Curriculum Vitae
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Final-year B.Sc. ECE student at RUET working on Trustworthy AI — uncertainty and reliability under distribution shift, mechanistic interpretability, and noise-robust medical image analysis. Actively seeking research-oriented graduate (M.S./Ph.D.) opportunities.
Education
Rajshahi University of Engineering & Technology (RUET) · Dec 2022 – Present B.Sc. in Electrical and Computer Engineering · CGPA 3.56 / 4.00 (after 6th semester)
BAF Shaheen College, Jashore · Jul 2019 – Dec 2021 HSC, Science · GPA 5.00 / 5.00
Research
Publications
-
First author — “Which Reliability Signal to Trust? Output vs. Representation Space Uncertainty Under Distribution Shift in Pathology Foundation Models.” Accepted at the MI4MedFM Workshop, MICCAI 2026. Code
- Second author — Reza, M. H., Sibly, M. N. B., Rabbani, S. G., Sadi, S. H., Ahamed, M. F., Shafi, F. B., Sarmun, R., & Chowdhury, M. E. H. (2026). “A comprehensive review of convolutional neural networks: foundations, enhancements and applications.” Neural Computing and Applications, 38(4), Article 56. (Springer, Q1, IF 5.102) DOI
- First author — Sibly, M. N. B., Reza, M. H., & Ahamed, M. F. (2026). “Noise-Robust Gallbladder Ultrasound Image Classification Using U-Net GAN Denoising and Vision Transformer.” 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), pp. 1–6. DOI
Manuscript in Preparation
- First author — “JTADC-Net: An Adversarial Joint Task-Aware Denoising and Classification Network for Noise Robust Gallbladder Disease Diagnosis”. Code
Ongoing Research
- Trustworthy AI in Healthcare (undergraduate thesis).
Experience
Research Assistant (part-time, remote) · ELITE Research Lab · 2026 – Present Mechanistic interpretability of neural networks — making predictions explainable.
AI & ML Trainee · BDSET · 2025 – 2026 Six-month program in AI, ML, and immersive technologies under Bangladesh Hi-Tech Park Authority. Certificate
Programming Mentor · RUET Analytical Programming Lab · 2024 – 2025 Taught algorithms and debugging; guided students in competitive programming and contest preparation.
Projects
- JTADC-Net — Noise-Robust Gallbladder Disease Classification (2025) — GAN-assisted ViT framework for robust ultrasound classification under noise, packaged as a real-time medical image classification web app. Demo
- TruthLayer-Gemma4 — Trustworthy Vision-Language AI (2025) — Reliability, hallucination reduction, and verification strategies in multimodal vision-language systems.
- ATmega Neural Network — Digit Recognizer (2025) — Lightweight neural network on ATmega microcontrollers using optimized integer computation and memory-efficient TinyML inference.
Problem Solving
Codeforces (Pupil, max 1263; 1,186 solved) · LeetCode (125 solved) · VJudge (378 solved)
Certificates & Achievements
| Credential | Issuer | Year |
|---|---|---|
| 6th Place — AI Hackathon, DUET | Dept. of ECE, RUET | 2026 |
| Machine Learning Specialization (Andrew Ng) | DeepLearning.AI & Stanford | 2024 |
| CS50: Databases with SQL | Harvard University | 2024 |
| CS50: Introduction to Computer Science | Harvard University | 2023 |
| 2nd Runner-Up — ECE Youth Programming Contest | RUET | 2023 |
Technical Skills
Languages: C, C++, Python, JavaScript, SQL
Data Science & ML: TensorFlow, Scikit-learn, Pandas, NumPy, Matplotlib
Web Development: HTML, CSS, Django, MySQL
Other Tools: Git, GitHub, Linux, Jupyter Notebook, Data Analysis