معرفی
Hani Hamdan is a Professor of Electrical Engineering and Computer Science at CentraleSupélec, part of Université Paris-Saclay. He holds a PhD from Université de Technologie de Compiègne and has held roles including Research Engineer at CETIM, Researcher at CNRS, and Assistant Professor at Sorbonne-Paris-Nord. His research focuses on machine learning, signal processing, robotics, and telecommunications, with contributions to biomedical engineering and sustainable technologies. He leads the COMEDY and MODESTY research groups within the L2S laboratory.
Education:
- PhD in Systems and Information Technologies, Université de Technologie de Compiègne (2005)
- MSc in Industrial Control, Université Libanaise/UTC (2001)
- Engineering Diploma in Electricity & Electronics, Université Libanaise (2000)
Research Interests:
- Machine learning for healthcare and environmental applications
- Signal processing in robotics and communication systems
- Intelligent communication networks (FSO, IoT security)
- Data-driven analysis of biomedical systems and civil infrastructure
Key Contributions:
- Innovative clustering algorithms for big data (e.g., bin-EM-CEM)
- FSO communication system optimizations
- Robotics rehabilitation systems using ML-enhanced biomechanics
Awards:
- Best Paper Award for Big Data clustering (2018)
- Outstanding conference organization award (DeSE 2017)
- CIFRE doctoral scholarship (2002-2005)
Lab Affiliations: Laboratoire des signaux et systèmes (L2S), collaborating with CNRS and CentraleSupélec on interdisciplinary projects in signal processing and automated systems.
