Aakash Kumar
Graduate Research Assistant
Florida, United States
Summary
👤
Senior🎓
Top SchoolAakash Kumar is a Ph.D. candidate and graduate research assistant at UCF specializing in 3D human perception from radar and LiDAR, with eight years of experience bridging signal processing and deep learning. He builds spatio-temporal transformer architectures and self-supervised methods for radar-based human pose estimation, multi-object tracking, and LiDAR detection, with work supported by Lockheed Martin and published at IEEE IROS. During a research internship at Dolby he developed a patent-pending mmWave radar point transformer for privacy-preserving human activity recognition, demonstrating an uncommon focus on non-visual ambient intelligence. Comfortable moving ideas from research to applied systems, he brings hardware-aware sensing expertise grounded in electrical engineering and international training from Shanghai Jiao Tong University.
8 years of coding experience
1 year of employment as a software developer
Master's degree Electronics and Communications Engineering, Master's degree Electronics and Communications Engineering at Shanghai Jiao Tong UniversityBachelor of Engineering (B.E.) Electrical engineering, Bachelor of Engineering (B.E.) Electrical engineering at Sukkur IBADoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Central Florida
Stackoverflow
483reputation
218kreached
17answers
1question
Github Skills (66)
high-resolution10
style-transfer10
semi-supervised-learning10
adaptation10
representation-learning10
transfer-learning10
multiclass-classification10
classification10
supervised-learning10
generative-model10
generalization10
theory9
facenet9
self-supervised-learning9
lstm9
Programming languages (3)
Github contributions (5)
AKASH2907/indian_landmark_recognition
Sep 2018 - Jun 2019
Contributions:52 commits, 9 pushes, 1 comment in 8 months
AKASH2907/pi-consistency-activity-detection
Apr 2021 - Aug 2022
Contributions:51 commits, 27 pushes, 11 comments in 1 year 3 months
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