Education
Ahsanullah University of Science and Technology
- ■ Bachelor of Science (B.Sc.) in Computer Science and Engineering
Duration: 2019 - 2023
CGPA: 3.302/4.00 (Ranked 84th out of 145 students)
Supervisor: Dr. Mohammad Shafiul Alam, Professor, Department of CSE, AUST
Co-supervisor: Khan Md Hasib, Assistant Professor, Department of CSE, BUBT
National Ideal College
- ■ Higher Secondary Certificate (HSC)
Duration: 2015 - 2017
GPA: 5.00/5.00
Motijheel Model School & College
- ■ Secondary School Certificate (SSC)
Duration: 2013 - 2015
GPA: 5.00/5.00
Awards & Achievements
- ■ 🎖️ 11th IEEE i-COSTE 2025 Scholarship Award, awarded 50% registration fee scholarship for research excellence and paper presentation of "PotatoGANs", 12th November 2025, Dhaka, Bangladesh.
- ■ 🎖️ Achievement Award, recognized for Excellence in Strategic Leadership, Agile Project Delivery, and Results-Driven Execution at DEXIAN (BANGLADESH) LIMITED – H1 2025 Reflection, 14th August 2025, Dhaka, Bangladesh. 🔗 Highlights
- ■ 🏆 DL Sprint 2.0 - BUET CSE Fest 2023, led Team AustPhoenix and secured 10th position out of 94 participants. 🔗 Leaderboard
- ■ 📜 Poster Presentation, "Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework", secured Top 5 position out of 50 posters in RESEARCH SYMPOSIUM 2023, 14th June 2023, Dhaka, Bangladesh. 🔗 Poster 📄 Certificate
- ■ 🏆 Codeware 19 – Intra AUST Programming Contest, commended for technical competence and problem-solving ability, 9th October 2019, Dhaka, Bangladesh. 📄 Certificate
Conference Presentation Certificates
- ■ 🎥 ICCCNet-2024, Springer LNNS, Acceptance Rate: 26%, 17th-18th October 2024, Manchester, United Kingdom.
Presented paper (Virtual): "Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study" 📄 Certificate - ■ 🎥 ICCCNet-2024, Springer LNNS, Acceptance Rate: 26%, 17th-18th October 2024, Manchester, United Kingdom.
Presented paper (Virtual): "Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification" 📄 Certificate
