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Davide Fiore


PhD
Department of Electrical Engineering and Information Technology,
University of Naples Federico II
Via Claudio 21, 80125, Naples, Italy
Telephone: +39­0817683854
Fax: +39­0817683186
E­mail: davide<dot>fiore<at>unina<dot>it
Skype: fridvd


Short Bio

Davide Fiore is a postdoctoral researcher at the University of Naples Federico II working on convergence analysis and control of stochastic multiagent systems in synthetic biological applications. He received his Bachelor and Master’s degrees in Automation Engineering from University of Naples Federico II in 2010 and 2013, respectively. As visiting Ph.D. student, he spent two months at the University of Bristol, UK, and four months at the University of Cambridge, UK. In May 2017, he received his Ph.D. in Information Technology and Electrical Engineering from the University of Naples Federico II, Italy, under the supervision of Prof. Mario di Bernardo. In 2017 he did a research internship at IBM Research Ireland on distributed optimization and consensus. His research interests include nonlinear systems and control, switched and hybrid systems, complex networks, reinforcement learning, and synthetic biology.


Publications

          Preprints
  1. Perrino G., Fiore D., Napolitano S., Galdi F., La Regina A., di Bernardo M., di Bernardo D., “Feedback control promotes synchronisation of the cell-cycle across a population of yeast cells, submitted to CDC 2019biorxiv 
  2. Salzano D., Fiore D., di Bernardo M., “Ratiometric control of cell populations endowed with synthetic toggle switches, submitted to CDC 2019. arxiv

    2019

  3. Fiore D., Russo G., Resilient consensus for multi-agent systems subject to differential privacy requirements, Automatica, 2019. arxiv 
  4. Perrino G., Fiore D., Napolitano S., di Bernardo M., di Bernardo D., "Towards feedback control of the cell-cycle across a population of yeast cells", accepted for presentation to European Control Conference 2019. biorxiv 
  5. Guarino A., Fiore D., di Bernardo M., "In-silico Feedback Control of a MIMO Synthetic Toggle Switch via Pulse-Width Modulation", accepted for presentation to European Control Conference 2019. arxiv 
  6. Fiore D., Russo G., "Resilient and private consensus in multi-agent systems", accepted for presentation to European Control Conference 2019.

    2018

  7. Fiore D., Guarino A., di Bernardo M., Analysis and control of genetic toggle switches subject to periodic multi-input stimulation, IEEE Control Systems Letters, Special Issue on "Control and Network Theory for Biological Systems", 2018. The contents of this paper were also selected by CDC 2018 Program Committee for presentation at the Conference. arxiv 

    2017

  8. Fiore D., Russo G., di Bernardo M., Exploiting nodes symmetries to control synchronization and consensus patterns in multi­agent systems, IEEE Control Systems Letters, 2017. The contents of this paper were also selected by CDC 2017 Program Committee for presentation at the Conference. arxiv
  9. Fiore D., Coraggio M., di Bernardo M.,Observer design for piecewise smooth and switched systems via contraction theory, Proc. of 2017 IFAC World Congress, July 2017. arxiv 

    2016

  10. di Bernardo M., Fiore D., Switching control for incremental stabilization of nonlinear systems via contraction theory, Proc. of 2016 European Control Conference, Aalborg, Denmark, July 2016. arxiv 
  11. Fiore D., Hogan S.J., di Bernardo M., Contraction analysis of switched systems via regularization, Automatica, 2016. arxiv 

    2014

  12. di Bernardo M., Fiore D., Incremental stability of Filippov systems in R^n, Proc. of IEEE 53rd Conference on Decision and Control (CDC), Los Angeles, USA, December 2014 

Book chapters
  1. di Bernardo M., Fiore D., Russo G., Scafuti F., Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory, in “Complex Systems and Networks: Dynamics, Controls and Applications”, J. Lu, X. Yu, G. Chen and W. Yu editors, p. 313­-339, Springer Berlin Heidelberg, 2016

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