Fabio Pasqualetti, PhD, is a Professor of Mechanical Engineering at the University of California at Riverside. He completed a Doctor of Philosophy degree in Mechanical Engineering at the University of California at Santa Barbara, a Laurea Magistrale degree (M.Sc. equivalent) in Automation Engineering at the University of Pisa, Italy, and a Laurea degree (B.Sc. equivalent) in Computer Engineering at the University of Pisa, Italy. He is the recipient of the 2017 Young Investigator Award from the Army Research Office and the 2019 Young Investigator Research Award from the Air Force Office of Scientific Research. His articles received the 2016 TCNS Outstanding Paper Award, the 2019 ACC Best Student Paper Award, the 2020 Control Systems Letters Outstanding Paper Award, the 2020 Roberto Tempo Best CDC Paper Award, and the 2021 O. Hugo Schuck Best Paper Award. His main research interests are in the areas of network systems, computational neuroscience, and machine learning.
Collaborating PI
Fabio Pasqualetti, PhD
University of California at Riverside
Fabio Pasqualetti, PhD, is a Professor of Mechanical Engineering at the University of California at Riverside. He completed a Doctor of Philosophy degree in Mechanical Engineering at the University of California at Santa Barbara, a Laurea Magistrale degree (M.Sc. equivalent) in Automation Engineering at the University of Pisa, Italy, and a Laurea degree (B.Sc. equivalent) in Computer Engineering at the University of Pisa, Italy. He is the recipient of the 2017 Young Investigator Award from the Army Research Office and the 2019 Young Investigator Research Award from the Air Force Office of Scientific Research. His articles received the 2016 TCNS Outstanding Paper Award, the 2019 ACC Best Student Paper Award, the 2020 Control Systems Letters Outstanding Paper Award, the 2020 Roberto Tempo Best CDC Paper Award, and the 2021 O. Hugo Schuck Best Paper Award. His main research interests are in the areas of network systems, computational neuroscience, and machine learning.
