Director
Silvia Ferrari
Curriculum Vitae (CV)
Silvia Ferrari is the Associate Dean for Cross-Campus Engineering Research and the John Brancaccio Professor of Mechanical and Aerospace Engineering at Cornell University. Prior to that, she was Professor of Engineering and Computer Science at Duke University, and Founder and Director of the NSF Integrative Graduate Education and Research Traineeship (IGERT) and Fellowship program on Wireless Intelligent Sensor Networks (WISeNet). Currently, she is the Director of the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University, and her principal research interests include robust adaptive control of aircraft, learning and approximate dynamic programming, and optimal control of mobile sensor networks. She received the B.S. degree from Embry–Riddle Aeronautical University and the M.A. and Ph.D. degrees from Princeton University. She is a senior member of the IEEE, and a member of ASME, SPIE, and AIAA. She is the recipient of the ONR young investigator award (2004), the NSF CAREER award (2005), and the Presidential Early Career Award for Scientists and Engineers (PECASE) award (2006). Email: ferrari@cornell.edu
Members
Hewenxuan (Vincent) Li
Hewenxuan is a postdoctoral associate in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his Ph.D. degree in Mechanical Engineering and Applied Mechanics from University of Rhode Island. His research interests include nonlinear dynamics and control, deep learning’s application in complex dynamics and control, and health monitoring of nonlinear systems. His current focus at LISC is nonlinear control of flapping wing micro aerial vehicle and information-driven underwater perception. He is a member of ASME and SEM and best paper awardee of the ASME IDETC/CIE conference (2019). Email: hewenxuan.li@cornell.edu
Qingze Huo
Qingze Huo is a Ph.D. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his M.S. degree in Mechanical Engineering from Northwestern University. Prior to that, he received his B.S. degree in Engineering Mechanics from Dalian University of Technology. His research interests include computer vision, machine learning and optimal control. Email: qh223@cornell.edu
Andre Paradise
Andre Paradise is a Ph.D. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his B.S. degree in Mechanical Engineering from the University of California–Irvine in 2020, where he was an undergraduate researcher for the Computational Environmental Sciences (CES) Laboratory. His research interests include intelligent path planning and control, computer vision, extended reality (XR), and smart city integration. Email: aap254@cornell.edu
Frank Kim
Frank Kim is a Ph.D. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University.
He received M.S. in Mechanical Engineering from University of Michigan, Ann Arbor and B.S. in Mechanical Engineering from Korea Advanced Institute of Science and Technology (KAIST). His research focuses on machine learning and robotics. Email: ck766@cornell.edu
Sushrut Surve
Sushrut Surve is a PhD student in the Laboratory of Intelligent Systems and Controls (LISC) at Cornell University. He graduated from the Indian Institute of Technology, Gandhinagar (IITGN), with a bachelor’s in Mechanical Engineering and Minors in Electrical Engineering and Robotics. He was a research intern at the University of Washington, Seattle, and has been the SAE eBAJA team captain at IITGN. He is interested in exploring robotics at the confluence of dynamics, control theory, optimization and estimation. Email: ss4248@cornell.edu
Xinyu Fang
Xinyu Fang is a PhD student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He graduated from the Ohio State University, Columbus OH (OSU) with a bachelor’s degree in chemical engineering. He is interested in exploring the fields of neuroscience, controls, and machine learning. Email: xf223@cornell.edu
Saksham Kaushik
Saksham Kaushik is an M.S. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He graduated from the Indian Institute of Technology, Kanpur (IITK) with a bachelor’s degree in mechanical engineering. He is interested in exploring the fields of robotics, controls, and machine learning. Email: sk2482@cornell.edu
Daniel Farkash
Daniel Farkash is an Undergraduate student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He previously worked for the Autonomous Mobile Robotics Laboratory at the University of Texas at Austin and as a Head TA for Cornell’s Machine Learning class (CS 4780). His research interests include Machine Learning, Computer Vision, Robotics, and Networks. Email: dmf248@cornell.edu