Presenter
Andrea Borghesi
Biography
Andrea Borghesi is an Assistant Professor, tenure-track at the Department of Computer Science and Engineering of the University of Bologna.
His research interests are focused on optimization techniques and Machine Learning approaches for complex systems and novel computer paradigms, with special attention towards power and energy-related aspects and predictive and prescriptive maintenance. His expertise spans different areas: optimization and implementation of novel scheduling policies for supercomputers; creation of Machine/Deep Learning predictive models for automated maintenance; design and deployment of fine-grained monitoring infrastructure for heterogeneous large computing machines; studying the interaction of methods from different Artificial Intelligence areas to solve problems over complex, real-world systems.
His research interests are focused on optimization techniques and Machine Learning approaches for complex systems and novel computer paradigms, with special attention towards power and energy-related aspects and predictive and prescriptive maintenance. His expertise spans different areas: optimization and implementation of novel scheduling policies for supercomputers; creation of Machine/Deep Learning predictive models for automated maintenance; design and deployment of fine-grained monitoring infrastructure for heterogeneous large computing machines; studying the interaction of methods from different Artificial Intelligence areas to solve problems over complex, real-world systems.
Presentations
Workshop
Emerging Technologies
Modeling and Simulation
Scientific and Information Visualization
W