
معرفی
Amit K. Sanyal is an Associate Professor at Syracuse University, affiliated with the Autonomous Unmanned Systems Laboratory (AUSL) at the Syracuse Center of Excellence. His research focuses on geometric mechanics and control systems, particularly in the context of autonomous vehicles and robotics. He holds a Ph.D. in Aerospace Engineering from the University of Michigan, along with multiple advanced degrees in Mathematics and Aerospace Engineering from prestigious institutions.
Education:
- Ph.D. in Aerospace Engineering, University of Michigan
- MS in Mathematics, University of Michigan
- MS in Aerospace Engineering, Texas A&M University
- B. Tech., Indian Institute of Technology, Kanpur
Research Interests:
Dr. Sanyal's expertise spans geometric mechanics, nonlinear control systems, and the development of robust control strategies for autonomous systems. His work emphasizes the design of stable and reliable guidance, navigation, and control systems for aerospace vehicles and autonomous platforms. Key areas include:
- Geometric control of nonlinear systems
- Autonomous vehicle dynamics and control
- Attitude estimation and stabilization
- Robotics applications in aerospace engineering
Recent Publications:
Dr. Sanyal's recent work focuses on geometric control theory, finite-time stabilization, and observer design for autonomous systems. He has contributed to advancements in attitude control, nonlinear systems, and real-time learning algorithms, with applications in rotorcraft, spacecraft, and multi-agent formations.
Honors and Awards:
- Distinguished Graduate Student Masters Research Award (Texas A&M University, 2001)
- Senior Member, AIAA and IEEE (2015)
- Associate Fellow, AIAA (2021)
- Visiting Faculty Research Fellow, Air Force Research Laboratory (2024)
Grants and Research:
Dr. Sanyal has led and collaborated on several research initiatives, including:
- NSF-DST grant on multi-UAV autonomous operations ($453,372, 2024–2027)
- NSF-funded wildland fire management project ($536,983, 2022–2025)
Labs/Teams:
He directs the Autonomous Unmanned Systems Laboratory (AUSL), focusing on technologies for safe and reliable autonomous systems.
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