Research Experience

University of Alberta · Alberta Machine Intelligence Institute (AMII)

Student Researcher · Sep 2024 – Present · Edmonton, Canada

Research Intern · Jun 2024 – Sep 2024

• ProtoECGNet: Prototype-based interpretable ECG diagnostics with low-level statement prediction under Dr. Russ Greiner, Dr. Padma Kaul, and Dr. Sunil Kalmady Vasu.
• Semantic explanations: Integrated LLMs + RAG to narrate diagnostic reasoning in cardiologist-friendly text.
• Distributed training: Exploring numerically stable, optimized training for large-scale ECG + LLM hybrids.

Information Processing and Transmission Lab

Research Student · Sep 2024 – Jun 2025 · Islamabad, Pakistan

• Designed domain-specific LLMs for 6G: network modeling, channel state prediction, dynamic spectrum allocation.
• Achieved 94.24% optimal spectral efficiency and 86.51% optimal energy efficiency in D2D wireless networks.
• Published / submitted to IEEE ICC 2025 and IEEE ComSoc 2025.

TUKL-NUST R&D Center · Deep Learning Lab

Research Student · Dec 2024 – Mar 2025 · Islamabad, Pakistan

• Worked on deep-learning-assisted EEG diagnostics and signal interpretation.
• Extended EEGFormer to better capture spatio-temporal-spectral patterns for epilepsy detection.

National Centre of Artificial Intelligence (NCAI) · Deep Learning Lab

Deep Learning Research Intern · Jun 2023 – Jan 2024 · Islamabad, Pakistan

• QuickFormer: Proposed a transformer variant with quick attention + boosters/feeblers achieving 8× faster training/inference and 10× lower memory.
• EEGFormer: Co-designed a custom transformer for epilepsy detection (85% accuracy, 0.71 F1).
• Recognition: Received “Best Deep Learning Research Intern” (Summer 2023 cohort).

Optical Networks and Technologies Lab (ONT) · NUST

Machine Learning Research Intern · Apr 2023 – Sep 2023 · Islamabad, Pakistan

• Virtual Network Embedding: Built simulation pipelines for integrated 6G networks with free-space optical components.
• Optimal BBU Placement: Extended on-going PhD work to handle 5G traffic in online settings.

High Performance Computing Lab · NUST

Research Intern · Jun 2022 – Sep 2022 · Islamabad, Pakistan

• Intelligent Parking Management: IoT-enabled framework that reduced parking search time by 35% compared to naive allocation.
• Co-authored a paper (under review at IEEE Transactions on Intelligent Vehicles).