Find Academic Supervisors

• Chaos theory
• Compressed sensing
• Electromagnetic interference
• +14 more

Fabio Pareschi is an Associate Professor at the Department of Electronics and Telecommunications (DET), Politecnico di Torino, where he conducts research in circuit architectures, embedded systems, and signal processing with applications in security, AI, and power electronics. He is affiliated with the VLSILAB research group and leads multiple high-impact research projects. Research Interests: Chaos theory and true random number generation for cryptographic applications Compressed sensing for secure and efficient signal acquisition EMI reduction techniques in DC-DC power converters Tiny machine learning and low-power embedded systems Circuit design for IoT and biomedical applications The recent articles highlight a strong trend in integrating compressed sensing with encryption, leveraging chaos-based randomness for security, and optimizing power electronics for EMI reduction. His work bridges theoretical foundations with practical hardware implementations in microelectronics and embedded systems. Scientific Awards: Best Student Paper Award (IEEE, 2005) Best Paper Award (IEEE, 2005) IEEE PRIME Gold Leaf Certificate (2019) BioCAS Transactions Best Paper Award (2019) Best Student Paper Award at EMCCompo (IEEE, 2019) Advising and Grants: He supervises multiple PhD students in the Electrical, Electronics, and Communications Engineering program. He is the Scientific Director of the CESOIA project (Non-EU International Research, 2025–2028) on low-complexity AI models, and leads the ECS4DRES project (EU-funded, 2024–2027) on resilient energy systems. He also heads a commercial research project on high-performance DC-DC converters (2022–2025). His editorial roles include Associate Editor for IEEE Transactions on Circuits and Systems and guest editorships in multiple IEEE journals. Labs and Teams: He is a key member of the VLSILAB Group (DET), which focuses on VLSI systems, embedded signal processing, and secure hardware design.

Fabio FagnaniView profile

Professor

• Dynamical systems over large-scale networks
• Distributed control and estimation
• Opinion dynamics
• +7 more

Fabio Fagnani is a Full Professor of Mathematical Analysis at the Department of Mathematical Sciences (DISMA) , Politecnico di Torino , Italy. He is a leading researcher in network dynamics, distributed control, and game theory, with a strong record of supervising doctoral students and leading national and international research projects. Education & Academic Background: Full Professor of Mathematical Analysis, DISMA, Politecnico di Torino 2017 Petar Kokotovic Distinguished Professor, UCSB 2019–2020 Leverhulme Visiting Professor, Royal Holloway University of London Research Interests: His research spans dynamical systems over large-scale networks , including cooperative algorithms for distributed control, estimation, and synchronization. He investigates opinion dynamics and epidemic spreading in networks, with a focus on minority influence, leadership, and heterogeneity. He also explores game theory over networks and learning algorithms in multi-agent systems. Research Trends from Publications: Recent work focuses on epidemic modeling (SIR/SIS dynamics), opinion dynamics with stubborn agents, and control of networked systems . His publications in IEEE Transactions on Control of Network Systems , Artificial Intelligence , and IEEE Control Systems Letters reflect a deep engagement with both theoretical and applied aspects of network science, including AI-driven pathfinding, coevolutionary models, and resilience analysis. Scientific Awards: 2017 Petar Kokotovic Distinguished Professor 2019–2020 Leverhulme Visiting Professor ICAPS-2020 Best Paper Honorable Mention Award PhD Supervision & Research Leadership: He has supervised numerous PhD students including Davide Sipione , Sebastiano Messina , Martina Alutto , and Roberta Raineri . He leads the Analysis and Control of Network Systems research group and has been the Principal Investigator for projects such as SUP-CHAIN-DIS (2023–2025) and Distributed AI for future mobile networks (2020). Labs & Research Groups: He is affiliated with the Analysis and Control of Network Systems group at DISMA, Politecnico di Torino, and has collaborated with institutions such as UCSB, Royal Holloway University of London, and INRIA.

Marijn KeijzerView profile

Research Fellow

• Computational Social Science
• Mathematical Sociology
• Network Science
• +7 more

Marijn Keijzer is a Research Fellow at the Institute for Advanced Study in Toulouse (IAST) and the Toulouse School of Economics (TSE) in France. His work bridges computational social science, network science, mathematical sociology, and political science, with a focus on understanding social dynamics in digital environments. Keijzer earned his PhD in Sociology (cum laude) from the University of Groningen, where he was affiliated with the Norms and Networks Cluster and the ICS. Prior to his current position, he served as a Postdoctoral researcher at the Karlsruhe Institute of Technology's Chair of Sociology and Computational Social Science. His research centers on the emergence of polarization in online social media, micro-macro transitions in opinion dynamics, and social trust. Specifically, he investigates how pro-environmental attitudes form and how to overcome barriers like false polarization, identity-based disagreement, and belief consolidation that hinder collective climate action. Keijzer employs agent-based modeling, survey methods, and experiments to study these phenomena, combining computational approaches with traditional sociological methods. Keijzer's publication record reveals a sustained focus on polarization mechanisms, with recent work examining YouTube's recommendation algorithms, noise in opinion dynamics, and the relationship between filter bubbles and polarization. His research consistently bridges theoretical modeling with empirical validation, contributing significantly to our understanding of how digital environments shape social dynamics and collective decision-making. At the Toulouse School of Economics, Keijzer teaches tutorials on Graph Analysis in the masters Econometrics and Statistics program and Data Science for Social Sciences. He previously taught at the BIGSSS Summer School in Computational Social Science in 2022 and 2023, demonstrating his commitment to training the next generation of computational social scientists.

• Psychiatry
• Mental Health
• Clinical Psychology
• +3 more

Giovanni Ostuzzi is a Temporary Assistant Professor in the Department of Psychiatry and Clinical Psychology at the University of Verona. His academic focus lies in psychiatric epidemiology, psychopharmacology, and the mental health of vulnerable populations such as migrants, refugees, and individuals with severe mental illnesses. He specializes in systematic reviews and meta-analyses to evaluate treatment efficacy and safety, particularly regarding antipsychotics, antidepressants, and psychosocial interventions. His research spans topics including PTSD treatments, suicide risk factors, and public health strategies for mental disorders. He contributes to global health initiatives, such as updating the WHO Model List of Essential Medicines and assessing medication accessibility in low-resource settings. Dr. Ostuzzi collaborates with international networks like the STAR Network to study long-acting antipsychotics and migration-related mental health outcomes. Key areas of investigation include adverse childhood experiences, pharmacovigilance of antidepressants, and interventions targeting asylum seekers. He has published extensively on the efficacy of stepped-care programs and digital medicine systems for improving mental health outcomes globally.

• Gastroenterology
• Endoscopy Techniques
• Oncological Endoscopy
• +3 more

Prof. Alessandro Repici is a Full Professor of Gastroenterology at Humanitas University Medical School and Director of the Digestive Endoscopy Unit at Humanitas Research Hospital in Milan, Italy. He specializes in advanced endoscopic techniques, including ERCP, diagnostic EUS, ESD, and stenting, with a focus on gastrointestinal malignancies and innovative endoscopic therapies. His academic career includes professorships at the University of Turin (2000–2005) and visiting roles at Georgetown University (2016) and the Mayo Clinic (2017). Educations: MD from University of Messina (1990), fellowships at Molinette Hospital (Turin), Centre Chirurgical de l'Alma (Paris), Universitatskliniken (Tubingen), and Wellseley Hospital (Toronto). Research: Over 50 studies on endoscopic innovations, including FDA/EMA-approved devices. Lead roles in international collaborations with institutions like the University of Rotterdam and Mayo Clinic. Leadership: Chair of the Italian Society of Digestive Endoscopy’s Strategic Team (2012), member of World Gastroenterology’s Publication Committee, and editorial board roles in journals like Gastrointestinal Endoscopy . He founded webendoscopy.com and organizes the IMAGE live endoscopy course. His work emphasizes AI integration in endoscopy and microbiota research in IBD.

• Clinical Psychology
• Cognitive Behavioral Therapy
• Behavior Analysis
• +3 more

Roberto Cattivelli is an Associate Professor at the Department of Psychology "Renzo Canestrari" within the University of Bologna. His work focuses on fostering healthy lifestyles and psychological well-being through evidence-based Cognitive Behavioral and Behavioral interventions. He is a member of the Psychosomatics and Clinimetrics laboratory led by Prof. Silvana Grandi and participates in national and international scientific associations with a focus on Behavior Analysis. Research interests include: Promoting intentional change through cognitive-behavioral approaches Developing sustainable scientific methods for improving human conditions Psychosomatics and clinimetrics research methodologies Behavioral analysis applications in clinical psychology Intervention strategies for psychological well-being His recent publications demonstrate consistent focus on clinical psychology interventions, with strong emphasis on: Psychological flexibility and acceptance-based therapies Chronic illness management (fibromyalgia, obesity, cardiac conditions) Pandemic-related mental health impacts Systematic reviews and meta-analyses of psychosocial interventions Advanced statistical modeling in clinical research Dr. Cattivelli is actively involved in laboratory research through the Psychosomatics and Clinimetrics group, collaborating on projects examining psychological factors in physical health conditions.

• Disordered Systems
• Field Theory
• Critical Phenomena
• +8 more

Andrea De Martino is an Associate Professor at the Department of Applied Science and Technology (DISAT) , Polytechnic University of Turin , and a member of the SmartData@PoliTO Big Data and Data Science Laboratory. He works at the physics-biology interface , focusing on disordered systems, statistical mechanics, theoretical biology, and interdisciplinary applications. Scientific Branch: PHYS-02/A - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods ERC Skills: PE1_21 (Mathematics in Sciences), PE2_18 (Statistical Mechanics), PE3_16 (Physics of Biological Systems), PE3_15 (Statistical Physics and Complex Systems) Research Interests include disordered systems, critical phenomena, equilibrium/non-equilibrium statistical mechanics, theoretical biology (information processing, population dynamics, ecosystems), and interdisciplinary applications at the physics-biology interface. His work explores collective behavior, heterogeneity-fitness relationships, and metabolic strategies under environmental variability. Articles Trends reflect expertise in statistical mechanics applied to biological systems, with focus areas spanning RNA networks , microbial metabolism , phenotypic heterogeneity , gene regulation , and multi-cellular coordination . Recent publications address out-of-equilibrium dynamics in ceRNA systems, metabolic diversity analysis, and growth rate optimization in fluctuating environments. Research Projects include SIMBAD (2023-2027) - a Marie Skłodowska-Curie Action on statistical inference for multiscale biological data. He participates in EU-funded research under Horizon Europe , focusing on MSCA Excellent Science initiatives. Teaching encompasses Physics I/II and Electromagnetism modules for Computer, Aerospace, and Automotive Engineering programs. He serves on doctoral colleges for Physics PhD programs at both Polytechnic University of Turin (2014-2025) and Sapienza University of Rome (2014-2016). Laboratories include the Statistical Physics and Interdisciplinary Applications (DISAT) research group and affiliation with the Condensed Matter Physics and Complex Systems Institute (DISAT) at Polytechnic University of Turin.

• Marine Ecology
• Environmental Modeling
• Stochastic Processes
• +3 more

Giovanni Denaro is a Researcher at the University of Palermo, affiliated with the School of Basic and Applied Sciences. His work integrates mathematical modeling with environmental and marine research, focusing on mercury bioaccumulation, phytoplankton dynamics, and climate change impacts on Mediterranean ecosystems. He teaches Mathematics for Experimental Research with Statistics in the Biodiversity and Technological Innovation program. University: University of Palermo School: School of Basic and Applied Sciences Role: Researcher (MATH-04/A) His research spans stochastic ecological modeling, deep chlorophyll maximum analysis, and marine pollution tracking. Recent publications highlight applications of computational methods to understand species interactions, contaminant transport, and ecosystem responses to environmental variability. Office hours are held in Trapani, Palermo, and via Microsoft Teams.

Renato ColucciView profile

Associate Professor

• Mathematical Analysis
• Differential Equations
• Dynamical Systems
• +4 more

Renato Colucci is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche (UNIVPM), Italy. His scientific sector is Mathematical Analysis (MATH-03/A), and he is affiliated with the School of Engineering. His contact information includes the email address r.colucci@staff.univpm.it, and he maintains regular office hours on Tuesdays from 9:00-11:00 and Fridays from 9:00-13:00 at Via Brecce Bianche 12, 60131 Ancona. Colucci's research spans theoretical and applied mathematics with a focus on differential equations, dynamical systems, and mathematical modeling. His work encompasses both pure mathematical analysis and practical applications across diverse fields including population dynamics, physical systems, and industrial processes. He has made significant contributions to the understanding of evolution equations, stability analysis, and stochastic modeling in complex systems. An analysis of his recent publications reveals a strong emphasis on nonlinear evolution equations, with particular attention to pattern formation, wave propagation, and stability properties. His research bridges pure mathematical analysis with applications in ecology, physics, and engineering. Colucci frequently investigates the qualitative properties of solutions to differential equations, including existence, uniqueness, stability, and long-term behavior, often incorporating stochastic elements to model real-world uncertainties. His advising activities and grant funding are not explicitly detailed in the available information. However, his extensive publication record suggests active research supervision and potential involvement in collaborative projects. Colucci's work appears to connect with both theoretical mathematics communities and applied researchers in various scientific domains, indicating interdisciplinary collaboration opportunities.

• Ecohydraulics
• River Habitat Modeling
• Environmental Flow Assessment
• +7 more

Paolo Vezza is an Associate Professor at the Department of Environment, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin . He specializes in ecohydraulics, river habitat modeling, and sustainable hydropower systems. Teaches River Hydraulics , Hydropower Plants , and Climate Change Adaptation courses Coordinates the Hydropower Plants Master's program Co-supervises PhD theses in Civil and Environmental Engineering Research focuses on environmental flow assessment and MesoHABSIM methodology for habitat modeling, with applications across Italy, Spain, Lithuania, Brazil, and Latvia. His work integrates hydrology , terrestrial ecology , and biodiversity conservation to address SDG 6: Clean Water , SDG 7: Affordable Energy , and SDG 14: Life Below Water . Key publications analyze fish distribution models (2015), high-gradient stream habitats (2014), and non-perennial river ecosystems (2020). He serves as Associate Editor for Frontiers in Environmental Science and contributes to international symposia.

Alice ROSIView profile

Associate Professor

• Nutrition Science
• Public Health
• Food Science
• +4 more

Prof. Alice ROSI is an Associate Professor in the Department of Food and Drug at the University of Parma, specializing in Food and Dietetic Sciences (MEDS-08/C). She holds a Master Degree in Human Nutrition from the University of Milan and a Ph.D. in Food Science from the University of Parma. Her research focuses on eating behavior, nutrition education, and sustainable dietary patterns, particularly targeting children and adolescents. Current projects include European/national initiatives on diet evaluation, food choices, and edutainment applications for nutritional coaching. Teaching responsibilities include courses such as Fundamentals of Applied Nutrition and Evaluation of Nutritional Status and Individual and Community Dietetics in the Second Cycle Degree in Human Nutrition Sciences. She contributes to programs like SWITCHtoHEALTHY (Mediterranean dietary transitions) and PROMEDLIFE (school-based Mediterranean diet interventions). Professional affiliations include the Italian Human Nutrition Society (SINU Young Working Group) and the NNedPro Global Centre for Nutrition. Her work addresses food sustainability, public health policy, and innovative educational tools for nutrition promotion. Recent research explores the environmental impact of diets, biomarkers of dietary intervention effects, and digital nudging strategies in food choice behavior.

Giorgio PicciView profile

Professor

• Stochastic Systems
• System Identification
• Control Theory
• +2 more

Giorgio Picci is a Full Professor in the Department of Information Engineering at the University of Padova, Italy, holding this position since 1980. His academic career includes prior roles as Lecturer (1970-1975) in Statistics, Researcher (1973-1980) at LADSEB-CNR, and Associate Professor (1975-1980) in Electrical Engineering at the same institution. International appointments include Brown University, MIT, University of Kentucky, Arizona State University, Kyoto University, and Washington University. He received his Dr. Engineering degree (cum laude) in Electronic Engineering from the University of Padova in 1967. Professor Picci's research pioneered a geometric framework for stochastic systems centered on Markovian Splitting Subspaces , providing probabilistic analogs of state-space concepts. This work revolutionized understanding of minimality in stochastic models and solved noncausal estimation problems. Current research focuses on: Subspace Identification : Addressing closed-loop systems and statistical properties of multivariable system identification Reciprocal Processes : Modeling finite-support signals (e.g., images) to eliminate border effects of traditional methods Mechanical Systems Identification : Using variational integrators for well-conditioned recovery of continuous-time parameters His publication record (2002-2014) demonstrates deep integration of control theory, linear algebra, and statistical estimation. Key trends include unifying subspace identification algorithms, advancing covariance extension for reciprocal processes, and developing robust methods for ill-conditioned identification problems in mechanical systems. Professor Picci leads the Padova research unit that developed breakthrough closed-loop subspace identification algorithms. His collaborations span global institutions including the Royal Institute of Technology (Stockholm) and MIT, with ongoing work on recursive identification and statistical properties of subspace estimates.

Riccardo PatriarcaView profile

Assistant Professor

• Resilience Engineering
• Risk Management
• Industrial Systems Engineering
• +4 more

Riccardo Patriarca is an Assistant Professor in Industrial Systems Engineering at Sapienza University of Rome's Department of Mechanical and Aerospace Engineering, part of the Faculty of Civil and Industrial Engineering. He holds adjunct professor and lecturer roles in courses such as Operations Management and Risk Management. His research focuses on resilience engineering, risk assessment, and safety management in complex socio-technical systems, including aviation, industrial plants, and critical infrastructures. He co-founded aiComply, a Sapienza spin-off addressing risk and compliance challenges. His work combines theoretical frameworks (e.g., STAMP, FRAM) with practical applications in cyber-physical systems and emergency response. Education: BSc and MSc in Aerospace/Aeronautical Engineering (Sapienza), PhD in Industrial and Management Engineering (2017). Postdoctoral research at Sapienza (2018–2021) and collaborations with Lund University and Eurocontrol. He has authored over 100 peer-reviewed papers, edited journals including Safety Science and Reliability Engineering , and serves as a guest editor for Sustainability . Research highlights include systemic safety analysis for advanced air mobility (eVTOLs), Bayesian methods for hydrogen safety, and resilience metrics for healthcare systems. Awards include the Royal Aeronautical Society Young Person Award (2017), Forbes 30 Under 30 (2019), and National Academic Qualification as Associate Professor (2018). His work bridges academia and industry, emphasizing human factors and digital transformation.

Michele MancusiView profile

Researcher

• Deep Learning
• Source Separation
• Generative Models
• +3 more

Michele Mancusi is a Senior Research Scientist at Sony and holds a Ph.D. in Computer Science from Sapienza University of Rome, where he remains affiliated with the GLADIA research group under Prof. Emanuele Rodolà. He earned dual degrees in Physics (Quantum Information) from Sapienza, blending computational and theoretical expertise. His research focuses on deep learning applications in audio signal processing, including source separation techniques for music and ecological monitoring. Notable contributions include data-driven methods for marine biodiversity assessment via fish vocalization analysis and innovations in diffusion models for high-resolution audio generation. His work bridges academia and industry, with publications in top venues like ISMIR, ICASSP, and ICLR. Research interests emphasize generative models (autoregressive/diffusion), music technology, and interdisciplinary applications in environmental science. Recent efforts explore coherence-oriented audio representation learning (COCOLA) and inference-time optimizations for music mastering processors (ITO-Master). Publications reflect a trend toward real-world impact, such as accelerating transformer-based translation systems and developing latent diffusion techniques for timbre transfer. Collaborations include cross-disciplinary projects with marine biologists to advance biodiversity tracking through passive acoustic monitoring.

• Public Economics
• Health Economics
• Pharmaceutical Markets
• +4 more

Paolo Pertile is a Full Professor at the Department of Economics, University of Verona, specializing in Public Economics (ECON-03/A). His research focuses on health economics, pharmaceutical markets, regulation and innovation, with particular expertise in analyzing the economic implications of public policy programs from inter- and intra-generational equity perspectives. Position: Full Professor Affiliation: Department of Economics, University of Verona Research Areas: Public Economics, Health Economics, Pharmaceutical Markets Office: Polo Santa Marta, Floor 1, Room 1.83 Contact: paolo.pertile@univr.it | +39 045 802 8438 Professor Pertile's research interests span public economics with a strong emphasis on health economics. His work examines the relationship between regulation and innovation in healthcare technologies, optimal investment decisions under uncertainty, and the economics of pharmaceutical markets. He also investigates the economic implications of public policy programs regarding equity and efficiency across generations using life-cycle perspectives. His research employs quantitative methods including microeconomic modeling, applied microeconomics, and innovation analysis. Analysis of Professor Pertile's recent publications reveals a strong focus on pharmaceutical regulation, pricing policies, and health technology assessment. His work consistently addresses the tension between promoting innovation in pharmaceutical markets while ensuring equitable access to medicines. The research demonstrates sophisticated application of microeconomic theory to complex healthcare policy questions, with particular attention to international spillovers in pricing regulations, orphan drug legislation effects, and dynamic contracting models for health services. His methodological approach often combines theoretical modeling with empirical analysis of real-world policy implementations. Professor Pertile holds significant administrative responsibilities within the Department of Economics, serving as Chair of the Research Committee and as Research Quality Assurance Referent. He actively participates in multiple departmental governance bodies including the Economics Department Council and various teaching committees. His teaching portfolio includes Health Economics, Project Appraisal, and Project Evaluation courses across Bachelor's, Master's, and PhD programs. His research projects include "Valutazione della performance e dei costi delle aziende ospedaliero-universitarie italiane" (started 2017), "Efficient and Equitable Regulation for Health Care Innovation" (started 2017), and "Analisi empirica della relazione tra regolamentazione dei mercati sanitari e decisioni di investimento in ricerca e sviluppo" (started 2017). Professor Pertile is also involved with research centers including CRIEP (Centro di Ricerca Interdipartimentale sull'Economia Pubblica) and CIDE (Centro Interuniversitario di Econometria).