Fabio Pasqualetti

Professor, University of California at Riverside

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 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:

• Cyber-physical security and trust management: modeling and analysis of attacks and countermeasures in networked cyber-physical systems.
• Distributed control and estimation in networks: analysis and design of distributed control, estimation, and detection algorithms.
• Complex network analysis and control: characterization of fundamental limitations and tradeoffs for control and estimation in complex networks.
• Network neuroscience: design of network-theoretic theories and tools for the study of brain processes from imaging data.
• Cluster synchronization in oscillatory networks: analysis and design of structural controls for cluster synchronization in networks of oscillators.
• Robotic patrolling and persistent monitoring: design and analysis of distributed coordination algorithms for teams of autonomous robots.

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

• O. Hugo Schuck Best Paper Award, "Accuracy Prevents Robustness in Perception-based Control", May 2021
• Control Systems Letters Outstanding Paper Award, "Data-driven Minimum-Energy Controls for Linear Systems", December 2020
• Roberto Tempo Best CDC Paper Award, "A Framework to Control Functional Connectivity in the Human Brain", December 2020
• ACC Best Student Paper Award Finalist, senior author, "Accuracy Prevents Robustness in Perception-based Control", July 2020
• AFOSR Young Investigator Research Award, "Data-Driven Control of Dynamical Networks", October 2019
• ACC Best Student Paper Award, senior author, "Exact and Approximate Stability Conditions for Cluster Synchronization of Kuramoto Oscillators", July 2019
• ARO Young Investigator Award, "Design and Operation of Secure Multi-Agent Networks", September 2017
• IEEE TCNS Outstanding Paper Award, "Controllability Metrics, Limitations and Algorithms for Complex Networks", December 2016
• ACC Best Student Paper Award Finalist, co-author, "Security in stochastic control systems: Fundamental limitations and performance bounds", July 2015
• Outstanding Research Award, from the Department of Mechanical Engineering, UC Riverside, May 2015
• Best PhD Thesis Award, from the Department of Mechanical Engineering, UC Santa Barbara, March 2013
• General Chairs' Recognition Award for Interactive Papers, IEEE Conference on Decision and Control, December 2009

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			CDC, Nice, France, 11-13 Dec 19 NetSci, Burlington, VE, 27-31 May 19 ACC, Philadelphia, PA, 10-12 July 19 CDC, Miami Beach, FL, 17-19 Dec 18 APSIPA, Honolulu, HI, 12-15 November 18 ACC, Milwaukee, WI, 27-29 June 18 NSF CPS Meeting, Alexandria, VA, 13-14 Nov 17 Center for Systems and Control@USC, 23 Oct 17 CROSS Symposium, UCSC, CA, 4-5 Oct 17 CCTA, Kohala Coast, HI, 27-30 Aug 17 ICTALS, Minneapolis, MN, 20-23 Aug 17 DISC Summer School on Security/Privacy, The Hague, The Netherlands, 3-6 July 17