Giulia Pedrielli

Giulia Pedrielli is currently assistant professor for the School of Computing and Augmented Intelligence at Arizona State University. She was previously postdoctoral fellow at the Department of Industrial and Systems Engineering at National University of Singapore and Department of Mechanical Engineering of Politecnico di Milano. She was also research fellow for the Institute of Industrial Technologies and Automation within the National Research Council, Italy, (ITIA-CNR). She has been a visiting doctoral student at University of California at Berkeley, Department of Industrial Engineering and Operations Research (IEOR) collaborating with Professor Lee W. Schruben and Phil Kaminsky.

She develops her research activity in the area of stochastics and simulation with a particular interest in simulation based optimization, blackbox optimization, and she develops techniques at the crossroads between optimizatio and machine learning. She has dealt with applications across life science, intelligent systems and critical infrastrucures. Within the first area, Giulia is interested in next generation biomanufacturing systems, nanotechnology, and molecular design. In the area of intelligent systems she works on digital twins with focus on safety and security. Within the context of critical infrastructures, she has looked into large scale supply chains, power and water networks and the intersection of these systems. She is increasingly involved in real time control under uncertainty in the domain of cyber-physical systems including robotics.