Adeel Akhtar

Adeel Akhtar serves as a tenure-track Assistant Professor at the New Jersey Institute of Technology (NJIT), specializing in control theory and robotics. His academic journey includes postdoctoral research at KAUST, the Hybrid System Lab in the Department of Electrical and Computer Engineering at the University of California Santa Cruz, and cross-appointed positions at the University of Toronto and Queen's University.

His educational background features:

• Ph.D. in Mechanical and Mechatronics Engineering from the University of Waterloo
• M.A.Sc. in Electrical and Computer Engineering (Controls and Robotics) from the University of Waterloo

Dr. Akhtar's research centers on nonlinear and geometric control methodologies for complex dynamical systems. He actively develops physics-informed learning approaches for hybrid systems and manifolds, integrating fundamental physical laws with data-driven algorithms to enhance safety guarantees in autonomous systems. Current work focuses on Taylor-neural Lyapunov functions and physics-informed neural networks for robust control synthesis.

As an SEC scholar (June 1–August 5, 2025), he collaborates with Matthieu Barreau at KTH on novel control algorithms for hybrid dynamical systems. His research aims to bridge theoretical guarantees with practical implementation in uncertain environments through physics-informed neural Lyapunov frameworks.

No information regarding student supervision, grant funding, laboratory facilities, or research teams was provided in the source material.