Welcome to the website of the Collective Dynamics and Control
Laboratory
Contact — Director — Media — Research — Publications — Lab
Members
Welcome to the website of the Collective Dynamics and Control
Laboratory
Contact — Director — Media — Research — Publications — Lab
Members
Dr. Derek A. Paley
Director, Maryland Robotics Center
Director, UMD Autonomous Micro Air Vehicle Team
Principal Investigator, AI and Autonomy for Multi-Agent
Systems (ArtIAMAS)
Director, Collective Dynamics and Control Laboratory
Willis H. Young Jr. Professor of Aerospace Engineering
Education
Department of Aerospace Engineering and Institute for
Systems Research, University of Maryland
Office: 3150 Martin Hall, 4298 Campus Dr., College Park,
MD 20742
(301) 405-5757 | (301) 314-0213 (fax)
Lab: 3247 Kim Engineering Building, 8228 Paint Branch Dr.
dpaley@umd.edu | http://cdcl.umd.edu
Derek A. Paley is Director of the Maryland Robotics Center and Willis H. Young Jr. Professor of
Aerospace Engineering Education in the Department of Aerospace Engineering and the Institute for
Systems Research at the University of Maryland. He is the founding director of the UMD
Collective Dynamics and Control Laboratory and the UMD Autonomous Micro Air Vehicle Team.
Paley is an Affiliate Professor in the Department of Electrical and Computer Engineering,
and a member of the Alfred Gessow Rotorcraft Center, the Maryland Robotics Center, the
Burgers Program for Fluid Dynamics, the Applied Mathematics & Statistics, and Scientific
Computation Program, the Brain and Behavior Initiative, and the Maryland Transportation
Institute. Paley received the B.S. degree in Applied Physics from Yale University in 1997 and
the Ph.D. degree in Mechanical and Aerospace Engineering from Princeton University in
2007 (dissertation). He is the recipient of the Yale University Henry Prentiss Becton Prize for
Excellence in Engineering and Applied Science in 1997, the Princeton University Harold W. Dodds
Honorific Fellowship in 2006, the National Science Foundation CAREER award in 2010,
the Presidential Early Career Award for Scientists and Engineers in 2012, the University of
Maryland E. Robert Kent Teaching Award for Junior Faculty in 2014, and the AIAA National
Capital Section Engineer of the Year in 2015. Paley was a Fellow in the 2013–2014 Office of
Naval Research Sabbatical Fellowship Program, a Fellow in the 2019–2020 UMD ADVANCE
Leadership Fellows Program, a 2020-2021 UMD Distinguished Scholar-Teacher, and a 2023 UMD
Exemplary Researcher. He has been selected as a UMD University Honors Faculty Fellow
for 2023-2025. Paley has authored more than 145 peer-reviewed publications including the
textbook Engineering Dynamics: A Comprehensive Introduction (Princeton University Press,
2011); he edited the volume Bioinspired Sensing, Actuation, and Control in Underwater Soft
Robotic Systems (Springer, 2020). He teaches introductory dynamics, advanced dynamics,
aircraft flight dynamics and control, and nonlinear control. Paley’s research interests are in the
area of dynamics and control, including cooperative control of autonomous vehicles, adaptive
sampling with mobile networks, spatial modeling of biological groups, and bioinspired robotics.
His research is based on support by the Air Force Office of Scientific Research, the Army
Research Office, the Army Research Laboratory, the National Science Foundation, and the Office
of Naval Research. Paley is Associate Fellow of the American Institute of Aeronautics and
Astronautics and Senior Member of the Institute of Electrical and Electronics Engineers. He serves as
Associate Editor of AIAA Journal of Guidance, Control, and Dynamics and IEEE Control Systems
Magazine. Curriculum vitae; Google scholar profile; ResearcherID ORCID Scopus LinkedIn
Read interview with Paley from IEEE Control Systems, April 2020.
Dynamics, estimation, and control: Cooperative control of autonomous vehicles
Mobile sensor networks: Adaptive sampling of spatiotemporal processes
Biocomplexity and bioinspiration: Quantitative modeling of animal groups and behavior
See CDCL news, photos, and videos on the CDCL Facebook page and the CDCL YouTube
channel
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(To see a list of all of the videos, click the playlist icon at the top right of the video player below.)
Enhancing and Increasing State-of-the-practice Capability of Video Pipe Inspection Technology (MDOT 2023–2024, with D. Lovell) The purpose of this proposed research project is to remedy the shortcomings of existing ground and air-based sensor platforms used by the Maryland State Highway Administration for video pipe inspection. The team will scour the market of available ground and aerial robotic vehicles and accompanying hardware and software augmentations. If no commercial solutions are readily available, then the research team will develop solutions to the remaining technical issues in the laboratory and then conduct field tests to validate the solutions.
Increasing Sustainability, Accessibility, and Equity in Urban Mobility with A Self-driving E-Scooter (UMD 2023–2026 Grand Challenge Individual Award) The long-term goal of this Grand Challenge project is to increase sustainability, accessibility, and equity in urban mobility through electric- powered scooters by enabling them to autonomously move where they are needed the most. The specific research objective is to create self-driving e-scooters using tools from robotics, engineering, and computer science to solve the problem of creating a low-emissions, convenient, and inexpensive transportation modality for dense urban settings. The research provides training opportunities for students interested in autonomous robotics and self-driving vehicles.
Hydrodynamics, Sensing & Control in Schooling Fish: From Biology to Efficient Multi-Vehicle Systems (ONR 2022–2026, with E. Kanso, M. McHenry, and Rajat Mittal) The long-term goal of this research activity is to investigate close-proximity swimming in fish-inspired underwater vehicles using a principled approach to modeling and control that results in a physical demonstration of multiple free-swimming prototypes whose interactions yield hydrodynamic benefits. The specific research objective is to apply tools from fluid dynamics, continuum mechanics, and automatic control theory to solve the problem of optimally regulating the swimming behavior of a flexible robotic fish using distributed sensing of the body deformation, adjacent fluid structures, and the relative position/orientation, velocity, and shape of nearby propulsive bodies.
Distributed Control and Estimation for Sonar Performance Prediction by Multiple Autonomous Underwater Vehicles (Northrop Grumman 2022–2023) The long-term goal of this project is to enable multiple buoyancy-controlled drifting sensors to estimate the sound speed profile from onboard hydrographic measurements collected over large spatial and temporal scales. The specific research objective is to apply tools from nonlinear estimation and control, multi-agent systems, and autonomy to solve the problem of (i) formation control of a multi-sensor network composed of drifting vehicles with limited actuation and communication range, and (ii) decentralized estimation and recovery of the sound speed profile in the ocean environment.
Attitude and Shape Control of an Underactuated Flexible Spacecraft (2021–2024) The long-term goal of this research is to enable a large, flexible spacecraft to stabilize its on-orbit attitude and shape using a single onboard reaction wheel and multiple magnetic torque rods. The specific research objective of this project is to apply tools from spacecraft design, multi-body dynamics, and control systems to derive state- and output-feedback control laws that stabilize the spacecraft attitude and shape.
AI and Autonomy for Multi-Agent Systems (ArtIAMAS) (ARL 2021–2026, with A. Gangopadhyay, J. Herrmann, D. Manocha, and N. Roy) The long-term goal of this cooperative agreement is to enable dual-use capabilities and technologies in uncrewed assets and smart devices that work intelligently in cooperation with each other and human actors across multiple domains. The specific research objectives include science-focused and science-led application of tools from engineering, computer science, operations research, cybersecurity, and robotics to solve the problem of endowing embodied mobile platforms and equipment with the requisite intelligence and autonomy to support high-tempo movement and maneuver, secure logistics, and enable situational awareness in complex environments while reducing human workload and risk.
Neutral Buoyancy Research Facility (Space Systems Laboratory) 367,000 gallon water tank
Brin Family Aerial Robotics Lab (Maryland Robotics Center) facility designed for testing flying and ground robotic platforms
Fearless Flight Facility 100’ x 300’ x 50’ outdoor netted arena
2. D. A. Paley and N. Wereley, editors. Bioinspired Sensing, Actuation, and Control in Underwater Soft Robotic Systems. Springer, 2020.
1. N. J. Kasdin and D. A. Paley. Engineering dynamics: A comprehensive introduction. Princeton University Press, 2011. [Review] [Errata].
78. C. Wei, E. Berkenpas, and D. A. Paley. Adaptive sampling for distributed estimation of the pelagic scattering layer using multiple depth-controlled underwater vehicles. Submitted.
77. A. Thompson, L. Canuelas-Puri, and D. A. Paley. Phase synchronization of self-propelled particles with intermittent sensing and actuation. Accepted for publication in IEEE Trans. Automatic Control.
76. A. A. Thompson, A. N. Peterson, M. J. McHenry, and D. A. Paley. A lionfish-inspired predation strategy in planar structured environments. Accepted for publication in Bioinspiration & Biomimetics.
75. A. Shastry and D. A. Paley. System identification for high-performance UAV control in wind. Int. J. Robust and Nonlinear Control, 2023.
74. S. Cheng and D. A. Paley. Cooperative estimation and control of a diffusion-based spatiotemporal process using mobile sensors and actuators. Autonomous Robots, 47:715–731, 2023.
73. R. Suitor, E. Berkenpas, and D. A. Paley. Dynamics and control of a buoyancy-driven underwater vehicle for estimating and tracking the scattering layer. IEEE Robotics and Automation Letters, 8(5):3015–3022, 2023.
72. E. Fowler and D. A. Paley. Observability metrics for space-based cislunar domain awareness. To appear in J. Astronautical Sciences, 70(10):1–24, 2023.
71. Y.-C. Liu, A. Jarari, J. K. Shim, and D. A. Paley. Dynamic modeling and simulation of electric scooter interactions with a pedestrian crowd using a social force model. IEEE Trans. Intelligent Transportation Systems, 23(9):16448–16461, 2022.
70. D. Goswami, A. Riggins, and D. A. Paley. Data-driven prediction of urban micromobility: A study of dockless electric scooters. IEEE Control Systems Magazine, 42(5):18–31, 2022.
69. S. Cheng and D. A. Paley. Optimal guidance and estimation of a 2D diffusion-advection process by a team of mobile sensors. Automatica, 137(110112):1–13, 2022.
68. D. A. Paley, A. A. Thompson, A. Wolek, and P. Ghanem. Planar formation control of a school of robotic fish: Theory and experiments. Frontiers in Control Engineering, special issue on “Control of Underwater Autonomous Vehicles”, 2021.
67. L. Johnson, D. A. Paley, and H. A. Bruck. Modeling the flight dynamics and battery utilization of a hybrid flapping-gliding UAV. AIAA J. Guidance, Control, and Dynamics, 44(12):2276–2283, 2021.
66. S. Cheng and D. A. Paley. Optimal control of a 2D diffusion-advection process with a team of mobile actuators under jointly optimal guidance. Automatica, 133, 2021.
65. D. Goswami and D. A. Paley. Bilinearization, reachability, and optimal control of control-affine nonlinear systems: a Koopman spectral approach. IEEE Trans. Automatic Control, 67(6):2715–2728, 2021.
64. A. Wolek and D. A. Paley. A 3D underwater robotic collective called Blueswarm. Science Robotics, 6(50):eabf4315, 2021.
63. J. Lidard, D. Goswami, D. Snyder, G. Sedky, A. Jones, and D. A. Paley. Output feedback control for lift maximization of a pitching airfoil. AIAA J. Guidance, Control, and Dynamics, 44(3):587–594, 2021.
62. A. Shastry and D. A. Paley. UAV state and parameter estimation in wind using calibration trajectories optimized for observability. IEEE Control Systems Letters, 5(5):2475–1456, 2020.
61. D. Goswami and D. A. Paley. Non-Gaussian estimation and output feedback using the Gaussian Mixture Model Kalman Filter. AIAA J. Guidance, Control, and Dynamics, 44(1):15–24, 2020.
60. J. Boehm, E. Berkenpas, C. Shepard, and D. A. Paley. Tracking performance of model-based thruster control of a remotely operated underwater vehicle. IEEE J. Oceanic Engineering, pages 1–13, 2020.
59. B. Free, J. Lee, and D. A. Paley. Bioinspired pursuit with a swimming robot using feedback control of an internal rotor. Bioinspiration & Biomimetics, 15(3):035005, 2020.
58. D. A. Paley and A. Wolek. Mobile sensor networks and control: Adaptive sampling of spatiotemporal processes. Annual Reviews Control, Robotics, and Autonomous Systems, 3:91–114, 2020.
57. W. Scott and D. A. Paley. Geometric gait design for a starfish-inspired robot using a planar discrete elastic rod model. Advanced Intelligent Systems, pages 1–24, 2020. Special issue on “Soft robotics across different length scales”. Featured on back cover.
56. W. Craig, D. Yeo, and D. A. Paley. Geometric attitude and position control of a quadrotor in wind. AIAA J. Guidance, Navigation, and Control, 43(5):870–883, 2020.
55. A. Wolek, S. Cheng, D. Goswami, and D. A. Paley. Cooperative mapping and target search over an unknown occupancy graph using mutual information. IEEE Robotics and Automation Letters, 5(2):1071–1078, 2020.
54. F. D. Lagor, K. Ide, and D. A. Paley. Non-Gaussian estimation of a potential flow using a controlled Lagrangian sensor guided to invariant set boundaries by augmented observability. IEEE J. Oceanic Engineering, 45(4):1203–1218, 2019.
53. D. F. Gomez, F. D. Lagor, P. B. Kirk, A. Lind, A. Jones, and D. A. Paley. Data-driven estimation of the unsteady flowfield near an actuated airfoil with embedded pressure sensors. AIAA J. Guidance, Control, and Dynamics, 42(10):2279–2287, 2019.
52. N. N. Goldberg, X. Huang, C. Majidi, A. Novelia, O. M. O’Reilly, D. A. Paley, and W. Scott. On planar discrete elastic rod models for the locomotion of soft robots. Soft Robotics, 6(5):595–610, 2019.
51. M. J. McHenry, J. L. Johansen, A. Soto, B. Free, D. A. Paley, and J. C. Liao. The pursuit strategy of predatory bluefish (Pomatomus saltatrix). Proc. Royal Society B, 286:1–6, 2019.
50. D. Shishika and D. A. Paley. Mosquito-inspired distributed swarming and pursuit for cooperative defense against fast intruders. Autonomous Robots, 43(7):1781–1799, 2019.
49. B. Free, M. J. McHenry, and D. A. Paley. Probabilistic analytical modeling of predator-prey interactions in fishes. J. Royal Society Interface, 16(20180873):1–11, 2019.
48. D. Goswami, E. Thackray, and D. A. Paley. Constrained Ulam Dynamic Mode Decomposition: Approximation of Perron-Frobenius Operator for Deterministic and Stochastic Systems. IEEE Control Systems Letters, 2(4):809–814, 2018.
47. D. Yeo, N. Sydney, and D. A. Paley. Onboard flow sensing for multi-rotor pitch control in wind. AIAA J. Guidance, Control, and Dynamics, 41(5):1196–1201, 2018.
46. B. Free and D. A. Paley. Model-based observer and feedback control design for a rigid Joukowski foil in a Kármán vortex street. Bioinspiration & Biomimetics, 13(3):1–15, 2018. Special issue on bioinspired swimming: sensing and control.
45. M. A. Bell, I. Pestovski, W. Scott, K. Kumar, M. K. Jawed, D. A. Paley, C. Majidi, J. C. Weaver, and R. J. Wood. Echinoderm-inspired tube feet for robust locomotion and adhesion. IEEE Robotics and Automation Letters, 3(3):2222–2228, 2018.
103. W. Cui, A. Shastry, and D. A. Paley. Applied aerial autonomy for long distance collaborative operation. Accepted for presentation at SciTech’24.
102. C. Merrill and D. A. Paley. Lyapunov-based two-axis magnetic attitude control of a rigid spacecraft. Accepted for presentation at SciTech’24.
101. E. Fowler and D. A. Paley. Formation flight design near Earth-Moon Lagrange points for interferometric characterization of cislunar objects. To appear in Proc. AMOS 2023.
100. R. Suitor, E. Berkenpas, and D. A. Paley. Dynamics and control of a buoyancy-driven underwater vehicle for estimating and tracking the scattering layer. Accepted for presentation at IROS’23.
99. A. Wolek and D. A. Paley. Output feedback formation control of a school of robotic fish with artificial lateral line sensing. To appear in Proc. IROS 2023.
98. R. Gebhardt and D. A. Paley. Feedback stabilization of vortex position near a deformable foil in a uniform flow using camber control. In Proc. American Control Conf., pages 2895–2900, San Diego, California, 2023.
97. S. Abdi and D. A. Paley. Safe operations of an aerial swarm via a cobot human swarm interface. In Proc. Int. Conf. Robotics and Automation, pages 1701–1707, London, England, 2023.
96. C. Merrill and D. A. Paley. Distributed control of the attitude and shape of a flexible spacecraft. In Proc. AIAA SciTech, number AIAA 2023-2319, National Harbor, Maryland, 2023.
95. A. Donkels, J. Dauer, and D. A. Paley. Dynamics analysis of tethered unmanned rotorcraft. In Proc. AIAA SciTech, number AIAA-2023-0296, National Harbor, Maryland, 2023.
94. C. Wei and D. A. Paley. Distributed estimation of the pelagic scattering layer using a buoyancy controlled robotic system. In Proc. Dynamic Data Driven Applications Systems Conference, Boston, Massachusetts, 2022.
93. C. Wei and D. A. Paley. Distributed spacing control for multiple, buoyancy-controlled underwater robots. In S. M. LaValle, J. M. O’Kane, D. Sadigh, and P. Tokekar, editors, Algorithmic Foundations of Robotics XV: Proc. 15th International Workshop on the Algorithmic Foundations of Robotics, volume 25 of Proceedings in Avanced Robotics, College Park, Maryland, 2022. Springer.
92. A. A. Thompson, L. Cańuelas, and D. A. Paley. Estimation and control for collective motion with intermittent locomotion. In Proc. American Control Conf., pages 747–754, Atlanta, Georgia, 2022.
91. C. Merrill and D. A. Paley. Multi-target detection and tracking in a heterogeneous environment with multiple resource-constrained sensors. In Proc. AIAA SciTech, pages 1–13, San Diego, California, January 2022.
90. E. J. Berkenpas, C. M. Shepard, R. Suitor, P. Zaidins, and D. A. Paley. Swarming driftcams: A novel platform for locating and tracking pelagic scattering layers. In Proc. OCEANS, pages 1–6, San Diego, California, 20 September 2021.
89. J. Lathrop and D. A. Paley. Burrowing locomotion via crack propagation of a bio-inspired soft robot. In Proc. Modeling, Estimation and Control Conference, volume 54 of IFAC-PapersOnLine, pages 128–133, Austin, Texas, 24 October 2021.
88. S. Cheng and D. A. Paley. Optimal guidance of a team of mobile actuators for controlling a 1D diffusion process with unknown initial conditions. In Proc. American Control Conf., pages 1493–1498, New Orleans, Louisiana, 25 May 2021.
87. D. Goswami, A. Wolek, and D. A. Paley. Data-driven estimation using an Echo-State Neural Network equipped with an Ensemble Kalman Filter. In Proc. American Control Conf., pages 2543–2548, New Orleans, Louisiana, 25 May 2021.
86. E. Fowler, S. Hurtt, and D. A. Paley. Observability metrics for space-based cislunar domain awareness. In Proc. 31st AAS/AIAA Space Flight Mechanics Meeting, number 21-406, 2021.
85. L. Johnson, D. A. Paley, and H. A. Bruck. Modeling the flight dynamics and battery utilization of a hybrid flapping-gliding UAV. In Proc. AIAA SciTech, number AIAA 2021-2017, pages 1–10, 2021.
84. S. Cheng and D. A. Paley. Optimal guidance and estimation of a 1D diffusion process by a team of mobile sensors. In Proc. 59th IEEE Conf. Decision and Control, pages 1222–1228, Jeju, Korea, 14 December 2020.
83. S. Cheng and D. A. Paley. Optimal control of a 1D diffusion process with a team of mobile actuators under jointly optimal guidance. In Proc. American Control Conf., pages 3449–3454, Denver, Colorado, July 2020.
82. P. Ghanem, A. Wolek, and D. A. Paley. Planar formation control of a school of robotic fish. In Proc. American Control Conf., number 1653-1658, Denver, Colorado, July 2020.
81. A. Wolek, S. Cheng, D. Goswami, and D. A. Paley. Cooperative mapping and target search over an unknown occupancy graph using mutual information. In Proc. IEEE Int. Conf. on Robotics and Automation, pages 1–8, Paris, France, 2020.
80. T. Burch, J. Lathrop, W. Scott, and D. A. Paley. Feedback control of a soft swinging appendage. In Proc. 3rd IEEE Conf. Soft Robotics, pages 1–6, New Haven, Connecticut, 2020.
79. E. Fowler, S. Hurtt, and D. A. Paley. Orbit design for cislunar space domain awareness. In Proc. 2nd International Conference on Space Situational Awareness, Washington, District of Columbia, 2020.
78. J. Lidard, D. Goswami, D. Snyder, G. Sedky, A. Jones, and D. A. Paley. Output feedback control for lift maximization of a pitching airfoil. In Proc. AIAA SciTech, number AIAA-2020-1836, pages 1–13, Orlando, Florida, 2020.
77. H. Nguewou-Hyousse, W. Scott, and D. A. Paley. Distributed control of a planar elastic rod model for caterpillar-inspired locomotion. In Proc. ASME Dynamic Systems and Control Conf., pages 1–10, Park City, Utah, 2019.
76. J. Lee, S. Santana, B. Free, and D. A. Paley. State-feedback control of an internal rotor for propelling and steering a flexible fish-inspired underwater vehicle. In Proc. American Control Conf., pages 2011–2016, Philadelphia, Pennsylvania, 2019.
75. J. Boehm, E. Berkenpas, C. Shepard, and D. A. Paley. Feedback-linearizing control for velocity and attitude tracking of an ROV with thruster dynamics containing input dead zonese. In Proc. American Control Conf., pages 5699–5704, Philadelphia, Pennsylvania, 2019.
74. D. F. Gomez and D. A. Paley. Closed-loop control of the position of a single vortex relative to an actuated cylinder. In Proc. American Control Conf., pages 3563–3568, Philadelphia, Pennsylvania, 2019.
73. W. Craig, J. T. Lewis, and D. A. Paley. Stabilization of a quadrotor in wind with flow sensing: Linear modeling and control for attitude and position hold. In Proc. VFS Autonomous VTOL Technical Meeting, pages 1–10, Mesa, Arizona, January 2019.
72. W. Craig, D. Yeo, and D. A. Paley. Geometric control of a quadrotor in wind with flow sensing and thrust constraints: Attitude and position control. In Proc. AIAA SciTech, number AIAA-2019-1192, San Diego, California, 2019. Invited session on “Autonomous Small UAS Urban Flight”.
71. D. F. Gomez, F. D. Lagor, P. B. Kirk, A. Lind, A. Jones, and D. A. Paley. Unsteady DMD-based flow field estimation from embedded pressure sensors in actuated airfoils. In Proc. AIAA SciTech, number AIAA-2019-0346, San Diego, California, 2019. Invited session on “Unsteady Aerodynamics — Surging and Surging/Pitching”.
70. D. Goswami, E. Thackray, and D. A. Paley. Constrained Ulam Dynamic Mode Decomposition: Approximation of Perron-Frobenius Operator for Deterministic and Stochastic Systems. In Proc. IEEE Conf. Decision and Control, pages 1–6, Miami Beach, Florida, 2019. Invited session on “Koopman Operator Techniques in Nonlinear Control Theory”.
69. H. Nguewou-Hyousse and D. A. Paley. Microfluidic circuit dynamics and control for caterpillar-inspired locomotion in a soft robot. In Proc. IEEE Conf. Control Technology and Applications, pages 286–293, Copenhagen, Denmark, August 2018.
68. B. Free, M. McHenry, and D. A. Paley. Non-deterministic predator-prey model with accelerating prey. In Proc. American Control Conf., pages 1202–1207, Milwaukee, Wisconsin, June 2018.
36. Cong Wei (MRC Postdoc 2021–2023; faculty Old Dominion University)
35. Weikuo Yen (AE Postdoc 2021–2023; faculty University of Maryland)
34. Srijal Poojari (SE MS 2023)
33. Anthony Thompson (AE PhD 2023)
32. Nathan Toombs (AE MS 2022) thesis
31. Sheng Cheng (ECE PhD 2021) dissertation
30. Nilanjana Ghosh (SE MS 2021) thesis
29. Kevin Dong (SE MS 2021) thesis
28. Shivam Mishra (SE MS 2021) thesis
27. Prateek Prakash (SE MS 2020) thesis
26. Will Scott (AE postdoc 2017–2020; faculty Bucknell University)
25. Artur Wolek (MRC postdoc 2018–2020; faculty UNC Charlotte)
24. Debdipta Goswami (ECE PhD 2020; faculty The Ohio State University) thesis
23. Jordan Boehm (AE MS 2019) thesis
22. Paul Ghanem (SE MS 2019) thesis
21. Daniel Gomez (AE MS 2019) thesis
20. Will Craig (AE PhD 2019) dissertation
19. Travis Burch (AE MS 2019) thesis
18. Brian Free (AE PhD 2019) dissertation
17. Giulia Franchi (AE postdoc 2017; faculty Salisbury University)
16. Frank Lagor (AE PhD 2017; faculty University at Buffalo) dissertation
15. Daigo Shishika (AE PhD 2017; faculty George Mason University) dissertation
14. Brett Barkley (AE MS 2017) thesis
13. Derrick Yeo (AE postdoc 2013–2016)
12. Feitian Zhang (AE postdoc 2015–2016; faculty George Mason University)
11. Amanda Chicoli (NACS PhD 2016; faculty University of Maryland) dissertation
10. Nitin Sydney (AE PhD 2015) dissertation
9. Chin Gian Hooi (AE MS 2015) thesis
8. Levi DeVries (AE PhD 2014; faculty U.S. Naval Academy) dissertation
7. Tracie Severson (AE PhD 2013; faculty U.S. Naval Academy) dissertation
6. Sachit Butail (AE PhD 2012; faculty Northern Illinois University) dissertation
5. Cammy Peterson (AE PhD 2012; faculty Brigham Young University) dissertation
4. Nina Mahmoudian (AE postdoc 2011; faculty Purdue University)
3. Seth Napora (AE MS 2011) thesis
2. Rochelle Mellish (AE MS 2011) thesis
1. Sonia Hernandez (AE MS 2009) thesis
Last updated September 27, 2023