Demand-Side Energy and Power Management in Data Centers

Robert Basmadjian holds a PhD in distributed data synchronization protocol from the University of Toulouse. After completing his doctorate, in 2009 he joined the University of Passau as a postdoctoral fellow, where he obtained his habilitation in 2019. Since then, he has been appointed as a Professor in the Department of Computer Science at the University of Passau and Clausthal University of Technology. He is currently a member of the College of Computing at UM6P as an Associate Professor and heading the Toubkal Supercomputer. He has more than 15 years of experience in the fields of teaching, research and development tackling methodologies and concepts of computer science from both classical and quantum computing perspectives. His main research interests are (1) modeling of performance-energy trade-off for HPC data centers using queuing theory methodology, (2) ML-based prediction modeling using peer-to-peer approach (use case of smart thermostats), (3) statistical and AI-based modeling for the percentage of renewables, (4) modeling, designing and optimizing quantum circuits (e.g. QRAM, arithmetic) using queuing theory, and (5) variational quantum algorithm design and quantum machine learning for renewable energy sources. He has more than 70 scientific publications in the fields of sustainable, green and quantum computing. He was a scientific and technical contributor to EU FP7 FIT4Green and ALL4 Green projects related to demand-response in data centers and also the technical coordinator of the -H2020 Electrific project.