Aman Tiwary अमन तिवारी

I am a Ph.D. student in Electrical and Computer Engineering at the University of New Mexico, advised by Prof. Meeko Oishi. My research focuses on optimization-based motion planning and control for multi-agent robotic systems, with an emphasis on connectivity-constrained trajectory optimization and stochastic planning under uncertainty. I am broadly interested in developing scalable numerical algorithms that combine rigorous control theory with practical robotic deployment.

I received my M.S. in Mechanical Engineering from the University of Washington, where I was a Research Assistant in the Autonomous Controls Lab under Prof. Behçet Açıkmeşe. My thesis focused on perception-aware trajectory optimization for 3D scene reconstruction. I developed a convex optimization–based guidance framework that integrated active vision and dynamically feasible planning to enable high-resolution structural imaging and digital twin creation.

I am particularly interested in problems at the intersection of optimization, control, and intelligent autonomy — especially where mathematical structure enables real-world impact.

Feel free to explore the projects section to see some of my work. If you’d like to chat or collaborate, I’d love to hear from you! You can reach me via email.