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
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
Cong Liu
Cong Liu is an M.S. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his bachelor’s degree in Mechanical Engineering from the joint school of University of Leeds and Southwest Jiaotong University. His research interests include computer vision, robotics, and control. Email: cl997@cornell.edu
Kyung Rak Jang
Kyung-Rak Jang is an M.S. student in the Laboratory for Intelligent Systems and Controls(LISC) at Cornell University. He received B.S. in Mechanical Engineering from the University of Washington, Seattle. Upon graduating, he worked at TÜV SÜD as an Automotive engineer for three years. His research interests include computer vision, machine learning and robotics. Email: kj253@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
Suming Qiu
Suming Qiu is an M.S. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his Bachelor of Science degree in Theoretical and Applied Mechanics from Lanzhou University. His research interest includes friction, robotics, control, and machine learning. Email: sq87@cornell.edu
Vaibhav Bisht
Vaibhav Bisht is an MS student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He graduated from Vellore Institute of Technology with a Bachelor’s in Mechanical Engineering in 2021. As an undergraduate student, Vaibhav participated in BAJA SAE California and conducted research in Industry 4.0, automotive controls, and computer vision. He currently focuses on autonomous navigation, control systems, machine learning and optimization. Email: vb268@cornell.edu
Yuhan Wang
Yuhan Wang is an M.S. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his B.S. degree in Mechanical Engineering, with a Mechatronics minor, from Villanova University in May 2021. He was in the formula SAE team working on body-frame, powertrain and control system of the car. He interned in R&D department in Johnson&Johonson and L3Harris Technology. Now his research interests transit into machine learning and computer vision (Including perception and path-planning) in autonomous driving field. Email: yw782@cornell.edu
Jovan Menezes
Jovan Menezes is an M.S. student in the Laboratory for Intelligent Systems and Controls (LISC) at Cornell University. He received his Bachelor of Engineering degree in Mechanical Engineering from Mumbai University. His research interests include application of augmented reality, deep learning based computer vision, and control theory to develop Intelligent robots. Email: jcm483@cornell.edu
Madhav Gupta
Madhav Gupta is an M.S. Mechanical Engineering student at LISC, Cornell University. He completed his Bachelor’s in Mechanical Engineering from Manipal University and has worked in the automotive industry. His interests include deep learning-based computer vision, control theory, and machine learning. Email: mg967@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