PhD and Postdocs openings in the areas of data-driven control, learning, and networks!
Strong mathematical background needed. To apply, please send me your CV, transcripts (for PhD), and a brief statement of purpose.

Contact Information

Fabio Pasqualetti
Fabio Pasqualetti
Professor
Department of Mechanical Engineering          
Bourns College of Engineering
University of California at Riverside
900 University Avenue
Riverside, CA, USA, 92521
Email: fabiopas(at)engr(dot)ucr(dot)edu          
Tel: +1 (951) 827-2327
Office: Bourns Hall A309
I am a Professor in the Department of Mechanical Engineering at the University of California, Riverside. I was a Postdoctoral Researcher in the Department of Mechanical Engineering at the University of California, Santa Barbara. I completed a Doctor of Philosophy degree in Mechanical Engineering at the University of California, Santa Barbara, in 2012, a Laurea Magistrale degree (M.Sc. equivalent) in Automation Engineering at the University of Pisa, Italy, in 2007, and a Laurea degree (B.Sc. equivalent) in Computer Engineering at the University of Pisa, in 2004.

My main research interests are in the areas of security for cyber-physical systems, network analysis and control, and mobile robotics. Topics of interest include:

For more details, see a description of some research projects, my publications list, and my curriculum vitae.

Selected Publications

IEEE Control Systems Letters IEEE Trans. on Control of Network Systems IEEE Control Systems Magazine Nature Communications
Automatica Nature Physics IEEE Trans. on Control of Network Systems IEEE Trans. Automatic Control

See here for a complete list of my publications.

Awards

News

Travels and invited talks

  • New MURI award from ARO to study connections between brain dynamics and RL!
  • New award from ASAP to study circuit and cell level vulnearbilities in Parkinson's disease!
  • ACC 2020 Best Student Paper Award Finalist!
  • New award from AFOSR to study data-driven methods for network systems!
  • New collaborative award from NSF to understand and control neural and cognitive systems!!
  • New award from ARO to study phase-amplitude cluster synchronization in the brain!
  • New award from AFOSR to create resilient networks against localized and strategic adversaries!
  • New award from ONR to integrate acquisition, analysis, and control in AI systems!
  • Our 3 paper (security, learning, data-driven control) have been accepted to LCSS-CDC
  • We have received two DURIP awards from ARO and ONR
  • UCOP award for UC-National Lab Center for Electricity Distribution Cybersecurity
  • Our paper on network structure and control appeared in Nature Physics
  • Press articles: Natcomm15, PLoS-CB16, ACC19-PNNL