Scholar
Manish Nagaraj
Google Scholar ID: K-ihHacAAAAJ
Purdue University
Citations & Impact
Citations
69
H-index
4
i10-index
1
Publications
17
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'DOTIE: Energy-Efficient Object Detection Using Event Cameras' at the 2023 IEEE International Conference on Robotics and Automation (ICRA), and 'TOFU: Federated Learning with Data and Communication Efficiency' in IEEE Access, among others.
Research Experience
- Conducts research at the Nano(Neuro) Electronics Laboratory, Purdue University, focusing on projects such as 'Exploring Data Efficiency for Deep Learning Systems'.
Education
- Ph.D. candidate in Electrical and Computer Engineering at Purdue University, advised by Professor Kaushik Roy; M.S. in Electrical and Computer Engineering from Purdue University; B.E. in Electronics and Communications from PES Institute of Technology, Bangalore, India.
Background
- Ph.D. candidate in Electrical and Computer Engineering, focusing on data efficiency and optimization techniques in machine learning, with a specific emphasis on creating compact, accurate, and scalable machine learning systems. Aims to reduce computational overhead while enhancing system performance for real-world applications.
Miscellany
- Passed preliminary examination, featured in the Student Spotlight Blog at NRL, conducted a video interview at Latent AI, and presented DOTIE at ICRA 2023, London.
