📝 Updates
[Mar 2026]
Paper submitted to IROS 2026 —
"DyV2X: Dynamic Interaction Graphs for V2X Cooperative Trajectory Prediction."
Co-authored with Yiran Ding, Maiqi Jiang, Yongming Qin, Sidi Lu, and Yanfu Zhang.
[Mar 2026]
Paper submitted to ECCT 2026 —
"A Comparative Analysis of Traditional and Ensemble Machine Learning Models for Phishing Email Detection with Explainable AI."
Co-authored with Md. Masudur Rahman, Jonayed Al-Faruk, AKM Bahalul Haque, Mir Tasrif Ahmed, and MD. Nayeem Pervez.
[Nov 2025]
Joined as Research Intern under Prof. Yanfu Zhang,
Department of Computer Science, William & Mary, Williamsburg, VA.
[Nov 2025]
Paper accepted at IEEE STI 2025 —
"Quantum-Resistant Blockchain: Enhancing Blockchain Security with ROUND5,
A Lattice-based Cryptosystem."
[Oct 2025]
Paper accepted at BIM 2025 —
"Toward Accurate Urban Temperature Forecasting in Seoul: A Hybrid Ensemble
of Bias-Corrected Machine and Deep Learning Models with Explainable AI."
[Aug 2025]
Paper submitted to IEEE STI 2025 —
"Quantum-Resistant Blockchain: Enhancing Blockchain Security with ROUND5."
[Jul 2025]
Paper submitted to BIM 2025 —
"Toward Accurate Urban Temperature Forecasting in Seoul."
Research
Research Experience
Research Intern — Dept. of Computer Science,
William & Mary
Under
Prof. Yanfu Zhang
| Nov 2025 – Present
- Designed and implemented GRUHistoryEncoder in PyTorch; integrated
across 6 CTDG architectures (TGN, TGAT, GraphMixer, DyGFormer,
DyRep, JODIE).
- Best result: TGAT+GRU — ADE 0.952m, FDE 1.664m, MR 24.7%,
outperforming V2X-Graph baseline on all metrics.
- Reproduced HiVT, TNT, DenseTNT baselines on cooperative trajectory
data; conducted WOMD shape analysis and latency benchmarks.
Publications
[Under Review]
DyV2X: Dynamic Interaction Graphs for V2X Cooperative
Trajectory Prediction
Yiran Ding, Muhammed Muminul Hoque,
Maiqi Jiang, Yongming Qin, Sidi Lu, Yanfu Zhang
IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS 2026)
[ECCE 2025]
Privacy-Preserving Digital Identity Verification:
AES-Encrypted Smart NID with Two-Factor Protection
Ekram Hossain, Puja Rani Saha,
Muhammed Muminul Hoque,
Md. Saiful Islam, Jonayed Al-Faruk, Md. Alamgir Hossain
4th International Conference on Electrical, Computer &
Communication Engineering |
[DOI]
[BIM 2025]
Toward Accurate Urban Temperature Forecasting in Seoul:
A Hybrid Ensemble with Explainable AI
Jonayed Al Faruk, Muhammed Muminul Hoque,
Md. Nawaz Shorif, Susmoy Paul, Md. Bodrul Islam, Joyonto Das
International Conference on Big Data, IoT and Machine Learning
[STI 2025]
Quantum-Resistant Blockchain with ROUND5
Lattice-Based Cryptography
Puja Rani Saha, Md. Saiful Islam, Tushar Kanti Saha,
Muhammed Muminul Hoque,
AKM Bahalul Haque, Ekram Hossain
7th International Conference on Sustainable Technologies
for Industry 5.0 |
[DOI]
[Under Review]
A Comparative Analysis of Traditional and Ensemble
Machine Learning Models for Phishing Email Detection with
Explainable AI
Muhammed Muminul Hoque,
Md. Masudur Rahman, Jonayed Al-Faruk, AKM Bahalul Haque, Mir Tasrif Ahmed, MD. Nayeem Pervez
International Conference on Emerging Communication Technologies (ECCT 2026)
Ongoing Research
[In Progress]
Adaptive Phishing Email Detection via Multiple LLMs:
A Dynamic Keyword Based Approach
(2025 – Present)
Muhammed Muminul Hoque et al.
- Developing a multi-LLM pipeline (ChatGPT, Gemini, DeepSeek,
LLaMA, Grok) for extracting phishing indicators from emails.
- Designing a continuous learning system where new phishing terms
are promoted dynamically into the keyword snapshot.
- Integrating Safe Browsing API checks and adaptive keyword stores
for real-time detection across Gmail, .eml, and CSV sources.