Professor Banks has been active in orthopaedic and joint mechanics research his entire career. He is a member of several professional societies including ASME, the Knee Society, the American Society for Biomechanics and the Orthopaedic Research Society. Professor Banks served as President and annual conference host for the International Society for Technology in Arthroplasty in 2013, and remains a member of the Board of Directors. Professor Banks holds numerous medical device patents, works with several medical device companies, and has designed joint replacement implants that have been used in over 100,000 patients.
Education
Ph.D., 1992, Massachusetts Institute of Technology
M.Sc., 1988, B.Sc., 1985, Case Western Reserve University
Teaching Interests
Musculoskeletal biomechanics, measurement techniques and technologies, robotics and controls.
Research Interests
Biomechanics of human and animal joints in healthy, injured and replaced states. Techniques and technologies for quantifying musculoskeletal biomechanics. Musculoskeletal modeling for surgical planning and treatment design. Medical robotics for surgery and research.
SELECTED PUBLICATIONS
Education
B.S., 2012, University of Florida,M.S., 2013, University of Florida,Ph.D., 2017, University of Florida
Professional Memberships and Fellowships
American Society of Engineering Education, Member
Teaching Interests
Numerical methods, control systems, and optimization.
John Conklin is an Associate Professor of Mechanical and Aerospace Engineering at the University of Florida. He joined the UF faculty in 2012 after a three-year research associateship at the W.W. Hansen Experimental Physics Laboratory at Stanford. He received his BS and MEng degrees from Cornell and PhD from Stanford in 2009. In 2011, John was the Fulbright Junior Lecturer at the University of Trento in Italy. He has served as Chair of NASA’s Physics of the Cosmos Program Analysis Group and Vice-Chair of NASA’s Astrophysics Advisory Committee. John has been awarded the NASA Group Achievement Award (2005) for the Gravity Probe B science team, the Balhaus Prize (2009) for best PhD thesis in Aeronautics and Astronautics at Stanford, the Zeldovich Medal (2010) from COSPAR & the Russian Academy of Sciences, the NASA Early Career Faculty Award (2014), NASA’s Nancy Grace Roman Technology Fellowship in Space Astrophysics for Early Career Researchers (2015), Teacher of the Year Award (2015) in Mechanical and Aerospace Engineering at UF, and the Space Science Award from AIAA (2016) for the Gravity Probe B science team.
Education
Ph.D., 2009, Stanford University
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
American Physical Society, Member
American Astronomical Society, Member
American Geophysical Union, Member
Teaching Interests
Dynamics, Astrodynamics, Navigation, Precision Engineering
Research Interests
John’s research is in the development of precision instruments for spacecraft Position, Navigation, Timing and Gravity (PNTG), and the design and analysis of space missions that depend heavily on these technologies.
Selected Publications
- H. Inchauspé, T. Olatunde, S. Apple, S. Parry, B. Letson, N. Turetta, G. Mueller, P.J. Wass, J.W. Conklin, “Numerical modeling and experimental demonstration of pulsed charge control for the space inertial sensor used in LISA”, Physical Review D, Vol. 102, No. 4, pp. 042002, (2020).
- H. Hong, J. W. Conklin, “Finding the suitable drag-free acceleration noise level for future low-low satellite-to-satellite tracking geodesy missions”, Advances in Space Research, Vol. 63, No. 1, pp. 32-50, (2019).
- J. Anderson, N. Barnwell, M. Carrasquilla, J. Chavez, O. Formoso, A. Nelson, T. Noel, S. Nydam, J. Pease, F. Pistella, T. Ritz, S. Roberts, P. Serra, E. Waxman, J. W. Conklin, W. Attai, J. Hanson, A.N. Nguyen, K. Oyadomari, C. Priscal, J. Stupl, J. Wolfe, B. Jaroux, “Sub-nanosecond ground-to-space clock synchronization for nanosatellites using pulsed optical links”, Advances in Space Research, Vol. 62, No. 1, pp. 3475-3490, (2018).
- D. Bortoluzzi, M. Benedetti, J. W. Conklin, “Measurement of metallic adhesion force-to-elongation profile under high strain-rate conditions”, Experimental and Applied Mechanics, Vol. 4, pp. 67-74, (2013).
- C. W. F. Everitt, D. B. DeBra, B. W. Parkinson, J. P. Turneaure, J. W. Conklin, M. I. Heifetz, G. M. Keiser, A. S. Silbergleit, T. Holmes, J. Kolodziejczak, M. Al-Meshari, J. C. Mester, B. Muhlfelder, V. G. Solomonik, K. Stahl, P. W. Worden Jr., W. Bencze, S. Buchman, B. Clarke, A. Al-Jadaan, H. Al-Jibreen, J. Li, J. A. Lipa, J. M. Lockhart, B. Al-Suwaidan, M. Taber, S. Wang, “Gravity Probe B: Final Results of a Space Experiment to Test General Relativity”, Physical Review Letters, Vol. 106, No 22, p. 221101, (2011).
Carl D. Crane is a Professor in the Department of Mechanical and Aerospace Engineering and Director of the Center for Intelligent Machines and Robotics (CIMAR) at the University of Florida. He received his B.S. and M.E. degrees in Mechanical Engineering from Rensselaer Polytechnic Institute in 1978 and 1979. Following this he spent five years as an officer in the Army Corps of Engineers. He then went on to continue his studies and received his Ph.D. degree from the University of Florida in 1987. In 2003 he was named a fellow of ASME. Dr. Crane has been involved in research in the areas of spatial mechanisms, tensegrity systems, robotics, and autonomous navigation for over twenty five years. Current activities include the development and implementation of system architectures for autonomous ground vehicle navigation and the design and implementation of passive parallel mechanisms to be used for force control applications. Dr. Crane was team leader of the University of Florida’s 2004 and 2005 DARPA Grand Challenge autonomous vehicle development efforts and for the University of Florida’s 2007 DARPA Urban Challenge project team. Dr. Crane has authored one book and over forty papers in the area of spatial geometry and robotic systems. He has supervised one hundred and ten Master’s graduates and forty one Ph.D. graduates during his career at the University of Florida.
Education
Ph.D., 1987, University of Florida,M.E., 1979, Rensselaer Polytechnic Institute,B.S., 1978, Rensselaer Polytechnic Institute
Professional Memberships and Fellowships
American Society of Engineering Education, Member
American Society of Mechanical Engineers, Member
American Nuclear Society, Member
Teaching Interests
Robotics, computer aided design, and mechanical design.
Research Interests
Spatial mechanisms, robotics, autonomous ground vehicles.
Prof. Warren Dixon received his Ph.D. in 2000 from Clemson University. He worked as a research staff member and Eugene P. Wigner Fellow at Oak Ridge National Laboratory (ORNL) until 2004, when he joined the University of Florida in the Mechanical and Aerospace Engineering Department, where he is now a Distinguished Professor, Dean’s Leadership Professor, and Department Chair. His main research interest has been the development and application of Lyapunov-based control techniques for uncertain nonlinear systems. His work has been recognized by the 2019 IEEE Control Systems Technology Award, (2017-2018 & 2012-2013) University of Florida College of Engineering Doctoral Dissertation Mentoring Award, 2015 & 2009 American Automatic Control Council (AACC) O. Hugo Schuck (Best Paper) Award, the 2013 Fred Ellersick Award for Best Overall MILCOM Paper, the 2011 American Society of Mechanical Engineers (ASME) Dynamics Systems and Control Division Outstanding Young Investigator Award, the 2006 IEEE Robotics and Automation Society (RAS) Early Academic Career Award, an NSF CAREER Award (2006-2011), the 2004 Department of Energy Outstanding Mentor Award, and the 2001 ORNL Early Career Award for Engineering Achievement. He is an ASME Fellow (2016) and IEEE Fellow (2016), was an IEEE Control Systems Society (CSS) Distinguished Lecturer (2013-2018), served as the Director of Operations for the Executive Committee of the IEEE CSS Board of Governors (BOG) (2012-2015), and served as an elected member of the IEEE CSS BOG (2019-2020). His technical contributions and service to the IEEE CSS were recognized by the IEEE CSS Distinguished Member Award (2020). He was awarded the Air Force Commander’s Public Service Award (2016) for his contributions to the U.S. Air Force Science Advisory Board.
Education
Ph.D., 2000, Clemson University
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
The American Society of Mechanical Engineers, Fellow 2016
Institute of Electrical and Electronics Engineers, Fellow 2016
Teaching Interests
Nonlinear Control, Adaptive Control, Control of Mechanical Engineering Systems
Research Interests
Adaptive nonlinear control, robotics, human-machine interactions, biomedical, visual servo control
Selected Publications
- R. Kamalapurkar, P. S. Walters, J. A. Rosenfeld, W. E. Dixon, Reinforcement Learning for Optimal Feedback Control: A Lyapunov-based Approach, Springer, 2018.
- A. Behal, W. E. Dixon, B. Xian, and D. M. Dawson, Lyapunov-Based Control of Robotic Systems, Taylor and Francis, 2009, ISBN: 0849370256.
- W. E. Dixon, A. Behal, D. M. Dawson, and S. Nagarkatti, Nonlinear Control of Engineering Systems: A Lyapunov-Based Approach, Birkhauser Boston, 2003, ISBN: 0- 8176-4265-X.
- S. Bhasin, R. Kamalapurkar, M. Johnson, K. Vamvoudakis, F. L. Lewis, and W. E. Dixon, “A novel actor-critic-identifier architecture for approximate optimal control of uncertain nonlinear systems,” Automatica, Vol. 49, No. 1, pp. 89-92 (2013).
- N. Fischer, R. Kamalapurkar, and W. E. Dixon, “LaSalle-Yoshizawa Corollaries for Nonsmooth Systems,” IEEE Transactions on Automatic Control, Vol. 58, No. 9, pp. 2333-2338 (2013).
- P. M. Patre, W. MacKunis, K. Kaiser, and W. E. Dixon, “Asymptotic Tracking for Uncertain Dynamic Systems via a Multilayer Neural Network Feedforward and RISE Feedback Control Structure,” IEEE Transactions on Automatic Control, Vol. 53, No. 9, pp. 2180-2185 (2008).
- C. Cousin, V. Duenas, C. Rouse, M. Bellman, P. Freeborn, E. Fox, and W. E. Dixon, “Closed-Loop Cadence and Instantaneous Power Control on a Motorized Functional Electrical Stimulation Cycle,” IEEE Transactions on Control Systems Technology, Vol. 28, No. 6, pp. 2276-2291 (2020).
- T.-H. Cheng, Z. Kan, J. R. Klotz, J. M. Shea, and W. E. Dixon, “Event-Triggered Control of Multi-Agent Systems for Fixed and Time-Varying Network Topologies,” IEEE Transactions on Automatic Control, Vol. 62, No. 10, pp. 5365-5371 (2017).
Dr. Eric Jing Du is an associate professor in the Department of Civil Engineering, and MAE’s affiliate and graduate faculty. Before joining University of Florida in January 2019, he was a faculty member at Texas A&M University, and a senior production analyst at Zachry Industrial in San Antonio, TX. His primary area of research is human-robot collaboration for complex industrial operations. His ongoing projects involve the use of Mixed Reality and haptic stimulation to enhance physical embodiment in robot teleoperation. With his colleagues, Dr.Du has secured more than $12 million in federal funding from National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), and National Institute of Standards and Technology (NIST), with more than $5 million directly attributed to him. Dr. Du has published more than 130 referred journal and conference papers, including several best paper awards from high impact journals. Dr.Du is the elected Secretary of the American Society of Civil Engineers (ASCE) Visualization, Information Modeling and Simulation (VIMS) committee, and serves on the editorial board of three journals. Dr.Du received his PhD degree in construction engineering from Michigan State University (2012), master’s degree in Enterprise Management (2007) and bachelor degree in Civil Engineering (2004), both from Tianjin University in China.
Education
Michigan State University (2012)
Teaching Interests
Informatics, robotics, visualization.
Research Interests
Human-robot collaboration, mixed reality, human factors
Research Interests
- Vann, W., Zhou, T., Zhu, Q., & Du, J.* (2023). Enabling automated facility maintenance from articulated robot Collision-Free designs. ELSEVIER Advanced Engineering Informatics, 55, 101820.
- Zhu, Q., Zhou, T., & Du, J.* (2022). Haptics-based force balance controller for tower crane payload sway controls. ELSEVIER Automation in Construction, 144, 104597.
- Xu, F., Xia, P., You, H., & Du, J.* (2022). Robotic Cross-Platform Sensor Fusion and Augmented Visualization for Large Indoor Space Reality Capture. ASCE Journal of Computing in Civil Engineering, 36(6), 04022036.
- Ye, Y., Shi, Y., Srinivasan, D., & Du, J.* (2022). Sensation transfer for immersive exoskeleton motor training: Implications of haptics and viewpoints. ELSEVIER Automation in Construction, 141, 104411.
- Xia, P., Xu, F., Zhou, T., & Du, J.* (2022). Benchmarking Human versus Robot Performance in Emergency Structural Inspection. ASCE Journal of Construction Engineering and Management, 148(8), 04022070.
- Zhu, Q., Du, J.*, Shi, Y., & Wei, P. (2021). Neurobehavioral assessment of force feedback simulation in industrial robotic teleoperation. ELSEVIER Automation in Construction, 126, 103674.
- Zhu, Q., Zhou, T., & Du, J.* (2022). Upper-body haptic system for snake robot teleoperation in pipelines. ELSEVIER Advanced Engineering Informatics, 51, 101532.
GATAS Lab: https://gataslab.org/
Research:
Dr. James Fairbanks’ work specializes in the areas of Computational Science and Engineering, Computational Mathematics, numerical methods, and high-performance computing (HPC). He aims to utilize applied category theory, and algebraic techniques for designing and developing software for technical computing problems. In the realm of Computational Mathematics, his research focuses on using mathematical modeling and numerical methods to address challenges in scientific computing and data-driven engineering. He is interested in compositionality in engineered and scientific systems, especially mathematical and theoretical foundations for the design and analysis of complex and hierarchical systems. Research in these topics is fueled by problems in robotics, dynamics, and control and computational physics including computational fluid mechanics.
Research Experience:
Dr. Fairbanks has previously worked on applications of high-performance computing techniques to solve complex problems in fields such as healthcare, social science, epidemiology, biology, and physics. graph algorithms, and analytics. He has previously worked at the Georgia Tech Research Institute (Atlanta, GA) and interned at the Lawrence Livermore National Laboratory (Livermore, CA) and Center for Computing Sciences (Bowie, MD).
Teaching bio:
Dr. James Fairbanks’ teaching philosophy is deeply rooted in the belief that computational and applied mathematics is essential to modern engineering. Students should be prepared to practice engineering with foundations to understand and appreciate the complexities of numerical methods. These skills and knowledge are critical for students to succeed in all ways that engineers impact society.
Courses taught:
Fall 2022 “Abstraction Composition and Computation” (CIS4930/6930),
Spring 2023 “Numerical Analysis: A Computational Approach” (COT4501).
Spring 2024 “Numerical Analysis: A Computational Approach” (COT4501).
Teaching Interests:
EGM 6341 Numerical Methods of Engineering Analysis I
EGM 3344 Introduction to Numerical Methods of Engineering Analysis
Active Projects: https://gataslab.org/projects
Publications: https://gataslab.org/research
Research Interests:
Applied Category Theory, Computational Science and Engineering, Data Science, Numerical Methods, High Performance Computing, Design and Analysis of Complex Systems, Compositional Systems
Education
Ph.D., Human Biodynamics, University of California, Berkeley, 1998,M.S., Exercise Physiology, University of Miami 1994,B.S., Mathematics Education, University of Central Florida 1992
Education
Ph.D., 1990, Auburn University
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
Research Interests
Dynamics and control of multibody systems, game theory, orbital dynamics, flight mechanics.
Dr. Jie Fu received the M.Sc. degree in Electrical Engineering and Automaton from Beijing Institute of Technology, Beijing, China, in 2009, and the Ph.D. degree in Mechanical Engineering from the University of Delaware, Newark, DE, USA, in 2013. From 2013 to 2015, she was a Postdoctoral Scholar with the University of Pennsylvania. From 2016-2021, she was an Assistant Professor with the Department of Robotics Engineering, Worcester, MA.
Her research focuses on using control theory, formal methods, and game theory to designing robust and provably correct autonomous robots and cyber-physical systems with a holistic dynamic and epistemic model of the interacting environments.
Education
BS. Electrical Engineering and Automation, 2007, Beijing Institute Technology
MS. Control Theory and Control Engineering, 2009, Beijing Institute Technology
Ph.D. Mechanical Engineering, 2014, University of Delaware
Teaching Interests
Data Science for ECE, Formal methods for Cyber-Physical Systems, Robot Control.
Research Interests
Control theory, formal methods, game theory, shared autonomy.
Selected Publications
S. Udupa, A. N. Kulkarni, S. Han, N. O. Leslie, C. A. Kamhoua, and J. Fu, “Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks,” IEEE Control Systems Letters, vol. 7, pp. 265–270, 2023.
Li L, Ma H, Kulkarni A, Fu J. Dynamic Hypergames for Synthesis of Deceptive Strategies With Temporal Logic Objectives. IEEE Transactions on Automation Science and Engineering. 2022.
Kulkarni A, Fu J, Luo H, Kamhoua CA., Leslie NO.. Decoy Allocation Games on Graphs with Temporal Logic Objectives. Conference on Decision and Game Theory for Security. 2020.
After 20 years in the robotics industry, Mike came back to UF to teach the design courses.
Education
1991 Ph.D. University of Florida
1988 MSME University of Florida
1985 BSME University of Florida
Professional Memberships and Fellowships
The American Society of Mechanical Engineers, Member
Teaching Interests
Design, Kinematics, Statics, Numerical Methods
Research Interests
Kinematics, Statics, Screw Theory
Dan Guralnik received his Ph.D. from the Technion-IIT Mathematics department in 2005, specializing in Geometric Group Theory. After post-doctoral appointments at Vanderbilt University and University of Oklahoma, where he worked on asymptotic geometry and boundary dynamics of discrete groups, he moved in 2011 to a post-doctoral appointment at KodLab, the legged locomotion laboratory at the University of Pennsylvania, to start work on applications of topology and category theory to problems of knowledge representation in the context of navigation and control. In fall 2019 he has joined NCR as a research scientist to work on developing formal and category-theoretical methods in hybrid control, as part of the AFOSR Center of Excellence in Assured Autonomy in Contested Environments.
Education
Ph.D. Mathematics (Technion-IIT)
Professional Memberships and Fellowships
American Mathematical Society, Member
Teaching Interests
Algebra (linear, group theory, commutative algebra), Analysis/Calculus, Topology (point-set and algebraic), topics courses on connection of algebra and topology in control.
Research Interests
Hybrid dynamical systems theory from a category-theoretic viewpoint; mobile agent networks; general artificial intelligence and learning from the point of view of internal representations; finite metric geometry and quantization (e.g. clustering); geometric group theory and its applications; asymptotic invariants of non-positively curved groups and continua theory.
Matthew Hale received his BSE summa cum laude from the University of Pennsylvania and received his MS and PhD from Georgia Tech. His work is driven by designing and analyzing multi-agent coordination algorithms that function well under challenging conditions, such as asynchronous information sharing, noisy communications, and user privacy requirements. His work deploys these algorithms on teams of flying and ground robots, providing both validation of the underlying theory and further research directions. He was named the MAE Department’s Teacher of the Year for 2018-2019 and received an NSF CAREER Award in 2020.
Education
Ph.D., 2017, Georgia Institute of Technology
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
The American Society of Mechanical Engineers, Member
Institute of Electrical and Electronics Engineers, Member
Sigma Xi, Member
Teaching Interests
Network control systems, Optimal control, Classical control
Research Interests
Multi-agent learning and control, Privacy, Optimization, Robotics
Dr. Yong Huang is a professor of Mechanical and Aerospace Engineering, Biomedical Engineering, and Materials Science and Engineering. His research interests are two-fold: 1) processing of biological and engineering materials for healthcare/energy applications, and 2) understanding of dynamic material behavior during manufacturing and process-induced damage or defect structures. He served as the Technical Program Chair for the 2010 American Society of Mechanical Engineers International Manufacturing Science and Engineering Conference (ASME MSEC 2010) and the 2012 International Symposium on Flexible Automation (ISFA 2012). He received various awards for his manufacturing research contributions including the ASME Blackall Machine Tool and Gage Award (2005), the Society of Manufacturing Engineers Outstanding Young Manufacturing Engineer Award (2006), the NSF CAREER Award (2008), and the ASME International Symposium on Flexible Automation Young Investigator Award (2008). He received his Ph.D. in Mechanical Engineering from the Georgia Institute of Technology in 2002 and is a Fellow of ASME.
Education
Ph.D., 2002, Georgia Institute of Technology
Teaching Interests
Manufacturing Engineering, Advanced Manufacturing Processes and Analyses, Mechanics of Materials
Research Interests
- Three-dimensional (3D) printing of biological and engineering materials from difficult-to-print ink materials using inkjetting, extrusion, and laser-induced forward transfer,
- Design and fabrication of microphysiological and engineered living systems, and
- Study of dynamic material behavior using jetting and machining.
Education
Ph.D., 1992, Virginia Polytechnic Institute
Research Interests
Experimental mechanics, moire interferometry, compositie materials, micro air vehicles.
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
Society of Manufacturing Engineers, Member
Education
Ph.D. in Aerospace Engineering, 1995, University of Minnesota
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
Research Interests
aeroservoelasticity, morphing, controls, flight testing
Amor A. Menezes is an Associate Professor of Mechanical and Aerospace Engineering at the University of Florida, with affiliate appointments in Biomedical Engineering, Agricultural and Biological Engineering, Genetics, and Chemical Engineering. He is a member of the National Academies of Sciences, Engineering, and Medicine Standing Committee on Advances and National Security Implications of Transdisciplinary Biotechnology. His research focuses on modeling and controlling biological processes for medical and space applications. His group develops feedback control systems for inflammation-mediated coagulation disorders; advances the theory of biomolecular positive dynamical systems; designs integrated space biomanufacturing systems; and genetically engineers microbes to reject extreme environments. As Principal Investigator of three multi-university experiments launched to the International Space Station, he established the viability of space microbial biomanufacturing. From 2017-2023, he was Science Principal Investigator of NASA’s Center for the Utilization of Biological Engineering in Space. Prof. Menezes’ research was recognized by the NSF CAREER award, the Synthetic Biology Leadership Excellence Accelerator Program, and the Emerging Leaders in Biosecurity Initiative. He has contributed to the Engineering Biology Research Consortium’s “Engineering Biology for Space Health Roadmap”, the White House Office of Science and Technology Policy workshop on “Homesteading in Space”, and the National Intelligence Council Strategic Futures Group’s “Global Trends Report”. He is an Associate Editor of the IEEE Control Systems Society Technology Conference Editorial Board and the ASME Modeling, Estimation and Control Conference Editorial Board. He is a Senior Member of IEEE and a Member of AIAA, ASME, and ASGSR. Prof. Menezes received a Ph.D. in aerospace engineering from the University of Michigan, and completed postdoctoral training in aerospace engineering and bioengineering at the University of Michigan and the University of California, Berkeley, respectively.
Education
Postdoc, 2016, University of California, Berkeley;
Postdoc, 2011, University of Michigan;
Ph.D., 2010, University of Michigan;
M.S.E., 2006, University of Michigan;
B.A.Sc., 2005, University of Waterloo
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
American Society for Gravitational and Space Research, Member
American Society of Mechanical Engineers, Member
Institute of Electrical and Electronics Engineers, Senior Member
Teaching Interests
Modeling and Control of Biological Systems, Control of Linear and Nonlinear Systems, and Aircraft and Spacecraft Performance and Control.
Research Interests
Biological Control Systems, Biosecurity, Cellular Engineering, Nonlinear Control, Synthetic Biology, and Systems Biology.
Professor Mohseni received his Ph.D. in 2000 from California Institute of Technology. After a year as a Postdoc in Control and Dynamical Systems at Caltech he joined the Aerospace Engineering Sciences department at the University of Colorado in Boulder as an Assistant Professor. Professor Mohseni joined the University of Florida as W. P. Bushnell Endowed Professor in MAE and ECE departments in 2011. Professor Mohseni is the director of Institute for Networked Autonomous Systems (INAS).
Education
PhD, 2000, California Institute of Technology,MS, Imperial College, UK,BS, Science of Technology University, Iran
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
American Physical Society, Member
The American Society of Mechanical Engineers, Member
Institute of Electrics and Electronics Engineers, Member
Teaching Interests
State Variable Control Method, Control theory, Fluid dynamics, Sources of Vorticity, Control of Marine and Aerial Vehicles, Sources of Vortices & Vortex Dynamics, State Variable Methods in Linear Systems.
Research Interests
(1) Fluid dynamics including bio-propulsion, shocks, turbulence, vortex dynamics (2) Robotics & Control: including bioinspired unmanned systems, sensor networking in harsh environments (3) Digitized heat transfer
Dr. Patrick Musgrave received his PhD from Virginia Tech in 2018 and BSc & BSE from the University of Pittsburgh in 2012. Dr. Musgrave’s research focuses on adaptive and morphing systems operating in fluidic environments, in particular systems subject to dynamic fluid-structure interactions. These systems are inherently multi-physical and sit at the intersection of structures, hydro/aerodynamics, mechatronics, smart materials, and controls. To investigate these systems, Dr. Musgrave’s research emphasizes a combination of experimentation and analytic/reduced-order modeling. Applications of interest include bio-inspired underwater propulsion, underwater robotics, embedded sensing, and compliant aerospace systems.
Prior to joining the University of Florida in the Fall of 2021, Dr. Musgrave was a research scientist at the US Naval Research Laboratory (NRL) in the Naval Center for Space Technology. At NRL, he was a Jerome Karle’s Fellow and received early career funding in the area of bio-inspired underwater propulsion. Dr. Musgrave is a DAAD Scholar, having held a post-baccalaureate research position at the Technical University of Munich.
Education
Ph.D. (Mechanical Engineering), 2018, Virginia Tech
BSc (Physics) & BSE (Mechanical Engineering), 2012, University of Pittsburgh
Research Interests
Bio-inspired propulsion, adaptive systems, embedded sensing, fluid-structure interactions, structural dynamics
Alicia Petersen is an Assistant Professor of Mechanical and Aerospace Engineering (MAE) at the University of Florida. Through data analysis, instrumentation and modeling, Dr. Petersen researches the kinetic physics, magnetism and dynamics at play during the transit and interaction of space weather phenomena in the inner solar system, their impacts on spacecraft, and strategies for mitigating the impacts of space weather.
Dr. Petersen joined the Department of MAE in 2022 after being an NRC Research Fellow at the Space Vehicles Directorate of the Air Force Research Laboratory where she researched the propagation of space weather events in order to improve space weather forecasting, with the aim of enhancing space situational awareness and protecting space-based assets for the US Air Force and Space Force. Dr. Petersen earned her PhD and MS from the Climate and Space Sciences and Engineering Dept. at the University of Michigan.
Research
Space weather events have damaging effects on spacecraft, communications, GPS, air transportation, and power systems. Space weather is caused by phenomena which originate at the Sun and propagate through the inner solar system before reaching Earth. This region is dominated by the Sun’s heliospheric magnetic field, which is both shaped by and shapes the propagation of ionized plasma and particles throughout the solar system. This includes explosive eruptions of plasma known as coronal mass ejections (CMEs) and energetic particles known as solar energetic particles (SEPs). Dr. Petersen’s lab, SWIFT (Space Weather Impacts, Forecasting and Transit) at MAE does computational modeling of the Sun’s magnetic field and solar electrons in the inner solar system, designing/building instrumentation for monitoring space weather and using in situ space-based observations of solar particles to investigate the propagation and interactions of space weather events.
Education
Dr. Alicia Petersen earned her PhD & MS in Space Physics, Engineering and Scientific Computing from the Climate and Space Sciences and Engineering Department in the College of Engineering at the University of Michigan. Dr. Petersen spent two years studying particle physics and German while studying abroad in Erlangen, Germany and doing research at the Remeis-Sternwarte Observatory in Bamberg, Germany. She earned her undergraduate degree in Physics and Mathematics from Kalamazoo College in Michigan.
Teaching
The Space Environment; Space Physics; Heliophysics; Dynamics; Diversity, Equity, Inclusion, & Justice (DEIJ) in STEM,
Engineering Education and Diversity, Equity & Inclusion
Dr. Petersen has served on the Executive Committee of the American Geophysical Union’s Education Section. She researches and implements research-based education practices in her lab and classroom to create engaging and inclusive learning environments. Dr. Petersen is passionate about promoting diversity, equity and inclusion (DEI), and has extensive training and experience engaging in actions to enhance DEI in the teaching, research and culture of academia.
Dr. Christopher “Chrispy” Petersen is an Assistant Professor in the Mechanical and Aerospace Engineering (MAE) Department at the University of Florida. His research interests lie in anything related to space guidance, navigation, control, and autonomy, with particular focus of making techniques real-time implementable and usable for operators. While all of space interests him, his research mostly is concerned with Rendezvous, Proximity Operations, and Docking (RPOD) and any satellite in the eXtra Geostationary (XGEO) regime (above geostationary orbit, to the Moon, and beyond).
Dr. Chrispy Petersen joined the Department in 2022. Before that, he was a Research Aerospace Engineer and a Deputy Program Manager at the Space Vehicles Directorate of the U.S. Air Force Research Laboratory (AFRL/RV) located at Kirtland Air Force Base in New Mexico. While at AFRL he worked on 10+ satellite experiments, developing, deploying, and executing guidance, navigation, control, and autonomy (GNCA) algorithms for ground and on-orbit use. As a highlight, Dr. Chrispy Petersen was the PI for advanced autonomous guidance algorithms used by the Mycroft flight experiment which has been recognized as “…the AF’s biggest game changer” for space warfighters. Before he left, he served as the Deputy Program Manager of the Autonomous Demonstrations and Orbital eXperiments (ADOX) Portfolio, which is a series of satellite demonstrations focused on autonomy technologies to enable satellite inspection, XGEO space domain awareness and logistics in GEO including advanced propulsion and refueling. For his accomplishments, in 2021 he was awarded the AFRL Early Career Award. In addition to his duties at AFRL, he was a Research Professor at the University of New Mexico in the Electrical and Computer Engineering Department, teaching classes on nonlinear control and spacecraft dynamics, estimation, and control.
Research
Dr. Chrispy Petersen looks at four research pillars that cross theory and application
- Exploring and exploiting spacecraft dynamics
- Advanced guidance, navigation, control and autonomy (GNCA)
- Real-time computationally aware optimization for spacecraft
- Immersive human-satellite interfaces
He is interested in all four pillars for space applications, but primarily focuses on two domains: i) Rendezvous, Proximity Operations, and Docking (RPO), where two or more satellites fly within 500 km of one another, and ii.) eXtra Geostationary Orbit (XGEO) operations, where satellites fly past the Earth, the Moon, and beyond. He enjoys a healthy balance between theory and application in order to improve state-of-the-art space technology. At UF Dr. Petersen’s lab, the Spacecraft Technology And Research (STAR) Lab, is developing, designing, and deploying methods for satellites.
Education
Dr. Chrispy Petersen earned his PhD (2016) & MS (2014) in Spacecraft Dynamics & Control in the Aerospace Engineering Department at the University of Michigan. Before that he earned his BS summa cum laude in Aerospace Engineering from Syracuse University (2012), with minors in Electrical Engineering, Mathematics, and Music Performance.
Professional Memberships and Fellowships
American Astronautical Society, Member
American Institute of Aeronautics and Astronautics, Member
Institute of Electrics and Electronics Engineers, Member
Teaching Interests
Dynamics; Nonlinear Control; Spacecraft Guidance, Navigation, and Control; Optimization. Optimal Control; Linear Systems
Awards
- 2021 AFRL Early Career Award
- 2021 AFRL Science, Technology, Engineering, and Mathematics (STEM) Engineering Achievement Award
- 2020 AFRL/RV Rotary National Aware for Space Achievement (RNASA) Team Award (EAGLE/Mycroft)
- 2020 AFRL STEM Exploratory Or Advanced Tech Development Team Award (EAGLE/Mycroft)
- 2019 AFRL Annual Award Commander’s Cup Team Award (EAGLE/Mycroft)
- 2018 AFRL Nominee for Theodore Von Karman Team Award (EAGLE/Mycroft)
Professor Rao earned his Ph.D. in mechanical and aerospace engineering from Princeton University, his M.S.E. in aerospace engineering from the University of Michigan, and his B.S. in mechanical engineering and A.B. in mathematics from Cornell University. Professor Rao’s research interests lie in the area of control and optimization of space and air vehicles and combine the development of new computational methods for optimal control with novel applications including space mission planning, performance optimization of atmospheric flight vehicles, and other vehicular control problems (for example, high performance ground and underwater vehicles). He has pioneered the development of the latest state-of-the-art discretization methods for optimal control that has led to the MATLAB software program GPOPS-II which is being used worldwide in government, academia, and industry in all of the aforementioned application areas. He has won numerous teaching awards in his career including MAE department teacher of the year. Professor Rao is an Associate Fellow of the American Institute of Aeronautics and Astronautics and is also a member of the American Astronautical Society and the Society for Industrial and Applied Mathematics.
Education
Ph.D., 1996, Princeton University,M.A., 1992, Princeton University,M.S.E., 1989, University of Michigan,A.B., 1988, Cornell University,B.S, 1988, Cornell University
Professional Memberships and Fellowships
American Astronautical Society, Fellow 2021
Teaching Interests
Dynamics, optimal control, orbital mechanics, and vibrations.
Research Interests
Optimal space mission design and control, atmospheric flight performance optimization and control, computational methods for optimal control, guidance and control of aerospace vehicles, performance optimization of ground and underwater vehicles.
Professor Subrata Roy studies ionized gas physics and its various applications: (1) Atmospheric plasma actuators for flow mixing, propulsion, and turbulent flow control; (2) Hypersonic flows; (3) Space propulsion; and (4) Hydrodynamic models for micro and nanofluidics by incorporating Knudsen’s theory. Prof. Roy is a Fellow of the National Academy of Inventors (NAI), a Distinguished Visiting Fellow of the Royal Academy of Engineering, a Fellow of the Royal Aeronautical Society, a Fellow of the ASME, and an Associated Fellow of the AIAA. He serves as a member of the Editorial Board of Nature Scientific Reports and Actuators. He has over 200 publications in peer-reviewed journals and bound volumes and holds over 30 patents including one on Wingless Electromagnetic Air Vehicle. Prof. Roy is also a nation appointed member to the NATO Science and Technology Organisation working group on plasma actuator and signature technologies. He served as the Forum Technical Chair for SciTech in 2018, Technical Discipline Chair for the 2016 SciTech Plasma Dynamics & Lasers Conference. Prior to his academic career, he spent several years in industry.
EDUCATION
PhD, 1994, University of Tennessee, Knoxville
PROFESSIONAL MEMBERSHIPS AND FELLOWSHIPS
American Institute of Aeronautics and Astronautics, Associate Fellow 2001
The American Society of Mechanical Engineers, Fellow 2004
Royal Academy of Engineering, Distinguished Visiting Fellow 2013
Royal Aeronautical Society, Fellow 2015
National Academy of Inventors, Inducted Fellow 2021
RESEARCH INTERESTS
Computational Fluid Dynamics and Heat Transfer, Hypersonics, Magnetogasdynamics, Plasma Based Flow Control, Electric Propulsion, and Micro/Nanoscale Flows.
HONORS AND AWARDS
Best Contributed Theoretical Paper for paper “Data Generation with PROSPECT: a Probability Specification Tool” at the Winter Simulation Conference. 12/2021
Frank Anger Memorial Award for crossover of ideas between the SIGSOFT (software engineering) and SIGBED (embedded systems) communities. 05/2017
Best Paper Award for paper “Challenges in Physical Modeling for Adaptation of Cyber- Physical Systems” at the Third IEEE World Forum on the Internet of Things. 12/2016
Gold Medal in the ACM Student Research Competition at MODELS 2015 for paper “Architectural and Analytic Integration of Cyber-Physical System Models.” 10/2015
ACM SIGSOFT Distinguished Paper Award for paper “Architectural Abstractions for Hybrid Programs” at the 18th International Symposium on Component-Based Software Engineering (CBSE), CompArch 2015. 05/2015
EDUCATION
Ph.D., Software Engineering, Carnegie Mellon University, School of Computer Science, Institute for Software Research, 2019
MS, Software Engineering, Carnegie Mellon University, School of Computer Science, Institute for Software Research, 2014
Specialist degree (with honors), Applied Mathematics and Computer Science, Lomonosov Moscow State University, 2011
Prof. John K. Schueller received his Ph.D. from Purdue University in 1983. He is a generalist with some concentration in manufacturing and in off-highway vehicles and equipment. He is a Fellow of ASABE, IAABE, and SAE and holds Founder, Life, and/or Senior Member status in ASME, EurAgEng, IEEE, ISAE, and SME. Prof. Schueller is the Chair Editor-in-Chief of Computers and Electronics in Agriculture and serves on the Management Committee of the Club of Bologna. His awards, including the Kishida, Magoon, Pinckney, Teetor, and Vasey, have primarily been for his work in high-speed machining of metal alloys, precision agriculture, international activities, and teaching. He has previously been employed by Gilson Brothers Company, Purdue University, Texas A&M University, Caterpillar, Universiti Putra Malaysia, Hochschule für Technik und Wirtschaft Dresden, and Kyoto University.
Education
Ph.D., 1983, Purdue University
Professional Memberships and Fellowships
American Society of Engineering Education, Member
American Society of Mechanical Engineers, Member
Institute of Electrics and Electronics Engineers, Member
Society of Automotive Engineers, Fellow 2003
Society of Manufacturing Engineers, Member
American Society of Agricultural and Biological Engineers, Member
Teaching Interests
controls, manufacturing, mechatronics, off-highway vehicles
Research Interests
manufacturing, off-highway vehicles, precision agriculture
Jane Shin is an assistant professor in the Mechanical and Aerospace Engineering Department at the University of Florida. She received the M.S. and Ph.D. degrees in Mechanical Engineering from Cornell University and the B.S. degree in Naval Architecture and Ocean Engineering from Seoul National University.
During her PhD, she closely collaborated with the Naval Surface Warfare Center at Panama City (NSWC PCD) on developing novel information-driven sensor path planning algorithms for underwater multi-target classification using side-scan sonar sensors. Her expertise is in developing sensor path planning algorithms based on information theory and machine learning methods applied to underwater acoustic imagery. She also has expertise in developing computationally efficient path planning algorithms based on computational geometry. She was selected as a Commercialization Fellow at Cornell in 2020.
EDUCATION
Ph.D., 2021, Mechanical Engineering, Cornell University
M.S., 2019, Mechanical Engineering, Cornell University
B.S., 2017, Naval Architecture and Ocean Engineering, Seoul National University
Professional Memberships and Fellowships
American Institute of Aeronautics and Astronautics, Member
Institute of Electrics and Electronics Engineers, Member
TEACHING INTERESTS
Control Theory, Underwater Robotics, Robotics Sensor Perception and Planning Algorithms
RESEARCH INTERESTS
Robotics Sensor Perception and Planning, Robot Motion and Path Planning, Information-driven Approaches, Underwater Robotics
Professor Xin Tang received his Post-doctoral training from Harvard University and Ph.D. from University of Illinois at Urbana-Champaign. His research centers at the interface of engineering, physics, chemistry, and biology. His lab studies cell and molecular mechanics in cancer, cardiovascular system, and neurons; unconventional mechano-electrophysiology; quantitative in vivo/vitro functional bio-imaging; AI/ML-powered bio-nanotechnology; and development of new biophysical tools to probe biological function/structure. His research is supported by NIH, NSF, AFOSR/DoD, UF Health Cancer Center, UF Opportunity Funds, and etc. He was awarded the NIH Maximizing Investigator’s Research Award (R35), American Association for Cancer Research (AACR) Tumor Microenvironment (TME) Junior Investigator, Researcher of the Year 2024 Award in the Department of Mechanical & Aerospace Engineering, NIH/NCI-designated UF Health Cancer Center Rising Star of the 2024 Year Award, and Faculty Advisor/Mentor of the Year 2025 Award in the Herbert Wertheim College of Engineering.
Education
Postdoc, 2017, Harvard University
Ph.D., 2013, University of Illinois at Urbana-Champaign
Teaching Interests
Active Soft Matter Biophysics; Biomechanics at Molecular, Cellular and Tissue Scales; Quantitative Optical Bio-imaging; Continuum Mechanics; and Finite-element Analysis
Research Interests
Biomechanics, Mechanobiology and Soft Matter: Cell and molecular mechanics in cancer development and metastasis, cardiovascular system, and neurons; unconventional mechano-electrophysiology; quantitative in vivo/vitro functional bio-imaging; bio-nanotechnology; and development of new biophysical tools to probe biological function/structure.
Recent Publications
Yin Xin, Keming Li , Miao Huang, Chenyu Liang, Dietmar Siemann, Lizi Wu, Youhua Tan, and Xin Tang, Biophysics in tumor growth and progression: from single mechano-sensitive molecules to mechanomedicine. 2023, Oncogene (Nature), https://www.nature.com/articles/s41388-023-02844-x.pdf.
Note: This article is selected as “The best of Oncogene 2023″.
Chenyu Liang, Qian Zhang, Xin Chen, Jiawei Liu, Mai Tanaka, Shu Wang, Sharon E. Lepler, Zeyuan Jin, Dietmar W. Siemann, Bo Zeng, and Xin Tang, Human cancer cells generate spontaneous calcium transients and intercellular waves that modulate tumor growth, Biomaterials (Impact Factor: 15.3), 2022, 290, 121823, https://www.sciencedirect.com/science/article/pii/S014296122200463X.
Chenyu Liang, Miao Huang, Tianqi Li, Lu Li, Hayley Sussman, Yao Dai, Dietmar W. Siemann, Mingyi Xie, and Xin Tang, Towards an integrative understanding of cancer mechanobiology: calcium, YAP, and microRNA under biophysical forces, Soft Matter (Impact Factor: 4.1), 2022,18, 1112-1148, https://pubs.rsc.org/en/content/articlelanding/2022/sm/d1sm01618k
Lawrence Ukeiley is currently a Professor in the Mechanical and Aerospace Engineering Department at the University of Florida. His primary research interests are in experimental fluid dynamics and turbulence as related to flow control, aeroacoustics, fluid structure interactions and the development of low order models. He received his B.S. in Mechanical Engineering from Alfred University in 1989 and his MS and PhD in Mechanical Engineering from Clarkson University in 1992 and 1996 respectively. Since graduating with his doctorate he has held positions at BEAM Technologies (Research Scientist), NASA Langley Research Center (NRC Post-Doctoral Associate) and the Jamie Whitten National Center for Physical Acoustics at the University of Mississippi (Research Scientist and Research Assistant Professor) before joining the faculty at UF. Dr. Ukeiley is an active member in many professional society and has served on the Technical Committees in both the AIAA and ASME.
Education
Ph.D., 1996, Clarkson University
Professional Memberships and Fellowships
American Association of Aeronautics and Astronautics, Member
American Physical Society, Member
The American Society of Mechanical Engineers, Fellow 2018
Sigma Xi, Member
Teaching Interests
Fluid Dynamics, Aerodynamics, Experimental Methods
Research Interests
Fluid Mechanics, Experimental Methods, Turbulence, Aeroacoustics, Flow Control, Reduced Order Modeling, Bio-Inspired Low Reynolds Number Fluid Dynamics, Fluid Structure Interactions
Yu Wang is an Assistant Professor at the Department of Mechanical and Aerospace Engineering at the University of Florida (UF) and the Group Lead of Autonomous and Connected Vehicles of the UF Transportation Institute. He was a Postdoctoral Researcher at the Department of Electrical and Computer Engineering at Duke University. He received his Ph.D. in Mechanical Engineering and M.S. in Statistics and Mathematics from the University of Illinois at Urbana-Champaign (UIUC). His research focuses on assured autonomy, cyber-physical systems, machine learning, and formal methods. This work on statistical verification of hyperproperties for cyber-physical systems was selected as one of the Best Paper Finalists of the ACM SIGBED International Conference on Embedded Software (EMSOFT) in 2019.
Professional Memberships and Fellowships
American Physical Society, Member
Professor Wiens is currently conducting research in the area of human-robot collaboration for smart factory, integrating AI with robot control in providing augmented intelligence of robots interacting with humans, other robots and machines. She has also been conducting research in the areas of intelligent and autonomous robotic systems, innovative mechanisms and controls for automation, space robotics/small satellites, manufacturing and micro-electro-mechanical systems. She has theoretical and experimental expertise in dynamics and controls of flexible multibody systems; system identification; design and control of robots using intelligent, event-driven, and physics-based modeling techniques; sensor-enabled dynamic (active) fixturing for micro/mesoscale manufacturing systems; system automation; modeling and design of MEMS devices; and design, path-planning, dynamics and control of reconfigurable, cooperative multi-robotic systems.
Her research is/has been supported by Lockheed Martin Corporation, DARPA, NSF, NASA, SNL, Hammond Machinery, Inc., Harris Corporation, PhaseSpace Corp., and others.
In 2010, Professor Wiens served as a National Research Council supported Senior Research Associate at the AFRL/RVSV-Kirtland AFB conducting research on small satellite telescopes integrating the design of the deployable structures (mechanisms) with the optics. In 2013-2015, Professor Wiens was the ASME Foundation Swanson Fellow/AAAS Fellow. As fellow, she was appointed to the Advanced Manufacturing National Program Office (AMNPO/NIST) as the Assistant Director for Research Partnerships responsibilities included chairing Interagency Working Team for planning and coordination of federal advanced manufacturing activities and policy documents, providing coordination for the Advanced Manufacturing Partnership 2.0 (sub-committee of the U.S. President’s Council of Advisors on Science and Technology), and staff support for the National Science and Technology Council (NSTC) subcommittee on Advanced Manufacturing. In 2016, she was awarded the United States Department of Commerce, Certificate of Appreciation – from Secretary Penny Pritzker. In 2016-2017, Professor Wiens served as the FloridaMakes Director of Advanced Manufacturing – BRIDG.
Education
Ph.D., 1986, University of Michigan
Professional Memberships and Fellowships
American Association for the Advancement of Science, Fellow 2013
The American Society of Mechanical Engineers, Fellow 2012
Teaching Interests
Robotics, Kinematics and Vibrations
Research Interests
Robotics, Spatial Mechanisms, System Dynamics, Controls, and Automation.