People

Animesh Chakravarthy, Ph.D.

Animesh Chakravarthy received the Ph.D. degree with specialization in estimation and control from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2007. He is currently a Professor with the Department of Mechanical and Aerospace Engineering, University of Texas, Arlington, TX, USA. From 2007 to 2010, he was a Research Scientist with the University of Florida Research and Engineering Education Facility, and from 2011 to 2018, he was a Faculty Member with Wichita State University. His current research interests include dynamics and control of morphing vehicles, path planning in dynamic environments, PDE-based modeling and control of multi-agent systems, and study of insect flight dynamics. His research has been funded by NSF, NASA, FAA, and the U.S. Air Force. He was a recipient of an NSF CAREER award in 2014.

Abhishek Kashyap
Start date: Spring 2020, Graduated in Summer 2024

Currently working as a Post Doctoral Research Associate in the lab

Research: His Ph.D. thesis focused on the “Analysis and Detection of Cyber Attacks on Multi-Agent Systems using Macroscopic Models,” and he is continuing to build on this work as a Postdoctoral Research Associate. He is also working on the implementation of guidance and collision avoidance algorithms for UAVs, both in simulation and on hardware platforms, including obstacle detection using LiDAR and stereo cameras.

Kashish Dhal
Start date: Fall 2018, Graduated in August 2022

Worked on Guidance, Collision Avoidance and Controls of Unmanned Vehicle Systems. He has extensively worked on embedded systems, FPGAs, real-time controller, sensor integration and hardware development for drones and rovers. Also, he has developed algorithms for cooperative control and collision avoidance for multi-unmanned vehicles system.

Rishab Rijal
Start date: Fall 2024

His research focuses on the development of advanced flight control strategies for Unmanned Aerial Vehicles (UAVs). His current research explores Fault Tolerant Control (FTC) and the dynamics and control of reconfigurable UAVs. He has worked on the guidance laws and trajectory planning of multi-agent systems for various missions, including target interception and collision avoidance.