About Me
I am a Ph.D. student and Graduate Research Assistant in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, working with Dr. Prashnna K. Gyawali at the Machine Intelligence Lab. My research develops machine learning methods for scientific discovery — with a focus on graph neural networks and self-supervised learning for material property prediction, alongside long-standing work in computer vision and medical image segmentation.
Before joining WVU, I served as a faculty instructor in the Department of Electrical, Electronic and Communication Engineering at the Military Institute of Science and Technology (MIST) in Dhaka, Bangladesh. I hold an M.Sc. from MIST and a B.Sc. from the Rajshahi University of Engineering & Technology (RUET), both in Electrical & Electronic Engineering.
Research Interests
News
- Jul 2026 Conducted the AI/Data Science and LLM Literacy Forum session at the 2026 Summer Workshops on AI & Digital Health, Bio/Neuro-Inspired ML & NRT Mini-series (20–22 July 2026).
- Jun 2026 Presented a poster at NIST's Artificial Intelligence for Materials Science (AIMS) Workshop (16–17 June 2026).
- 2025 Our paper Supervised Pretraining for Material Property Prediction was published in Communications Materials (Nature).
- 2024 Presented Multi-task Learning for Material Property Prediction and contributed to Segmentation of Maya Hieroglyphs through Fine-tuned Foundation Models at ICMLA 2024.
- 2024 Received the IEEE Bangladesh Section Best Paper Award at ICEEICT 2024.
- 2024 Enhancing Material Property Prediction with Ensemble Deep Graph Convolutional Networks published in Frontiers in Materials.
- Aug 2023 Started my Ph.D. in Electrical Engineering at West Virginia University.
Selected Publications
Full list on my Google Scholar profile.
- Supervised Pretraining for Material Property Prediction Communications Materials (Nature), 2025 Journal arXiv
- Workforce Competency Requirements in Industry 4.0: A Natural Language Processing Analysis of Job Market Demands Journal of Manufacturing Technology Management, 2026 Preprint
- Enhancing Material Property Prediction with Ensemble Deep Graph Convolutional Networks Frontiers in Materials, 2024 Journal
- Multi-task Learning for Material Property Prediction ICMLA, IEEE, 2024
- Tensor-enhanced Shock Energy-driven Active Contours: A Novel Approach for Knowledge-based Image Segmentation Journal of Visual Communication and Image Representation, 2024
- Segmentation of Maya Hieroglyphs through Fine-tuned Foundation Models ICMLA, IEEE, 2024
- Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis using ML and LLMs UEMCON, IEEE, 2024
Experience
Teaching
Professional Service
Peer Review — Journals
- npj Computational Materials
- Chemical Engineering Science
- Engineering Applications of Artificial Intelligence
- Expert Systems with Applications
- Journal of Visual Communication and Image Representation
- Journal of Mathematical Analysis and Applications
- Journal of Materials Science: Materials in Engineering
Peer Review — Conferences & Workshops
- DEMI 2026 — Data Engineering in Medical Imaging Workshop (MICCAI)
Organizing & Editorial
- Organizing Joint Secretary — ICEEICT 2021
- Organizing Member — ICTP 2021
- Editorial Member — General Science & Technology Pamphlet (GSTP), Bangladesh Army, 2021
- Technical Evaluation Committee for locally manufactured ventilators — DGDA, Bangladesh, 2020
- Student Coordinator — IEEE RUET Student Branch, 2011–2012
Memberships
- IEEE — Member (2014–present)
- Institution of Engineers, Bangladesh (IEB) — Member (2017–present)
Awards
- IEEE Bangladesh Section Best Paper Award — ICEEICT 2024
- Best Paper Award — SPICSCON 2019
- Champion, Inter-department Electronics Project Competition — IEEE RUET, 2011
- Government Scholarships — HSC (2008) & SSC (2006)