ROBOTICS - Key Persons
Job Titles:
- Assistant Professor
- Researcher
Alum Serban Sabau joins Stevens Institute as assistant professor
Serban Sabau will be postdoctoral researcher at University of Pennsylvania
Alum Xiaobo Tan named to Richard M. Hong Endowed Chair at MSU
At Maryland, Tan was advised by Professor John Baras and Professor P. S. Krishnaprasad.
Alum Xiaobo Tan named 'Foundation Professor' at Michigan State
Tan develops bio-inspired underwater robots, electroactive polymer sensors and actuators.
Avis Cohen is co-PI on NSF neuromechanics and dynamics of locomotion grant
Job Titles:
- Lockheed Martin Chair in Systems Engineering / Founding Director, Institute for Systems Research, 1985 - 1991
Job Titles:
- Distinguished Term Professor
Job Titles:
- Professor and Associate Chair for External Affairs
Job Titles:
- Professor / Mechanical Engineering
Job Titles:
- Senior RF Design Engineer
Job Titles:
- Associate
- Research Scientist
Shrestha, D., D.J. Lovell, and Y. Tripodis (2017). Hardware and software for collecting microscopic trajectory data on naturalistic driving behavior. Journal of Intelligent Transportation Systems, 21(3), 202-213.
David Lovell has a B.A. in mathematics from Portland State University and M.S. and Ph.D. degrees in Civil Engineering from the University of California, Berkeley. He has worked in transportation consulting and was a combat engineer with the U.S. Marine Corps. His research interests include facility design, management, and control; computational and differential geometry; numerical methods; and the probabilistic structure of sports and tournaments.
Dr. Lovell is an affiliate of the Institute for Operations Research and the Management Sciences (INFORMS), the Transportation Research Board (TRB), the American Society of Civil Engineers (ASCE) and the Institute of Electrical and Electronics Engineers (IEEE).
Education
Ph.D., University of California, Berkeley, 1997
M.S., University of California, Berkeley, 1993
B.A., Portland State University, 1990
Honors and awards
ODK Leadership Fraternity, 2015
Poole & Kent Senior Faculty Teaching Award, 2014
EWB-USA Peter J. Bosscher Faculty Adviser Award, 2012
Clark School ENGAGED Faculty, 2011
CEE Department Faculty Service Award, 2009
Job Titles:
- Fellow
- Foreign Member of the Royal Swedish Academy of Engieering Sciences
- GAMMA Group 's Research on Emotional Modeling and Social Robotics Featured in Forbes
- Named Distinguished University Professor
- Paul Chrisman Iribe Chair
Dinesh Manocha is the Paul Chrisman Iribe Chair in Computer Science & Electrical and Computer Engineering and Distinguished University Professor at the University of Maryland College Park. He is also the Phi Delta Theta/Matthew Mason Distinguished Professor Emeritus of Computer Science at the University of North Carolina - Chapel Hill. He has won many awards, including Alfred P. Sloan Research Fellow, the NSF Career Award, the ONR Young Investigator Award, Google Faculty Awards, Facebook Faculty Awards, Alibaba Innovation Awards, and the Hettleman Prize for scholarly achievement. His research interests include multi-agent simulation, virtual environments, artificial intelligence, and robotics. His group has developed a number of packages for multi-agent simulation, GPU computing, and physics-based simulation that have been used by hundreds of thousands of users and licensed to more than 60 commercial vendors. He has published more than 600 papers and supervised more than 40 PhD dissertations. He is an inventor of 10 patents, several of which have been licensed to industry. His work has been covered by the New York Times, NPR, Boston Globe, Washington Post, ZDNet, as well as DARPA Legacy Press Release. He is a Fellow of AAAI, AAAS, ACM, and IEEE, member of ACM SIGGRAPH Academy, and Bézier Award from Solid Modeling Association. He received the Distinguished Alumni Award from IIT Delhi and the Distinguished Career in Computer Science Award from Washington Academy of Sciences. He was a co-founder of Impulsonic, a developer of physics-based audio simulation technologies, which was acquired by Valve Inc in November 2016. See http://www.cs.umd.edu/ dm
Manocha received his Ph.D. in computer science from the University of California, Berkeley, in 1992. He received his B. Tech. in computer science and engineering from the Indian Institute of Technology in Delhi, India, in 1987. He also received the Distinguished Alumni Award from the Indian Institute of Technology in Delhi, India.
Honors and Awards
University of Maryland Distinguished University Professor
Pierre Bézier Award
Fellow, Association for Computing Machinery (ACM)
Fellow, Institute of Electrical and Electronics Engineers
Fellow, American Association for the Advancement of Science
Fellow, Association for the Advancement of Artificial Intelligence
NSF CAREER Award
Office of Naval Research Young Investigator Award
Sloan Research Fellowship
IBM Fellowship
IGMOD IndySort Winner
Honda Research Award
UNC Hettleman Prize
Manocha receives the 2020 Pierre Bézier Award in recognition of his technically significant and lasting contributions in Solid, Geometric and Physical Modeling and their Applications.
Manocha has been recognized for his significant contributions to robotics and multi-agent simulation.
Maryland researchers awarded DARPA cooperative agreement to develop robotic swarm strategies
Maryland's is among the first "core swarm sprints" projects awarded in DARPA's OFFensive Swarm-Enabled Tactics (OFFSET) program.
Manocha has received the highest honor bestowed on tenured faculty members at the University of Maryland.
Job Titles:
- Capital One Endowed Professor
Job Titles:
- MATRIX Lab Welcomes Associate Research Professor
Job Titles:
- Associate Professor
- Professor in the Department of Mechanical Engineering
- Promoted to Full Professor
Dr. Nikhil Chopra is a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park, with an affiliate appointment in the Department of Electrical and Computer Engineering. Before joining the University of Maryland, he was a Postdoctoral Research Associate in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign from 2006-2007. He received a Bachelor of Technology (Honors) degree in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, India, in 2001, an M.S. degree in General Engineering in 2003, and a Ph.D. degree in Systems and Entrepreneurial Engineering in 2006 from the University of Illinois at Urbana-Champaign. His research is broadly in systems, control, and robotics. Current research interests include the estimation and control of robotic systems, soft robotics, bilateral teleoperation, and machine learning. He is the co-author of the book Passivity-Based Control and Estimation Networked Robotics. He was previously the Co-Chair of the IEEE Technical Committee on Telerobotics. He was previously an Associate Editor of Automatica, IEEE Transactions on Control of Network Systems, and IEEE Transactions on Automatic Control.
Chopra will investigate the resilience of human-controlled robotic networks to cyber attacks.
Nikhil Chopra named to editorial board of leading systems and control journal
Chopra will be an associate editor of IEEE Transactions on Automatic Control.
Nikhil Chopra receives NSF grant for wireless sensor and robotic networks
Job Titles:
- MRC Advisory Board Secretary, CTO & Co - Founder
Visionary choreographer Huang Yi performs at Maryland, visits Robot Realization Lab
Yi programs a KUKA industrial robot to dance with humans in his work.
Baras honored for his technical contributions and commercialization leadership of Internet over satellite, hybrid satellites, and terrestrial networks.
Baras created algorithms and protocols by which Internet services can be delivered over satellite.
Doctoral student Kaustubh Joshi delivered a presentation on modernizing the industry with advanced tech.
Job Titles:
- Clark Distinguished Chair / Director of Industrial Artificial Intelligence Center
Job Titles:
- Postdoc Research Associate
Job Titles:
- Director of Gemstone Honors Program
Manocha discusses his research on robot planning, human-robot interaction, and autonomous driving.
Job Titles:
- Paul Chrisman Iribe Professor of Computer Science
Yu develops sensors useful in a variety of robotics applications.
Job Titles:
- Engineer at the University of Maryland
Nuno C. Martins graduated with a M.S. degree in Electrical Engineering from I.S.T., Portugal, in 1997, and a Ph.D. degree in Electrical Engineering and Computer Science with a minor in Mathematics from Massachusetts Institute of Technology (MIT), Cambridge, in 2004. He has also concluded a Financial Technology Option program at Sloan School of Management (MIT) in 2004.
He is Professor of Electrical Engineering in the Electrical and Computer Engineering Department of the University of Maryland, where he also holds a joint appointment with the Institute for Systems Research. He was Director of the Maryland Robotics Center from 2012 until 2014.
He served as Associate Editor for Systems and Control Letters (Elsevier), Automatica and the IEEE Control Systems Society Conference Editorial Board. He was also a program Vice-Chair for the IEEE Conference on Decision and Control in 2013 and 2014.
Honors and awards
Prof. Martins received the 2006 American Automatic Control Council O. Hugo Schuck Award, a National Science Foundation CAREER Award in 2007, the 2008 IEEE CSS Axelby Award for the best paper in the IEEE Transactions on Automatic Control, the 2010 Outstanding ISR Faculty Award, the 2010 George Corcoran Award from the ECE Department / UMD and he was an UMD/ADVANCE Leadership Fellow in 2013.
His research interests are in control theory, distributed control, team decision, optimization, networked control and communications, estimation and information theory.
Dr. Jay Lee is Clark Distinguished Chair Professor and Director of Industrial AI Center in the Mechanical Engineering Dept. of the Univ. of Maryland College Park. His current research is focused on developing non-traditional machine learning including transfer learning, domain adaptation, similarity-based machine learning, stream-of-x machine learning, as well as industrial large knowledge model (ILKM), etc. In addition, he is leading Data Foundry which consists of over 100 diversified industrial datasets including semiconductor manufacturing, jet engines, wind turbine, EVs, high speed train, machine tools, robots, medical TBI, etc. for industrial AI talent development. These datasets are also used to rapidly develop and validate Industrial AI system with scalable and systematic approaches.
Previously, he served as an Ohio Eminent Scholar, L.W. Scott Alter Chair and Univ. Distinguished Professor at Univ. of Cincinnati. He was Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) during 2001-2019. IMS Center has developed research memberships with over 100 global company since 2000 and was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012. He mentored his students and developed a number of start-up companies including Predictronics through NSF iCorps in 2013. He has developed Dominant Innovation® methodology for product and service innovation design.
He was on leave from UC to serve as Vice Chairman and Board Member for Foxconn Technology Group during 2019-2021 to lead the development of Foxconn Wisconsin Science Park in Mt. Pleasant, WI (www.foxconnwiofficial.com). In addition, he advised Foxconn business units to successfully receive six World Economic Forum (WEF) Lighthouse Factory Awards since 2019.
He is a member of Global Future Council on Advanced Manufacturing and Production of the World Economics Council (WEF), a member of Board of Governors of the Manufacturing Executive Leadership Council of National Association of Manufacturers (NAM), Board of Trustees of MTConnect, as well as a senior advisor to McKinsey. Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (now Raytheon Technologies Research Center) during 1998-2000, as well as Program Director for a number of programs (including ERCs, I/UCRCs, and Materials Processing and Manufacturing Programs) at NSF during 1991-1998.
He is a fellow of ASME, SME, International Society of Engineering Asset Management (ISEAM), and Prognostics and Health Management (PHM) Society. He was selected as 30 Visionaries in Smart Manufacturing in by SME in Jan. 2016 and 20 most influential professors in Smart Manufacturing in June 2020, and has received SME Eli Whitney Productivity Award and SME/NAMRC S.M. Wu Research Implementation Award in 2022. His new book on Industrial AI was published by Springer in 2020. He is also a working group member for the recent Report on AI Engineering by NSF Engineering Research Visionary Alliance (ERVA) in 2024.
Job Titles:
- Fellow
- Professor in the Department of Electrical and Computer
Pamela Abshire is a Professor in the Department of Electrical and Computer Engineering and the Institute for Systems Research at the University of Maryland, College Park. Her areas of specialty are in the fields of VLSI circuit design and bioengineering. Dr. Abshire's research focuses on better understanding the tradeoffs between performance and resources in natural and engineered systems.
Prior to her arrival at the University of Maryland in November, 2001, she was a graduate student in the Sensory Communications and Microsystems Lab in the Department of Electrical and Computer Engineering at The Johns Hopkins University. Her advisor was Andreas G. Andreou, and her dissertation topic was Sensory Information Processing Under Physical Constraints. Her research interests include information theory for physical systems, noise theory for electronic, photonic, and biological systems, analysis and design of sensory information processing systems, and algorithm, VLSI circuit, and microsystem design, especially for low power applications. Dr. Abshire was born in Fayetteville, North Carolina, and grew up in the Roanoke Valley in southwestern Virginia. She graduated as valedictorian of the class of 1988 from Salem High School in Salem, VA. From 1985 to 1988 she also attended the Roanoke Valley Governor's School for Science and Technology in Roanoke, VA. She received her B.S. degree in Physics with Honor in 1992 from the California Institute of Technology in Pasadena, CA. Between 1992 and 1995 she worked as a Research Engineer in the Bradycardia Research Department of Medtronic, Inc. in Minneapolis, MN. In 1995 she began her graduate education in the Department of Electrical and Computer Engineering at The Johns Hopkins University. She received her M.S. degree in Electrical and Computer Engineering in 1997 and completed her Ph.D. degree in Electrical and Computer Engineering in October 2001.
Honors and awards
University of Maryland Distinguished Scholar-Teacher (2021)
University of Maryland ADVANCE Professor (2020-2021)
Fellow, Institute of Electrical and Electronics Engineers (2018)
Clark School of Engineering E. Robert Kent Junior Faculty Teaching Award (2011)
ISR Outstanding Systems Engineering Faculty Award, University of Maryland (2006)
University of Maryland Invention of the Year Award, Physical Sciences category, "Cell Sensor Based Pathogen Detection" (2005)
George Corcoran Award, ECE Department, University of Maryland (2004)
Distinguished Service Award, IEEE Washington Section (2004)
IEEE Women in Engineering Washington Area Affinity Group, Vice Chair (2004)
NSF Faculty Early Career Development (CAREER) Award (2003)
Co-Chair for Annual WIE Symposium (2003 and 2004)
Associate Editor, IEEE Transactions on Circuits and Systems II
Member of IEEE Circuits and Systems Society Technical Committees on Biomedical Circuits and Systems, Nanoelectronics and Gigascale Systems, Neural Systems and Applications, Sensory Systems
She holds a patent for Cell-based sensing: biological transduction of chemical stimuli to electrical signals (nose-on-a-chip)
S. Padmanabhan, J.Y. Han, I. Nanayankkara, K. Tran, P. Ho, N. Mesfin, I. White, D.L. DeVoe, "Enhanced sample filling and discretization in thermoplastic 2D microwell arrays using asymmetric contact angles," Biomicrofluidics, 14, 014113, 2020.
BIOE Professor Shawn He was elected to the EASA, recognized for the value of his research, innovation, and impact on a global scale.
Job Titles:
- General Manager for Autonomy and
Timothy Horiuchi is a co-author on the research published in IOP Bioinspiration & Biomimetics.
Ganguly, Fiaz, Suryan are first MRC GRA recipients
Fiaz's team won the award for "Outstanding Achievement in Robotic Orchestration."
Job Titles:
- MRC Advisory Board Chair, Principal Systems Engineer
Job Titles:
- Associate Chair of Research & Administration / Fischell Institute
- Professor and Associate Chair of Research & Administration
X. Jia, C J. Lee, Z Zhang, P. Radecki, J Lee. A Methodology for the early diagnosis of vehicle torque converter clutch degradation. 2019 IEEE International Conference on Automation Science and Engineering. IEEE, 2019.
Cai, Haoshu, Jianshe Feng, Qibo Yang, Fei Li, Xiang Li, Jay Lee, Reference-based Virtual Metrology Method with Uncertainty Evaluation for Material Removal Rate Prediction based on Gaussian Process Regression, The International Journal of Advanced Manufacturing Technology, 2021
Shahin Siahpour, Xiang Li, Jay Lee. Deep learning-based cross-sensor domain adaptation for fault diagnosis of electro-mechanical actuators. International Journal of Dynamics and Control. 2020.
Xiaodong Jia, Haoshu Cai, Yuanming Hsu, Wenzhe Li, Jianshe Feng, Jay Lee. A Novel Similarity-based Method for Remaining Useful Life Prediction Using Kernel Two Sample Test. Proceedings of the Annual Conference of the PHM Society. 2019, 10, 1.
Yancy Diaz-Mercado earned his Ph.D. from the Georgia Institute of Technology in 2016, and his M.S. from the same institution in 2014. He graduated magna cum laude in 2011 with a B.S. from the University of Puerto Rico at Mayaguez. He is the director of the Collaborative Controls and Robotics Laboratory, whose research focus is on developing collaborative autonomy for multi-agent systems, robotics, and enabling human-swarm interactions.