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I am always looking for talented PhD researchers with interests at the intersection Systems & Control Theory, Learning and Multi-Agent Systems. At this stage, I am looking for outstanding candidates in the following areas. If interested, drop me an email!
1. Decision-making under uncertainty for autonomous agents: this program investigates the design of autonomous agents able to make optimal decisions directly from data, possibly crowdsourcing information from third parties. As such, we will conduct theoretical and algorithmic research on probabilistic data-driven optimal control. It is expected that our methodologies will have a broad range of applicability and we will indeed benchmark our results against specific applications from systems biology and smart cities . The research will develop and build upon tools from optimal control, information science and reinforcement learning.
2. Control of very-large-scale systems: we will conduct theoretical and algorithmic research on the control of very-large-scale systems. Specifically, we will investigate how to control network systems for which only a macroscopic description (via partial differential equations and/or probability densities) is known. These systems abound in nature and technology and we will apply our results to analyze and control multi-vehicle and biochemical systems. The research will develop and build upon tools from nonlinear control and information theory.
3. Multi-agent learning: this program investigates the design of multi-agent systems able to learn iterative tasks. As such, we will conduct theoretical and algorithmic research on the design of multi-agent systems able to learn how to cooperatively perform complex, repetitive, tasks. The key application focus for the algorithms will involve the design of autonomous agents (robots) able to cooperate with humans in order to fulfil a joint task. The research will develop and build upon tools from distributed optimization, decision science and multi-agent systems.
PostDoctoral Researchers
PostDoctoral Researchers
Caio César Graciani
Caio César Graciani
Caio César Graciani Rodrigues holds a D.Sc. in Computational Modeling from the National Laboratory for Scientific Computing (Brazil) and is currently a PNRR Postdoctoral Fellow at the Department of Modeling and Engineering of Risk and Complexity (MERC), Scuola Superiore Meridionale, Naples (SSM).
His research explores robust optimal control, Markov jump linear systems, and applications in engineering and macroeconomics. He also teaches probability, stochastic modeling, and data-driven mathematics at SSM
PhD Students
PhD Students
Sara Brancato
Sara Brancato
Sara Brancato graduated in Biomedical Engineering in July 2021 at the university of Naples Federico II, with a thesis about the control of a genetic circuits using reinforcement learning strategies.
She received a research fellowship under the supervision of professors Mario di Bernardo and Giovanni Russo.
Her research mainly focused on the use of data driven and learning control techniques on synthetic biological systems.
Rubén Blasco Aguado
Rubén Blasco Aguado
Rubén Blasco Aguado is a PhD student at the Scuola Superiore Meridionale of Naples, conducting research on biologically plausible neural networks under the joint supervision of Professors Giovanni Russo (University of Salerno) and Francesco Bullo (University of California Santa Barbara).
He holds a Bachelor's degree in Mathematics and a Master's in Physics and Mathematics from the University of Granada. While he has experience in epidemiological modeling, his current research interests focus on complex systems, reinforcement learning and neural networks.
Paula Diaz Monfort
Paula Diaz Monfort
Paula Diaz Monfort is a PhD student in Modelling and Engineering Risk and Complexity (MERC) at Scuola Superiore Meridionale. Her research project entitled “Data-driven architecture for agent-human interactions: from EEGs and LLMs to models and decisions” is under the supervision of Prof. Michael Richardson and Prof. Giovanni Russo.
She graduated as Bioengineer in September 2023 at University of Mendoza, Argentina, with a thesis about classification of ophthalmological images through Deep Neural Networks.
Francesca Rossi
Francesca Rossi
Francesca Rossi graduated in Automation and Robotics Engineering in July 2023 at the University of Naples Federico II.
She is a PhD student in Modelling and Engineering Risk and Complexity (MERC) at Scuola Superiore Meridionale, Naples. Her project is entitled “Towards autonomous agents that learn, control and optimize like people” and it is supervised by Prof. Giovanni Russo and Prof. Mario di Bernardo. It focuses on the design of a novel and resilient architecture for efficient decision-making.
Her current research interests include control systems, convex optimization and machine learning.
Other Collaborators
Other Collaborators
Francesco De Lellis (University of Naples - Assistant Professor)
Davide Fiore (University of Naples - Assistant Professor)
Timothy Barker (University of Bristo - Fidessa, UK)
Bernat Guillen-Pegueroles (visiting from Princeton University, USA, now in Google Research Zurich)
Gayogan Fan (visiting from Utah University, USA)
Yingqi Yu (now Postdoc at Dublin City University)
Mingming Liu (now Lecturer at Dublin City University)
Julien Monteil (now Researcher at Amazon Australia)
Wynita Griggs (now Lecturer at Monash University, Australia )
Rodrigo Ordonez-Hurtado (now Researcher at IBM Research, Ireland)
Former lab members
Former lab members
Veronica Centorrino (2021 - 2025, now at ETH Zurich - PostDoctoral Researcher)
Hozefa Jesawada (2022 - 2025, now at NYU Abu Dhabi - PostDoctoral Researcher)
Shihao Xie (2018 - 2025, now Research Scientist)
Arash Shafiei (2024-2025, now at Czech Technical University - PostDoctoral Researcher)
Emiland Garrabè (2020 - 2023, now at Sorbonne University - PostDoctoral Researcher)
Davide Gagliardi (2018-2020, now at University of Cassino - PostDoctoral Researcher)
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