Find Academic Supervisors

• Combinatorial optimization
• Complex networks
• Epidemic inference
• +8 more

Luca Dall'Asta is an Associate Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin. He is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. His academic career spans multiple research projects and teaching roles within the Physics of Complex Systems program. His educational background, while not explicitly detailed in the provided information, is evident through his expertise in theoretical physics and complex systems. His research interests include combinatorial optimization, complex networks, epidemic inference, game theory, machine learning, physics of complex systems, self-organization, statistical inference for stochastic processes, statistical physics, stochasticity in biological processes, and systems biology. Dall'Asta's recent publications demonstrate a strong focus on statistical physics applications to biological systems, epidemic modeling, and network theory. His work frequently employs Bayesian inference methods, cavity equations, and dynamic modeling approaches. The research shows increasing sophistication in handling complex biological data and epidemic dynamics. Awards and Recognitions FIRB-Futuro in Ricerca (2010) National Scientific Qualification - Second Band (2012) National Scientific Qualification - First Band - Competition Sector 02/A2 (2016) Italian Society of Statistical Physics membership (2021-2025) Dall'Asta has supervised multiple PhD students including Federico Florio, Damiano Andreghetti, Mattia Tarabolo, Elisa Floris, and Fabio Mazza. His research projects include SIMBAD (2023-2027), SIBYL (2015-2017), and STATISTICAL PHYSICS METHODS FOR STRATEGIC OPTIMIZATION IN SOCIO-ECONOMIC NETWORKS (2012-2015). He has been actively involved in teaching courses such as Field Theory and Critical Phenomena and Optimal Control and Game Theory for the Physics of Complex Systems program, as well as Physics I for Aerospace and Automotive Engineering programs. He is part of the Statistical Physics and Interdisciplinary Applications research group within the Institute of Condensed Matter Physics and Complex Systems (DISAT), where he contributes to advancing the understanding of complex systems through statistical physics approaches.

Giorgio KaniadakisView profile

Professor

• Statistical Physics
• Theoretical Physics
• Complex Systems
• +4 more

Giorgio Kaniadakis is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino. His research focuses on generalized statistics, theoretical physics, and complex systems, with a strong emphasis on κ-statistics and power-law distributions. Research interests include: κ-Statistics, Power-law Distributions, Quantum Computation, Nonlinear Kinetics, Statistical Physics of Complex Systems His recent publications (2024-2016) span urban scaling laws, epidemiological models, predator-prey dynamics, and quantum statistical mechanics, often applying κ-statistics to interdisciplinary problems in physics, biology, and economics. He has organized major conferences like SigmaPhi2014, SigmaPhi2011, and SigmaPhi2008 as Program Chair. He actively teaches courses in statistical mechanics and physics at both PhD and undergraduate levels. Key teams/groups: Institute of Fundamental Physics and Materials for Nanotechnology (DISAT), Generalized Statistical Mechanics of Complex Systems

• Theoretical Physics
• Differential geometry
• General relativity
• +7 more

Lucrezia Ravera is a Fixed-term Assistant Professor in the Department of Applied Science and Technology (DISAT) at Politecnico di Torino. Her scientific disciplinary sector is PHYS-02/A - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods and Applications within Area 0002 - Physical Sciences. Her research interests span a wide range of theoretical physics topics including black holes, differential geometry, fiber bundles, general relativity, gravity, modified gravity, quantum field theory, quantum gravity, quantum mechanics, relativity, special relativity, supergravity, supersymmetry, and symmetry. She focuses specifically on theoretical physics of fundamental interactions and relationality via the "dressing field method". Her recent publications (2024-2025) demonstrate a strong focus on geometric approaches to theoretical physics, particularly in supergravity, gauge field theories, and the dressing field method. These works appear in high-impact journals including Journal of High Energy Physics, Fortschritte der Physik, and Annals of Physics, indicating significant contributions to mathematical physics and theoretical particle physics. She serves as Scientific Director/Manager for the GrIFOS research project (Group theoretical Investigation and geometric Formulation of Off-shell Supergravity in superspace), funded through PNRR Mission 4 (2025-2028). Her teaching responsibilities include Elements of Field Theory for Physics PhD students (2020/21, 2022/23, 2024/25) and Physics I & II courses across multiple engineering programs including Biomedical Engineering, Aerospace Engineering, Chemical and Food Engineering, and Management Engineering.

• Theoretical Physics
• Computational Materials Science
• Electronic Properties of Materials
• +3 more

Michele Re Fiorentin serves as a Fixed-term Assistant Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he is affiliated with the Institute of Fundamental Physics and Materials for Nanotechnology. His academic duties encompass teaching advanced courses such as Physics of electrified interfaces at the PhD level and foundational physics courses including Physics II for Engineering Physics students across multiple academic years up to 2025/26. His research program centers on theoretical and computational materials science , with primary interests in the electronic structure of nanomaterials, electrocatalysis for CO 2 conversion, and the optical properties of 2D materials. Employing ab initio quantum mechanical simulations and machine learning techniques, he investigates phenomena ranging from CO 2 reduction mechanisms on silver electrodes to defect engineering in tungsten disulfide monolayers, contributing to sustainable energy technologies and advanced material design. Analysis of his recent publications (2023-2025) reveals a pronounced focus on computational discovery of electrocatalysts for carbon dioxide valorization and the manipulation of quantum properties in low-dimensional systems. Key themes include voltage-dependent reaction kinetics, linear dichroism in monolayers, and strain engineering in van der Waals heterostructures, demonstrating an interdisciplinary approach that integrates physics, chemistry, and data science. Scientific Recognition: Learning to Teach (L2T) certification, Polytechnic University of Turin (June 2024) As a PhD supervisor, Re Fiorentin guides doctoral candidates in the Physics and Materials Science programs, currently mentoring Wei Wang (Materials Science, 39th cycle) and Michele Giovanni Bianchi (Physics, 38th cycle), while having successfully supervised Clara Salvini to completion (Materials Science, 35th cycle). His research is supported by collaborative grants investigating nanomaterials for energy applications and theoretical physics of matter. Within the Institute of Fundamental Physics and Materials for Nanotechnology, he actively participates in research teams focused on computational materials discovery, collaborating closely with senior scientists like Giancarlo Cicero and Francesca Risplendi on projects spanning electrocatalysis, 2D materials, and semiconductor physics.

• Fuel Cell Technology
• Electrochemistry
• Heterogeneous Catalysis
• +7 more

Stefania Specchia is a Full Professor at the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, specializing in chemical engineering with a focus on sustainable energy technologies. Her academic career spans multiple decades with continuous involvement in doctoral programs since 2009-2010. Her research interests encompass Direct Methanol Fuel Cells (DMFC), Electrochemistry, Heterogeneous Catalysis, Methane Combustion, Methane Reforming, Oxygen Reduction Reaction, Proton Exchange Membrane Fuel Cells (PEMFC), and Structured Catalysts. She works within the Green Energy & Engineering research group at DISAT, utilizing specialized laboratories including Gre.En2 Lab 1 and Gre.En2 Lab 2. Her recent publications focus on sustainable energy conversion technologies, particularly fuel cells and catalytic reactions for clean energy applications. The research trends show strong emphasis on developing efficient catalysts for oxygen reduction, methane combustion in structured materials, and thermoelectric materials characterization. Staff Training Mobility Program Erasmus+ (2018) Best oral presentation @ AIChE Annual Meeting 2015 Teaching Staff Mobility Program Erasmus+ (2015) Best oral presentation @ AIChE Annual Meeting 2014 Multiple Publication Awards from Polytechnic of Turin (2006-2010) Professor Specchia has supervised PhD students including Swaraj Biswas (current) and Hernan Gabriel Mazzei (2020-2024), whose thesis focused on ceramic and metallic foams for methane combustion. She leads numerous research projects including the Scientific Research Framework Agreement with IFP Energies Nouvelles (2023-2027), SOL-CARE Hybrid Renewable Energy System Integration (2016-2019), and several EU-funded initiatives. Her work aligns with Sustainable Development Goals 4, 5, 6, 7, and 13, demonstrating commitment to quality education, gender equality, clean water, affordable clean energy, and climate action.

• Social Impact of Technology
• Computer Vision
• Multimedia Processing
• +4 more

Lamberto Ballan serves as an Associate Professor within the Department of Mathematics at the University of Padua, maintaining an active research and teaching profile despite the department's mathematical focus. His position reflects the interdisciplinary integration of computer science within modern academic mathematics frameworks, with current engagement in both technical and societal aspects of digital technologies. Professor Ballan's research program spans two interconnected domains: technical computer science fields including computer vision, multimedia processing, signal analysis, machine learning, natural language processing, and knowledge representation; and sociotechnical investigations into the social impact of new technologies and digital revolution. This dual focus enables comprehensive examination of both algorithmic foundations and real-world consequences of computational systems.

David BarbatoView profile

Associate Professor

• Stochastic Differential Equations
• Fluid Dynamics
• Probability Theory
• +4 more

David Barbato is an Associate Professor in the Department of Mathematics at the University of Padua, Italy. His primary academic affiliation is with the Department of Mathematics within the School of Science at the University of Padua, where he holds the position of Associate Professor. Professor Barbato's research focuses on stochastic differential equations and their applications to fluid dynamics. His work particularly examines dyadic models, energy cascade transfer, Girsanov measure transforms on infinite differential systems, and regularity for hyperdissipative Navier-Stokes equations and Leray-α models. His research bridges probability theory and mathematical physics, with applications to understanding turbulent flows and energy transfer in fluid systems. His publication record shows consistent output over the past decade, with significant contributions to journals such as Nonlinearity, Analysis and PDE, and Stochastic Processes and their Applications. His research demonstrates strong collaborative relationships with mathematicians including F. Morandin, F. Flandoli, and M. Romito. Professor Barbato teaches several courses at the University of Padua, including Probability Calculus, Stochastic Analysis, and Fundamentals of Linear Algebra and Geometry across various degree programs. His teaching materials indicate a structured approach with detailed lecture notes, regular exercises, and comprehensive assessments.

• Statistics

Almendra Alexandra Awerkin Vargas is a Researcher in the Department of Mathematics at the University of Padua, holding the position of Affiliated Teacher. Her academic discipline is Statistics (SSD: STAT-04/A), and she is based in room 5BC11 with contact telephone 049 827 1382. Her research focuses on statistical methodologies and applications, spanning theoretical frameworks and practical implementations across scientific domains. This includes data analysis, probability theory, and quantitative modeling techniques essential for empirical research. She actively participates in departmental academic activities through teaching and research coordination. Her institutional engagement includes committee work within the Departmental Council structure and contributions to quality assurance initiatives for research and doctoral programs.

Paolo BaldanView profile

Professor

• Formal Methods for Software Reliability
• Programming Languages
• Concurrency Theory
• +6 more

Paolo Baldan is a Professor of Computer Science at the Department of Mathematics of the University of Padova, where he maintains office 6DA6. Previously, he served as an assistant professor at the University of Venice's Computer Science Department and as a PostDoc Researcher at the University of Pisa's Department of Computer Science. His research focuses on Formal Methods for Software Reliability and Programming Languages , with particular expertise in Concurrency Theory, Petri Nets, and Graph Transformation Systems. Professor Baldan has led multiple research projects including the current MUR Project RAP (2023-2025) and previous initiatives like ASPRA (2019-2022) and ANCORE (2015-2016). His publication record spans journal articles, conference papers, and technical reports in theoretical computer science. His recent work examines resource awareness in programming, program analysis techniques, and verification of concurrent systems. The publications demonstrate consistent contributions to formal methods with applications to software reliability. Professor Baldan actively participates in the academic community through conference organization and committee work, including involvement with CALCO, Petri nets conferences, and ICGT. His upcoming commitments include CSL 2026. He teaches courses including Computability , Languages for Concurrency and Distribution , and Algorithms and Data Structures at the University of Padova. Office hours are held Wednesdays 11:00-13:00, requiring advance contact for meetings.

• Geometric Control
• Optimal Control
• Impulsive Control
• +1 more

Monica Motta serves as an Associate Professor in the Department of Mathematics at the University of Padua, Italy. Her academic profile falls under SSD classification MATH-03/A (Mathematical Analysis), with primary responsibilities in teaching and research within the university's mathematical sciences division. Contact details include office room 5AB9, telephone +39 049 827 1368, and email motta@math.unipd.it. Her research expertise centers on advanced control theory with three core specializations: Geometric Control : Application of differential geometry to dynamical systems Optimal Control : Mathematical optimization of system performance criteria Impulsive Control : Systems subject to abrupt state changes and discontinuous dynamics These interconnected fields represent significant contributions to theoretical and applied mathematics. Professor Motta operates within the university's structured academic framework that includes quality assurance processes for teaching, research, and third mission activities. While her institutional web presence (http://www.math.unipd.it/~motta/) is currently inaccessible due to server restrictions, her active status is confirmed through current departmental listings, contact information, and ongoing academic role. The Department of Mathematics maintains comprehensive administrative structures including degree program coordination, research quality assessment, and support services for teaching and research activities.

• Stochastic Differential Equations
• Stochastic Finance
• Mathematical Biology
• +2 more

Stefania Ottaviano serves as a Researcher in the Department of Mathematics at the University of Padua, where she conducts specialized work in stochastic modeling and its interdisciplinary applications. Her position falls under the institutional category of “Affiliated Teachers” within the departmental structure. Her research program centers on advanced stochastic methodologies across three primary domains: Stochastic Differential Equations and their theoretical applications Stochastic Methods for quantitative finance and financial modeling Stochastic Models addressing complex systems in ecology and biological processes Contact information is maintained through the university’s official channels: email stefania.ottaviano@math.unipd.it and telephone +39 049 827 1312. Her academic workspace is located in room 4BC3 within the mathematics department facilities.

Antonio PonnoView profile

Associate Professor

• Mathematical Physics
• Hamiltonian Systems
• Quantum Mechanics
• +4 more

Antonio Ponno is an Associate Professor in the Department of Mathematics at the University of Padua, specializing in Mathematical Physics. He has been in this position since November 2014, following a Researcher tenure at the same institution from 2006-2014 and a postdoctoral position at the University of Milan from 2002-2006. His academic journey includes a Master's Degree in Physics from Sapienza University of Rome (1998) and a PhD in Physics from the University of Padua (2002). Professor Ponno's research primarily focuses on Hamiltonian Systems , with particular expertise in the Fermi-Pasta-Ulam problem and related models. His work explores the connections between nonlinear dynamics, statistical mechanics, and integrable systems. He investigates how energy transfers through complex systems, the relationship between the Fermi-Pasta-Ulam model and integrable approximations like the Toda lattice, and the emergence of macroscopic behavior from microscopic dynamics. His research spans both classical and quantum mechanical systems, with applications ranging from molecular dynamics to wave phenomena. Analysis of his recent publications (2020-2024) reveals a continued strong focus on the Fermi-Pasta-Ulam problem and its connections to integrable systems. His work demonstrates sophisticated mathematical techniques applied to fundamental questions in statistical mechanics, with recent papers examining energy cascade phenomena, Burgers turbulence in lattice systems, and the thermodynamic limit of adiabatic invariants. He has also applied his expertise in nonlinear dynamics to diverse areas including epidemiological modeling during the COVID-19 pandemic. Professor Ponno maintains an active research program with consistent publications in prestigious journals including Physical Review E, Journal of Statistical Physics, and Communications in Mathematical Physics. He teaches 'Istituzioni di Fisica Matematica' for undergraduate Physics students and 'Mathematical Physics' for Master's students at the University of Padua. His courses cover dynamical systems, Hamiltonian mechanics, and mathematical methods in physics, with detailed lecture notes that reflect his research expertise. Professor Ponno collaborates extensively with researchers including Giancarlo Benettin, Marco Gallone, and Stefano Ruffo, demonstrating strong research networks in mathematical physics both within Italy and internationally.

Francesco RanzatoView profile

Professor

• Abstract Interpretation
• Programming Languages
• Formal Methods
• +4 more

Francesco Ranzato is a Full Professor in the Department of Mathematics at the University of Padova, Italy, where he conducts research in theoretical computer science with a focus on abstract interpretation, programming languages, and formal methods. His academic career spans over three decades with continuous contributions to the field, as evidenced by his extensive publication record from 1994 through 2025. Professor Ranzato's research interests center on abstract interpretation theory and its applications to program analysis and verification. In recent years, he has expanded his work to include machine learning verification, particularly focusing on robustness certification of classifiers using abstract interpretation techniques. His work bridges theoretical foundations with practical applications, as demonstrated by multiple open-source software artifacts available on GitHub. His publication record shows a clear evolution from foundational work in abstract domains and completeness properties to practical algorithms for simulation and model checking, and most recently to applications in machine learning security. The 15 most recent publications reveal a strong focus on verifying properties of machine learning models, with particular attention to decision trees, support vector machines, and k-Nearest Neighbors classifiers. Among his notable recognitions are the POPL Distinguished Paper Award, LICS 2021 Best Paper Award, Microsoft Research SEIF award, Amazon Research Award, and the WhatsApp Privacy Aware Program Analysis Award. These awards highlight the significance and impact of his contributions to programming languages and formal methods research. Professor Ranzato maintains active research collaborations, as evidenced by his co-authored publications, and has successfully secured research funding from both academic and industry sources. His work with students and junior researchers is reflected in the numerous joint publications and the development of practical tools for abstract interpretation and machine learning verification. His research group operates through the Department of Mathematics at the University of Padova, with a strong presence in international research communities as shown by his editorial roles (e.g., editing SAS 2017 proceedings) and regular participation in top-tier conferences in programming languages and formal methods.

• Numerical Analysis
• Approximation Theory
• Quadrature and Cubature Formulas
• +5 more

Alvise Sommariva is an Associate Professor with Full Professor habilitation in Numerical Analysis (MATH-05/A) at the Department of Mathematics, University of Padua. He maintains an active research program in approximation theory and numerical analysis while contributing significantly to academic service through conference organization and editorial work. Department of Mathematics, Tullio Levi-Civita, University of Padua Visiting Professor at Jagiellonian University, Kraków Member of multiple scientific committees for international conferences Co-managing editor of Journal of Approximation Software His research focuses on Numerical Analysis and Approximation Theory, particularly Quadrature and Cubature Formulas, Multivariate Polynomial Approximation, and Meshless Methods. He develops practical computational tools for numerical integration and approximation across various geometric domains including intervals, triangles, squares, disks, spheres, and tetrahedrons. Professor Sommariva actively contributes to the approximation theory community through leadership in the RITA (Ricerca Italiana in Teoria dell'Approssimazione) research network and editorial work, including special issues dedicated to prominent researchers in the field. Editor of Special Issue Dedicated to Len Bos (2024) Scientific committee member for multiple international conferences through 2026 Regular presenter at major approximation theory conferences He teaches in the Doctoral Program in Mathematical Sciences and supervises bachelor students in the Laurea degree program at University of Padua, with particular recognition for his Numerical Analysis courses in Energy Engineering. Professor Sommariva maintains an extensive online presence with computational resources for approximation theory, including MATLAB and Python implementations of numerical methods, and actively collaborates with researchers across Europe and beyond.

Orsola TommasiView profile

Associate Professor

• Algebraic Geometry
• Moduli Spaces
• Cohomology
• +2 more

Orsola Tommasi is an Associate Professor in the Department of Mathematics at the University of Padova, where she conducts research in algebraic geometry with a focus on moduli spaces. Her academic profile demonstrates a sustained commitment to both research and teaching within the Italian and international mathematical community. Her research primarily centers on the geometry and topology of moduli spaces of curves and abelian varieties. She has made significant contributions to understanding stable cohomology, toroidal compactifications, and the topological properties of spaces related to algebraic varieties. Her work bridges theoretical aspects of algebraic geometry with concrete computational approaches to moduli problems. Professor Tommasi's publication record shows consistent productivity since her PhD in 2005, with recent work (2023-2024) continuing her exploration of moduli spaces and cohomological structures. Her research demonstrates evolution from foundational work on cohomology of moduli spaces toward more specialized questions about stability conditions and geometric structures. Federigo Enriques prize (2006) for best doctoral dissertation Marco Reni award for best Laurea thesis As an educator, Professor Tommasi teaches across multiple programs at the University of Padova, including courses for Physics and Astronomy students, the Master/Algant program, and the Department of Information Engineering. She maintains active Moodle pages for her courses and encourages early student registration. Her teaching responsibilities reflect her expertise in both foundational and advanced mathematical topics. Professor Tommasi is actively involved with the AG/NT research group in Padova and participates in the Doctoral Programme in Mathematical Sciences. She maintains international collaborations with research groups at Chalmers University of Technology/Göteborg University, TU Darmstadt, and Leibniz Universität Hannover, demonstrating her integration within the global algebraic geometry community.