Gianluca Bianchin

Several PhD and Postdoc positions are currently open in my group in the broad areas of data-driven control, network control, and autonomous transportation. Please see this opening for PhDs and this opening for Posdocs. A strong mathematical background is required.

Short Bio

I am an Assistant Professor in the ICTEAM Institute at the Université Catholique de Louvain. From 2020 to 2022, I was a Postdoctoral Scholar in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. I completed the Ph.D. degree in Mechanical Engineering at the University of California Riverside in 2020. Before joining UC Riverside, I received an M.Sc. degree in Controls Engineering and a B.Sc. degree in Information Engineering from the University of Padova in 2014 and 2012, respectively.

Research Interests

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My main research interests are in the modeling, control, and analysis of societal-scale network systems, with an application focus on transportation and energy systems.

Topics of current interest:

  • Use of optimization algorithms for the control of dynamical systems

  • Control of Mobility-on-Demand systems and transportation networks

  • Security in cyber-physical systems

In the Spotlight

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News

  • [Mar 23] In our recent paper “Data-Driven Exact Pole Placement for Linear Systems” we show that the closed-loop poles of a linear system can be placed exactly at arbitrary locations without relying on any model description but by using only finite-length trajectories generated by the open-loop system!

  • [Sept 22] My interview for the CU Boulder College of Engineering is a great summary of two amazing years spent at CU and a farewell to the beautiful Boulder, CO

  • [Aug 22] In our recent paper “k-Dimensional Agreement in Multiagent Systems” we study how a group of distributed agents can compute k independent weighted means of a common vector by running a single distributed algorithm. We hope this algorithm will be utilized in distributed computing problems where agents are interested in evaluating k independent functions at a common point!

  • [Mar 22] When can we safely return to normal from the COVID-19 pandemic? At the beginning of 2021, our work on Scientific Reports predicted that a return to normal would not have been safe until the early months of 2022

  • [Dec 20] New grant! We received the AB Nexus seed grant to investigate the development of control policies for epidemics