Ovishake Sen
@ovishakesen
Electrical and Computer Engineering Ph.D. candidate at the University of Florida building LUT-based neural accelerators for edge AI.
United StatesWhat I'm looking for
At the University of Florida’s WISE Lab, I developed LANA, a PyTorch-based Look-Up Table accelerator designed to replace arithmetic-heavy neural operations with table-based computation for energy-efficient edge inference. I also implemented LUNA for accelerator-aware evaluation and compute-in-memory design exploration.
I built and deployed a neural-signal handwriting recognition system on NVIDIA Jetson TX2, combining EEG preprocessing, machine-learning inference, and embedded execution. This work was published in Scientific Reports as research on low-latency edge-device inference.
My research also explores low-precision inference and reliability, including FP4/NVFP4, FP8, FP16, and INT8 formats, selective protection, and ECC. I previously taught Image Processing, Embedded Systems, and Digital Logic Design at Southeast University.
Experience
Work history, roles, and key accomplishments
Developed real-time EEG inference pipelines for handwritten character recognition and deployed neural-signal handwriting recognition on NVIDIA Jetson TX2. Designed LUT-based approximate neural accelerators and conducted reliability-aware AI research.
Lecturer
Southeast University
Jul 2022 - Nov 2022 (4 months)
Taught Image Processing, Embedded Systems, Embedded Systems Lab, and Digital Logic Design; prepared lectures, labs, assessments, and project-based activities.
Education
Degrees, certifications, and relevant coursework
University of Florida
Ph.D., Electrical and Computer Engineering
2023 -
Grade: 3.83/4.00
Ph.D. in Electrical and Computer Engineering with a GPA of 3.83/4.00, expected graduation in December 2026.
University of Florida
M.S., Electrical and Computer Engineering
2023 - 2025
Grade: 3.83/4.00
M.S. in Electrical and Computer Engineering with a GPA of 3.83/4.00, completed in August 2025.
Khulna University of Engineering and Technology
B.Sc., Computer Science and Engineering
2017 - 2022
Grade: 3.70/4.00
B.Sc. in Computer Science and Engineering with a GPA of 3.70/4.00, completed in April 2022.
Availability
Location
United StatesAuthorized to work in
Salary expectations
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