Mahmudul Hasan
I am a Computer Science researcher at the Cognitive Agents & Interaction Lab, University of Dhaka, specializing in Artificial Intelligence, Deep Learning, and Natural Language Processing. My research focuses on developing practical AI solutions for real-world challenges, including low-resource language processing, advanced OCR systems, and automated educational tools. I am committed to advancing AI research that creates meaningful societal impact.
Research Interests
Deep Learning
Advanced neural architectures, transformer models, and optimization techniques for complex AI tasks
Natural Language Processing
Low-resource language processing, text generation, summarization, and multilingual models
Computer Vision
Document analysis, OCR systems, object detection, and image understanding
AI Applications
Educational AI tools, automated assessment systems, and human-computer interaction
Publications & Presentations
Accepted
Developed a resource-efficient HTR system for Bengali script using grapheme-based tokenization and decoder-only transformers, achieving 95%+ 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
Leading R&D projects in AI/ML domain, focusing on practical applications of NLP and Computer Vision.
- Developed advanced OCR systems achieving 95%+ accuracy using deep learning techniques
- Lead multiple research projects on low-resource language processing and document analysis
- Published research papers at top-tier conferences (EMNLP 2025)
- Collaborate with interdisciplinary teams including faculty and graduate students
- Mentor undergraduate students in research methodologies and project development
Developing Android applications and backend systems using Django, Celery, and PostgreSQL. Implementing modern software architecture patterns and RESTful APIs.
Taught advanced mathematics for university admission preparation. Developed curriculum materials and mentored students in analytical problem-solving.
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
Featured Research Projects
Comprehensive AI-driven platform that automates question generation and script evaluation using Large Language Models. The system employs semantic-aware grading to provide immediate, unbiased feedback, significantly reducing teacher workload while enabling students to receive 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. Implemented novel tokenization and attention mechanisms for long article compression.
Machine learning platform for stock market analysis and prediction. Implemented time series analysis using LSTM and Transformer models, achieving 85% accuracy in 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 level with multiple difficulty settings and move analysis features.
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.
Honors & Recognition
Deep Learning competition recognizing excellence in machine learning and AI research
Team: DU_TripleHash | 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
Academic Service
- Lead organization of academic conferences, workshops, and technical seminars for 300+ students
- Taken the initiative and organized debating competitions from 2022 to 2024
- Organized CTF contest for the first time in the Department of Computer Science and Engineering, University of Dhaka
- Organize 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.