Marco Fabris received the Laurea (M.Sc.) degree (with honors) in Automation Engineering and his Ph.D. both from the University of Padua (UniPD), in 2016 and 2020, respectively. In 2018, he spent six months at the University of Colorado Boulder, USA, as a visiting scholar (funded by the awarded grant "Ing. Aldo Gini") focusing on optimal time-invariant formation tracking. In 2020-2021, he was post-doctoral fellow at the Philadelphia Flight Control Lab. in the Faculty of Aerospace Engineering, Technion - Israel Institute of Technology, Haifa. There, he was in charge to work on the project "Development of a secure-by-design approach for design and analysis of consensus networks under attack". From January 2022 to July 2023 he was post-doctoral fellow at UniPD and he focused on the projects "Preliminary study for the development of flow estimation and control algorithms in a water-channel network", "Water-channel network modeling, estimation, and control" and "Development and analysis of data-driven control methods". He is currently research fellow (RTD-A) with the Telecommunications group at the Department of Information Engineering (DEI), UniPD and he is now involved in work packages 3 and 4 of the spoke 8 "MaaS and Innovative Services", under the Centro Nazionale per la Mobilità Sostenibile (MOST).
His main research interests involve graph-based consensus theory, analysis and control resilient networks, optimal decentralized control and estimation for networked systems, data-driven predictive control and optimization strategies for mobility as a service.

Dr. Fabris fluently speaks Italian, English and Portuguese. In 2010 he spent a few months in an internship with Serai S.p.a., Legnaro (PD), where he worked as a technician on electronic devices. Since 2017, he has been in charge to assist students in their thesis activity and lectures. Also, since 2023 he has been part of the teaching faculty at UniPD.
Dr. Fabris has been co-author of more than 15 scientific papers. He is currently member of the IEEE community, the Centro studi di economia e tecnica dell'energia Giorgio Levi Cases, the Space, Aerial and Ground Control Systems (SPARCS) and the Artificial Intelligence, Machine learning and Control (AMCO). He was chair for the "Autonomous System I" session at the 18th European Control Conference in Naples. He has served as a reviewer for several journals and congresses, such as Transactions on Automatic Control, Control Systems Letters, Transaction on Industrial Informatics, Robotics and Automation Letters, American Control Conference, Mediterranean Conference on Control and Automation (MED), International Conference on Decision and Control, European Control Conference (ECC), International Conference on Robotics and Automation, International Conference on Intelligent Robots and Systems, IFAC World Congress, Neurocomputing, International Journal of Robust and Nonlinear Control. He has delivered invited seminars and conference talks at the Control Days, Israeli Association for Automatic Control, ECC, MED and IFAC World Congress.

Download Curriculum MARCO FABRIS

Google Scholar profile:
https://scholar.google.it/citations?user=rwBitYYAAAAJ&hl=it

See also the attached CV in the tab of Curriculum Vitae for more details.


List of the most relevant publications:

• "Optimal Time-Invariant Distributed Formation Tracking for Second-Order Multi-Agent Systems", by M. Fabris, G. Fattore, A. Cenedese, in European Journal of Control, 2024

• "Adaptive Consensus-based Reference Generation for the Regulation of Open-Channel Networks", by M. Fabris, M. D. Bellinazzi, A. Furlanetto, A. Cenedese, in IEEE Accesss, 2024

• "A robustness analysis to structured channel tampering over secure-by-design consensus networks", by M. Fabris, D. Zelazo, in IEEE Control Systems Letters, 2023

• "Secure Consensus via Objective Coding: Robustness Analysis to Channel Tampering", by M. Fabris, D. Zelazo, in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022

• "A general regularized distributed solution for system state estimation from relative measurements", by M. Fabris, G. Michieletto, A. Cenedese, in IEEE Control Systems Letters, 2021