Mir Hassan
Mir Hassan

Mir Hassan

Research Areas: Federated Learning · Edge Computing · Trustworthy ML · Distributed Systems

PhD Candidate, University of Trento (Italy) · Supervisor: Prof. Giovanni Iacca

📍 Currently based in Trento, Italy

📄 Download CV 🎓 Google Scholar 💼 LinkedIn ✉️ Email
15+
Publications
250+
Citations
3
Major Projects
4+
Years Teaching

🎯 About

I specialize in communication-efficient federated learning for resource-constrained environments, with a focus on system-level precision, reproducibility, and practical deployment at the edge. My research develops innovative methods and frameworks including GASPU, FedEdge, FedFor, and PA-FL to make distributed learning robust and production-ready.

My work sits at the intersection of distributed systems and machine learning: orchestrating resource-constrained devices, compressing and securing the learning signal, and evaluating end-to-end behavior with rigorous, reproducible pipelines. I'm passionate about building solutions that translate from paper to production, pushing evaluation beyond accuracy into reliability, privacy, safety, and sustainability.

🔬 Current Research Focus

PhD Thesis: "Communication-efficient Federated Learning for Resource Constraint Environment"
Key Projects: SUSTAIN (Horizon EIC Pathfinder), EMAI4EU (EIT Digital)

💼 Seeking New Opportunities Available Jan 2026

🎯 I am actively seeking Postdoctoral Researcher, Research Scientist, or Assistant Professor positions in Federated Learning, Edge AI, and Trustworthy ML. Open to opportunities across Europe and Nordic countries, with immediate availability from January 2026.

🎓 Positions of Interest

  • Postdoctoral Researcher (Federated Learning, Trustworthy ML, TinyML)
  • Research Scientist / Research Fellow
  • Lecturer / Assistant Professor (tenure track)

🔑 Research Keywords

  • Communication-efficient FL & model compression
  • Federated agentic systems & edge orchestration
  • Reproducible FL pipelines & benchmarks
  • Trustworthy AI & privacy-preserving ML

🌍 Availability

  • Start Date: January 2026 (flexible)
  • Location: Europe & Nordics preferred
  • Visa Status: EU resident (Italy)
  • Work Authorization: EU & Schengen area

📬 Get in Touch

Interested in collaboration or hiring?

✉️ Contact Me 📄 View CV

📰 Recent News & Updates

October 2025

💼 JOB MARKET: Actively applying for postdoc and faculty positions. Interested in collaboration? Get in touch!
🎓 PhD Defense Preparation: Finalizing dissertation and preparing for PhD defense in Expected Jan 2026.

September 2025

💼 Job Market: Actively seeking postdoc positions in Europe and Nordic countries (start: Jan 2026).

August 2025

🎯 EMAI4EU: Preparing course materials for Ethics for Trustworthy AI and Introduction to Emotion AI modules (start: 2025/26).

July 2025

📚 Survey Paper: Finalized comprehensive survey on "TinyML and 6G Edge Integration" based on reviewer feedback.
🔬 Extended Evaluation: Conducted comprehensive performance analysis of FedEdge framework with GA-based gradient masking on IoT devices.

💡 Note: This news section is updated monthly. Last update: October 2025