- Divya Srivastava
- Ph.D. Student (ME)
- Montgomery Knight Building270 Ferst DriveAtlanta, GA 30332United States
Divya is a second-year Mechanical Engineering Ph.D. student in the Cognitive Engineering Center at Georgia Tech. She is researching explainable AI and which/how human factors can be incorporated as design parameters when creating machine learning algorithms. Her research interests are in HRI and swarm autonomy.
For two summers, Divya worked as Systems Engineer (research intern) in the Robotic Systems Estimation, Decision, and Control Group at NASA’s Jet Propulsion Laboratory. She led a 4-person team to create an Adaptable UAV Swarm Autonomy and Formation Platform and developed a swarm of quadrotors that executes formations and maneuvers in response to user command. She developed a communication system to control the swarm via direct user input into command line. She also worked on the rapid prototyping of a reusable high altitude balloon system for researchers at JPL to conduct near-space experiments. She led the sub-team responsible for the avionics systems and payload integration section of the project, performing Arduino programming, sensor and circuit wiring, and incorporating the electronics within the payload systems.
Divya received her B.S. degree in Mechanical Engineering (Honors) with thesis option and concentration in Aerospace along with a minor degree in Computer Science from Rutgers University.
“Adaptable UAV Swarm Autonomy and Formation Platform"; International IEEE Aerospace Conference 2019, on March 4th, 2019.
“Project Zephyrus: Developing a Rapidly Reusable High-Altitude Flight Test Platform"; International IEEE Aerospace Conference 2018, on March 5th, 2018.
“Modelling PID Controller for Drone Stability” (undergraduate thesis); Mechanical and Aerospace Engineering Department at Rutgers University, on April 25th, 2017.