Position: Senior Researcher & Associate Professor, Mykolas Romeris University · Research Collaborator, University of Trento · Get in touch →
Mir Hassan — Senior Researcher in Federated Learning and Edge AI

Senior Researcher · Mykolas Romeris University, Lithuania & University of Trento, Italy

Mir Hassan

Communication-Efficient Federated Learning & Edge AI
PhD, University of Trento

Federated LearningEdge Computing Trustworthy MLDistributed Systems TinyMLBlockchain
19+
Publications
350+
Citations
2
EU Projects
1
Best Paper Award

About

Research Overview

I am a Senior Researcher/Associate Professor at the Human Environment Technology department, Mykolas Romeris University (MRU), Vilnius, Lithuania, and a Research Collaborator at the University of Trento, Italy. I hold a PhD in Information Engineering and Computer Science from the University of Trento (2022–2025), supervised by Prof. Giovanni Iacca.

My research spans Federated Learning, Blockchain Technology, Distributed Systems, and IoT. I develop frameworks such as GASPU, FedEdge, FedFor, and PA-FL to make distributed learning robust, private, and production-ready at the edge.

Research Directions

Areas of Interest

  • Federated Learning
  • Edge AI & TinyML
  • Trustworthy & Privacy-Aware AI
  • Distributed Systems & IoT
  • Agentic AI
  • Blockchain Technology

Current Position

Senior Researcher/Associate Professor — MRU Lithuania

Senior Researcher / Associate Professor at MRU, Vilnius (Jan 2026–Present) and Research Collaborator at University of Trento (Apr 2026–Present). Open to collaborations, joint grants, and visiting positions.

  • Research collaborations in Federated Learning & Edge AI
  • Joint EU/ERC project proposals
  • Co-supervision of PhD and Master's students
  • Invited talks and visiting researcher exchanges
PrimaryMRU, Vilnius, Lithuania
SecondaryUniversity of Trento, Italy
StatusEU Resident (Italy)
Work AuthEU & Schengen

Updates

Recent News

11 July 2026
Paper Accepted: "Evolutionary Algorithm-Based Ensemble of Aggregation Strategies in Federated Learning" accepted for publication in IEEE Transactions on Evolutionary Computation (IEEE TEVC).
25 June 2026
Member: COST Action CA22168 BEiNG-WISE (Behavioural Next Generation in Wireless Systems) — Approved member of Working Groups WG1 (Cybersecurity in Emerging Wireless Communications), WG4 (Human Factors in Wireless Security), and WG5 (Legal Factors in Cybersecurity Wireless Systems).
7 May 2026
Invited Talk: "Modern AI Systems Beyond Centralized Data" — Azerbaijan State Oil and Industry University (ADNSU), Baku, Azerbaijan.
2026
Paper Accepted: "Zero-Knowledge Inspired Provenance for Trustless FL" at IEEE VTC 2026-Spring.
April 2026
Research Collaborator: Continuing collaboration with DISI, University of Trento, Italy.
January 2026
New Position: Started as Senior Researcher / Associate Professor at Mykolas Romeris University (MRU), Vilnius, Lithuania.
8 December 2025
Invited Talk: "Artificial Intelligence for a Sustainable Environment: AI Innovations for a Smart and Green World" — Mehran University of Engineering and Technology (MUET), Jamshoro, Pakistan.
June 2025
Best Paper Award: "Federated Multi-Task Learning with Dual Attention for Smart Buildings" at IEEE VTC 2025-Spring.