IBM Data Science Professional Certificate
Published:
12-course specialization covering Python (NumPy, Pandas), SQL, data cleaning, visualization, exploratory data analysis, and introductory supervised learning.
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books
certifications
Reinforcement Learning Specialization
Published:
4-course advanced specialization in reinforcement learning covering k-armed bandit problems, MDPs, dynamic programming, TD methods, policy gradients, and deep RL.
hobbies
Books I’m Reading
Published:
My current reading journey through classic literature and science fiction.
portfolio
Multilingual RAG System - Bangla Text Book Pipeline
Built a complete RAG system with dual embedding (Cohere + OpenAI), OCR for Bengali, FastAPI backend, Streamlit GUI, and deployed on AWS EC2.
A sophisticated RAG system for Bengali textbook question answering with dual embedding strategy.
Clickshots Package
Created Python package for automated screenshot capture and processing with advanced image manipulation features.
Python Package for Screenshot Automation with advanced image manipulation capabilities.
Human Detection with YOLOv8
Developed full-stack web app with YOLOv8 model backend (FastAPI), Streamlit frontend, containerized with Docker, and deployed on AWS EC2.
A web application with a FastAPI backend and Streamlit frontend for human detection in images.
Ice Cream Brand Analysis
Conducted comprehensive market research analyzing consumer preferences, brand popularity, and market trends for ice cream brands in Bangladesh.
Data analysis of consumer preferences and market trends in the ice cream industry.
LLM Chat Interface (CPU Optimized)
Built lightweight chat interface supporting LLaMA and DeepSeek models with CPU-optimized inference using llama.cpp.
A multi-model chat interface for LLaMA-family models and DeepSeek Coder with CPU-optimized inference.
Monte Carlo Simulation for Bangladesh Election
Developed Monte Carlo simulation models to analyze electoral patterns and political spectrum distribution in Bangladesh elections.
Statistical Modeling for Political Analysis using Monte Carlo methods for electoral pattern analysis.
Bangladesh Political Landscape Analysis with Monte Carlo Simulation
Analyzed Bangladesh political landscape using Monte Carlo simulations and statistical modeling to identify trends and patterns.
Comprehensive analysis of Bangladesh political landscape using Monte Carlo simulation and data-driven insights.
FPL Hype Index
Built FPL hype tracking system analyzing player performance, transfer trends, and market dynamics with data visualization dashboard.
Fantasy Premier League hype index for tracking player performance and transfer trends.
SA East Website Project
Built modern responsive website using Vite and Bootstrap with interactive components and optimized performance.
Modern website project built with Vite and Bootstrap, featuring responsive design and interactive components.
Dhaka University Students Political Spectrum Analysis
Designed end-to-end survey data analysis pipeline with data cleaning, EDA, and visualization to extract insights on student political preferences.
Comprehensive analysis pipeline for student survey data focusing on political views, reform preferences, and demographic patterns.
Multi-Layered Password Steganography
Developed novel steganography technique with multi-layer passwords using AES-CBC encryption for tiered data protection. Published at ECCE 2025.
A novel approach for tiered information hiding with multiple password layers for enhanced security.
publications
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
Published in arXiv Preprint, 2024
A novel graph contrastive learning method with quantum computing principles for improved jet discrimination in particle physics.
Recommended citation: Jahin, M. A., Masud, M. A., Mridha, M. F., & Dey, N. (2024). Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination. arXiv preprint arXiv:2411.01642.
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Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Published in IEEE Transactions on Artificial Intelligence, 2025
Quantum graph neural network with Lorentz symmetry for particle physics applications.
Recommended citation: Jahin, Md Abrar and Masud, Md. Akmol and Suva, Md Wahiduzzaman and Mridha, M. F. and Dey, Nilanjan. (2025). "Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics." IEEE Transactions on Artificial Intelligence. 1-11.
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Multi-Layered Password-Based Steganography: A Novel Approach for Tiered Information Hiding
Published in ECCE 2025 Conference Proceedings, 2025
A new steganography technique using multiple password layers for enhanced security and tiered data hiding.
Recommended citation: Masud, M. A., Akter, S., Sultana, N., Yousuf, M. A., & Uddin, M. Z. (2025). Multi-Layered Password-Based Steganography: A Novel Approach for Tiered Information Hiding. In Proceedings of the 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
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Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select
Published in arXiv Preprint, 2025
A novel approach to stabilize federated learning under extreme data heterogeneity using the HeteRo-Select method.
Recommended citation: Masud, M. A., Jahin, M. A., & Hasan, M. (2025). Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select. arXiv preprint arXiv:2508.06692.
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KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
Published in Computers in Biology and Medicine, 2025
A breakthrough hybrid classical-quantum neural network achieving 92.03% accuracy and 94.77% ROC-AUC for heart disease detection, outperforming 37 benchmark models while providing interpretability through LIME/SHAP and robust uncertainty quantification.
Recommended citation: Jahin, M. A., Masud, M. A., Mridha, M. F., Aung, Z., & Dey, N. (2025). KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection. Computers in Biology and Medicine.
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Dream: A Novel Explainable Neural Network for Detecting Sleep Apnea Using Single-Lead ECG Signals
Published in Biomedical Signal Processing and Control, Elsevier (Journal), 2025
An explainable deep learning model named Dream for accurate sleep apnea detection from single-lead ECG signals. Published in Biomedical Signal Processing and Control (Q1, IF: 4.9, CiteScore: 11.5).
Recommended citation: Akter, S., Masud, M. A., Promi, M. S. I., Sultana, N., Ahmed, M., Rahman, M. M., Yousuf, M. A., Aloteibi, S., & Moni, M. A. (2025). Dream: A Novel Explainable Neural Network for Detecting Sleep Apnea Using Single-Lead ECG Signals. Biomedical Signal Processing and Control.
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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