| Elenco delle attività formative previste per i dottorandi del primo anno |
ABRO 2026 Course on Advances in Operations Research: Cooperative Games: Basic Concepts and Case Studies
data presunta: MAGGIO 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 10
docente del corso: Marcello Sanguineti qualifica: Professore affiliazione: Italiana
programma delle attività: Cooperative Games study strategic interactions among agents, which have to take decisions in order to optimize suitable objectives. They have various links to disciplines such as Economics, Engineering, Computer Science, Robotics, Political and Social Sciences, Biology, Medicine, etc. These links provide incentives for interdisciplinary research and make the role of Game Theory invaluable in a variety of applications. The Course provides the basic tools to deal with interactive problems that exploit and/or produce large amounts of data. After introducing the main concepts of cooperation, representation, stability, and fairness, the Course illustrates them in a variety of applications, by presenting several case studies. Since many such applications produce large amount of data that have to be processed, the interplay between Machine Learning and Cooperative Games is illustrated, too
Short abstract: Bilevel programming is a fascinating domain within mathematical optimization that enables the modeling of hierarchical relationships between a leader and one or more followers. In this mini-course, we will first review key concepts from polyhedral theory and optimality conditions. Next, we will introduce bilevel programming and related foundational notions. We will explore various representations and reformulations of bilevel programs in a systematic way, emphasizing approaches to solving them efficiently in practice. Additionally, we will analyze examples involving multiple leaders and followers to illustrate these concepts
modalità di accertamento finale: Discussione su articolo di ricerca
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ABRO 2026 Course on Advances in Bioengineering and bioinformatics: Best candidates and determinants of efficacy for robot assisted training for arm/leg recovery in individuals affected by stroke
data presunta: maggio 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 4
docente del corso: Giovanni Morone qualifica: Professore affiliazione: Italiana
programma delle attività:
modalità di accertamento finale: Discussione su articolo di ricerca
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2026 ABRO Course on Advances in Automatic Control: Linear Matrix Inequalities for Systems Analysis, Control, and Estimation
data presunta: giugno 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 20
docente del corso: Damiano Rotondo qualifica: Professore affiliazione: Italiana
programma delle attività: Linear Matrix Inequalities (LMIs) have become a central tool in modern systems and control theory thanks to their ability to cast a wide range of analysis and synthesis problems as tractable convex optimization programs. This PhD-level course provides a rigorous introduction to LMIs and their application to linear time-invariant (LTI) systems, beginning with fundamental concepts of LMI feasibility, Lyapunov stability analysis, and basic controller design. Building on these foundations, the course then extends the framework to robust control of systems affected by polytopic uncertainties and to gain-scheduled control design for linear parameter-varying (LPV) models. Additionally, the course will explore how LMIs naturally handle structural variations such as switched dynamics and time-delay systems. The second half of the course focuses on observer design through LMIs. Besides classical Luenberger observers, students learn how to formulate and synthesize unknown-input observers for fault detection and isolation, as well as interval observers capable of providing real-time, guaranteed state bounds under uncertainty, disturbance, and noise assumptions. The course concludes by examining emerging research directions, including data-driven LMI-based control design and the recently proposed concept of quadratic repulsiveness, highlighting new opportunities at the intersection of optimization, learning, estimation, and feedback control.
modalità di accertamento finale: Discussione su articolo di ricerca
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ABRO 2026 Course on Advances in Operations Research: Proximal Methods in Numerical Optimization
data presunta: maggio 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 10
docente del corso: Alberto De Marchi qualifica: Altro affiliazione: Estera
programma delle attività: This course offers a (biased) introduction to proximal methods, a family of algorithms at the forefront of modern numerical optimization. Starting from foundational concepts, we study the proximal point algorithm as a unifying theoretical framework. Attention then shifts to proximal-gradient methods, covering recent advances and convergence analysis under relaxed assumptions in nonconvex settings. For nonsmooth constrained problems, we move beyond classical penalty and barrier approaches to explore contemporary developments in augmented Lagrangian methods and proximal methods. The course prepares students to engage with current research literature and tackle large-scale optimization challenges
modalità di accertamento finale: Discussione su articolo di ricerca
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ABRO 2026 Course on Advances in Operations Research: Mixed Integer Non Linear Optimization: Methods and Applications
data presunta: maggio 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 10
docente del corso: Claudia D'Ambrosio qualifica: Professore affiliazione: Estera
programma delle attività: After a short refresher about mathematical optimization, linear optimization, and mixed integer linear optimization, the course focuses on the class of optimization problems called mixed integer non linear optimization (MINLO). This class of problems is one of the most general and real-world applications from a wide variety of fields can be modelled as MINLOs. The lectures cover: fundamentals of MINLO; methods for convex MINLO; methods for non convex MINLO. Along the course, examples of practical applications arising in optimization in energy systems, finance, air traffic management, are presented.
modalità di accertamento finale: Discussione su articolo di ricerca
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ABRO 2026 Course on Advances in Bioengineering and bioinformatics:
data presunta: settembre 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 8
docente del corso: Yuri Antonacci qualifica: Professore affiliazione: Italiana
programma delle attività:
modalità di accertamento finale:
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ABRO 2026 Course on Advances in Bioengineering and bioinformatics:
data presunta: settembre 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: altro - numero ore: 4
docente del corso: Silvia Muceli qualifica: Professore affiliazione: Estera
programma delle attività:
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ABRO 2026 Course on Advances in Bioengineering and bioinformatics: Robotics for Human Augmentation: Control, Feedback, and Movement Learning
data presunta: 23 ottobre 2026 - tipologia: riconducibile al progetto formativo - modalità di erogazione: Ex-cathedra - numero ore: 4
docente del corso: Alessia Noccaro qualifica: Professore affiliazione: Estera
programma delle attività:
modalità di accertamento finale:
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