Md Shazid Islam - Machine Learning Researcher | Md Shazid Islam

Motivated Ph.D. student in Machine Learning, Deep Learning, and Computer Vision fields. Experienced in Medical Image analysis, Domain Adaptation, Federated Learning, Segmentation, Tracking, Volumetric data, human pose and audio visual learning. Aiming to improve state-of-the-art technologies and deploy them in real-world settings.

Background

Details can be found in the About_me page

Education

PhD Candidate, Electrical Engineering

University of California, Riverside, USA (2020 - present)

MSc, Electrical and Electronic Engineering

Bangladesh University of Engineering and Technology (2017-2020)

BSc, Electrical and Electronic Engineering

Bangladesh University of Engineering and Technology (2013-2017)

Selected Projects

Md Shazid Islam, Arindam Dutta, Calvin-Khang Ta, Kevin Rodriguez, Christian Michael, Mark Alber, G. Venugopala Reddy, Amit K. Roy Chowdhury, “ DEGAST3D: Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images ”, accepted in IEEE/ACM transactions on computational biology and bioinformatics

Md Shazid Islam, Sayak Nag, Arindam Dutta, Miraj Ahmed, Fahim Faisal Niloy, Amit K. Roy Chowdhury, “ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation ”

(under review)

Md Shazid Islam, ASM Jahid Hasan, Md Saydur Rahman, Jubair Yusuf, Md Saiful Islam Sajal, Farhana Akter Tumpa,“ Location Agnostic Source-Free Domain Adaptive Learning to Predict Solar Power Generation", IEEE International Conference on Energy Technologies for Future Grids, Wollongong, Australia, 2023.

Paper

Code

Project Page

Md Sanzid Bin Hossain, Md Shazid Islam, Md Saad Ul Haque Md Saydur Rahman “ Gait Phase Classification from sEMG in Multiple Locomotion Mode Using Deep Learning”, accepted in International Congress on Information and Communication Technology,London,UK, 2024.

Md Shazid Islam, SM Mahbubur Rahman, “ Synthesis of Dance by Learning Body Gestures from Music”(under review)