Mir Hassan
Research Areas: Federated Learning Β· Edge Computing Β· Trustworthy ML Β· Distributed Systems
PhD Candidate, University of Trento (Italy) Β· Supervisor: Prof. Giovanni Iacca
π Currently based in Trento, Italy
Research Projects
SUSTAIN β Smart Buildings Sensitive to Daily Sentiment
SUSTAIN develops innovative technologies for smart buildings that adapt to occupants' daily sentiment and well-being. The project combines emotion AI, edge computing, and federated learning to create privacy-preserving intelligent building systems that enhance occupant comfort and energy efficiency.
EMAI4EU β European Master in Artificial Intelligence
EMAI4EU is a prestigious European Master's program in Artificial Intelligence, bringing together top universities across Europe to train the next generation of AI experts. The program emphasizes both technical excellence and ethical considerations in AI development.
Previous Projects
Blockchain-based Certificate Validation Platform
Developed an innovative blockchain-based platform for educational certificate validation, ensuring tamper-proof credential verification. The system leveraged distributed ledger technology to create a transparent and secure framework for academic credential management. This work was completed as part of my Master's thesis under Prof. Xiaohui Cui.
Satellite Link Optimization using STK
Conducted optimization analysis of satellite-to-earth station communication links using Systems Tool Kit (STK). Collaborated with SUPARCO (Space & Upper Atmosphere Research Commission) to improve link budget calculations and signal quality predictions for satellite communications. This work was completed as part of my Bachelor's thesis.
My research projects are supported by prestigious European funding programs including Horizon Europe EIC Pathfinder and the European Institute of Innovation & Technology (EIT Digital). These collaborations enable cutting-edge research in federated learning, edge AI, and trustworthy machine learning systems.