Senior Lecturer at BRAC University
School of Data and Sciences, CSE Dept.
Co-Founder & Researcher, BIOML Lab
About Me
I am a Senior Lecturer at the School of Data and Sciences at BRAC University and an active Researcher in Machine Learning. My work lies at the intersection of Deep Learning, Signal Processing, and Computer Vision, with a primary focus on ML-based solutions for Healthcare and Diagnostics.
My personality type is ENTP-A, and I have a multidisciplinary academic background (EE, CS). This is probably why I am naturally drawn to exploring novel ideas and the connections between diverse fields. As such, I have quite a wide range of research interests, spanning from Multi-Modal Machine Learning & Deep Learning Architectures, to their applications in Biomedical Imaging, Bioinformatics and even Computational Social Science. My current research revolves around developing deep-learning frameworks that efficiently learn from multiple signal representations simultaneously, leveraging multi-modal fusion based architectures. At BRAC University, I teach basic courses like Circuits & Electronics and also advanced courses like Image Processing, which aligns closely with my own research.
You can explore the different pages on this site to find my detailed research summary, a full list of publications, achievements and my complete teaching portfolio.
Education
Master of Science (MS) in Computer Science and Engineering
2022 - 2024BRAC University
Specialization: Artificial Intelligence
Thesis: Generalization in Deep Learning
Key Courses:
Data Science Graph Theory Advanced Artificial Intelligence Symbolic ML-IMaster of Science (MS) in Electrical and Electronic Engineering
2021 - 2026Bangladesh University of Engineering & Technology (BUET)
Major: Communication & Signal Processing
Thesis: Biomedical Imaging & Multimodal Deep Learning
Key Courses:
Machine Learning & Pattern Recognition Deep Learning Genomic Signal ProcessingBachelor of Science (BS) in Electrical and Electronic Engineering
2016 - 2021Bangladesh University of Engineering & Technology (BUET)
Major: Communication & Signal Processing
Thesis: Biomedical Signal Processing & ML
Key Courses:
Computer Programming Digital Signal Processing I Digital Image ProcessingResearch Interests
- Multi-Modal Machine Learning
- Deep Learning Architectures
- Signal & Image Processing
- Audio and Speech Processing
- Federated Learning
- Computer Vision and Medical Imaging
- Bioinformatics
- AI in Healthcare
- Computational Social Science
- Explainable AI
News & Updates
Paper Accepted at SCA/HPCAsia 2026
Our paper on Antimicrobial Resistance Prediction from Genomic data (SNPs) has been accepted at SCA/HPCAsia 2026, Osaka, Japan.
October 2025Promoted to Senior Lecturer
Promoted to the position of Senior Lecturer in the Department of CSE at BRAC University.
July 2025Attended CompBio Asia 2025 Workshop
Attended the 2-week cross-disciplinary training in Computational Biology at Kasetsart University, Bangkok. Organized by the University of Arizona and University of Montana.
June 2025Paper Accepted at IEEE BigData 2024
Our paper titled "Divide2Conquer (D2C): A Decentralized Approach Towards Overfitting Remediation in Deep Learning" has been accepted at IEEE BigData 2024, Washington, DC.
October 2024Awarded UIU Research Grant by IAR
Received a research grant as a Co-Principal Investigator for our work on Overfitting remediation in Deep Learning from Institute for Advanced Research (IAR).
July 2023Explore My Portfolio
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Get in Touch
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