Syed Izzat Ullah

Graduate Research Assistant @Texas A&M University-Corpus Christi

TX, US

My work focuses on developing risk-aware motion planning algorithms for multi-robot systems, including both ground and aerial vehicles. These algorithms address collision avoidance with both static and dynamic obstacles, accounting for cooperative and non-cooperative agents. I use a hybrid approach that combines traditional motion planning techniques for safety with machine learning methods to enable adaptive behavior in dynamic, unknown, or partially observed environments. Additionally, my research emphasizes knowledge sharing and transfer learning to enhance collaboration between robots.

Udacity

nanodegree, Intro to Self-Driving Cars

Texas A&M University-Corpus Christi

Doctor of Philosophy - PhD, Computer Science

Lahore University of Management Sciences

Masters of Science, Electrical and Electronics Engineering

Balochistan University of Information Technology, Engineering and Management Sciences Quetta

Bachelor of Science - BS, Electrical (Communication) Engineering

Udacity

Nanodegree Program, Robotics Software Engineer

Udacity

Nano-Degree, Flying Car & Autonomous Flight Engineer