Mahmudul Hasan
I am currently pursuing my M.Sc. in Computer Science and Engineering at the University of Dhaka and working as a Consultant in the ICSETEP Sub-project (UGC), University of Dhaka, contributing to AI-driven enterprise business intelligence systems. I am also actively involved in research at the Cognitive Agents & Interaction Lab (CAIL), University of Dhaka.
My research interests include Artificial Intelligence, Deep Learning, and Natural Language Processing, focusing on low-resource language technologies, advanced OCR systems, and AI-powered educational technologies.
I aspire to pursue a PhD and build a career in academia as a teacher, researcher, and mentor, contributing to impactful AI research and helping develop the next generation of scientists and engineers.
Publications & Presentations
Accepted
Developed a resource-efficient HTR system for Bengali script using grapheme-based tokenization and decoder-only transformers, achieving ~95% character-level accuracy.
Preprints
Applied transformer-based DETR model for robust vehicle detection in challenging road conditions, addressing safety concerns in transportation.
Google Scholar: View full publication list · ORCID: 0009-0009-3125-1340
Research & Professional Experience
Contributing to an ADB-funded project on enterprise AI systems and data-driven business intelligence platforms.
- Designing scalable AI pipelines integrating enterprise databases with Retrieval-Augmented Generation (RAG)
- Developing intelligent systems for real-time insight, predictive, and prescriptive analytics
- Supporting deployment and optimization of GPU-based compute infrastructure for large-scale AI workloads
- Collaborating with multidisciplinary teams across national projects under UGC
Conducted research in AI and Machine Learning with a focus on NLP, OCR, and low-resource language technologies.
- Developed deep learning-based OCR systems for Bengali handwritten text recognition
- Trained and optimized models on multi-GPU servers using PyTorch
- Implemented mixed-precision training, gradient checkpointing, and distributed pipelines
- Co-authored research published at EMNLP 2025
- Mentored undergraduate students in AI research and machine learning deployment
Developing backend services and scalable data pipelines using Django, PostgreSQL, Celery, and Redis. Contributing to an Android-based education platform used by teachers across rural Bangladesh.
Taught advanced mathematics for university admission preparation. Mentored students in analytical problem-solving and mathematical reasoning.
Workshops & Outreach
Department of Computer Science and Engineering, University of Dhaka
Delivered hands-on training sessions on deep learning fundamentals and open-source large language models as part of a 2-day workshop organized by the Cognitive Agents & Interaction Lab, CSEDU.
North South University
Conducted a 2-day practical workshop on machine learning fundamentals at North South University, invited by IEEE NSU. Covered foundational ML concepts, model training workflows, and real-world deployment through hands-on exercises.
University of Dhaka
Served as problem setter and judge for the IT Hackathon track focused on AI-powered applications. The creativity each team brought was incredible — sparking vital conversations about building responsibly with AI, including awareness of its potential to generate false information.
Education
Focus: Advanced topics in Artificial Intelligence and Machine Learning
Research: Deep Learning architectures, Transformer models, AI applications
Thesis: Bangla Abstractive Summarizer with Attention-based Learning Technique
for Long Articles
Relevant Coursework: Advanced Algorithms, Data Science, Artificial
Intelligence, Machine Learning, Database Systems, Computer Networks, Discrete Mathematics,
Linear Algebra
GPA: 5.00/5.00 (Perfect Score) — Strong foundation in Mathematics, Physics, Chemistry, and Biology
Honors & Recognition
Awarded national research fellowship by the ICT Division of Bangladesh for contributions to ICT research and innovation
Deep Learning competition recognizing excellence in machine learning and AI research
Teams: DU_TripleHash, DU_Fireflies | Advanced to finals of Bangladesh's premier hackathon, 3rd in Phase-2
Team: DU_StormSurge | National Java programming and software development competition
Demonstrated excellence in scientific problem-solving and analytical thinking at national level
Featured Research Projects
Comprehensive AI-driven platform that automates question generation and script evaluation using Large Language Models. Employs semantic-aware grading to provide immediate, unbiased feedback, reducing teacher workload while enabling consistent, meaningful assessment that promotes self-learning.
Key Innovations: Semantic evaluation engine, automated question bank generation, handwritten answer processing, curriculum-aligned assessment, multi-format input support (text, images, PDFs)
Developed attention-based neural network model for Bengali text summarization, addressing challenges in low-resource language processing with novel tokenization and attention mechanisms.
Machine learning platform for stock market analysis and prediction using LSTM and Transformer models for short-term price prediction with comprehensive portfolio optimization features.
Advanced chess engine implementing minimax algorithm with alpha-beta pruning and position evaluation functions. Capable of playing at 1400+ ELO with multiple difficulty settings and move analysis.
Blockchain-inspired payment platform ensuring transaction transparency for NGOs. Features multi-platform support, secure payment integration, and real-time transaction tracking to increase donor confidence and organizational accountability.
Academic Service
- Led organization of academic conferences, workshops, and technical seminars for 300+ students
- Initiated and organized debating competitions from 2022 to 2024
- Organized the first-ever CTF contest in the Department of Computer Science and Engineering, University of Dhaka
- Organized guest lectures featuring prominent researchers and industry professionals
Maintained official records, coordinated inter-departmental activities, organized study groups, and technical skill development.
Contributed to event organization, student welfare initiatives, and department-wide activities supporting academic and extracurricular excellence.