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Lecturer, Department of CSE

International University of Business Agriculture and Technology (IUBAT)

Teaching undergraduate courses in CSE and mentoring student research projects.

• Courses: Artificial Intelligence, Data Science, Data Structures, Database Management Systems, System Analysis & Design
• Mentored 35+ undergraduate students on ML and cybersecurity research projects; two student-led projects advanced to peer-reviewed publication (IEEE PECCII 2026, IEEE ICMI 2026)

Researcher — Machine Learning & Cybersecurity

CUET / IUBAT

Independent research in federated learning, intrusion detection, adversarial ML, and video anomaly detection.

• Developed a privacy-preserving CNN-LSTM architecture within a Federated Learning framework for network intrusion detection, achieving over 99.36% accuracy across all seven attack classes on CIC-IDS2017 without centralizing raw data; raised Web Attack F1-score from 0.20 (CNN baseline) to 0.93, outperforming LSTM, CNN+BiLSTM, and CNN+GRU variants
• Built a novel file-entropy dataset and detection pipeline for crypto-ransomware, developing a custom FUSE-based filesystem to intercept file write/delete operations across 123 file types (30 ransomware strains, 93 benign); trained ML models achieving up to 96% detection accuracy (first-author, Springer LNNS 2025)
• Evaluated cross-domain adversarial robustness and XAI explanation stability in phishing detection, comparing PGD and Carlini-Wagner attack accuracy alongside SHAP explanation drift across feature-engineered vs. raw-URL input representations (IEEE PECCII 2026)
• Designed a two-stage CNN + Vision Transformer pipeline for video anomaly detection on the UCF-Crime dataset, reaching 98% accuracy on binary classification and 95% on multi-class categorization; introduced a keyframe extraction algorithm reducing per-video processing time to 20ms

B.Sc.

Chittagong University of Engineering & Technology (CUET)

Computer Science and Engineering

• Machine Learning
• Data Structures & Algorithms
• Computer Networks
• Database Management Systems
• Artificial Intelligence
• Software Engineering

Research Publication Recognition

Miyan Publications Reward Ceremony

5th Position — CUET Talent Hunt IUPC

CUET

Competitive programming contest, 2018–2022

Round 1 Qualifier

Meta Hacker Cup

2020 and 2022

General Board Scholarship

Board of Intermediate and Secondary Education

2015 and 2017

Cross-Domain Adversarial Robustness and Explainability Stability in Phishing Detection Systems

IEEE Int'l Conf. on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII)

Md. Rifat Hassan, J. A. Nabin, Toyeer-E-Ferdoush. Evaluates cross-domain adversarial robustness (PGD, Carlini-Wagner) and SHAP explanation drift in phishing detection systems.

Unraveling the Factors of Procrastination: An Insightful Assessment of Procrastination Levels Through ML and XAI

IEEE 5th Int'l Conf. on Computing and Machine Intelligence (ICMI)

Mariam Sarker, Anwar Hossain Efat, Maria Afrin Khan, Minhaz Zibran, J. A. Nabin. Feature-Tuned SVM with dual-layered SHAP/LIME analysis for behavioral prediction.

A Novel File Entropy Dataset for Crypto-Ransomware Detection Using Machine Learning

2nd Int'l Conf. on Machine Intelligence and Emerging Technologies (Springer LNNS)

J. A. Nabin, Md Mokammel Haque. [First Author] Custom FUSE-based filesystem dataset and ML pipeline for crypto-ransomware detection across 123 file types.

Federated Deep Learning for Cybersecurity and Intrusion Detection in Decentralized Networks

IEEE 3rd Int'l Conf. on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)

Naeem Mia, J. A. Nabin, Suzad Mohammad, Mahedi Hasan, Fahim Shakil Tamim, Dipta Mohon Das. CNN-LSTM federated learning framework for privacy-preserving intrusion detection.

A Novel Temporal-Aware Adaptive Feature Selection Strategy for Network Intrusion Detection Systems

IEEE Global Conference in Emerging Technology (GINOTECH)

Naeem Mia, Md Mahfuzul Haque Gazi, J. A. Nabin, Fahim Shakil Tamim, Suzad Mohammad, Md Rownak Ul Islam. Temporal-aware adaptive feature selection for IDS.

Two-Stage Vision Transformer-Based Framework for Anomaly Detection and Classification in Surveillance Videos

IEEE Int'l Conf. on Electrical, Computer and Communication Engineering (ECCE)

Mahedi Hasan, J. A. Nabin, Naeem Mia, Fahim Shakil Tamim, Suzad Mohammad, Dipta Mohon Das. Two-stage CNN + ViT pipeline for video anomaly detection on UCF-Crime dataset.