Summary
Debasmita Ghose is a robotics-focused PhD candidate in Computer Science at Yale University with eight years of hands-on research and industry experience in perception, control, and embedded systems. She has bridged academic and applied robotics through projects at UMass Amherst, Siemens, TU Dresden, NTU Singapore, and Yale—working on humanoid platforms, grasp planning, leg detection, UAVs, and battery/PCB design. Comfortable with ROS, vision and tactile sensing, and ML-driven mode-detection from mobile traces, she pursues robust control and perception for legged robots in chaotic environments. Her background in electronics and embedded design gives her a practical edge when moving algorithms from prototype to hardware.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering Electronics and Communication Engineering, Bachelor of Engineering Electronics and Communication Engineering at Manipal Institute of Technology
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Yale University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Massachusetts Amherst
High School Diploma, High School Diploma at Notre Dame Academy
English, Hindi, Bengali