Syed Izzat Ullah
Doctoral Student, Texas A&M University-Corpus Christi, USA
Howdy! I am a Ph.D. student in the department of Computer Science at Texas A&M University-Corpus Christi, working on Heterogenious Multi-UAVs Motion Planning Considering Obstacles and No-Fly Zones. I recieved my Masters degree in Electrical Engineering (Robotics & Control) from Lahore University of Management Sciences (LUMS), advised by Dr. Abubakr Muhammad.
Before my Ph.D., I was working as a Team Lead in the Control, Automotive and Robotics Laboratory (CARL), a part of the National Centre of Robotics and Automation (NCRA) consortium. From June 2019 to September 2019, I worked as a visiting researcher at the Robotics Research Lab (RRLab) at TU Kaiserslautern, Germany. My research Interests lie broadly in robotics, mainly in Motion Planning, Control, and Trajectory Optimization problems and I have good hands-on ROS, C++, Python, simulation environments such as CoppeliaSim, Gazebo, Unreal engine, and robotic platforms mainly crazyflie drones and VICON/Opti-track systems.
During my leisure time, I love spending time with my family.
News
I got 1st Place in oral presentation in the Engineering and Computer Science Category at 11th Annual MSGSO Research Symposium at Texas A&M University-Corpus Christi, TX, USA
Attended IEEE RAS Summer School on Multi-Robot Systems at Czech Technical University in Prague
I got 3rd place throughout the engineering and computer science category in the 18th Annual TAMUS Pathways Student Research Symposium
Our paper titled Coaxial Modular Aerial System and the Reconfiguration Applications is accepted to be published in ICRA 2023 to be held in London
Our work on autonomous navigation of snake robot was accepted at IEEE ICRAI 2023.
Our work on autonomous navigation of a UAV in canal-like environment was accepted at IEEE ICRAI 2023.
I gave an invited talk on the "development of a robot from scratch" in Undergrad STEM Education in Pakistan , organized by British Council and HEC Pakistan.
I started my Ph.D. in Computer Science department at Texas A&M University-Corpus Christi, Texas, USA.
Our work on Motion Planning for a Snake Robot using Double Deep Q-Learning, was accepted in ICAI 2021.
I joined Control, Automotive and Robotics Lab, as a Team Lead.