Department of Mathematics and Applications "R. Caccioppoli"
University of Naples Federico II
Via Cintia, Monte S. Angelo, 80126, Naples, Italy
Telephone: +390817683513
Email: davide.fiore@unina.it
Academic profile, ResearchGate profile,
Davide Fiore is Assistant Professor of Automatic Control at the Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II. He is currently working on synthetic biological applications.
He received his Bachelor's and Master’s degrees in Automation Engineering from University of Naples Federico II in 2010 and 2013, respectively.
As visiting Ph.D. student, he visited the University of Cambridge, UK, and the University of Bristol, 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.
From 2017 to 2019 he held a Postdoctoral Researcher position at the University of Naples Federico II working on convergence analysis and control of stochastic multi-agent systems in synthetic biological applications.
From May 2020 he is Assistant Professor at the University of Naples Federico II, Italy.
On February 2023 he achieved the National Scientific qualification as Associate Professor (Professore universitario di seconda fascia) in the Italian higher education system, in the call 2021/2023 for the disciplinary field of 09/G1 – Systems and Control Engineering.
His research interests include nonlinear systems and control, switched and hybrid systems, multi-agent systems, and synthetic biology.
Editorial activities:
From July 2019 to July 2022, he was Associate Editor of the EUCA Conference Editorial Board.
From July 2022 he is Associate Editor of the IEEE CSS Conference Editorial Board.
From January 2025 he is Associate Editor for IEEE Control Systems Letters.
He is Principal Investigator of the following funded research projects:
“Control of smart microbial communities for wastewater treatment”, funded from 30/11/2023 to 30/11/2025 by the Italian Minister of University and Research in the “PRIN 2022 PNRR” call. Granted budget: € 242,983
“BIOMASS - Mean-field control of biological large-scale multi-agent systems”, funded from 15/04/2021 to 15/04/2024 by the University of Naples Federico II through the programme “Finanziamento della Ricerca di Ateneo (FRA) - Linea B”. Granted budget: € 40,000
Journal Papers
G. Campanile, V. Martinelli, D. Salzano, D. Fiore, M. di Bernardo, "In silico analysis of metabolic burden effects on a multicellular integral controller", European Journal of Control, 2025. bioRxiv
V. Martinelli, D. Fiore, D. Salzano, M. di Bernardo, "Multicellular PID Control for robust regulation of biological processes" Journal of the Royal Society Interface, 2025. biorxiv
S. M. Brancato, D. Salzano, D. Fiore, G. Russo, M. di Bernardo, "Ratiometric control of two microbial populations via a dual chamber bioreactor", IEEE Control Systems Letters, 2024. bioRxiv
A. Giusti, G. C. Maffettone, D. Fiore, M. Coraggio, M. di Bernardo, "Distributed control for geometric pattern formation of large-scale multirobot systems", Frontiers in Robotics and AI, 2023. arxiv
V. Martinelli, D. Salzano, D. Fiore, M. di Bernardo, "Multicellular PD control in microbial consortia", IEEE Control Systems Letters, 2023. The contents of this paper were also selected by CDC 2023 Program Committee for presentation at the Conference. biorxiv
D. Salzano, D. Fiore, M. di Bernardo, "Ratiometric control of cell phenotypes in monostrain microbial consortia", Journal of the Royal Society Interface, 2022. biorxiv
V. Martinelli, D. Salzano, D. Fiore, M. di Bernardo, "Multicellular PI control for gene regulation in microbial consortia", IEEE Control Systems Letters, 2022. The contents of this paper were also selected by CDC 2022 Program Committee for presentation at the Conference. biorxiv
F. Auletta, D. Fiore, M. J. Richardson, M. di Bernardo, "Herding stochastic autonomous agents via local control rules and online global target selection strategies", Autonomous Robots, 2022. arxiv
V. Fusco, D. Salzano, D. Fiore, M. di Bernardo, "Embedded control of cell growth using tunable genetic systems", International Journal of Robust and Nonlinear Control, 2022. biorxiv
D. Fiore, F. Della Rossa, A. Guarino, M. di Bernardo, "Feedback ratiometric control of two microbial populations in a single chemostat", IEEE Control Systems Letters, 2021. The contents of this paper were also selected by CDC 2021 Program Committee for presentation at the Conference. biorxiv
G. Perrino, S. Napolitano, F. Galdi, A. La Regina, D. Fiore, T. Giuliano, M. di Bernardo, D. di Bernardo, "Automatic synchronisation of the cell cycle in budding yeast through closed-loop feedback control", Nature Communications, 2021. biorxiv
D. Fiore, D. Salzano, E. Cristòbal-Cóppulo, J.M. Olm, M. di Bernardo, "Multicellular feedback control of a genetic toggle-switch in microbial consortia", IEEE Control Systems Letters, 2020. The contents of this paper were also selected by CDC 2020 Program Committee for presentation at the Conference. biorxiv
A. Guarino, D. Fiore, D. Salzano, M. di Bernardo, "Balancing cell populations endowed with a synthetic toggle switch via adaptive pulsatile feedback control", ACS Synthetic Biology, 2020. biorxiv
D. Fiore, G. Russo, “Resilient consensus for multi-agent systems subject to differential privacy requirements”, Automatica, 2019. arxiv
D. Fiore, A. Guarino, M. di Bernardo, “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
D. Fiore, G. Russo, M. di Bernardo, “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
D. Fiore, S.J. Hogan, M. di Bernardo, “Contraction analysis of switched systems via regularization”, Automatica, 2016. arxiv
Refereed Conference Papers
V. Martinelli, D. Fiore, D. Salzano, M. di Bernardo, "Root Contours Guided Design of a Multicellular PID Controller", Proc. of the 33rd Mediterranean Conference on Control and Automation (MED), 2025. biorxiv
V. Fusco, D. Fiore, M. di Bernardo, D. di Bernardo, "Designing high performance whole-cell biosensors by integrating synthetic biology with control engineering", Proc. of the 63rd IEEE Conference on Decision and Control, 2024.
S. M. Brancato, D. Salzano, F. De Lellis, D. Fiore, G. Russo, M. di Bernardo, "In vivo learning-based control of microbial populations density in bioreactors", Proc. of Learning 4 Dynamics and Control (L4DC 2024), arXiv
T. Rino, F. Giannino, D. Fiore, "Feedback control of plant-soil autotoxicity via pulse-width modulation", Proc. of 2024 European Control Conference (ECC), Stockholm, Sweden, June 2024, arxiv
N. Karagiannis-Axypolitidis, D. Salzano, D. Fiore, F. Cartenì, S. Mazzoleni, M. di Bernardo, F. Giannino, “A periodic open-loop strategy to mitigate plant-soil negative feedback”, Proc. of 2023 European Control Conference (ECC), Bucharest, Romania, June 2023.
V. Fusco, D. Fiore, M. di Bernardo, D. di Bernardo, "Next generation whole-cell biosensors", Proc. of the 9th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Boston, USA, September 2022.
G. Perrino, D. Fiore, S. Napolitano, F. Galdi, A. La Regina, M. di Bernardo, D. di Bernardo, “Feedback control promotes synchronisation of the cell-cycle across a population of yeast cells”, Proc. of the 58th IEEE Conference on Decision and Control (CDC), Nice, France, December 2019. biorxiv
D. Salzano, D. Fiore, M. di Bernardo, “Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches”, Proc. of the 58th IEEE Conference on Decision and Control (CDC), Nice, France, December 2019. arxiv
G. Perrino, D. Fiore, S. Napolitano, M. di Bernardo, D. di Bernardo, "Towards feedback control of the cell-cycle across a population of yeast cells", Proc. of 2019 European Control Conference (ECC), Naples, Italy, July 2019. biorxiv
A. Guarino, D. Fiore, M. di Bernardo, "In-silico Feedback Control of a MIMO Synthetic Toggle Switch via Pulse-Width Modulation", Proc. of 2019 European Control Conference (ECC), Naples, Italy, July 2019. arxiv
D. Fiore, G. Russo, "Resilient and private consensus in multi-agent systems", Proc. of 2019 European Control Conference (ECC), Naples, Italy, July 2019.
D. Fiore, M. Coraggio, M. di Bernardo, “Observer design for piecewise smooth and switched systems via contraction theory”, Proc. of 2017 IFAC World Congress, July 2017. arxiv
M. di Bernardo, D. Fiore, “Switching control for incremental stabilization of nonlinear systems via contraction theory”, Proc. of 2016 European Control Conference (ECC), Aalborg, Denmark, July 2016. arxiv
M. di Bernardo, D. Fiore, “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
M. di Bernardo, D. Fiore, G. Russo, F. Scafuti, “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