S. M. Mohiuddin Khan Shiam
Computer Science Graduate & Machine Learning Researcher
Welcome to my academic and engineering portfolio. I am a Computer Science graduate from BRAC University, actively preparing for Ph.D. programs abroad in advanced Artificial Intelligence. My research centers on Explainable AI (XAI), Ultra-Lightweight Edge Vision (3D-CNNs), High-Frequency Time-Series Forecasting, and Quantum Machine Learning (QML).
I am the author of peer-reviewed articles published in Q1 Elsevier journals, manuscripts under review in Scientific Reports (Nature Portfolio), and an active contributor to 17+ foundational open-source repositories including VS Code, scikit-learn, Keras, and Kubernetes.
Featured Research Highlights
View all publications →HybridStack: Explainable Hybrid Ensemble for Inflation Forecasting
Engineered a multi-tier hybrid ensemble combining gradient-boosted trees (XGBoost, LightGBM, CatBoost) with regularized meta-regressors, achieving test RMSE of 0.0006 with policy-grade SHAP and LIME interpretability.
Nano3D: Explainable Ultra-Lightweight Video Anomaly Detection
An ultra-compact 3D-CNN architecture (486K parameters, 1.86 MB model) delivering 88.7% accuracy, 0.947 AUC, and 7.19 ms edge latency across 5 canonical public benchmark datasets with spatiotemporal Grad-CAM visual attribution.
Deep Learning Frameworks for Suspicious Activity Detection
Supervised by Prof. Dr. Amitabha Chakrabarty and Prof. Dr. Md. Golam Rabiul Alam. Benchmarked spatiotemporal architectures across UCF-Crime, XD-Violence, RWF-2000, UBI-Fights, and SCVD, formulating edge anomaly models.
Open-Source Contributions Across 17+ Repositories
Explore all 17+ contributions →Explore Sections
Publications & Research
Peer-reviewed Q1 Elsevier articles, Nature Portfolio manuscripts under review, and academic thesis.
Technical Projects
Edge AI systems, time-series forecasting frameworks, full-stack platforms, and digital logic robots.
Open Source
Upstream contributions across 17+ mission-critical repositories: Microsoft, scikit-learn, Keras, and Kubernetes.
Technical Blog
In-depth engineering write-ups on Explainable AI, 3D-CNNs, forecasting, and open-source ML.
Certifications
Professional credentials in Agile Foundations, Strategic Leadership, and Project Management.
Contact & Connect
Open for Ph.D. positions, graduate research opportunities, and technical collaborations.