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Naomi Ehrich Leonard
Naomi Ehrich Leonard
Naomi Ehrich Leonard is Chair and Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and associated faculty in Applied and Computational Mathematics and in Biophysics at Princeton University. She is also affiliated faculty at the Princeton Neuroscience Institute and Founding Editor of the Annual Review of Control, Robotics, and Autonomous Systems. She received her BSE in Mechanical Engineering from Princeton University and her PhD in Electrical Engineering from the University of Maryland. She is a MacArthur Fellow, member of the American Academy of Arts and Sciences, and fellow of the IEEE, SIAM, IFAC, and ASME. She is the recipient of the 2023 IEEE Control Systems Award and the 2017 Hendrik W. Bode Lecture Prize. Her current research focuses on control, dynamics, and learning for multiagent systems on networks with application to multi-robot teams, human-robot systems, collective animal behavior, and other networked systems in technology, nature, and the arts.
Rodolphe Sepulchre
Rodolphe Sepulchre
Rodolphe Sepulchre is professor of engineering at the KU Leuven (Belgium) and at the University of Cambridge (UK).He is a fellow of IFAC (2020), IEEE (2009), and SIAM (2015). He received the IEEE CSS Antonio Ruberti Young Researcher Prize in 2008 and the IEEE CSS George S. Axelby Outstanding Paper Award in 2020. He was elected at the Royal Academy of Belgium in 2013. He is Editor-in-Chief of IEEE Control Systems. He co-authored the monographs Constructive Nonlinear Control (1997, with M. Jankovic and P. Kokotovic) and Optimization on Matrix Manifolds (2008, with P.-A. Absil and R. Mahony). His current research interests are focused in nonlinear control, with a focus on the feedback control principles of neuronal and neuromorphic circuits. His research is currently funded by the ERC advanced grant SpikyControl (2023-2028).
Fernando Castaños
Fernando Castaños
Fernando Castaños has been a Professor at the Automatic Control Department at Cinvestav-IPN, Mexico, since 2011. He was a visiting researcher at Inria Grenoble Rhone-Alpes and the University of Liege in 2023 and 2024, respectively. He was a postdoctoral fellow at McGill's Center for Intelligent Machines from 2009 to 2011. He is an associate editor for the International Journal of Robust and Nonlinear Control. His research interests are nonsmooth systems, passivity-based control, nonlinear control, and robust control.
Shinkyu Park
Shinkyu Park
Shinkyu Park is an Assistant Professor of Electrical and Computer Engineering and Principal Investigator of Distributed Systems and Autonomy Group at King Abdullah University of Science and Technology (KAUST). Prior to joining KAUST, he was Associate Research Scholar at Princeton University engaged in cross-departmental robotics projects. He received the Ph.D. degree in electrical engineering from the University of Maryland College Park in 2015. Later he held Postdoctoral Fellow positions at the National Geographic Society (2016) and Massachusetts Institute of Technology (2016-2019). He is a recipient of 2022 O. Hugo Schuck Best Paper Award (Theory) from the American Automatic Control Council (AACC).
Charlotte Cathcart
Charlotte Cathcart
Charlotte Cathcart is a Ph.D. Candidate in the Department of Mechanical and Aerospace Engineering at Princeton University. She is interested in feedback control, robots that move, and how people think. Charlotte’s research focuses on designing control strategies that leverage bifurcation theory and bio-inspired decision-making mechanisms to encourage collaboration in human-robot navigation interactions.
Andreagiovanni Reina
Andreagiovanni Reina
Andreagiovanni Reina is a Research Group Leader of the Centre for the Advanced Study of Collective Behaviour of the University of Konstanz and Max Planck Institute of Animal Behavior, Germany. His research is highly interdisciplinary in both its scope and its methodology, with numerous contributions to a variety of disciplines, including computer science, robotics, theoretical biology, physics, cognitive neuroscience and psychology. Andreagiovanni's interdisciplinary approach consists of combining techniques from dynamical systems theory, statistical physics, network science, statistical optimality theory, multiagent simulation and large-scale robotics. Andreagiovanni has been a Research Fellow in Collective Behaviour at the Interdisciplinary Institute for Artificial Intelligence (IRIDIA) of the Université Libre de Bruxelles, funded by the Belgian F.R.S.-FNRS as a Chargé de Recherches. Previous to that, Andreagiovanni was a Research Fellow at the University of Sheffield (UK) from 2015 to 2020. He holds a PhD in Applied Sciences from IRIDIA, Université Libre de Bruxelles, and an MSc in Computer Engineering from Politecnico di Milano, Italy. He has been a researcher in several European projects on distributed robotic systems since 2009.
Nak-seung Patrick Hyun
Nak-seung Patrick Hyun
Nak-seung Patrick Hyun is an assistant professor in Electrical and Computer Engineering at Purdue University. His research focuses on the control-theoretic aspects of bio-inspired robots, emphasizing systems with extreme behaviors, such as flapping vehicles and impulsive systems. He is interested in the broad range of nonlinear control, including optimization-based control, geometric control, and contraction-based control. His research program provides a cyclic learning cycle between biology, mathematical system theory, and robotics. He was formerly a research associate at the Harvard Microrobotics Laboratory, hosted by Robert J. Wood. He received a Ph.D. in electrical and computer engineering in 2018, an M.S. degree in mathematics in 2013, and an M.S. degree in electrical engineering in 2013 from the Georgia Institute of Technology. His previous research at Georgia Tech addresses a new framework of causal modeling of impulsive systems and optimal safe path planning for multi-agent systems.
Guillaume Drion
Guillaume Drion
Guillaume Drion is a professor of systems and control and founder of the Laboratory of Neuroengineering at the University of Liège, Belgium. He holds an MSc in Electrical Engineering and a PhD in Biomedical Engineering and Pharmaceutical Sciences from the University of Liège, and was a Swartz Postdoctoral Fellow at the Marder Lab, Brandeis University, US from 2014 to 2015. His research interests include computational and experimental neuroscience, control engineering, nonlinear systems dynamics and machine learning. His research group focuses on deciphering the core mechanisms of neuron signaling and neuromodulation, as well as on exploiting these mechanisms for the design of novel adaptive control methods for intelligent systems.
Thiago Burghi
Thiago Burghi
Thiago B. Burghi is a post-doctoral researcher in the Control Group of the Department of Engineering at the University of Cambridge. In 2022, he received a 3-year Kavli Foundation research grant to study estimation and control algorithms for biological neuronal circuits. Previously, he received the Diplome d’Ingenieur from ENSTA ParisTech, France, in 2012, and the B.Sc and M.Sc in Control Engineering and Mechanical Engineering, respectively, from the University of Campinas, Brazil, in 2015. He completed his Ph.D in 2020 at the University of Cambridge. His research interests lie at the interface between nonlinear control theory, system identification, and artificial and biological neural systems
Haimin Hu
Haimin Hu
Haimin Hu is a final year PhD candidate at Princeton ECE advised by Professor Jaime Fernández Fisac. His research is at the intersection of robotics, game theory, and machine learning with applications to safety-critical multi-agent planning tasks such as human-robot inter- action, autonomous driving, and air traffic control. Prior to his doctoral study, he received his M.S.E. degree in Electrical Engineering from the University of Pennsylvania in 2020 and a B.E. degree in Electronic and Information Engineering from ShanghaiTech University in 2018. From 2017 to 2018, he was a visiting student in the EECS Department at the University of California, Berkeley. He has also interned at the Toyota Research Institute (TRI), Honda Research Institute (HRI), and the National Institute for Nuclear Physics (INFN) at Padova. He currently serves as an associate editor for the IEEE Robotics and Automation Letters and a reviewer for over 19 journals and conferences. He was selected as a Human-Robot Interaction Pioneer in 2024.
Juncal Arbelaiz
Juncal Arbelaiz
Juncal Arbelaiz is a Schmidt Science Postdoctoral Fellow and a C.V. Starr Fellow at Princeton University, affiliated with the Mechanical & Aerospace Engineering (MAE) department, with the Center for Statistics and Machine Learning (CSML), and with the Princeton Neuroscience Institute (PNI). Previously, she received her Ph.D. degree in applied mathematics from the Massachusetts Institute of Technology (MIT), in September 2022. Her research interests are in optimal decentralized control and estimation of spatially distributed systems, with a focus on systems with spatiotemporal dynamics. More recently, she has been working on applying spiking control systems to soft robotics and collaborating with neuroscientists in problems related to statistical inference.
Dr. Arbelaiz was honored as a Rising Star in EECS in 2021. She was the recipient of a Hugh Hampton Young Memorial Fellowship from the Office of Graduate Education at MIT twice (2020 & 2021). She has been recognized as a McKinsey Next Generation Women Leader (2020), Rafael del Pino Excellence Fellow (2019), Google Anita Borg Fellow (2018), a National Awardee for Academic Excellence of the Government of Spain (2018), a la Caixa Foundation Fellow (2017) and a MIT Presidential Fellow (2016). She was a Young Author Awardee finalist at Necsys 2022 and the recipient of the inaugural APARTAK award in 2023 -- honoring pioneering women of the Basque Country.
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