Cai, J., Gunasekaran, S., & Ol, M. (2022). Effect of Partial Ground and Partial Ceiling on Propeller Performance. Journal of Aircraft, 1-14. https://doi.org/10.2514/1.C036974
Gunasekaran, S., Peyton, M., & Novotny, N. (2022). Aerodynamic Interactions of Wind Lenses at Close Proximities. Energies, 15 (13), 4622. https://doi.org/10.3390/en15134622
Gunasekaran, S., & Altman, A. (2021). Far Wake and Its Relation to Aerodynamic Efficiency. Energies, 14 (12), 3641. https://doi.org/10.3390/en14123641
Loughnane, F., Mongin, M., & Gunasekaran, S. (2021). Effect of Airfoil-Preserved Undulation Placement on Wing Performance and Wingtip Vortex, AIAA Journal,https://doi.org/10.2514/1.J059517
Cai, J., Gunasekaran, S., Ol, M., & Ahmed, A. (2020). Propeller Ground and Ceiling Effect Parametric Data. Journal of Aircraft, 1-4. https://doi.org/10.2514/1.C035839
Gunasekaran, S., & Ross, G. (2019). Effect of piezo-embedded inverted flag in free shear layer wake. Aerospace, 6(3), 33. https://doi.org/10.3390/aerospace6030033
Gunasekaran, S., & Gerham, T. (2018). Effect of chordwise slots on aerodynamic efficiency and wingtip vortex. AIAA Journal,56(12), 4752-4767. https://doi.org/10.2514/1.J057073
Peer-Reviewed Conference Articles
Ivarson, J., Maneck, L., Narayanan, B., & Gunasekaran, S. (2022). Deep Learning Algorithm for Atomization Characterization using Shadowgraph Images. AIAA SCITECH 2022 Forum, 0188. https://doi.org/10.2514/6.2022-0188
Donovan, M., Rumpfkeil, M., Gunasekaran, S., & Marks, C. (2022). Analysis of High-lift Low Pressure Turbine Endwall Vortices Using Modal Decomposition Methods. AIAA SCITECH 2022 Forum, 0477. https://doi.org/10.2514/6.2022-0477
Cai, J., Gunasekaran, S., & Ol, M. (2022). Sinusoidal Gust Response of RC Propellers at Different Incidence Angles. AIAA SCITECH 2022 Forum, 1536. https://doi.org/10.2514/6.2022-1536
Peyton, M., & Gunasekaran, S. (2022). Investigation into Wake Interactions of Wind Lenses at Close Proximities. AIAA SCITECH 2022 Forum, 1789. https://doi.org/10.2514/6.2022-1789
Culpepper, G., Cai, J., & Gunasekaran, S. (2022). Effect of Forward Propeller Tilt and Inlet Shape in Propeller-in-Wing Thrust Vectoring. AIAA SCITECH 2022 Forum, 1539. https://doi.org/10.2514/6.2022-1539
Hung, L., Cai, J., Novotny, N. & Gunasekaran, S. (2022). Development of a Multi-Purpose Flap and Spoiler Mechanism for High Endurance Unmanned Aerial Vehicles. AIAA SCITECH 2022 Forum, 1027. https://doi.org/10.2514/6.2022-1027
Insana, E, & Gunasekaran, S. (2022). Low Reynolds Number Experimental Aerodynamic Verification of Scaled and LEWICE Simulated Ice Accretions in SLD Conditions. AIAA SCITECH 2022 Forum, 2025. https://doi.org/10.2514/6.2022-2025
Mongin, M., Gunasekaran, S., Medina, A., Ordonez, R. & Killian, A. (2022). High Amplitude Lift Tracking Using Closed-Loop Feedback and Control. AIAA SCITECH 2022 Forum, 0046. https://doi.org/10.2514/6.2022-0046
Cai, J., & Gunasekaran, S. (2022). Propeller Ground and Ceiling Effect in Forward Flight.Vertical Flight Society, Forum 78, Dallas, TX, USA, SKU # 78-2022-0072-Cai
Mongin, M., & Gunasekaran, S. (2021). Lift Regulation Using Closed-Loop Feedback and Control. AIAA Scitech 2021 Forum, 2000. https://doi.org/10.2514/6.2021-2000
Culpepper, G., Cai, J., & Gunasekaran, S. (2021). Propeller and Propeller-in-Wing Thrust Vectoring. AIAA Scitech 2021 Forum, 0615. https://doi.org/10.2514/6.2021-0615
Barnhart, S., Narayanan, B., & Gunasekaran, S. (2021). Blown Wing Aerodynamic Coefficient Predictions Using Traditional Machine Learning and Data Science Approaches. AIAA Scitech 2021 Forum, 0616. https://doi.org/10.2514/6.2021-0616
Gunasekaran, S., & Sharp, R. (2021). Airfoil Near Wake Turbulent Properties at Maximum Aerodynamic Efficiency Condition. AIAA Scitech 2021 Forum, 1848. https://doi.org/10.2514/6.2021-1848
Loughnane, F., Mongin, M. & Gunasekaran, S. (2021). Effect of Airfoil-Preserved Undulations on Free Shear Layer. AIAA Scitech 2021 Forum, 0847. https://doi.org/10.2514/6.2021-0847
Narayanan, B., Ivarson, J., Maneck, L., Gunasekaran, S. (2021).Deep Learning Algorithm for Atomization Characterization using Shadowgraph Images, 2021 IEEE National Aerospace and Electronics Conference (NAECON), Dayton, OH, USA. https://doi.org/10.1109/NAECON49338.2021.9696443
Loughnane, F., Supina, R., Mongin, M., & Gunasekaran, S. (2020). Effect of Airfoil-Preserved Undulations on Wing Performance. AIAA Scitech 2020 Forum, 1784. https://doi.org/10.2514/6.2020-1784
Cook, T., Gunasekaran, S., Ol, M., & Mongin, M. (2020). Frequency Response of a Shuttered Open Jet Wind Tunnel. AIAA Scitech 2020 Forum, 1760. https://doi.org/10.2514/6.2020-1760
Novotny, N., & Gunasekaran, S. (2020). Performance and Proximity Investigations on Small Scale Lensed Turbines. AIAA Scitech 2020 Forum, 1242. https://doi.org/10.2514/6.2020-1242
Barnhart, S., &Gunasekaran, S. (2020). Investigation of Doppler Lidar for Velocity Measurements in Wind Tunnels. AIAA Scitech 2020 Forum, 1021. https://doi.org/10.2514/6.2020-1021
Gazella, M., Hill, J., Chriss, S., Abel, A., & Gunasekaran, S. (2020). Design and Analysis of an Additive Manufactured Supersonic Wind Tunnel. AIAA Scitech 2020 Forum, 1354. https://doi.org/10.2514/6.2020-1354
Deslich, J., Gunasekaran, S., Flick, P., & Szczublewski, D. (2020). Effects of spanloading and slew angle on an Oblique Flying Wing. AIAA Scitech 2020 Forum, 0532. https://doi.org/10.2514/6.2020-0532
Cai, J., Gunasekaran, S., Ahmed A., & Ol, M. (2020). Propeller Partial Ground Effect. AIAA Scitech 2020 Forum, 1028. https://doi.org/10.2514/6.2020-1028
Gunasekaran, S., Ross, G. V., & Curry, D. (2019). Effect of flexible inverted PVDF in free shear layer wake. In AIAA Scitech 2019 Forum, 1338. https://doi.org/10.2514/6.2019-1338
Goodman, S., Gunasekaran, S., Altman, A., & Medina, A. (2019). On the near wake turbulent flow properties of the SD7003 airfoil. In AIAA Scitech 2019 Forum, 0073. https://doi.org/10.2514/6.2019-0073
Palmer, A. E., & Gunasekaran, S. (2019). Effect of curved boundary layer fences on aerodynamic efficiency. In AIAA Scitech 2019 Forum, 1614. https://doi.org/10.2514/6.2019-1614
Cai, J, Gunasekaran, S., Ahmed, A., & Ol, M. V. (2019). Changes in propeller performance due to ground proximity. In AIAA Scitech 2019 Forum, 1097. https://doi.org/10.2514/6.2019-1097
Gunasekaran, S., & Gerham, T. (2018). Effect of chordwise slots on aerodynamic efficiency. 2018 AIAA Aerospace Sciences Meeting, AIAA 2018-0342. https://doi.org/10.2514/6.2018-0342
Gunasekaran, S., & Curry, D. (2018). Effect of segmented trailing edge extensions on aerodynamic efficiency. 2018 AIAA Aerospace Sciences Meeting, AIAA 2018-0343. https://doi.org/10.2514/6.2018-0343
Gunasekaran, S. (2018). Integrated teaching model: A follow up with fundamental aerodynamics. ASEE Annual Conference and Exposition. https://peer.asee.org/30677
Gunasekaran, S., & Altman, A. (2017). Better insight into the wingtip vortex-free shear layer interaction. 55th AIAA Aerospace Sciences Meeting, AIAA 2017-1705. https://doi.org/10.2514/6.2017-1705
Gunasekaran, S. (2017). Integrated teaching model in graduate aerospace classes: A trial with compressible flow aerodynamics. ASEE Annual Conference and Exposition. https://doi.org/10.18260/1-2--28546
Gunasekaran, S., & Altman, A. (2017). Insight into wingtip vortex-wing free shear layer interaction.10th International Symposium on Turbulence and Shear Flow Phenomenon (TSFP10).
Gunasekaran, S., & Altman, A. (2016). Is there a relationship between the wingtip vortex and the shear layer? 54th AIAA Aerospace Sciences Meeting, AIAA 2016-1068. https://doi.org/10.2514/6.2016-1068
Gunasekaran, S., Altman, A., & Granlund, K. O. (2015). Trends in early vortex formation on a wall-to-wall plate in pure plunge. 53rd AIAA Aerospace Sciences Meeting, AIAA 2015-1753. https://doi.org/10.2514/6.2015-1753
Gunasekaran, S., Altman, A., & Ol, M.V. (2015). Errors in off-axis loading of off-the-shelf 6-component force transducers: A cautionary tale. 53rd AIAA Aerospace Sciences Meeting, AIAA 2015-1562. https://doi.org/10.2514/6.2015-1562
Gunasekaran, S., Berkemeier†, G., & Pinnell, M. (2015). Design of a new lab on three-point bend test on fiberglass composite. ASEE North Central Section Conference.
Altman, A., & Gunasekaran, S. (2014). Wing performance insight from the self-preserved turbulent wake. 52nd Aerospace Sciences Meeting, AIAA 2014-0247. https://doi.org/10.2514/6.2014-0247
Lego, Z., Altman, A., & Gunasekaran, S. (2012). Experimental and computational analysis of high angle of attack perching maneuvers. 30th AIAA Applied Aerodynamics Conference, AIAA 2012-2666. https://doi.org/10.2514/6.2012-2666
Altman, A., & Gunasekaran, S. (2012). Identification of aircraft by their unique turbulent wake signature: Progress with experimental validation. In 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, AIAA 2012-1120. https://doi.org/10.2514/6.2013-1120
Selected Research and Work
Design, Build, Test (Learning by Design) in Introduction to Flight: Updyke, K. (2021, June). When passion takes flight. Dayton Engineer Blog. Retrieved from https://bit.ly/WhenPassionTakesFlight
Problem- and Project-Based Learning in Aircraft Design using Flight Simulator: Merlin Flight Simulator Lab, Curriculum. Retrieved from https://bit.ly/MerlinFlightSimulator and Curran, A. (2019, July). A look inside the LTC studio with Dr. Sidaard Gunasekaran.Listen Notes.Retrieved from https://bit.ly/TeachinginLTCStudio
Measuring mindset using portfolios: Gunasekaran, S. (2019, March 14). How do you measure a mindset? KEEN Network, YouTube. Retrieved from https://bit.ly/MeasuringMindset
Integration of Entrepreneurial Minded Learning (EML): Our competitive edge. (2018).Donor Impact. Retrieved from https://bit.ly/EMLatUD
IDA Pedagogy in MEE 225 Intro to Flight Featured in Aerospace America: AFIT Student Branch Hosts Distinguished Lecturer. (2017, December). Aerospace America Bulletin. Retrieved from https://bit.ly/IDAinMEE225
Project Based Learning and Inquiry Learning in Aerodynamics using Passion Projects: Garrow, K. (2017, May). New classroom approach brings passion to the forefront of learning. Dayton Engineer Blog. Retrieved from https://bit.ly/PassionProjectMEE401
Selected Honors and Awards
2018: DESS Best Presentation in Undergraduate Student Presentation Competition (with Asa Palmer)
2018: Dayton-Cincinnati Aerospace Sciences Symposium Best Presentation Award (with Daniel Curry)
2018: Ohio Space Grant Consortium Best STEM Poster Award (with Asa Palmer)
2017: ASME Dayton Engineering Science Symposium Best Presentation in Fluid Dynamics Award
2016: University of Dayton Outstanding PhD Research Award
2015: American Institute of Aeronautics and Astronautics Chairman’s Award for Outstanding Support of the AIAA Dayton-Cincinnati Section K-12 STEM Outreach Program.
2015: Graduate Summer Fellowship awarded by the University of Dayton
2014: Dayton-Cincinnati Aerospace Sciences Symposium Best Presentation Award (with Aaron Altman)
2013: Graduate Summer Fellowship awarded by the University of Dayton
2007: Academic Excellence Award from Sainik School Amaravathi Nagar (India)
2007: Best in Physics Award from Sainik School Amaravathi Nagar (India)
With Students:
2022: Jielong Cai – DCASS 2nd Place in Art-In-Science Competition
2018: Asa Palmer - DESS Best Presentation in Undergraduate Student Presentation Competition
2018: Daniel Curry - Dayton-Cincinnati Aerospace Sciences Symposium Best Presentation Award
2018: Asa Palmer - Ohio Space Grant Consortium Best STEM Poster Award
Licenses, Certifications and Credentials
Design and Simulation of Propeller Aerodynamics in Matlab, Udemy, May 22, 2020
Creating Apps in Matlab with App Designer, Udemy, May 18, 2020
Matlab Simulink Bible, Udemy, May 8, 2020
Control Systems: From Mathematical Modelling to PID Control, Udemy, May 11, 2020
Machine Learning for Data Science using MATLAB, Udemy, July 15, 2021
Courses Taught
MEE 225 Introduction to Flight
MEE 312 Engineering Materials
MEE 312L Engineering Materials Lab
MEE 401/AEE 501 Fundamental Aerodynamics
MEE 425 Airplane Design
MEE 498 Engineering Experimentation with Aero Specialization
AEE 555 Turbulence
AEE 553 Compressible Flow
AEE 590 Experimental Aerodynamics
AEE 590 Advanced Data Science and Machine Learning Applied to Aerodynamics