M.S./Funded Ph.D. positions available
Masters (M.S.) and a funded Ph.D. position are available in the GALACxIS Laboratory at UC AEEM starting in Spring/Fall 2024. Click here for details.
Dr. Abhinav Sinha is an Assistant Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Cincinnati. Dr. Sinha directs the Guidance, Autonomy, Learning, and Control for Intelligent Systems (GALACxIS) Lab. He works at the intersection of control theory, artificial intelligence, and dynamical systems. His overarching research agenda revolves around the design and implementation of advanced strategies with the primary objective of ensuring the safety, robustness, fidelity, reliability, and increased autonomy in high-integrity aerospace and robotic missions, while minimizing or eliminating the need for human intervention.
Prior to joining the University of Cincinnati, Dr. Abhinav Sinha was a postdoctoral researcher affiliated with the Unmanned Systems Lab at The University of Texas at San Antonio. His prior research experience includes a brief postdoctoral fellowship at the Intelligent Systems & Control Lab, Department of Aerospace Engineering, Indian Institute of Technology Bombay. Dr. Sinha also holds the distinction of completing his Ph.D. degree in Aerospace Engineering from the Indian Institute of Technology Bombay in around two years, setting a record for the fastest completion of a Ph.D. in the Department of Aerospace Engineering and one of the fastest in the institute. He is also a recipient of the prestigious Naik and Rastogi Award for excellence in Ph.D. research. Dr. Sinha is a senior member of IEEE (including Control Systems Society, Aerospace and Electronic Systems Society, and many technical committees of Robotics and Automation Society), a member of IFAC, and is a senior member of AIAA. He also serves as a subcommittee chair for the IEEE TC on Manufacturing, Automation, and Robotic Control.
Addressing terminal constraints on the trajectory of an autonomous vehicle in addition to the primary objective of target interception.
Learn moreThe celebrated "the lady, the bandit, and the bodyguard" scenario. Our research offers a different viewpoint on this problem.
Learn moreBuilding safe, resilient and robust networked cyber-physical systems to ensure fully distributed cooperative behavior.
Learn moreInvestigating fundamental aspects in learning and control for an autonomous system, with an emphasis on learning in complex large-scale interconnected systems.
Learn moreMotion planning algorithms that handle uncertainties, adapt to dynamic environments, and maintain consistent performance under adverse conditions.
Learn moreUnleashing the future of airborne mobility and precision manipulation, and redefining the boundaries of aerial possibilities.
Learn moreAEEM 5115/6015 (Spring 2025)
AEEM 4042 (Fall 2024)
AEEM 2013 (Spring 2024)
AEEM 9074 (Reading Course)