Uduak Inyang-Udoh

Uduak Inyang-Udoh is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan, affiliated with the Autonomous & Intelligent Systems (AI-Sys) Lab. Her research focuses on control theory, graph theory, and physics-guided machine learning applied to data-rich advanced manufacturing, thermal systems, and energy storage.

• Education: PhD (Rensselaer Polytechnic Institute, 2021), BSc (University of Lagos, 2016)
• Research Areas: Controls, Energy, Manufacturing, Mechatronics & Robotics
• Email: udinyang@umich.edu

Research interests integrate theoretical frameworks with practical applications in real-time optimal control, nonlinear system analysis, and additive manufacturing optimization. Her group has published extensively in control algorithms, thermal management systems, and data-driven industrial processes.

Recent publications highlight advancements in neural co-state regulators, hybrid thermal control systems, and machine learning integration in droplet-based manufacturing. She emphasizes control theory applications to complex systems with input constraints and transient dynamics.

• Scientific Awards
  • ASME Dynamic Systems and Control Division Rising Star Award (2022)
  • ASME Rudolf Kalman Best Paper Award (2024)

Mentoring style prioritizes student ownership of projects, collaborative peer mentoring, and structured progress reporting. Funding supports conference attendance (ACC, MECC) through travel grants and lab resources. Lab policies balance research productivity with vacation periods during academic breaks.