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.2018.8556669 and 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.