Papers Published in Conference Proceedings

• Aboujaoude, A., Burrow, J., Hendrickson, J., Agha, I., Sarangan, A. M., & Haus, J. W.(2018). Influence of geometry on speed of phase-change in GST-based nanorods. Conference on Lasers and Electro-Optics (CLEO). 
• Aburakhis, M., & Ordóñez, R. E. (2018). Interaction of fractional order adaptive law and fractional order PID controller for the ball and beam control system. IEEE NAECON. 
• Aldaouab, I., Daniels, M. W., & Ordóñez, R. E. (2018). Model predictive control energy dispatch to optimize renewable penetration for a microgrid with battery and thermal storage. College Station, TX: IEEE Texas Power and Energy Conference (TPEC).
• Ali, R., Hardie, R. C., & Essa, A. (2018). A leaf recognition approach to plant classification using machine learning. NAECON 2018-IEEE National Aerospace and Electronics Conference (pp. 431-434), Dayton, OH. Retrieved from doi: 10.1109/NAECON.2018.8556785 and http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556785&isnumber=8556635
• Alom, M. Z., Aspiras, T., Taha, T., Asari, V. K., & Brown, T. J. (2018). Advanced deep convolutional neural network approaches for digital pathology image analysis: A comprehensive evaluation with different use cases. In Asari, (Ed.). San Diego, CA: Proceedings of Pathology Visions 2018. Retrieved from https://digitalpathologyassociation.org/pathology-visions-conference
• Alom, M. Z., Yakopcic, C., Taha, T., & Asari, V. K. (2018). Nuclei segmentation with recurrent residual convolutional neural networks-based U-Net (R2U-Net). Dayton: Proceedings of the IEEE National Aerospace & Electronics Conference (pp. 1-6). Retrieved from www.semanticscholar.org/paper/Nuclei-Segmentation-with-Recurrent-Residual-Neural-Alom-Yakopcic/d6785c954cc5562838a57e185e99d0496b5fd5a2
• Asari, V. K. (2018). Microscopic blood cell classification using inception recurrent residual convolutional neural networks. In V. K. Asari, (Ed.), (pp. 1-6). Dayton: Proceedings of the IEEE National Aerospace & Electronics Conference. Retrieved from www.semanticscholar.org/paper/Microscopic-Blood-Cell-Classification-Using-Neural-Alom-Yakopcic/d4f203a4efbe5e777740c6502f95521909f9df73
• Burrow, J., Yahiaoui, R., Sarangan, A. M., Mathews, J., Agha, I., & Searles, T. (2018). Mode hybridization in lattice induced transparency for polarization-insensitive THz metasurfaces. Conference on Lasers and Electro-Optics (CLEO).
• Chatterjee, M. R., & Ataai, R. Y. (2018). Image transmission across a nonchiral/chiral boundary based on dispersive Fresnel coefficients. In M. Chatterjee, (Ed.), (pp. JW3A.50). Washington, DC: Optical Society of America Frontiers in Optics. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2018-JW3A.50
• Chatterjee, M. R., & Ataai, R. Y. (2018). Electromagnetic propagation across dispersive chiral boundaries using discrete spectral frequencies and phasor approach to Fresnel coefficients. In M. Chatterjee, (Ed.), (pp. 15). Dayton: IEEE NAECON. Retrieved from http://sites.ieee.org/naecon-2018/files/2018/07/Naecon_2018_Schedule_Agenda_Detailed_07042018_v19.pdf
• Chatterjee, M. R., & Bugoffa, S. (2018). Impact of dielectric and magnetic losses on the negative index characteristics of a dispersive chiral material with first-order sideband dispersion. In M. Chatterjee, (Ed.). Dayton: IEEE NAECON 2018. Retrieved from http://sites.ieee.org/naecon-2018/
• Chen, X., Yu, J., Ye, F., & Wang, P. (2018). A hierarchical approach to encrypted data packet classification in smart home gateways. 2018 IEEE CyberSciTech (pp. 41-45).
• Duran, J., & Sarangan, A. M. (2018). Internal quantum efficiency dependence on thickness of NiSi Schottky barrier photodetectors. IEEE Photonics Conference. Retrieved from https://ieeexplore.ieee.org/document/8527106
• Essa, A., & Asari, V. K. (2018). Multi-feature fusion-based approach for robust face recognition. (pp. 1-6). Orlando, FL: Proceedings of the SPIE Defense + Commercial Sensing: Mobile Multimedia/Image Processing, Security, and Applications. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10668/2305371/Multi-feature-fusion-based-approach-for-robust-face-recognition/10.1117/12.2305371.full 
• Fang, D., & Ye, F. (2018). Identity management framework for e-health systems over 5G Networks. 2018 IEEE International Conference on Communications (ICC) (pp. 1-6). 
• Fang, D., Ye, F., Qian, Y., & Sharif, H. (2018). Small base station management-improving energy efficiency in heterogeneous networks. 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) (pp. 1191-1196). 
• Gong, M., Essa, A., & Asari, V. K. (2018). Integrated color, shape and texture features for object classification on oil/gas pipeline right-of-ways. (pp. 1-10). Orlando, FL: Proceedings of the SPIE Defense + Security: Automatic Target Recognition. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10648/106480E/Integrated-color-shape-and-texture-features-for-object-classification-on/10.1117/12.2305109.full 
• Guan, X., Wan, X., Ye, F., & Choi, B.-Y. (2018). Handover minimized service region partition for mobile edge computing in wireless metropolitan area networks. 2018 IEEE International Smart Cities Conference (ISC2) (pp. 1-6). 
• Guo, P., Sevinson, G., Burrow, J., Agha, I., & Sarangan, A. M. (2018). Electrical and optical properties of nickel-doped Ge2Sb2Te5films produced by magnetron co-sputtering. SPIE - Nanoengineering: Fabrication, Properties, Optics, and Devices XV. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10730/2320843/Electrical-and-optical-properties-of-nickel-doped-Ge2Sb2Te5-films-produced/10.1117/12.2320843.short?SSO=1 
• Gyawali, S., Xu, S., Ye, F., Hu, R. Q., & Qian, Y. (2018). A D2D based clustering scheme for public safety communications. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) (pp. 1-5). 
• Hardie, R. C., Rucci, M. A., Karch, B. K., Dapore, A. J., & Droege, D. R. (2018, May). Super-resolution in the presence of atmospheric optical turbulence. Proc. of SPIE 10650, Long-Range Imaging III (pp. 106500H). Retrieved from https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10650/106500H/Super-resolution-in-the-presence-of-atmospheric-optical-turbulence/10.1117/12.2303657.full?SSO=1. 
• He, R., Zhang, Y., & Hirakawa, K. (2018). Square coded aperture: A large aperture with infinite depth of field. IS&T Electronic Imaging.
• Hettiarachchi, D. L., & Balster, E. (2018). An accelerated SAR back projection algorithm using integer arithmetic. In E. Balster, (Ed.). Honolulu, HI: Asia-Pacific Signal and Information Process Association Annual Summit and Conference.
• Huang, J., Fang, D., Ye, F., Hu, R. Q., & Qian, Y. (2018). A Relay selection scheme to prolong connection time for public safety communications. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) (pp. 1-5). 
• Hussain, M., Gao, Z., de Ceglia, D., Vincenti, M., Sarangan, A. M., Agha, I., Scalora, M., Banerjee, P., & Haus, J. W. (2018). Enhanced Harmonic Generation in Metal-Insulator-Metal Nanostructures. Conference on Lasers and Electro-Optics (CLEO). 
• Karam, C., Sugimoto, K., & Hirakawa, K. (2018). Near-constant time bilateral filter for high dimensional images. IEEE International Conference on Image Processing. Retrieved from https://drive.google.com/open?id=13UJxpGrwoAGr5Bk5s8DBHT_9Ut7i2rZW
• Krieger, E., Aspiras, T., Asari, V. K., Krucki, K., Wauligman, B., Diskin, Y., & Salva, K. (2018). Vehicle tracking in full motion video using the progressively expanded neural network tracker. (pp. 1-9). Orlando, FL: Proceedings of the SPIE Defense + Security: Pattern Recognition and Tracking. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10649/106490I/Vehicle-tracking-in-full-motion-video-using-the-progressively-expanded/10.1117/12.2305391.full 
• Krieger, E., Aspiras, T., Diskin, Y., & Asari, V. K. (2018). Long short working memory (LSWM) integration with polynomial connectivity for object tracking in wide area motion imagery. (pp. 1-6). Auckland: Proceedings of the IEEE International Conference on Advanced Video and Signal-based Surveillance. Retrieved from https://ieeexplore.ieee.org/document/8639095 
• Lee, M., Wang, J., Li, H., Ye, F., & Yue, H. (2018). Reader scheduling for information collection in large-scale RFID systems. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) (pp. 1-5). 
• Liu, R., Peng, T., Asari, V. K., & Loomis, J. (2018). Real-time 3D scene reconstruction and localization with surface optimization. In Asari, (Ed.), (pp. 1-6). Dayton: Proceedings of the IEEE National Aerospace & Electronics Conference. Retrieved from www.semanticscholar.org/paper/Real-time-3D-scene-reconstruction-and-localization-Liu-Peng/a919ce16edf192ae52cab16688bf75646003c016 
• Martell, P., & Asari, V. K. (2018). Hierarchical auto-associative polynomial convolutional neural network (HAP-CNN) for pattern classification. (pp. 1-6). Burlingame, CA: Proceedings of the IS&T International Symposium on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World. Retrieved from www.ingentaconnect.com/contentone/ist/ei/2018/00002018/00000010/art00004 
• Mekonen, S., Yahiaoui, R., Burrow, J., Sarangan, A. M., Agha, I., Mathews, J., & Searles, T. (2018). Tunable electromagnetically induced transparency in Ge2Sb2Te5-based infrared metasurfaces. Frontiers in Optics / Laser Science, Optical Society of America. 
• Mohamed, A. A., & Chatterjee, M. R. (2018). Turbulence mitigation using chaos-modulated image propagation along a slanted path under gamma-gamma atmospheric turbulence. In M. R. Chatterjee, (Ed.), (pp. JTu3A.29). Washington, DC: Optical Society of America Frontiers in Optics. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2018-JTu3A.29 
• Mohamed, A. A., & Chatterjee, M. R. (2018). Mitigation of image intensity distortion using chaos-modulated image propagation through gamma-gamma atmospheric turbulence. In M. R. Chatterjee, (Ed.), (pp. 106500E-1-16). Orlando, FL: SPIE Proceedings Defense+Security 2018. 
• Narayanan, B. N., Hardie, R. C., & Kebede, T. M. (2018). Performance analysis of feature selection techniques for support vector machine and its application for lung nodule detection. (pp. 262-266). Dayton, OH: NAECON 2018 - IEEE National Aerospace and Electronics Conference. Retrieved from doi: 10.1109/NAECON.2018.8556669and http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8556669&isnumber=8556635
• Narita, R., Hirakawa, K., & Aizawa, K. (2018). In betweenings between line drawings of consecutive frames using distance transformation for animation production support. Forum on Information Technology. Retrieved from https://www.ipsj.or.jp/event/fit/fit2018/
• Ragb, H., & Asari, V. K. (2018). A feature fusion strategy for human detection in omnidirectional camera imagery. (pp. 1-5). Burlingame, CA: Proceedings of the IS&T International Symposium on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World. Retrieved from https://www.ingentaconnect.com/contentone/ist/ei/2018/00002018/00000010/art00010 
• Ragb, H., Asari, V. K., & Aspiras, T. (2018). Human detection in infrared imagery using intensity distribution, gradient and texture features. (pp. 1-8). Orlando, FL: Proceedings of the SPIE Defense + Commercial Sensing: Mobile Multimedia/Image Processing, Security, and Applications. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10668/106680G/Human-detection-in-infrared-imagery-using-intensity-distribution-gradient-and/10.1117/12.2305389.full 
• Ragb, H., Aspiras, T., & Asari, V. K. (2018). Human detection in infrared imagery using gradient and texture features and super-pixel segmentation. In Asari, (Ed.), (pp. 1-7). Woburn, MA: Proceedings of the IEEE International Conference on Technologies for Homeland Security. Retrieved from https://ieeexplore.ieee.org/document/8574136 
• Ragb, H., Aspiras, T., & Asari, V. K. (2018). Depth and super-pixel extraction for augmenting human detection. (pp. 1-6). Burlingame, CA: Proceedings of the IS&T International Symposium on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World. Retrieved from www.ingentaconnect.com/contentone/ist/ei/2018/00002018/00000010/art00002
• Sevison, G., Burrow, J., Aboujaoude, A., Mircovich, M., Sarangan, A. M., Hendrickson, J., & Agha, I. (2018). Free-space optical switching of GST phase-change thin films via 1550 nm light. Conference on Lasers and Electro-Optics (CLEO). 
• Sharma, M., & Ordóñez, R. E. (2018). Modeling and applications of a variable spring series elastic actuator. IEEE International Conference on Robot and Human Interactive Communication. 
• Sidike, P., Sagan, V., Asari, V. K., & Maimaitijiang, M. (2018). A multi-component based volumetric directional pattern for texture feature extraction from hyperspectral imagery. In V. K. Asari, (Ed.), (pp. 1-9). Orlando, FL: Proceedings of the SPIE Defense + Security: Pattern Recognition and Tracking. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10649/2309317/A-multi-component-based-volumetric-directional-pattern-for-texture-feature/10.1117/12.2309317.full?SSO=1 
• Veeraboina, A., & Ordóñez, R. E. (2018). Design and implementation of nonlinear control methods on 3DOF Helicopter via Micro-Controller. IEEE NAECON. 
• Wan, X., Zhao, W., Guan, X., Ye, F., & Bai, G. (2018). Performance guaranteed traffic signal control with frame-based algorithm. 2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 1-2). 
• Xie, Z., Haritashya, U., & Asari, V. K. (2018). GlacierNet: A novel convolutional neural network application for debris-covered glacier mapping. In V. K. Asari, (Ed.). Indianapolis, IN: Proceedings of the 130th Annual Meeting of The Geological Society of America. Retrieved from https://gsa.confex.com/gsa/2018AM/webprogram/Paper323052.html 
• Xu, S., & Ye, F. (2018). A predicate encryption-based anomaly detection scheme for e-health communications network. 2018 IEEE International Conference on Communications (ICC) (pp. 1-6). 
• Yahiaoui, R., Mathews, J., Burrow, J., Agha, I., Sevinson, G., Urbas, A., Sarangan, A. M., & Searles, T. (2018). Thermally tunable far-infrared metasurfaces enabled by Ge2Sb2Te5 phase-change material. 2018 IEEE Research and Applications of Photonics In Defense Conference (RAPID). Retrieved from https://ieeexplore.ieee.org/document/8508956

Invited Lectures

• Asari, V. K. (2018, December). Trends in multiperspectivity learning for advanced intelligent systems. Presented at the FesTalk 2018: Connecting Industry 4.0, Pune, India.
•  Asari, V. K. (2018, April). Automated threat detection system (ATDS). Presented at the 2018 PRCI Webinar, Dayton, OH.

Abstracts

• Alom, M. Z., Sidike, P., Hasan, M., Taha, T., & Asari, V. K. (2018). Handwritten Bangla character recognition using the state-of-the-art deep convolutional neural networks. (6747098th ed., vol. 2018, pp. 1-13). Hindawi. Retrieved from www.hindawi.com/journals/cin/2018/6747098/
• Gong, M., Essa, A., & Asari, V. K. (2018). Multi-feature fusion approach for object classification on oil/gas pipeline right-of-ways. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/
• Gong, M., Essa, A., Sudakov, I., & Asari, V. K. (2018). A survey of tundra lake size changes during 40-year time interval observed in historical maps and satellite images. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/
• Hampshire, B. M., & Asari, V. K. (2018). Mobile Sensor Lab. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/
• Liu, R., & Asari, V. K. (2018). Real-time camera tracking and 3D scene reconstruction based on pose graph. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/
• Sorg, B., Demeter, J., Jereb, A., Kern, C., Stanton, J., Sargent, G., & Asari, V. K. (2018). Brain machine interface software application for data collection, thought analysis and robotic arm control. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/
• Xie, Z., & Asari, V. K. (2018). Convolutional neural network based multi-view object classification. Dayton: Proceedings of the Brother Joseph W Stander Symposium. Retrieved from https://udayton.edu/provost/stander/.
• Xie, Z., Haritashya, U., & Asari, V. (2018). A novel convolutional neural network application for debris-covered glacier mapping. (6th ed., vol. 50). Indianapolis: Geological Society of America Annual Meeting. Retrieved from https://gsa.confex.com/gsa/2018AM/webprogram/Paper323052.html.
• Yahiaoui, R., Mekonen, S., Burrow, J., Williams, P., Sarangan, A. M., Agha, I., Mathews, J. & Searles, T. (2018). Toroidal response of asymmetric metasurfaces with multiple high Q-factor resonance. Conference on Lasers and Electro-Optics (CLEO). 
• Ying, D., & Ye, F. (2018). Incentive D2D off-loading scheme for energy efficiency in the next-generation mobile networks. 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall) (pp. 1-5). 
• Zhang, J., Ye, F., & Qian, Y. (2018). A distributed network QoE measurement framework for smart networks in smart cities. 2018 IEEE International Smart Cities Conference (ISC2) (pp. 1-7). 
• Zhou, W., Wang, P., Chen, X., & Ye, F. (2018). An improved bloom filter in distributed crawler. 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 1797-1802).

Technical Report

Poster

• Asari, V. K., Aspiras, T., & Sorg, B. (2018, January). Depth and super-pixel extraction for augmenting human detection. Presented at the IS&T International Symposium on Electronic Imaging, Burlingame, CA, USA.

Presentations

• Asari, V. K. (2018, November). Long short working memory (LSWM) integration with polynomial connectivity for object tracking in wide area motion imagery. Presented at the AVSS 2018: IEEE International Conference on Advanced Video and Signal-based Surveillance International Workshop on Traffic and Street Surveillance for Safety and Security(T4S), Auckland, New Zealand.
• Asari, V. K. (2018, October). Human detection in infrared imagery using gradient and texture features and superpixel segmentation. Presented at the IEEE HST 2018: IEEE International Symposium on Technologies for Homeland Security, Woburn-Boston, MA.
• Asari, V. K., Essa, A., Aspiras, T., Diskin, Y., Kozlovszky, M., & Stojcsics, D. (2018, July). Visual perception and intelligence in autonomous systems (tutorial). Presented at the NAECON 2018: IEEE National Aerospace & Electronics Conference, Dayton, OH.
• Asari, V. K. (2018, July). Visual perception for autonomy application to object detection and behavior analysis in complex environmental conditions (keynote). Presented at the Multimedia & AI 2018: Global Summit and Expo on Multimedia & Artificial Intelligence, Rome, Italy.
• Asari, V. K. (2018, July). Novel LiDAR data analysis techniques for region segmentation and classification (keynote). Presented at the EuroOptics 2018: European conference on Lasers, Optics and Photonics, Prague, Czech Republic.
• Asari, V. K., & Sidike, P. (2018, April). A multi-component based volumetric directional pattern for texture feature extraction from hyperspectral imagery. Presented at the SPIE DCS2018: Defense + Commercial Sensing: Defense + Security Program, Orlando, FL.
• Asari, V. K. (2018, April). Automatic intrusion detection on oil/gas pipeline right-of-way. Presented at the SPIE DCS2018: Defense + Commercial Sensing: Defense + Security Program, Orlando, FL.
• Asari, V. K. (2018, April). Human detection in infrared imagery using gradient and texture features. Presented at the SPIE DCS2018: Defense + Commercial Sensing: Defense + Security Program, Orlando, FL.
• Asari, V. K. (2018, April). Multi-feature fusion-based approach for robust face recognition. Presented at the SPIE DCS2018: Defense + Commercial Sensing: Defense + Security Program, Orlando, FL.
• Asari, V. K. (2018, April). Vehicle tracking in full motion video using the PEN-Net tracker. Presented at the SPIE DCS2018: Defense + Commercial Sensing: Defense + Security Program, Orlando, FL.
• Asari, V. K. (2018, January). A feature fusion strategy for human detection in omnidirectional camera imagery. Presented at the EI 2018: IS&T International Symposium on Electronic Imaging, Burlingame, CA.
• Asari, V. K. (2018, January). Hierarchical auto-associative polynomial convolutional neural network (HAP-CNN) for pattern classification. Presented at the EI 2018: IS&T International Symposium on Electronic Imaging, Burlingame, CA.
• Chatterjee, M. R., & Mohamed, A. (2018, April). Mitigation of image intensity distortion using chaotic image propagation through gamma-gamma atmospheric turbulence. Presented at the SPIE Defense and Security Conference 2018, Orlando, FL.
• Ordóñez, R. E. (2018). A predictive reference governor for synchronous generator regulation with a pulsed constant power load. Presented at the AFRL Turbine Engine Technology Symposium, Dayton, OH.

Magazine/Trade Publication

• Alom, M. Z., Taha, T., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., Esesn, B. C. V., Awwal, A. & Asari, V. K. (2018). The history began from AlexNet: A comprehensive survey on deep learning approaches. Cornell University, 1-39. Retrieved from https://arxiv.org/abs/1803.01164

Workshop

• Asari, V. K. (2018, July). Presented at the ICML 2018: International Conference on Machine Learning, Stockholm, Sweden.

Sponsored Research

• Asari, V. K. (2015 - 2018), Feature fusion for object tracking. Air Force Research Laboratories (AFRL/RY), Federal, $340,000.00.
• Asari, V. K. (2017 - 2018), Object tracking via deep learning. Air Force Office of Scientific Research, Federal, $75,000.00.
• Asari, V. K. (2017 - 2018), An illumination/contrast invariant multi-feature fusion approach for efficient human detection and self-organized neural network based scene segmentation and labeling. U.S. Army Night Vision and Electronic Sensors Directorate (through EOIR Technologies, Inc.), Federal, $149,000.00.
• Asari, V. K. (2017 - 2018), Bicycle safety proximity project. Air Force Research Laboratories through University of Dayton Research Institute, Federal, $30,000.00.
• Balster, E. (2013 - Present), Research, development, and evaluation of surveillance imaging (R-DESI). AFRL/RYAA, Federal, $900,000.00.
• Chodavarapu, V., & Subramanyam, G. (2016 - 2019), Cloud MEMS: Cybermanufacturing of micro-electro-mechanical systems. National Science Foundation, Federal, $249,999.00. 
• Chodavarapu, V., & Subramanyam, G. (2017 - 2019), Development of high-temperature LTCC smart node for FADEC. United States Air Force/Spectral Energies LLC, Federal, $245,000.00. 
• Chodavarapu, V., & Subramanyam, G. (2017 - 2018), Development of die extraction and reassembly process for improved functionality. United States Air Force/Spectral Energies, LLC, Federal, $30,000.00. 
• Chodavarapu, V. (2015 - 2018), Start up. University of Dayton, University of Dayton, $120,000.00.
• Hardie, R. C. (2018 - 2021), Electro-optical combined hyperspectral imaging, infrared search and track, and long range imaging R&D (EO-CHIL), Task order 0002 – Standoff high resolution imaging (SHRI). Leidos, Inc., Beavercreek, OH (from AFRL), Local, $777,939.00. 
• Hardie, R. C. (2018 - 2019), Unmanned aerial vehicle detection and identification algorithm development for counter-UAS capability. L3 Technologies, Mason OH, Local, $249,610.00.
• Hirakawa, K. (2016 - Present). Samsung (Gift), Other, $60,000.00. 
• Hirakawa, K. (2018 - 2019), Color imaging forensics. Honeywell/DARPA, Federal, $133,647.00. 
• Hirakawa, K. & Brookshire, C. (2018 - 2019), Stochastic structure-property relationships of continuous ceramic fiber reinforced ceramics. DAGSI/RX, Federal, $44,000.00. 
• Hirakawa, K. (2017 - 2018), BRDF capture using Fresnel lens. Japan National Institute of Information and Communications Technology, Other, $36,000.00. 
• Hirakawa, K. & Ambrozic, C. (2017 - 2018), Stochastic structure-property relationships of continuous ceramic fiber reinforced ceramics. DAGSI/RX, Federal, $44,130.00. 
• Ordóñez, R. E. (2017 - Present), More electric aircraft generator control. AFRL, Federal, $200,000.00. 
• Ordóñez, R. E. (2018 - 2019), A novel effective and efficient method for real time prevention and detection of and intervention in cyber-attacks for avionics systems. AFRL, Federal, $275,093.00. 
• Sarangan, A. M. (2018 - Present), Laser-assisted chemical etching for deep silicon micromachining. Lam Research, Private, $25,000.00. 
• Sarangan, A. M. (2017 - 2020), Antireflection Coatings. UES/AFRL, Federal, $53,271.00. 
• Agha, I., & Sarangan, A. M. (2017 - 2020), Collaborative research: Nanopatterning and temporal control of phase-change materials for reconfigurable photonics. National Science Foundation, Federal, $198,000.00. 
• Sarangan, A. M. (2017 - 2019), Transition metal nitrides for opto-electronic applications and new ferroelectrics and composite multiferroic materials for RF. AFRL/UES, Federal, $98,734.00. 
• Sarangan, A. M., Lombardo, D., & Agha, I. (2016 - 2019), An integrated photonics CMOS compatible platform for chemical and biological sensors. Dayton Area Graduate Studies Institute, State, $70,992.00. 
• Sarangan, A. M. (2018 - 2019), Wiregrid polarizer development for automotive applications. Gentex Corp, Private, $34,602.00. 
• Sarangan, A. M. (2017 - 2018), Design and assessment of wiregrid polarizers for automotive applications. Gentex Corp, Private, $29,240.00.
• Agha, I., Haus, J. W., & Sarangan, A. M. (2015 - 2018), Nonlinear optical signatures of electronic quantum tunneling effects in nanoplasmonic systems. Army Research Office, University of Dayton, $405,000.00. 
• Agha, I., Haus, J. W., & Sarangan, A. M. (2015 - 2018), Quantum tunneling and plasmonics. Army Research Office, Federal, $405,000.00. 
• Haus, J. W., Agha, I., & Sarangan, A. M. (2017 - 2018), Fast optical limiters with enhanced dynamic range. AEgis Technology Group LLC, Private, $74,997.00. 
• Taha, T., & Subramanyam, G. (2018 - 2021), SHF: Small neuromorphic architectures for online learning. National Science Foundation, Federal, $439,998.00.
• Subramanyam, G., & Kumar, J. (2017 - 2020), Extreme temperature LiS batteries. NASA, Federal, $650,000.00. 
• Subramanyam, G., & Taha, T. (2017 - 2020), Neuromorphic architectures for online learning. NSF, Federal, $440,000.00. 
• Subramanyam, G., & Chodavarapu, V. (2017 - 2019), High temperature LTCC smart node for FADEC (SBIR Phase II). Air Force, Federal, $250,000.00. 
• Subramanyam, G., & Kumar, J. (2016 - 2019), Thermal fail-proof Li-ion battery operation. Federal Aviation Authority, Federal, $600,000.00. 
• Subramanyam, G., & Chodavarapu, V. (2016 - 2019), Cloud MEMS. NSF, Federal, $500,000.00. 
• Subramanyam, G., & Kumar, J. (2016 - 2018), High energy/power, long cycle life, thermally safe Li-S battery development. Ohio Federal Research Network, Centers of Excellence, State, $450,000.00. 
• Subramanyam, G., & Browning, C. (2013 - 2018), Research collaboration program: Oxide thin film based novel RF and EO devices. Air Force/Clarkson Aerospace, Federal, $700,000.00. 
• Subramanyam, G., & Chodavarapu, V. (2017 - 2018), Die extraction and reassembly (DER) (SBIR Phase I). Air Force, Federal, $45,000.00. 
• Subramanyam, G., & Kumar, J. (2016 - 2018), STTR Phase II: Ceramic polymer composite electrolyte. Cornerstone Research Group, Federal, $400,000.00. 
• Taha, T. (2018 - 2019), Neuromorphic processing device assessment research. US Air Force, Federal, $200,000.00. 
• Taha, T., & Browning, C. E. (2018), Cyber-spectrum research and technology development virtual environment. Clarkson Aerospace, Private, $300,000.00. 
• Taha, T. (2017 - 2018), Autonomy research initiatives. US Air Force, Federal, $605,645.00. 
• Taha, T. (2017 - 2018), Neuromorphic processing device assessment research. US Air Force, Federal, $85,000.00.
• Ye, F. (2018 - 2019), Seamless cross-technology communication platform for IoT applications. Department of Energy, Federal, $74,998.00. 
• Ye, F. (2018), UDRI research fellowship program. University of Dayton - UDRI, University of Dayton, $15,000.00. 
• Zhao, C., & Zhan, Q. (2018 - 2021), Non-destructive laser-induced transfer of nanostructures to flexible substrates with sub-5 nanometer resolution. National Science Foundation, $317,158.00. 
• Agha, I., & Zhan, Q. (2016 - 2018), Optoelectronic technology research, AFRL/RYDH & RYDP. Air Force Research Laboratory, Federal, $110,000.00.

Books

• Chatterjee, M. R. (2017). Seasons of life: panoramic selection of Tagore songs. Springboro: Amazon Kindle, USA.
• Chatterjee, M. R. (2017). Rabindranath Tagore's Africa. Kolkata: Institute of Social and Cultural Studies.

Journal Articles

• Ali, R. A. & Hardie, R. C. (2017). Recursive non-local means filter for video denoising. EURASIP Journal on Image and Video Processing, 2017(1), 29. Retrieved from http://dx.doi.org/10.1186/s13640-017-0177-2
• Alom, Z., Sidike, P., Taha, T. & Asari, V. K. (2017). State preserving extreme learning machine: a monotonically increasing learning approach. Neural Processing Letters, 45(2), 703–725. Retrieved from link.springer.com/article/10.1007/s11063-016-9552-8
• Ananthanarayanan, H. & Ordóñez, R. E. (2017). A fast converging optimal technique applied to path planning of hyper-redundant manipulators. Mechanism and Machine Theory, 118, 231-246. Retrieved from www.sciencedirect.com/science/article/pii/S0094114X17304962
• Aspiras, T. & Asari, V. K. (2017). Hierarchical autoassociative polynimial network (HAP Net) for pattern recognition. Neurocomputing, 222, 1-10. Retrieved from www.sciencedirect.com/science/article/pii/S0925231216311298
• Balster, E., Scarpino, F. A., Kordik, A. & Hill, K. L. (2017). SAR imaging simulator for pulse envelope evaluation. SPIE Journal of Applied Remote Sensing (JARS), 11(4).
• Burrow, J., Yehyaoui, R., Sarangan, A. M., Agha, I., Mathews, J. & Searles, T. (2017). Polarization-dependent electromagnetic responses of ultrathin and highly flexible asymmetric terahertz metasurfaces. Optics Express, 25(26), 10.
• Chodavarapu, V. (2017). Capacitive MEMS absolute pressure sensor using a modified commercial microfabrication process. Springer Microsystem Technologies, 23(8), 3215–3225.
• Chodavarapu, V. (2017). Wafer-level vacuum-encapsulated rate gyroscope with high quality factor in a commercial MEMS process. Springer Microsystem Technologies, 23(8), 3745–3756.
• Diego, G.-M., Haus, J. W., Chong, A., Ankita, K., Sarangan, A. M. & Hansen, K. M. (2017). Bi-tapered fiber sensor using visible to near infrared light. Sensors and Actuators A: Physical, 263(15), 285-290.
• Duran, J. M. & Sarangan, A. M. (2017). Fabrication of ultrahigh aspect ratio silicon nanostructures using self-assembled gold metal-assisted chemical etching. Journal of Micro/Nanolithography, MEMS, and MOEMS, 16(8).
• Essa, A., Sidike, P. & Asari, V. K. (2017). Volumetric directional pattern for spatial feature extraction in hyperspectral imagery. IEEE Geoscience and Remote Sensing Letters, 14(7), 1-5. Retrieved from ieeexplore.ieee.org/document/7917331/
• Fang, D., Ye, F., Qian, Y. & Sharif, H. (2017). A cloud-based incentive mechanism for sensing in mobile sensor networks. International Journal of Handheld Computing Research (IJHCR), 8(3), 1-14.
• Hardie, R. C. & Karch, K. (2017). Block matching and Wiener filtering approach to optical turbulence mitigation and its application to simulated and real imagery with quantitative error analysis. Optical Engineering, 56(7). Retrieved from https://doi.org/10.1117/1.OE.56.7.071503
• Hardie, R. C., Power, J. D., LeMaster, D. A., Droege, D. R., Gladysz, S. & Bose-Pillai, S. (2017). Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis. Optical Engineering, 56(7). Retrieved from http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=2603089
• Hardie, R. C. & R. Droege,Szymon  Gladysz,Santasri  Bose-Pillai (2017). Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis. Optical Engineering, 56(7). Retrieved from https://doi.org/10.1117/1.OE.56.7.071502
• Hardie, R. C., Rucci, M. A., Dapore, A. J. & Karch, B. K. (2017). Multi-frame atmospheric optical turbulence mitigation with quantitative error analysis using simulated and real image sequences. Optical Engineering, 56(7). Retrieved from http://opticalengineering.spiedigitallibrary.org/article.aspx?articleid=2603090
• Hirakawa, K. (2017). Fourier multispectral imaging: measuring spectra, one sinusoid at a time. Computational Color Imaging Workshop, 2017.
• Hytla, P. C., Balster, E., Vasquez, J. R. & Neuroth, R. M. (2017). Multi-ratio fusion change detection with adaptive thresholding. SPIE Journal of Applied Remote Sensing, 11(2).
• Lee, Y., Hirakawa, K. & Nguyen, T. (2017). Joint defogging and demosaicking. IEEE Transactions on Image Processing.
• Littlejohn, A., Yang, Y., Lu, Z., Shin, E., Pan, K., Subramanyam, G. & Vasilyev, V. (2017). Naturally formed ultrathin V2O5 heteroepitaxial layer on VO2/sapphire(001) film. Applied Surface Science, 419(10), 365-372.
• Liu, R. & Asari, V. K. (2017). 3D reconstruction revisited: real-time indoor scene reconstruction by using RGB-D sensor. Asian Journal of Physics (AJP), 26(3&4), 197-212. Retrieved from gibo11-asianjou-primary.hostgator.co.in/content2/vol-26-2017/vol-26-no-3n4
• McGuinness, C. & Balster, E. (2017). Enabling reliable change detection for independently compressed SAR images. IEEE Transactions on Geoscience and Remote Sensing, 55(8).
• Narayanan, B. N., Hardie, R. C., Kebede, T. M. & Sprague, M. J. (2017). Optimized feature selection-based clustering approach for computer-aided detection of lung nodules in different modalities. Pattern Analysis and Applications. Retrieved from https://doi.org/10.1007/s10044-017-0653-4
• Prince, D., Sidike, P., Essa, A. & Asari, V. K. (2017). Multi-feature fusion for automatic building change detection in wide area imagery. Journal of Applied Remote Sensing, 11(2), 026040: 1-20. Retrieved from remotesensing.spiedigitallibrary.org/article.aspx?articleid=2636851
• Sidike, P., Ghulam, A., Asari, V. K. & Alam, M. (2017). Efficient hyperspectral target detection using class-associative spectral fringe-adjusted JTC with dimensionality reduction techniques. Asian Journal of Physics (AJP), 26(3&4), 171-180. Retrieved from gibo11-asianjou-primary.hostgator.co.in/content2/vol-26-2017/vol-26-no-3n4
• Sidike, P., Krieger, E., Alom, Z., Asari, V. K. & Taha, T. (2017). A fast-single image super-resolution via directional edge guided regularized extreme learning regression. Signal, Image and Video Processing, 11(5), 961–968. Retrieved from link.springer.com/article/10.1007/s11760-016-1045-8
• Wan, C., Lombardo, D., Sarangan, A. M. & Zhan, Q. (2017). High efficiency geometric-phase polarization fan-out grating on silicon. Optics Express.
• Wang, S., Wang, W., Shin, E., Quach, T. & Subramanyam, G. (2017). Tunable inductors using vanadium dioxide as the control material. Microwave and Optical Technology Letters, 59(5), 1057-61.
• Wang, S., Wang, W., Yakopcic, C., Shin, E., Subramanyam, G. & Taha, T. (2017). Filament formation in lithium niobate memristors supports neuromorphic programming capability. Neural Computing and Application, 1-7.
• Wang, S., Wang, W., Yakopcic, C., Shin, E., Subramanyam, G. & Taha, T. (2017). Experimental study of LiNbO3 memristors for use in neuromorphic computing. Microelectronic Engineering, 168, 37-40.
• Ye, F., Qian, Y. & Hu, R. Q. (2017). Incentive load scheduling schemes for PHEV battery exchange stations in smart grid. IEEE Systems Journal, 11(2), 922--930.
• Zhan, Q., Chen, J. & Kong, L. (2017). Demonstration of a vectoral optical field generator with adaptive close loop control. Review of Scientific Instruments, 88(12), 125111.
• Zhan, Q., Chen, J., Wan, C. & Kong, L. (2017). Tightly focused optical field with controllable photonic spin orientation. Optics Express, 25(16), 19517-19528.
• Zhan, Q., Chen, J., Wan, C. & Kong, L. (2017). Experimental generation of complex optical fields for diffraction limited optical focus with purely transverse spin angular momentum. Optics Express, 25(8), 8966-8974.
• Zhan, Q., Chen, J., Wan, C. & Kong, L. (2017). Precise transverse alignment of spatial light modulator sections for complex optical field generation. Applied Optics, 56(10), 2614-2620.
• Zhan, Q., Chen, R., Zhang, X., Zhou, Y., Ming, H. & Wang, A. (2017). Detecting the topological charge of optical vortex beams using a sectorial screen. Applied Optics, 56(16), 4868-4872.
• Zhan, Q. & Forbes, A. (2017). Editorial for special issue on Complex Optical Fields. Chinese Optics Letters, 15(3), 03001-1.
• Zhan, Q., Lopez-Morales, G., Rico-Botero, V.-M. & Espinosa-Luna, R. (2017). Refractive index measurement of dielectric samples using highly focused radially polarized light. Chinese Optics Letters, 15(3), 03004.
• Zhan, Q., Wan, C. & Chen, J. (2017). Tailoring optical orbital angular momentum spectrum with spiral complex field modulation. Optics Express, 25(13), 15108-15117.
• Zhan, Q., Wan, C. & Chen, J. (2017). Compact and high-resolution optical orbital angular momentum sorter. APL Photonics /AIP, 2, 031302.
• Zhan, Q., Wan, C., Lombardo, D. & Sarangan, A. (2017). High efficiency geometric-phase polarization fan-out grating on silicon. Optics Express, 25(20), 24559-24565. 
• Zhan, Q., Wan, C., Rui, G. & Chen, J. (2017). Detection of photonic orbital angular momentum with micro- and nano-optical structures. Frontiers in Optoelectronics, 56.
• Zhan, Q., Wang, X., Gong, L., Zhu, Z. & Gu, B. (2017). Creation of identical multiple focal spots with three-dimensional arbitrary shifting. Optics Express, 25(15), 17737-17745.
• Zhan, Q., Yu, Y., Huang, H. & Zhou, M. (2017). Creation of a multi-segmented optical needle with prescribed length and spacing using the radiation pattern from a sectional-uniform line source. Scientific Reports, 7, 10708.
• Zhan, Q., Zhou, Y., Yan, K., Chen, R., Gu, C., Xu, L. & Wang, A. (2017). Resonance efficiency enhancement for cylindrical vector fiber laser with optically induced long period grating. Applied Physics Letters/AIP, 110(16), 161104.
• Zhan, Q., Zhou, Y., Yan, K., Yao, P., Gu, C., Xu, L., Wang, A. & Lin, J. (2017). Q-switching fiber laser based on carbon nano-tube for cylindrical-vector beams generation. Journal of Optics. 
• Zhang, J. & Hirakawa, K. (2017). Improved denoising via Poisson mixture modeling of image sensor noise. IEEE Transactions on Image Processing, PP(99), 1-1.

Papers Published in Conference Proceedings

• Albalooshi, F., Sidike, P. & Asari, V. K. (2017). Automatic detection and segmentation of oil leak in ocean environment. Middle East Heavy Oil Congress (MEHOC 2017): Exploration, Production & Transportation. Retrieved from www.worldheavyoilcongress.com/
• Alsuwian, T., Ordonez, R. E. & Jacobsen, L. (2017). Nonlinear adaptive control for longitudinal dynamics of hypersonic vehicle at subsonic speeds. AIAA Aviation Forum, Denver, CO.
• Asari, V. K. & Sidike, P. (2017). Automatic material segmentation in hyper-spectral imagery by a nonlinear line attractor neural network. OSA Imaging and Applied Optics Congress: Imaging Systems and Applications, San Francisco, CA. Retrieved from www.osa.org/en-us/meetings/osa_meetings/osa_imaging_and_applied_optics_congress/program/imaging_systems_and_applications/ 
• Aspiras, T., Asari, V. K. & Albalooshi, F. (2017). Multi-cascade self-organizing lattice boltzmann active contour for coarse/fine image segmentation and classification. IEEE Workshop on Applied Imagery and Pattern Recognition: Big Data, Analytics, and Beyond - AIPR 2017, Washington DC. Retrieved from www.aipr-workshop.org/
• Aspiras, T., Asari, V. K. & Neal, C. (2017). Integration of automated object detection and tracking system in full motion flight simulation system. The Image Society Conference: Image 2017, Dayton, OH. Retrieved from image-society.org/EVENTS/17IMAGE/Image17.html
• Aspiras, T., Asari, V. K. & Ragb, H. (2017). Enhanced human detection using gradient and texture features and super-pixel segmentation. IEEE Workshop on Applied Imagery and Pattern Recognition: Big Data, Analytics, and Beyond - AIPR 2017, Washington DC. Retrieved from www.aipr-workshop.org/
• Aspiras, T., Asari, V. K. & Stanard, T. (2017). Tracker fusion for robust object tracking and confidence reporting in wide area motion imagery. IEEE Workshop on Applied Imagery and Pattern Recognition: Big Data, Analytics, and Beyond - AIPR 2017, Washington DC. Retrieved from www.aipr-workshop.org/
• Aspiras, T., Asari, V. K. & Stanard, T. (2017). Tracker fusion for robust object tracking and confidence reporting in wide area motion imagery. IEEE International Conference on Technologies for Homeland Security (IEEE HST 2017), Waltham, MA. Retrieved from www.ieee-hst.org/
• Aspiras, T., Krieger, E. & Asari, V. K. (2017). Directional ringlet intensity feature transform (DRIFT) based object tracking in IR imagery. SPIE Optics and Photonics: Infrared Remote Sensing and Instrumentation XXV, San Diego, CA. Retrieved from spie.org/opo/conferencedetails/infrared-remote-sensing-and-instrumentation?SSO=1
• Awedat, K., Essa, A., Asari, V. K. & Stoppenbrink, D. (2017). Sparse representation-based classification performance under different optimization forms for face recognition. 2017 National Aerospace & Electronics Conference: Algorithms for Tracking in Aerial Surveillance, Dayton OH. Retrieved from http://naecon.org/
• Awedat, K., Essa, A. & Asari, V. K. (2017). Sparse representation classification based linear integration of l1-norm and l2-norm for robust face recognition. IEEE International Conference on Electro Information Technology (EIT 2017), Lincoln, NE. Retrieved from engineering.unl.edu/eit2017/
• Balster, E., Hoffman, M. P., Skeans, J. & Fan, D. (2017). GPGPU acceleration using OpenCL for a spotlight SAR simulator. ACM International Workshop on OpenCL, Toronto.
• Balster, E., Kordik, A. M., Scarpino, F. A. & Hill, K. L. (2017). Evaluation of aperture weighting techniques for SAR image formation. IEEE National Aerospace and Electronics Conference, Dayton, OH. Retrieved from 300 College Park
• Balster, E., Kordik, A., Scarpino, F. A. & Hill, K. L. (2017). Chirp pulse envelope evaluation for SAR image formation. In E. Balster, (Ed.). IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, NY. Retrieved from 300 College Park
• Balster, E., Scarpino, F. A., Kordik, A. M. & Hill, K. L. (2017). A simulator for spotlight SAR image formation. IEEE Computing and Communication Workshop and Conference, Las Vegas, NV. Retrieved from 300 College Park
• Chatterjee, M. R. & Ataai, R. (2017). Fresnel coefficients for electromagnetic propagation across a non-chiral and chiral dispersive interface with negative index. OSA FiO Technical Digest, Washington, DC. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2017-JW3A.121
• Chatterjee, M. R. & Bugoffa, S. (2017). Negative index in a dispersive chiral material with first-order sideband dispersion under dielectric losses. In M. Chatterjee, (Ed.), OSA FiO 2017 Technical Digest, Washington, DC. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2017-FM3D.4
• Chatterjee, M. R. & Mohamed, A. (2017). Slanted electromagnetic wave propagation through atmospheric phase turbulence using altitude-dependent structure parameter. IEEE NAECON 2017, Dayton, OH.
• Chatterjee, M. R. & Mohamed, A. (2017). Chaos-based mitigation of image distortion under anisoplanatic electromagnetic signal propagation through turbulence. OSA FiO Technical Digest, Washington, DC. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2017-JW4A.1
• Chatterjee, M. R. & Mohamed, A. (2017). Anisoplanatic image propagation along a slanted path under lower atmosphere phase turbulence in the presence of encrypted chaos. In E. J. Kelmelis, (Ed.), SPIE Proceedings Long-Range Imaging II, Bellingham, WA. Retrieved from www.spiedigitallibrary.org/conference-proceedings-of-spie/10204/102040G/Anisoplanatic-image-propagation-along-a-slanted-path-under-lower-atmosphere/10.1117/12.2269131.short?SSO=1
• Chodavarapu, V. & Uppalapati, B. (2017). Design and analysis of wafer-level vacuum-encapsulated disk resonator. IEEE National Aerospace & Electronics Conference (NAECON), Dayton, OH.
• Chodavarapu, V. & Behara, G. (2017). Towards autonomous depth perception for surveillance in real world environments. IEEE International Conference on Autonomic Computing (ICAC), Columbus, OH.
• Chodavarapu, V. & Behara, G. (2017). Towards autonomous surveillance in real world environments. IEEE National Aerospace & Electronics Conference (NAECON), Dayton, OH.
• Chodavarapu, V. & Huan, J. (2017). Microfabrication and packaging process for a single-chip position, navigation, and timing system. International Microelectronics Assembly and Packaging Society (IMAPS) Symposium, Raleigh, NC.
• Chodavarapu, V., Subramanyam, G. & Smarra, D. (2017). Embedded passive circuit elements in low temperature co-fired ceramic substrates for aerospace electronics. International Microelectronics Assembly and Packaging Society (IMAPS) Symposium, Raleigh, NC.
• Essa, A. & Asari, V. K. (2017). Fusing facial shape and appearance-based features for robust face recognition. 2017 National Aerospace & Electronics Conference: Algorithms for Tracking in Aerial Surveillance, Dayton, OH. Retrieved from http://naecon.org/
• Essa, A. & Asari, V. K. (2017). Multi-texture local ternary pattern for face recognition. Proceedings of the SPIE Defense + Security Conference: Pattern Recognition and Tracking XXVIII, Anaheim, CA. Retrieved from spie.org/Publications/Proceedings/Paper/10.1117/12.2263735
• Essa, A. & Asari, V. K. (2017). Local boosted features for illumination invariant face recognition. Proceedings of the IS&T International Conference on Electronic Imaging (Society for Imaging Science and Technology): Imaging and Multimedia Analytics in a Web and Mobile World, Burlingame, CA. Retrieved from www.ingentaconnect.com/contentone/ist/ei/2017/00002017/00000010/art00011
• Essa, A., Sudakov, I. & Asari, V. K. (2017). Detecting of tundra lake patterns on permafrost historical maps. 2017 National Aerospace & Electronics Conference, Dayton OH. Retrieved from http://naecon.org/
• Guo, P., Lombardo, D. & Sarangan, A. M. (2017). Vanadium dioxide switchable components based on wiregrids for mid-infrared applications. SPIE. 
• Krieger, E. & Asari, V. K. (2017). Visual perception based adaptive feature fusion for object tracking. IEEE International Conference on Systems, Man, and Cybernetics - SMC 2017, Banff, Alberta, Canada. Retrieved from www.smc2017.org/
• Lee, Y., Hirakawa, K. & Nguyen, T. (2017). Lossless compression of CFA sampled image using decorelated Mallat wavelet packet decomposition. IEEE International Conference on Image Processing. 
• Liu, R. & Asari, V. K. (2017). 3D indoor scene reconstruction and change detection for robotic sensing and navigation. SPIE Defense + Commercial Sensing: Mobile Multimedia/Image Processing, Security, and Applications 2017, Anaheim, CA. 
• Powar, N. U., Schneider, T., Skipper, J., Petkie, D., Asari, V. K., Riffle, R., Sherwood, M. & Cross, C. (2017). Thermal facial signatures for state assessment during deception. Proceedings of the IS&T International Conference on Electronic Imaging (Society for Imaging Science and Technology): Image Processing: Algorithms and Systems, Burlingame, CA. Retrieved from www.ingentaconnect.com/contentone/ist/ei/2017/00002017/00000013/art00015 
• Prince, D. & Asari, V. K. (2017). Automatic building change detection through linear feature fusion and difference of Gaussian classification. SPIE Optics and Photonics: Infrared Remote Sensing and Instrumentation XXV, San Diego, CA. Retrieved from spie.org/opo/conferencedetails/infrared-remote-sensing-and-instrumentation?SSO=1 
• Ragb, H. & Asari, V. K. (2017). Fused shape features based on gradients and local phase in color domain. 2017 National Aerospace & Electronics Conference: Algorithms for Tracking in Aerial Surveillance, Dayton, OH. Retrieved from http://naecon.org/
• Ragb, H. & Asari, V. K. (2017). Chromatic domain phase features with gradient and texture for efficient human detection. Proceedings of the IS&T International Conference on Electronic Imaging (Society for Imaging Science and Technology): Imaging and Multimedia Analytics in a Web and Mobile World, Burlingame, CA. Retrieved from www.ingentaconnect.com/contentone/ist/ei/2017/00002017/00000010/art00012
• Ragb, H., Aspiras, T., Asari, V. K. & Rawat, P. (2017). Omnidirectional camera image analysis for law-enforcement and border control applications. IEEE International Conference on Technologies for Homeland Security (IEEE HST 2017), Waltham, MA. Retrieved from www.ieee-hst.org/cfp.htm 
• Sargent, G., Ratliff, B. & Asari, V. K. (2017). Single image super-resolution via regularized extreme learning regression for imagery from microgrid polarimeters. SPIE Optics and Photonics: Polarization Science and Remote Sensing VIII, San Diego, CA. Retrieved from spie.org/opo/conferencedetails/infrared-remote-sensing-and-instrumentation?SSO=1 
• Sargent, G., Zhang, H., Alyssa, M., Van Camp, A., D'Arcy, A., Cassedy, A., Aspiras, T., Romstadt, E., Dicillo, V. & Asari, V. K. (2017). Brain machine interface for useful human interaction via extreme learning machine and state machine design. IEEE Symposium Series on Computational Intelligence - IEEE SSCI 2017, Honolulu, HI. Retrieved from www.ele.uri.edu/ieee-ssci2017/index.html 
• Sidike, P., Essa, A., Qumsiyeh, M. & Asari, V. K. (2017). Extreme learning machine with variance inflation factor for robust pattern recognition. SPIE Defense + Security: Pattern Recognition and Tracking XXVIII, Anaheim, CA. Retrieved from spie.org/SID/conferencedetails/optical-pattern-recognition
• Wan, C., Sarangan, A. M., Lombardo, D. & Zhan, Q. (2017). Geometric-phase polarization fan-out grating fabricated with deep-UV interference lithography. Journal of Physics: Conference Series.

Invited Lectures

• Asari, V. K. (2017, November). Computer vision and image understanding. Presented at the Fulbright, Santa Fe, Argentina.
• Asari, V. K. (2017, November). Computational intelligence and machine perception for autonomous systems. Presented at the Fulbright, Parana, Argentina.
• Asari, V. K. & Aspiras, T. (2017, October). Sensing, processing, and automatic decision making in real time. Presented at the Quest Meeting, Dayton, OH.
• Asari, V. K. (2017, April). Automatic detection and segmentation of oil leak in ocean environment. Presented at the MEHOC 2017: Middle East Heavy Oil Congress: Exploration, Production & Transportation, Kingdom of Bahrain.
• Sarangan, A. M. (2017, June). Electrical and optical properties of vanadium dioxide phase change thin films produced by ion-assisted reactive evaporation. Presented at the International Workshop on Thin Films for Electronics, Electro-Optics, Energy & Sensors, University of Dayton.
• Subramanyam, G. & Dey, S. (2017, November). Step coverage, macro-and micro-loading effects in SrTiO3 thin films by MOCVD. Presented at the U.S. Japan Seminar on Polar Dielectrics.
• Subramanyam, G. (2017, September). Optimization of BST phase shifters for beam forming applications. Presented at the International Meeting of Ferroelectricity, San Antonio, TX.
• Ye, F. (2017, December). A security architecture for networked internet of things devices. Nanjing, China.
• Ye, F. (2017, December). A security architecture for networked internet of things devices. Shanghai, China.

Posters

• Chatterjee, M. R. & Mohamed, A. (2017, September). Chaos-based mitigation of image distortion under anisoplanatic electromagnetic signal propagation through turbulence. Presented at the FIO OSA Annual Meeting 2017, Washington, DC.
• Chatterjee, M. R. & Ataai, R. (2017, September). Fresnel coefficients for electromagnetic propagation across a non-chiral and chiral dispersive interface with negative index. Presented at the FIO OSA Annual Meeting 2017, Washington, DC.

Presentations

• Asari, V. K. & Rogers, S. (2017, August). Autonomy, artificial intelligence, and human machine teaming. Presented at the TecEdge ICC: TecEdge Innovation and Collaboration Center, Dayton, OH.
• Asari, V. K. (2017, August). Sensing, processing and automatic decision making in real time. Presented at the RSET IFDP 2017: International Faculty Development Program on High Performance Computing & Data Science, Kochi, India.
• Asari, V. K. (2017, August). Automatic building change detection through linear feature fusion and difference of Gaussian classification. Presented at the SPIE OP 2017: SPIE Optics and Photonics: Infrared Remote Sensing and Instrumentation XXV, San Diego, CA.
• Asari, V. K. (2017, August). Directional ringlet intensity feature transform (DRIFT) based object tracking in IR imagery. Presented at the SPIE OP 2017: SPIE Optics and Photonics: Infrared Remote Sensing and Instrumentation XXV, San Diego, CA. 
• Asari, V. K. (2017, July). Deep dive workshop: sensing, processing and automatic decision making for security and surveillance applications. Presented at the Motorola Mobility: Emerging Tech Speaker Series, Chicago, IL. 
• Asari, V. K. (2017, July). Emerging technology overview: sensing, processing and automatic decision making in real time. Presented at the Motorola Mobility: Emerging Tech Speaker Series, Chicago, IL.
• Asari, V. K. & Aspiras, T. (2017, June). Integration of automated object detection and tracking system in full motion flight simulation system. Presented at the Image 2017: The IMAGE Society Conference, Dayton, OH.
• Asari, V. K. & Essa, A. (2017, June). Detecting of tundra lake patterns on permafrost historical maps. Presented at the NAECON 2017: National Aerospace & Electronics Conference, Dayton, OH.
• Asari, V. K. & Ragb, H. (2017, June). Fused shape features based on gradients and local phase in color domain. Presented at the NAECON 2017: National Aerospace & Electronics Conference, Dayton, OH.
• Asari, V. K. & Essa, A. (2017, June). Fusing facial shape and appearance-based features for robust face recognition. Presented at the NAECON 2017: National Aerospace & Electronics Conference, Dayton, OH.
• Asari, V. K. & Essa, A. (2017, June). Sparse representation-based classification performance under different optimization forms for face recognition. Presented at the NAECON 2017: National Aerospace & Electronics Conference, Dayton, OH.
• Asari, V. K. (2017, April). Omnidirectional camera image analysis for law-enforcement and border control applications. Presented at the IEEE HST 2017: 2017 IEEE International Symposium on Technologies for Homeland Security, Waltham, MA.
• Asari, V. K. (2017, April). Tracker fusion for robust object tracking and confidence reporting in wide area motion imagery: DRIFT algorithm for rotation invariant object tracking in wide area motion imagery. Presented at the IEEE HST 2017: 2017 IEEE International Symposium on Technologies for Homeland Security, Waltham, MA.
• Asari, V. K. (2017, April). Technology areas: semi-conductors, rf power conversion, and LADAR. Presented at the AFRL Innovation Discovery Panel, Dayton, OH.
• Asari, V. K. (2017, April). advanced image processing techniques for automatic object detection, tracking and recognition in complex environmental conditions. Kingdom of Bahrain. 
• Asari, V. K. (2017, March). State preserving extreme learning machine: a monotonically increasing learning approach for pattern classification. Presented at the Dayton Area Machine Learning Group Meeting, Dayton, OH.
• Asari, V. K. (2017, March). Learning complex manifold of visual perception for pattern association. Valiamala, Thiruvananthapuram, Kerala, India.
• Asari, V. K. (2017, March). Object detection, tracking and recognition in images captured in complex environmental conditions. Kakkanad, Kochi, Kerala, India.
• Asari, V. K. (2017, March). Wide area surveillance for situational awareness and security automation. Chandigarh, Panjab, India.
• Asari, V. K. (2017, March). Wide area surveillance for situational awareness and security automation. Gurgaon, Haryana, India.
• Asari, V. K. (2017, January). Chromatic domain phase features with gradient and texture for efficient human detection. Presented at the EI 2017: IS&T International Symposium on Electronic Imaging, Burlingame, CA.
• Asari, V. K. (2017, January). Local boosted features for illumination invariant face recognition. Presented at the EI 2017: IS&T International Symposium on Electronic Imaging, Burlingame, CA.
• Asari, V. K. (2017, January). Thermal facial signatures for state assessment during deception. Presented at the EI 2017: IS&T International Symposium on Electronic Imaging, Burlingame, CA. 
• Balster, E. (2017, October). Persistent surveillance processing utilizing FPGAs. Presented at the IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, New York, NY. 
• Balster, E. (2017, January). Persistent surveillance processing utilizing FPGAs. Presented at the IEEE Annual Computing and Communication Workshop and Conference, Las Vegas, NV. 
• Chatterjee, M. R. & Mohamed, A. (2017, September). Slanted electromagnetic wave propagation through atmospheric phase turbulence using altitude-dependent structure parameter. Presented at the IEEE NAECON 2017, Dayton, OH. 
• Chatterjee, M. R. & Bugoffa, S. (2017, September). Negative index in a dispersive chiral material with first-order sideband dispersion under dielectric losses. Presented at the OSA FiO Annual Meeting, Washington, DC.
• Chatterjee, M. R. & Mohamed, A. (2017, April). Anisoplanatic image propagation along a slanted path under lower atmosphere phase turbulence in the presence of encrypted chaos. Presented at the SPIE Defense and Security Conference, Anaheim, CA. 
• Ordóñez, R. E. Cooperative sensing using reconfigurable sensor networks. Presented at the Theoretical Layered Sensing Seminar, WPAFB, Dayton, OH. 
• Ye, F. (2017, November). Authentication and access control for an IoT green roof monitoring system. Presented at the IEEE CyberSciTech, Orlando, FL. 
• Ye, F. (2017, November). A security architecture for networked Internet of Things devices. Presented at the IEEE GLOBECOM, Singapore. 
• Ye, F. (2017, May). An efficient incentive mechanism for cloud-based mobile sensor network. Presented at the 16th Annual IEEE International Conference on Electro Information Technology, Lincoln, NE. 
• Ye, F. (2017, April). SAW-MAN: exploring smart service-aware wireless mixed-area networks. Presented at the 2nd SJTU Future Information Technology International Forum for young Scholars, Shanghai, China.
• Zhan, Q. (2017, July). Three-dimensionally tunable spin within an optical focal spot beyond the diffraction limit. Presented at the AOM 2017, Nanjing, China.
• Zhan, Q. (2017, July). Towards miniaturized detection of photonic orbital angular momentum states. Presented at the APOC 2017, Beijing, China.
• Zhan, Q. (2017, July). Towards miniaturized detection of photonic orbital angular momentum states. Presented at the CLEO-PR and PGC 2017, Singapore.

Workshops

• Asari, V. K. (2017, April). The neuroscience of diversity and inclusion. Presented at the Divergent Collaboration Workshop, Dayton, OH.
• Asari, V. K. (2017, January). Brain machine interface and applications. Presented at the Divergent Collaboration Workshop, Dayton, OH.

Sponsored Research

• Agha, I. & Zhan, Q. (2016 - 2018), Optoelectronic technology research, AFRL/RYDH & RYDP. Air Force Research Laboratory, Federal, $110,000.00.
• Agha, I. & Sarangan, A. M. (2017 - 2020), Collaborative Research: Nanopatterning and temporal control of phase-change materials for reconfigurable photonics. National Science Foundation, Federal, $198,000.00.
• Agha, I., Haus, J. W. & Sarangan, A. M. (2015 - 2018), Nonlinear Optical Signatures of Electronic Quantum Tunneling Effects in Nanoplasmonic Systems. Army Research Office, University of Dayton, $405,000.00.
• Agha, I., Haus, J. W., & Sarangan, A. M. (2015 - 2018), Quantum Tunneling and Plasmonics. Army Research Office, Federal, $405,000.00.
• Asari, V. K. (2017 - 2018), Object tracking via deep learning. Air Force Office of Scientific Research, Federal, $75,000.00.
• Asari, V. K. (2015 - 2018), Feature fusion for object tracking. Air Force Research Laboratories (AFRL/RY), Federal, $340,000.00.
• Asari, V. K. (2017 - 2018), An illumination/contrast invariant multi-feature fusion approach for efficient human detection and self-organized neural network-based scene segmentation and labeling. U.S. Army Night Vision and Electronic Sensors Directorate (through EOIR Technologies, Inc.), Federal, $149,000.00.
• Asari, V. K. (2017 - 2018), Bicycle safety proximity project. Air Force Research Laboratories through University of Dayton Research Institute, Federal, $30,000.00.
• Asari, V. K. (2017), Tracker performance evaluation and object behavior assessment. Air Force Research Laboratories (AFRL/RH) through InfoSciTex, Federal, $200,000.00.
• Asari, V. K. (2015 - 2017), Sensor automation: human-automation interface for tasking and managing feature-based object tracking, event detection, and object re-identification. Air Force Research Laboratories (SBIR Phase II Award with 361 Interactive, Federal, $200,000.00. 
• Asari, V. K. & Sorg, B. (2016 - 2017), Super-resolution analysis of Polari-metric imagery. Air Force Research Laboratories through University of Dayton Research Institute, Federal, $270,000.00.
• Balster, E. (2015 - Present), Army SBIR phase II, “CRAMMIT.” U.S. Army, University of Dayton, $65,000.00.
• Balster, E. (2013 - Present), Academic layered sensing program (ALSP), project 32. AFRL/RYDI, Federal, $1,800,000.00.
• Balster, E. (2013 - Present), Research, development, and evaluation of surveillance imaging (R-DESI). AFRL/RYAA, Federal, $900,000.00.
• Chodavarapu, V. & Subramanyam, G. (2016 - 2019), CloudMEMS: cybermanufacturing of micro-electro-mechanical systems. National Science Foundation, Federal, $249,999.00. 
• Chodavarapu, V. & Subramanyam, G. (2017 - 2019), Development of high-temperature LTCC smart node for FADEC. United States Air Force/Spectral Energies, LLC, Federal, $245,000.00.
• Chodavarapu, V. & Subramanyam, G. (2017 - 2018), Development of die extraction and reassembly process for improved functionality. United States Air Force/Spectral Energies, LLC, Federal, $30,000.00.
• Chodavarapu, V. (2015 - 2018), Start up. University of Dayton, University of Dayton, $120,000.00.
• Chodavarapu, V. & Subramanyam, G. (2016 - 2017), Development of high-temperature LTCC smart node for FADEC. United States Air Force/Spectral Energies, LLC, Federal, $46,000.00. 
• Haus, J. W., Agha, I. & Sarangan, A. M. (2017 - 2018), Fast optical limiters with enhanced dynamic range. AEgis Technology Group LLC, Private, $74,997.00.
• Hirakawa, K. (2016 - Present). Samsung, Other, $60,000.00.
• Hirakawa, K. (2017 - 2018), BRDF capture using Fresnel lens. Japan National Institute of Information and Communications Technology, Other, $36,000.00.
• Hirakawa, K. & Ambrozic, C. (2017 - 2018), Stochastic structure-property relationships of continuous ceramic fiber reinforced ceramics. DAGSI/RX, Federal, $44,130.00.
• Ordóñez, R. E. (2017 - Present), More electric aircraft generator control. AFRL, Federal, $200,000.00.
• Ordóñez, R. E. (2016 - 2017), Novel approaches for integrated controls with thermal management systems (TMS) and power, STTR with smart asset monitoring & management systems. AFRL, Federal, $150,000.00.
• Pinnell, M. F., Blust, R. P., Balster, E., Bigelow, K. E., Crosson, K. M., Schneider, S. J. & Kinnucan-Welsch, K. A. (2010 - Present), EEC-1009607 - Engineering innovation and design for STEM teachers. NSF, Federal, $499,101.00.
• Sarangan, A. M. (2017 - 2020), Antireflection coatings. UES/AFRL, Federal, $53,271.00.
• Sarangan, A. M. (2017 - 2019), Transition metal nitrides for opto-electronic applications and new ferroelectrics and composite multiferroic materials for RF. AFRL/UES, Federal, $98,734.00.
• Sarangan, A. M., Lombardo, D. & Agha, I. (2016 - 2019), An integrated photonics CMOS compatible platform for chemical and biological sensors. Dayton Area Graduate Studies Institute, State, $70,992.00.
• Sarangan, A. M. (2017 - 2018), Design and assessment of wiregrid polarizers for automotive applications. Gentex Corp, Private, $29,240.00.
• Subramanyam, G. & Kumar, J. (2017 - 2020), Extreme temperature LiS batteries. NASA, Federal, $650,000.00.
• Subramanyam, G. & Taha, T. (2017 - 2020), Neuromorphic architectures for online learning. NSF, Federal, $440,000.00.
• Subramanyam, G. & Chodavarapu, V. (2017 - 2019), High temperature LTCC smart node for FADEC (SBIR Phase II). Air Force, Federal, $250,000.00.
• Subramanyam, G. & Kumar, J. (2016 - 2019), Thermal fail-proof li-ion battery operation. Federal Aviation Authority, Federal, $600,000.00.
• Subramanyam, G. & Chodavarapu, V. (2016 - 2019), Cloud MEMS. NSF, Federal, $500,000.00.
• Subramanyam, G. & Kumar, J. (2016 - 2018), High energy/power, long cycle life, thermally safe Li-S battery development. Ohio Federal Research Network, Centers of Excellence, State, $450,000.00.
• Subramanyam, G. & Browning, C. (2013 - 2018), Research collaboration program: oxide thin film based novel RF and EO devices. Air Force/Clarkson Aerospace, Federal, $700,000.00.
• Subramanyam, G. & Chodavarapu, V. (2017 - 2018), Die extraction and reassembly (DER) (SBIR Phase I). Air Force, Federal, $45,000.00.
• Subramanyam, G., & Kumar, J. (2016 - 2018), STTR phase II: ceramic polymer composite electrolyte. Cornerstone Research Group, Federal, $400,000.00.
• Subramanyam, G. (2014 - 2017), High power agile transmitter/receiver modules. AFOSR, Federal, $150,000.00.
• Subramanyam, G. & Kumar, J. (2016 - 2017), Lithium-oxygen battery: a sustainable and environmental friendly way of generating and storing energy. Hanley Sustainability Institute, University of Dayton, $20,000.00.
• Subramanyam, G. & Chodavarapu, V. (2016 - 2017), SBIR phase I with Air Force: development of high-temperature LTCC smart node for FADEC. Spectral Energies, Federal, $45,000.00.
• Taha, T. (2017 - 2018), Autonomy research initiatives. U.S. Air Force, Federal, $605,645.00.
• Taha, T. (2017 - 2018), Neuromorphic processing device assessment research. U.S. Air Force, Federal, $85,000.00.
• Taha, T. (2017), Deep learning course. Center for Cybersecurity, University of Dayton, $8,788.00.
• Taha, T. (2017), Deep learning course enhancement. Keen Foundation, University of Dayton, $7,000.00.
• Taha, T. (2017), Minority Leader’s Program. Clarkson Aerospace, Private, $110,760.00.
• Zhao, C. & Zhan, Q. (2016 - 2017), Harvest solar energy with metasurfaces for a cleaner and sustainable energy future. Hanley Sustainability Institute, University of Dayton, $19,249.76.

Book

• Haus, J. W., & Sarangan, A. M. (2016). Fundamentals and applications of nanophotonics. Amsterdam: Elsevier B.V.
• Sarangan, A. M. (2016). Nanofabrication: Principles to laboratory practice. CRC Press.

Book Chapter

• Sarangan, A. M. (2016). Quantum mechanics and computation in nanophotonics. In J. Haus, (Ed.), Fundamentals and applications of nanophotonics. Woodhead Publishing.

Journal Articles

• Alom, Z., Sidike, P., Taha, T., & Asari, V. K. (2016). State preserving extreme learning machine: A monotonically increasing learning approach. Retrieved from https://link.springer.com/article/10.1007/s11063-016-9552-8
• Annam, K., Khah, S., Dooley, S., Cerny, C., & Subramanyam, G. (2016). Experimental design of bandstop filters based on unconventional defected ground structures. Microwave and Optical Technology Letters, 58(12), 2969-73.
• Asari, V. K., Alam, M., & Sidike, P. (2016). Recent advances in fringe-adjusted joint transform correlation based optical pattern recognition techniques. Asian Journal of Physics: An International Research Journal, 25(4).
• Aspiras, T., & Asari, V. K. (2016). Hierarchical autoassociative polynimial network (HAP Net) for pattern recognition. Neurocomputing, 222, 1-10. Retrieved from www.sciencedirect.com/science/article/pii/S0925231216311298
• Belardini, A., Centini, M., Leahu, G., Hooper, D. C., Li Voti, R., Fazio, E., Haus, J. W., Sarangan, A. M., Valev, V., & Sibilia, C. (2016). Chiral light intrinsically couples to extrinsic/pseudo-chiral metasurfaces made of tilted gold nanowires. Scientific Reports/ Nature, 6, article number: 31796.
• Chodavarapu, V. (2016). Wafer-level vacuum encapsulated breath-mode ring resonator fabricated in a commercial MEMS process. IET Electronics Letters, 52(23), 1941-1942.
• Chodavarapu, V. (2016). Wafer-level vacuum-encapsulated silicon ring resonators for timing and frequency references. SPIE Journal of Micro/Nanolithography, MEMS, and MOEMS, 15(3), 035004.
• Essa, A. & Asari, V. K. (2016). Histogram of oriented directional features for robust face recognition. International Journal of Monitoring and Surveillance Technologies Research, 4(3), 1-8. Retrieved from 10.4018/IJMSTR.2016070103 http://dl.acm.org/citation.cfm?id=3078122&CFID=936841018&CFTOKEN=64756044
• Essa, A., Sidike, P., & Asari, V. K. (2016). Efficient key frame selection approach for object detection in wide area surveillance applications. International Journal of Monitoring and Surveillance Technologies Research, 3(2), 34 - 48. Retrieved from www.igi-global.com/article/efficient-key-frame-selection-approach-for-object-detection-in-wide-area-surveillance-applications/146243
• Evans, T., Tossou, K., Ye, F., Shu, Z., Qian, Y., Yang, Y. & Sharif, H. (2016). A new architecture for application-aware cognitive multihop wireless networks. IEEE Wireless Communications, 23(1), 120–127.
• Islam, M. M., Islam, M. N., & Asari, V. K. (2016). Hybrid edge and feature based single image super-resolution. SPIE/IS&T Journal of Electronic Imaging, 25(4), 1-8. Retrieved from http://spie.org/Publications/Journal/10.1117/1.JEI.25.4.043005
• Jia, J., Ni, C., Sarangan, A. M., & Hirakawa, K. (2016). Guided filter demosaicking for Fourier spectral filter array. Electronic Imaging, 2016(2), 1–5.
• Kebede, T., Ordóñez, R. E. & Marcil, E. (2016). Computationally efficient and robust kinematic calibration methodologies and their application to industrial robots. Robotics And Computer-Integrated Manufacturing, 37, 33-48.
• Kumar, J., Kichambare, P., Rai, A., Bhattacharya, R., Rodrigues, S. & Subramanyam, G.(2016). A high performance ceramic-polymer separator for lithium batteries. Journal of Power Sources, 301(1), 194-198.
• Lee, Y., Hirakawa, K. & Nguyen, T. (2016). Joint defogging and demosaicking. IEEE Transactions on Image Processing, PP(99), 1-1.
• Quach, T., Dupaix, B., Bozada, C., Brown, D., Dooley, S., Gilbert, R., Harry, S., Khalil, W., LaRue, M., Mattamana, A., Patel, V., Rashid, S., Subramanyam, G., & Watson, P. (2016). Frequency agile and power scalable power amplifier for multi-band telemetry applications. ITEA Journal of Test and Evaluation, 37(4), 342-351.
• Ragb, H., & Asari, V. K. (2016). Local phase features in chromatic domain for human detection. International Journal of Monitoring and Surveillance Technologies Research, 4(3), 53-72.
• Ragb, H., & Asari, V. K. (2016). Fused structure and texture (FST) features for improved pedestrian detection. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10(1), 202 - 209. Retrieved from https://docs.google.com/viewerng/viewer?url=http://internationalscienceindex.org/publications/10003679/pdf
• Ragb, H., & Asari, V. K. (2016). Fused structure and texture (FST) features for improved pedestrian detection. International Journal of Computer and Information Engineering, 10(1), 202-209. 
• Sidike, P., Asari, V. K., & Alam, M. (2016). Multiclass object detection with single query in hyperspectral imagery using class-associative spectral fringe-adjusted joint transform correlation. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 54(2), 1196-1208. Received from http://ieeexplore.ieee.org/document/7277042/?tp=&arnumber=7277042&url=http:%2F%2Fieeexplore.ieee.org%2Fstamp%2Fstamp.jsp%3Ftp%3D%26arnumber%3D7277042
• Sidike, P., Krieger, E., Alom, Z., Asari, V. K. & Taha, T. (2016). A fast single image super-resolution via directional edge guided regularized extreme learning regression. Signal, Image and Video Processing, 1-8. Retrieved from https://link.springer.com/article/10.1007/s11760-016-1045-8
• Stafford, J. W., Duncan, B. D., & Rabb, D. J. (2016, June). Phase gradient algorithm method for 3D holographic Ladar imaging. Applied Optics, 55(17), 4611-4620.
• Wang, S., Wang, W., Yakopcic, C., Shin, E., Subramanyam, G., & Taha, T. (2016). Experimental study of LiNbO<inf>3</inf>memristors for use in neuromorphic computing. Microelectronic Engineering, 168(1), 37-40.
• Wang, S., Wang, W., Yakopcic, C., Shin, E., Subramanyam, G., & Taha, T. (2016). Reconfigurable neuromorphic crossbars based on titanium oxide memristors. Electronic Letters, 52(20), 1673-75.
• Ye, F., Qian, Y., & Hu, R. Q. (2016). A real-time information based demand-side management system in smart grid. IEEE Transactions on Parallel and Distributed Systems, 27(2), 329–339.
• Ye, F., Qian, Y., & Hu, R. Q. (2016). Identity-based schemes for a secured big data and cloud ICT framework in smart grid system. Security and Communication Networks. Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/sec.1695/full
• Yue, H., Subramanyam, G., & Cerny, C. (2016). A novel capacitive loaded structure for miniaturized resonators. Microwave and Optical Technology Letters, 58(11), 2554-57.
• Zhan, Q., Gu, B., Bo, W., Rui, G., Xue, Y., & Cui, Y. (2016). Varying polarization and spin angular momentum flux of radially polarized beams by anisotropic Kerr media. Optics Letters, 41(7), 1566-1569.
• Zhan, Q., Gu, B., Wen, B., Rui, G., Xue, Y., He, J., & Cui, Y. (2016). Nonlinear polarization evolution of hybridly polarized vector beams through isotropic Kerr nonlinearities. Optics Express, 24(22), 25867-25875.
• Zhan, Q., Liu, D., Gu, B., Ren, B., Lu, C., He, J., & Cui, Y. (2016). Enhanced sensitivity of the z-scan technique on saturable absorbers using radially polarized beams. Journal of Applied Physics, 119, 073103.
• Zhan, Q., Rui, G., Chen, J., Wang, X., Gu, B., & Cui, Y. (2016). Synthesis of focused beam with controllable arbitrary homogeneous polarization using engineered vectorial optical fields. Optics Express, 24(21), 23667-23676.
• Zhan, Q., Rui, G., Gu, B., & Cui, Y. (2016). Detection of orbital angular momentum using a photonic integrated circuit. Scientific Reports, 6, 28262.
• Zhan, Q., Rui, G., Ma, Y., Gu, B., & Cui, Y. (2016). Multi-channel orbital angular momentum detection with metahologram. Optics Letters, 41(18), 4379-4382.
• Zhan, Q., Wan, C., Chen, J., & Tang, X. (2016). Experimental demonstration of a highly efficient fan-out polarization grating. Scientific Reports, 6, 39626.
• Zhan, Q., & Wang, S. (2016). Reflection type metasurface designed for high efficiency vectorial field generation. Scientific Reports, 6, 29626.
• Zhan, Q., Xu, D., Gu, B., Rui, G., & Cui, Y. (2016). Generation of arbitrary vector fields based on a pair of orthogonal elliptically polarized base vectors. Optics Express, 24, 4177.
• Zhan, Q., Yan, K., Lin, J., Zhou, Y., Guo, C., Xu, L., Wang, A., & Yao, P. (2016). Bi2Te3 based passively Q-switched fiber laser with cylindrical vector beam emission. Applied Optics, 55(11), 3026-3029.
• Zhan, Q. & Yang, Z. (2016). Single-shot smartphone-based quantitative phase imaging using a distorted grating. Plus One, 11(7), e0159596.
• Zhan, Q., Zhang, X., Chung, C.-J., Wang, S., Subramanyam, H., Pan, Z., & Chen, R. T. (2016). Integrated broadband bowtie antenna on transparent silica substrate. Ieee Antennas And Wireless Propagation Letters/Ieee, 15,1377-1381.
• Zhan, Q., Zhang, X., Wang, A., Chen, R., Zhou, Y., & Ming, H. (2016). Generation and conversion of higher order optical vortices in optical fiber with helical fiber Bragg gratings. J. Lightwave Technol./IEEE and OSA, 34(10), 2413-2418.
• Zhan, Q., Zhou, S., Wang, S., Chen, J., & Rui, G. (2016). Creation of radially polarized optical fields with multiple controllable parameters using a vectorial optical field generator. Photonics Research/Chinese Laser Press & OSA, 4(5), B35-B39.
• Zhan, Q., Zhou, Y., Lin, J., Zhang, X., Xu, L., Gu, C., Sun, B., & Wang, A. (2016). Self-starting passively mode-locked all fiber laser based on carbon nanotubes with radially polarized emission. Photonics Research/Chinese Laser Press & OSA, 4(6), 327-330.
• Zhan, Q., Zhou, Y., Wang, A., Gu, C., Sun, B., Xu, L., Li, F., & Chung, D. (2016). Actively mode-locked all fiber laser with cylindrical vector beam output. Optics Letters, 41(3), 548.
• Zhang, X., Ye, F., Fan, S., Guo, J., Xu, G., & Qian, Y. (2016). An adaptive security protocol for a wireless sensor-based monitoring network in smart grid transmission lines. Security and Communication Networks, 9(1), 60-71.
• Zhang, Y., & Hirakawa, K. (2016). Blind deblurring and denoising of images corrupted by unidirectional object motion blur and sensor noise. IEEE Transactions on Image Processing, 25(9), 4129-4144.
• Zhang, Y., & Hirakawa, K. (2016). Combining inertial measurements with blind image deblurring using distance transform. IEEE Transactions on Computational Imaging, 2(3), 281-293.
• Zumberge, J., Boyd, M., & Ordóñez, R. E. (2016). Validation of a DC-DC boost circuit control algorithm. SAE Int. J. Aerospace, 9(1).

Paper Published in Conference Proceedings

• Abdesalam, M., & Ordóñez, R. E. (2016). Non-uniform 1D antenna array optimal configuration via extremum seeking control. Buenos Aires: IEEE MSC.
• Abdesalam, M., & Ordóñez, R. E. (2016). Systematic comparison of the sensitivity of perturbation-based extremum seeking control versus numerical optimization-based extremum seeking control using particle swarm optimization to changes in initial conditions. Dayton: IEEE NAECON-OIS.
• Almahdi, R., & Hardie, R. C. (2016, July). Recursive non-local means filter for video denoising with Poisson-Gaussian noise. Paper presented at the IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH.
• Alsuwian, T., & Ordóñez, R. E. (2016). Comparative analysis of MIMO adaptive torque control for 7-DOF redundant robotic arm. Buenos Aires: IEEE MSC.
• Alsuwian, T., & Ordóñez, R. E. (2016). Comparison of PID and nonlinear feedback linearization controls for longitudinal dynamics of hypersonic vehicle at subsonic speeds. Dayton: IEEE NAECON-OIS.
• Buzbee, M., Lombardo, D., Zhan, Q., Sarangan, A. M., & Agha, I. (2016). Silicon nitride on-silicon 3-dimensional photonic circuits for integrated photodetection. Washington, DC: Optical Society of America, Advanced Photonics 2016.
• Chatterjee, M. R., & Algadey, T. (2016). Negative index in chiral metamaterials under conductive loss and first-order material dispersion using Lorentzian, Condon And Drude Models. (pp. 2). Washington, D.C.: OSA Frontiers in Optics Technical Digest.Retrieved from www.osapublishing.org/abstract.cfm?uri=LS-2016-JW4A.70
• Chatterjee, M. R., & Almehmadi, F. A. (2016). Examination of the nonlinear dynamics and possible chaos encryption in a zeroth-order acousto-optic Bragg modulator with feedback. (pp. 2). Washington, D.C.: OSA Frontiers in Optics Technical Digest. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2016-FF3H.6
• Chatterjee, M. R., & Bugoffa, S. (2016). Large-area object search and recovery using sector-based aerial acousto-optic scanning and reflection sensing. (pp. 98421C-1-12 (May 2016). Bellingham, WA: Proc. SPIE. Retrieved from http://spie.org/Publications/Proceedings/Paper/10.1117/12.2229024
• Chatterjee, M. R., & Chaparala, S. (2016). Nonlinear dynamics, bifurcation maps, signal encryption and decryption using acousto-optic chaos under a variable aperture illumination. (pp. 2). Washington, D.C.: OSA Frontiers in Optics Technical Digest. Retrieved from www.osapublishing.org/abstract.cfm?uri=LS-2016-JW4A.73
• Chatterjee, M. R., & Mohamed, A. (2016). Anisoplanatic electromagnetic image propagation through narrow or extended phase turbulence using altitude-dependent structure parameter. (pp. 2). Washington, D.C.: OSA Frontiers in Optics Technical Digest. Retrieved from www.osapublishing.org/abstract.cfm?uri=FiO-2016-JW4A.90
• Chatterjee, M. R., & Mohamed, F. H.A. (2016). Diffractive propagation and recovery of modulated (including chaotic) electromagnetic waves through uniform atmosphere and modified von Karman phase turbulence. (pp. 98330F-1-16 (May 2016). Bellingham, WA: Proc. SPIE. Retrieved from http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2523944
• Djaneye-Boundjou, O., & Ordóñez, R. E. (2016). Discrete-time indirect adaptive control of a class of single state systems using concurrent learning for parameter adaptation. Buenos Aires: IEEE MSC.
• Djaneye-Boundjou, O., Xu, X., & Ordóñez, R. E. (2016). Automated tuning of PID controller for control of robotic arm via particle swarm optimization. Dayton: IEEE NAECON-OIS.
• Duran, J. M. & Sarangan, A. M. (2016). Infrared absorption in MacEtch fabricated silicon quantum walls. IEEE: IEEE Photonics Conference (IPC).
• Essa, A. & Asari, V. K. (2016). Local edge/corner feature integration for illumination invariant face recognition. (pp. 13-18). Barcelona: The First International Conference on Applications and Systems of Visual Paradigms. Retrieved from www.thinkmind.org/index.php?view=article&articleid=visual_2016_1_30_95014
• Essa, A., Sidike, P. & Asari, V. K. (2016). Real time automatic machinery threat detection and identification system for protection of pipeline infrastructure. San Francisco: IS&T International Conference on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World 2016.
• French, J. C., & Balster, E. (2016). A 64-bit quadratic approximation of an orthorectification algorithm. Dayton, Ohio: IEEE National Aerospace and Electronics Conference.
• Hytla, P. C., Balster, E., Vasquez, J. R., & Neuroth, R. M. (2016). Multi-ratio fusion change detection. Dayton, OH: IEEE National Aerospace and Electronics Conference.
• Krieger, E., Sidike, P., Essa, A., & Asari, V. K. (2016). Boosted ringlet features for robust object tracking. In Cui, (Ed.). Washington DC: IEEE Applied Imagery Pattern Recognition Workshop: Imaging and Artificial Intelligence: Intersection and Synergy.
• Kumar, R., Subramanyam, G., & Chodavarapu, V. (2016). Energy harvesting flexible regenerative power source for wearable devices. Dayton, OH: IEEE National Aerospace and Electronics Conference.
• LeMaster, D. A., Hardie, R. C., Gladysz, S., Howard, M. D., Rucci, M. A., Trippel, M. E., Power, J. D., & Karch, B. K. (2016, May). Differential tilt variance effects of turbulence in imagery: Comparing simulation with theory. Proc. SPIE. 9846, Long-Range Imaging, 984606. doi: 10.1117/12.2223470
• Lombardo, D., Shah, P., Guo, P., & Sarangan, A. M. (2016). Deep-UV interference lithography combined with masked contact lithography for pixel wiregrid patterns. SPIE: Advanced Lithography Conference.
• Narayanan, B. N., Hardie, R. C., & Kebede, T. M. (2016, October). Feature selection using linear classifier for computer aided detection of pulmonary nodules in CT. Paper presented at the International Conference on Medical Imaging and Diagnosis, Medical Imaging 2016, Chicago, IL. (Young Research Forum Award).
• Narayanan, B. N., Hardie, R. C., & Kebede, T. M. (2016, July). Analysis of various classification techniques for computer aided detection system of pulmonary nodules in CT. Paper presented at the IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH.
• Ni, C., Jia, J., Sarangan, A. M., & Hirakawa, K. (2016). Design and fabrication of Fourier spectral filter array for multispectral imaging. SPIE Optics and Photonics Conference.
• Ragb, H., & Asari, V. K. (2016). Histograms of oriented phase and gradient (HOPG) descriptor for improved pedestrian detection. San Francisco: IS&T International Conference on Electronic Imaging: Video Surveillance and Transportation Imaging Applications 2016.
• Ragb, H., & Asari, V. K. (2016). A new fused structure and texture (FST) features for improved pedestrian detection. Zurich: International Conference on Computer Vision, Imaging and Computer Graphics - ICCVICG 2016. Retrieved from www.waset.org/abstracts?q=A+new+fused+structure+and+texture+%28FST%29+features+for+improved+pedestrian+detection&search=Search
• Sarangan, A. M. (2016). Effective chiral behavior on self-assembled tilted gold nanowires metasurface by means of linear and nonlinear optical techniques. SPIE Nonlinear Optics and its Applications IV.
• Sharma, M. K., & Ordóñez, R. E. (2016). Design and fabrication of an intention based upper-limb exo-skeleton. Buenos Aires: IEEE MSC.
• Sharma, M. K., & Ordóñez, R. E. (2016). Modeling and fabrication of an intention based upper-limb exo-skeleton. Dayton: IEEE NAECON-OIS.
• Sidike, P., Alom, Z., Asari, V. K., & Taha, T. (2016). Non-regularized state preserving extreme learning machine for natural scene classification. Roorkee: International Conference on Computer Vision and Image Processing. Retrieved from www.cvip2016.org/
• Xu, X., & Ordóñez, R. E. (2016). Multi-input multi-output adaptive torque control of 9-DOF hyper-redundant robotic arm. Gyeongju, Korea: 2016 16th International Conference on Control, Automation and Systems.
• Xu, X., & Ordóñez, R. E. (2016). Multi-input multi-output adaptive torque control of 9-DOF hyper-redundant robotic arm. Dayton: IEEE NAECON-OIS.
• Y. X., C. N., & Sarangan, A. M. (2016). Silicon nanowire photodetectors made by metal-assisted chemical etching. SPIE Optics and Photonics Conference.
• Zhao, Y., Lombardo, D., & Agha, I. (2016). Low switching power low-noise wavelength conversion in silicon-on-insulator waveguides. In Y., (Ed.). Washington, DC: Optical Society of America, Advanced Photonics 2016.
• Zumberge, J., & Ordóñez, R. E. (2016). Validation of a DC-DC boost circuit control algorithm. SAE Power Systems Conference.

Patents and Patent Disclosures

• Subramanyam, G. Resonant sensor capable of wireless interrogation. (US 7,922,975 B2 ed.). USPTO.

Invited Lecture

• Asari, V. K. (2016, March). Automated surveillance system for oil/gas pipeline infrastructure protection. Presented at the IEEE/ACM 11th Annual Information Technology Professional Conference, Ewing Township, New Jersey, USA.
• Asari, V. K. (2016, March). Automatic object detection and recognition in complex environmental conditions. Presented at the Golden Jubilee Lecture Series, Trivandrum, Kerala, India.
• Chatterjee, M. R., & Mohamed, F. (2016, December). Transmission of modulated chaos waves through modified von Karman phase turbulence: A numerical examination. Presented at the OSA International Conference on Fibre Optics and Photonics, Kanpur, India.
• Sarangan, A. M. (2016, April). Quantum confined nanowires in silicon – fabrication and their optical properties. Albuquerque.
• Subramanyam, G. (2016, June). Multifunctional oxide thin films for electronics, photonics and sensors. Presented at the Distinguished Lecture Series, Cleveland, OH.
• Subramanyam, G. (2016, January). Industry-university partnerships at the University of Dayton. Presented at the International Conference on transformations in Engineering Education, Pune,

Presentation

• Asari, V. K.(2016, February). Handling illumination variation: A challenge for face recognition. Presented at the International Conference on Computer Vision and Imaging Processing, Roorkee, India.
• Asari, V. K. (2016, February). Non-regularized state preserving extreme learning machine for natural scene classification. Presented at the International Conference on Computer Vision and Imaging Processing, Roorkee, India.
• Asari, V. K. (2016, February). Histograms of oriented phase and gradient (HOPG) descriptor for improved pedestrian detection. Presented at the IS&T/SPIE International Conference on Electronic Imaging, San Francisco, California, USA.
• Asari, V. K. (2016, February). Real time automatic machinery threat detection and identification system for protection of pipeline infrastructure. Presented at the IS&T/SPIE International Conference on Electronic Imaging, San Francisco, California, USA.
• Asari, V. K. (2016, January). Fused structure and texture (FST) features for improved pedestrian detection. Presented at the International Conference on Computer Vision, Imaging and Computer Graphics, Zurich, Switzerland.
• Chatterjee, M. R. (2016, December). Presented at the OSA International Conference on Fiber Optics and Photonics, Kanpur, India.
• Chatterjee, M. R., & Mohamed, A. (2016, October). Anisoplanatic electromagnetic image propagation through narrow or extended phase turbulence using altitude-dependent structure parameter. Presented at the OSA Annual Meeting FiO, Rochester, NY.
• Chatterjee, M. R., & Almehmadi, F. (2016, October). Examination of the nonlinear dynamics and possible chaos encryption in a zeroth-order acousto-optic Bragg modulator with feedback. Presented at the OSA Annual Meeting FiO, Rochester, NY.
• Chatterjee, M. R., & Algadey, T. (2016, October). Negative index in chiral metamaterials under conductive loss and first-order material dispersion using Lorentzian, Condon and Drude Models. Presented at the OSA Annual Meeting FiO, Rochester, NY.
• Chatterjee, M. R. & Chaparala, S. (2016, October). Nonlinear dynamics, bifurcation maps, signal encryption and decryption using acousto-optic chaos under a variable aperture illumination. Presented at the OSA Annual Meeting FiO, Rochester, NY.
• Chatterjee, M. R. & Mohamed, F. (2016, May). Diffractive propagation and recovery of modulated (including chaotic) electromagnetic waves through uniform atmosphere and modified von Karman phase turbulence. Presented at the SPIE Defense and Security Conference, Baltimore, MD.
• Chatterjee, M. R., & Bugoffa, S. (2016, May). Large-area object search and recovery using sector-based aerial acousto-optic scanning and reflection sensing. Presented at the SPIE Defense and Security Conference, Baltimore, MD.

Workshop

• Subramanyam, G. (2016, January). Industry-University Partnerships. Presented at the International Conference on transformations in Engineering Education, Pune, India.

Grants

• Asari, V. K. (2014 - 2016), Manifold-based exploitation for recognition and tracking (academic layered sensing project, project #39). AFRL (through UDRI), Federal, $80,000.00.
• Balster, E. (2015 - Present), Army SBIR phase II, "CRAMMIT". U.S. Army, University of Dayton, $65,000.00.
• Balster, E. (2013 - Present), Academic layered sensing program (ALSP), project 32. AFRL/RYDI, Federal, $1,800,000.00.
• Balster, E. (2013 - Present), Research, development, and evaluation of surveillance imaging (R-DESI). AFRL/RYAA, Federal, $900,000.00.
• Balster, E. (2012 - Present), Academic layered sensing program (ALSP), project 22. AFRL/RYDI, Federal, $621,988.00.
• Pinnell, M. F., Blust, R. P., Balster, E., Bigelow, K. E., Crosson, K. M., Schneider, S. J. & Kinnucan-Welsch, K. A. (2010 - Present), EEC-1009607 - Engineering innovation and design for STEM teachers. NSF, Federal, $499,101.00.
• Chodavarapu, V., & Subramanyam, G. (2016 - 2019), CloudMEMS: cybermanufacturing of micro-electro-mechanical systems. National Science Foundation, Federal, $249,999.00.
• Chodavarapu, V. (2015 - 2017), Start up. University of Dayton, University of Dayton, $120,000.00.
• Chodavarapu, V. & Subramanyam, G. (2016 - 2017), Development of high-temperature LTCC smart node for FADEC. U.S. Air Force/Spectral Energies, Federal, $46,000.00.
• Duncan, B. D. (2008 - Present), Sub-aperture based EO imaging systems. RNET, Inc., Local, $50,000.00.
• Hardie, R. C. (May 2016 - December 2016), Atmospheric turbulence simulation and mitigation. AFRL, Federal, $50,000.00.
• Hardie, R. C. (January 2015 – May 2016), Long range image restoration. L-3, Private, $120,000.00.
• Hardie, R. C. (2016), Image restoration for long stand-off range imaging applications (follow on). L-3 CE, Private, $50,000.00.
• Hirakawa, K. (2016 - Present). Samsung (Gift), Other, $60,000.00.
• Hirakawa, K. (2015 - 2016). AFRL, Federal, $30,000.00.
• Hirakawa, K., & Sarangan, A. M. (2013 - 2016). CCSS: Spectral filter array for multispectral imaging. NSF, Federal, $319,952.00.
• Hirakawa, K. (2014 - 2017). CIF: Small: Integrating imaging detectors. NSF, Federal, $297,101.00.
• Ordóñez, R. E. (2016 - 2017), Novel approaches for integrated controls with thermal management systems (TMS) and power, STTR with smart asset monitoring & management systems. AFRL, Federal, $150,000.00.
• Ordóñez, R. E. (2016), Control of air surfaces in a water tank. AFRL, Federal, $30,000.00.
• Sarangan, A. M., Lombardo, D., & Agha, I. (2016 - 2019), An integrated photonics CMOS compatible platform for chemical and biological sensors. Dayton Area Graduate Studies Institute, State, $70,992.00.
• Agha, I., Haus, J. W., & Sarangan, A. M. (2015 - 2018), Quantum tunneling and plasmonics. Army Research Office, Federal, $405,000.00.
• Sarangan, A. M. (2015 - 2016), Anti-reflection coating. UES, Private, $18,000.00.
• Sarangan, A. M. (2014 - 2016), interferometric lithography and substrate patterning/epitaxy for nonlinear quasi-phase-matched device development. Air Force Research Laboratory, Federal, $368,505.00.
• Subramanyam, G., & Kumar, J. (2016 - 2019), Thermal fail-proof Li-Ion battery operation. Federal Aviation Authority, Federal, $600,000.00.
• Subramanyam, G., & Chodhavarapu, V. (2016 - 2019), Cloud MEMS. NSF, Federal, $500,000.00.
• Subramanyam, G., & Browning, C. (2013 - 2018), Research collaboration program: Oxide thin film based novel RF and EO devices. Air Force/Clarkson Aerospace, Federal, $700,000.00.
• Subramanyam, G., & Kumar, J. (2016 - 2018), High energy/power, long cycle life, thermally safe Li-S battery development. Ohio Federal Research Network, Centers of Excellence, State, $450,000.00.
• Subramanyam, G., Kumar, J. (2016 - 2018), STTR Phase II: Ceramic polymer composite electrolyte. Cornerstone Research Group, Federal, $400,000.00.
• Subramanyam, G. (2014 - 2017), High power agile transmitter/receiver modules. AFOSR, Federal, $150,000.00.
• Subramanyam, G. & Kumar, J. (2016 - 2017), Lithium-oxygen battery: A sustainable and environmental friendly way of generating and storing energy. Hanley Sustainability Institute, University of Dayton, $20,000.00.
• Subramanyam, G., & Chodhavarapu, V. (2016 - 2017), SBIR Phase I with Air Force: Development of high-temperature LTCC smart node for FADEC. Spectral Energies, Federal, $45,000.00.
• Subramanyam, G. (2015 - 2016), Self aware frequency agile limiter. Air Force SBIR Program through Berriehill Research Corp., Federal, $45,000.00.
• Agha, I., & Zhan, Q. (2016 - 2018), Optoelectronic technology research, AFRL/RYDH & RYDP. Air Force Research Laboratory, Federal, $110,000.00.
• Zhao, C., & Zhan, Q. (2016 - 2017), Harvest solar energy with metasurfaces for a cleaner and sustainable energy future. Hanley Sustainability Institute, University of Dayton, $19,249.76.