Incoming M.A.Sc. student at Queen's University (Sep 2026), supervised by Dr. Ning Lu. Research focus: federated learning over wireless networks — communication-efficient, heterogeneity-robust, and privacy-preserving distributed ML.
Interests: Federated Learning · Wireless & Edge Systems · Privacy-Preserving ML
6 publications across TMLR, PLOS ONE, IEEE TAI, and more — full list on Google Scholar ↗.
| Repo | Description |
|---|---|
| Dream-Sleep-Apnea | Explainable neural network for sleep apnea detection from single-lead ECG · BSPC 2026 |
| MosQNet-SA | Mosquito species classification with explainable CNN-attention · PLOS ONE 2026 |
| Sensitivity-Guided-Quantum-Machine-Unlearning | Post-training data removal from variational quantum circuits with differential privacy · IEEE QPAIN 2026 |
| fed-dqn-tsr | Federated DQN for resource-aware traffic sign recognition · ICECTE 2026 |
🏅 Zelestra × AWS ML Ascend Challenge — Top 8% · Ranked 84th of 1,016 global teams · Jun 2025
🎓 IBM Data Science Professional Certificate · Verify ↗
m.masud@queensu.ca · Google Scholar · akmolmasud5.com