جستجوی استاد راهنمای دانشگاهی

• Complex networks
• Multi-agent systems
• Nonlinear control
• +۵ مورد دیگر

Anton Proskurnikov is an Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino, Italy. His academic appointment spans the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. Based in office L.240, he maintains an active research program focused on control theory with applications to complex networked systems. Dr. Proskurnikov's research centers on complex networks, multi-agent systems, nonlinear control, and social network analysis, with significant contributions to understanding opinion dynamics and consensus mechanisms. His work bridges theoretical control engineering with practical applications in social dynamics, earning recognition through prestigious awards including the O. Hugo Schuck Best Paper Award (2023). His expertise spans control theory, optimization, and network analysis with implications for sustainable infrastructure and smart cities. His publication trajectory reveals a sophisticated evolution from foundational control theory toward increasingly complex applications in social dynamics and networked systems, with recent emphasis on bounded confidence models, higher-order interactions in social dynamics, and quantum optimization for complex system design. This interdisciplinary approach connects traditional control engineering with emerging challenges in social network analysis. Dr. Proskurnikov has received multiple significant awards: O. Hugo Schuck Best Paper Award (2023) from the American Automatic Control Council EPEPS Best Paper Award (2020) from EPEPS Conference Annual Reviews in Control Paper Prize (2020) from IFAC As an academic advisor, Dr. Proskurnikov currently supervises PhD student Jinze Wu in Electrical, Electronics, and Communications Engineering. His research is supported by the National Research PRIN project "Higher-order interactions in social dynamics with application to monetary networks" (2023-2025), for which he serves as Scientific Manager. He contributes to editorial boards of leading journals including IEEE TRANSACTIONS ON AUTOMATIC CONTROL and INTERNATIONAL JOURNAL OF CONTROL, reflecting his standing in the control theory community. Dr. Proskurnikov is an active member of the Automatica research group within the Department of Electronics and Telecommunications, focusing on systems, automation, and control. His collaborative work extends internationally to institutions including TU Delft, St. Petersburg National Research University, and the University of Groningen, demonstrating his strong international research presence and interdisciplinary approach to complex networked systems.

• Multivariate Analysis
• Fuzzy Clustering
• Probabilistic Graphical Models
• +۳ مورد دیگر

Vincenzina Vitale serves as a Tenure-Track Assistant Professor of Statistics within the Department of Social and Economic Sciences at Sapienza University of Rome. Her academic profile centers on advanced statistical methodologies with applications spanning economics, public policy, and sustainability initiatives. She teaches core courses including Statistics and Data Science for Sustainability and Statistical Methods and Models for Economics and Public Policy, maintaining regular office hours on Tuesdays from 12:30 to 14:30 by email appointment. Her research program focuses on multivariate analysis, specializing in innovative fuzzy clustering techniques for complex data structures such as time series, spatial data, and mixed data types. She extensively employs probabilistic graphical models, particularly Bayesian networks, for data integration and modeling challenges. This work bridges theoretical statistics with practical applications in electoral analysis, financial volatility, sports analytics, and public health domains including COVID-19 pandemic response. Analysis of her 15 most recent publications reveals a dominant trend toward developing spatially-aware and robust fuzzy clustering algorithms. These methods increasingly incorporate regularization techniques, entropy principles, and copula models to handle interval-valued data, count data, and tail dependencies. Key application areas include regional competitiveness measurement (NUTS2/NUTS3 frameworks), electoral studies, sports performance analytics, and pandemic modeling, demonstrating consistent contributions to top-tier statistical journals. No scientific awards or fellowships were documented in the available materials. While her publication record indicates significant research productivity, specific details regarding graduate student advising, research grants, or collaborative projects were not explicitly mentioned in the provided texts. Similarly, information about laboratory facilities or dedicated research teams remains undocumented in the current sources.

Claudia Califanoمشاهده پروفایل

دانشیار

• Nonlinear Systems Analysis
• Time-Delay Systems
• Digital Control
• +۵ مورد دیگر

Claudia Califano is an Associate Professor at the Department of Computer, Control and Management Engineering, University of Rome "La Sapienza". Her work focuses on nonlinear systems, time-delay systems, and digital control with applications in biomedical systems and multi-agent networks. She has held editorial roles at the IMA Mathematical Control and Information Journal and IFAC World Congress, and served as Vice Chair for Education in IFAC Technical Committee Nonlinear Systems. B.Sc. and Ph.D. in Systems Engineering from University of Rome "La Sapienza" Research Interests: Her research spans geometric control theory for nonlinear systems, dynamic feedback linearization, and time-delay systems. Recent work includes deep learning applications for non-invasive medical diagnostics and consensus protocols for multi-agent systems with communication delays. Scientific Contributions: Her publications emphasize geometric methods for nonlinear control, integrability conditions, and observer design. Key themes include accessibility-observability duality, canonical forms, and applications to diabetic gastroparesis modeling. Best Paper Presentation Award at ACC 2010 Finalist for Best Poster at IFAC'96 Senior Member of Control Systems Society Editorial board member for IEEE and IFAC Teaching Roles: • Teaching Coordinator of Master's Degree in Emergency Engineering (2001-2013) • Courses taught: Systems Theory, Fundamentals of Automatic Control, Digital Control (in English)

• Artificial Intelligence
• Bioinformatics
• Machine Learning
• +۷ مورد دیگر

Enrico Blanzieri is an Associate Professor at the University of Trento's Department of Information Engineering and Computer Science. His research focuses on artificial intelligence, bioinformatics, quantum computing, machine learning, and computational biology. He actively contributes to interdisciplinary projects such as Vitis OneGenE for gene network analysis and quantum machine learning pipelines. His teaching includes courses like Algorithms for Bioinformatics, Quantum Machine Learning, and Data Mining. Blanzieri's work bridges theoretical foundations and practical applications, with notable contributions in quantum annealing-based algorithms, gene network expansion using distributed computing, and socially-competent artificial agents. His research integrates computational methods with biological systems, addressing challenges in precision agriculture and systems biology. His recent publications emphasize quantum machine learning advancements, causal role attribution in gene networks, and ethical AI frameworks for language models. Collaborative projects include the GENE@HOME volunteer computing initiative for bioinformatics tasks. Blanzieri also engages in educational activities, supervising courses that blend theoretical computer science with real-world applications.

• Blockchain
• Cybersecurity
• Distributed Systems
• +۵ مورد دیگر

Roberto Zunino is an Associate Professor in the Department of Mathematics at the University of Trento, specializing in blockchain technologies, formal methods, and distributed systems. His research bridges theoretical computer science with practical cryptographic applications, particularly in Bitcoin and smart contract ecosystems. His research interests focus on blockchain security , smart contract formalization , and probabilistic verification . Key areas include MEV (Maximal Extractable Value) theory, UTXO-based smart contracts, and computationally sound tokenization. His work combines rigorous mathematical modeling with real-world protocol analysis, emphasizing security guarantees through formal methods. Recent publications demonstrate a strong trend toward theoretical foundations of blockchain economics and security. His 15 most recent papers (2020-2025) analyze MEV formalization, Bitcoin contract liquidity, UTXO scalability, and smart contract language design, revealing deep integration of type theory, game theory, and cryptographic primitives. Zunino actively teaches courses including Informatics , Interactive Theorem Proving (using Lean 4), and Computer Tools for Mathematics . His educational focus emphasizes formal verification, imperative programming foundations, and mathematical logic applications in computer science.

• Cloud Computing
• 5G Networks
• Programmable Data Plane
• +۸ مورد دیگر

Paolo Giaccone is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He serves as Course Coordinator for the Master's Degree in Communications Engineering and contributes to teaching in the College of Electronic, Telecommunications and Physics Engineering. His research focuses on cloud computing, 5G networks, programmable data planes, WiFi-based crowd monitoring, and network softwarization . His recent publications highlight edge computing, microservice orchestration, and resource optimization in cloud and network systems. Collaborations with researchers like Carla Chiasserini and Holger Karl dominate his work. He has received honors such as the Open badge Learning to Teach (L2T) and served as Associate Editor for IEEE/ACM Transactions on Networking. He advises PhD candidates including Antonio Calagna and Madhura Adeppady, and leads projects like SmartShires and TrialsNet for next-generation networks.

Gianluigi Pillonettoمشاهده پروفایل

استادیار

• System Identification
• Stochastic Systems
• Deconvolution Problems
• +۳ مورد دیگر

Gianluigi Pillonetto is an Assistant Professor at the Department of Information Engineering , University of Padova , where he has been employed since 2005. His academic career focuses on system identification, stochastic systems, and nonparametric regularization techniques. Born: January 21, 1975 in Montebelluna, Italy Education: Doctoral degree (1998) and PhD (2002) in Computer Science/Engineering Research roles: Visiting scholar (2000), Visiting scientist (2002), Research Associate (2002-2005) His research spans system identification, stochastic processes, and deconvolution problems, with a particular emphasis on Bayesian methods and kernel-based regularization. He has contributed to areas like distributed Gaussian regression, sparse system identification, and nonlinear stochastic modeling in physiological systems. Recent publications (2016-2021) examine Gaussian regression techniques for distributed systems, entropy-based kernel design, and nonlinear stochastic deconvolution. These works incorporate machine learning principles into control theory, focusing on applications in wireless communications, robotics, and biomedical engineering.

• Privacy and Data Protection
• Cyber Risk Assessment
• Blockchain Security
• +۳ مورد دیگر

Giulia Rafaiani is a Research Fellow and PhD Student at the Department of Information Engineering (DII), Università Politecnica delle Marche. Her work focuses on privacy-preserving technologies, cyber risk assessment frameworks, and blockchain security. She holds a Master’s in Biomedical Engineering (cum laude) and completed her undergraduate studies in the same field at the same institution. Education: Bachelor’s in Biomedical Engineering, Università Politecnica delle Marche (2017) Master’s in Biomedical Engineering, Università Politecnica delle Marche (2020) PhD Student at DII, Università Politecnica delle Marche (2021–present) Research Interests: Blockchain security and decentralized systems Cyber risk quantification and mitigation Data protection in healthcare software Ethical challenges in AI and machine learning Key Projects: “CybeRAMA” Cyber Risk Assessment Project (2020–2021), funded by Cariverona Foundation PhD research on privacy-preserving blockchain applications Lab Affiliation: Department of Information Engineering labs at Università Politecnica delle Marche.

• Industrial Engineering
• Safety Engineering
• Logistics and Supply Chain Management
• +۵ مورد دیگر

Francesco LOLLI is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering Sciences and Methods. His research focuses on industrial safety, sustainable manufacturing systems, logistics optimization, and ergonomic risk assessment. He actively contributes to advancing Industry 5.0 applications in battery remanufacturing and additive manufacturing. His work integrates technologies like Azure Kinect for ergonomic evaluations and promotes circular economy principles in energy and waste management. Education : Advanced degrees in Industrial Engineering (not explicitly detailed in the text). Research Interests : LOLLI’s expertise spans supply chain optimization, additive manufacturing cost analysis, sustainable energy systems, and occupational safety. He has pioneered methods for ergonomic risk assessment using motion capture systems and machine learning in supply chain decision-making. Publications : His recent works emphasize AM vs conventional manufacturing trade-offs, battery remanufacturing via Industry 5.0, and the role of machine learning in logistics. He has developed tools like Auto-AzKNIOSH for automated ergonomic evaluations. Awards : No specific awards mentioned in the provided texts. Advising & Grants : Active in teaching and research supervision across multiple engineering disciplines, including Management Engineering, Computer Engineering, and Mechatronics. His projects address spare parts inventory management, energy symbiosis networks, and exoskeleton efficacy in warehouses. Lab/Teams : Collaborates on interdisciplinary teams focused on industrial symbiosis, renewable energy integration, and smart logistics systems.

• Cryptography
• Coding Theory
• Algebra
• +۳ مورد دیگر

Alessio Meneghetti is a Professor at the Department of Mathematics, University of Trento. His research focuses on cryptography, coding theory, and information security, with applications to post-quantum cryptography, blockchain protocols, and secure distributed systems. He teaches courses such as Coding Theory and Applications, Cryptography, and Programming Lab, emphasizing practical implementations in Java and theoretical foundations. His work spans cryptographic primitives like threshold signatures, quantum-resistant algorithms, and consensus mechanisms. Key contributions include protocols like COB for Byzantine agreement and frameworks for group action-based multi-signatures. He has also explored quantum random number generation and linear codes' weight distributions. Publications highlight advancements in threshold cryptography, distributed key generation, and post-quantum signature schemes. His teaching integrates programming practices with mathematical rigor, preparing students for applied cryptography and computational mathematics.

Angelo Maria Petroniمشاهده پروفایل

استاد

• Political Philosophy
• Epistemology
• Public Administration
• +۷ مورد دیگر

Angelo Maria Petroni is a Full Professor in the Department of Political Science at Sapienza University of Rome and has served as Dean of the Faculty of Political Sciences, Sociology, and Communication since 2021. He has held academic positions across Italy and Europe, including at the University of Bologna, Bocconi, Salerno, and Paris-Sorbonne, and has been a Visiting Professor at Aix-Marseille III and a Professor at the Accademia Nazionale dei Lincei. His institutional roles include Director of the School of Public Administration and Scientific Director of the Olympic Higher School at CONI. Laurea in Philosophy, University of Pisa Licence en Philosophie, Université Catholique de Louvain Doctorate in Philosophy, Université Catholique de Louvain Rotary Foundation Educational Fellowship Professor Petroni's research spans political philosophy, epistemology, public administration, and the philosophy of science. He is deeply engaged with liberal thought, particularly the works of Hayek, Popper, and Luigi Einaudi, and explores themes such as scientific progress, federalism, bioethics, and the social market economy. His work often bridges philosophy, economics, and institutional reform, emphasizing rationality, freedom, and the ethics of governance. His recent publications (2018–2025) reflect a consistent focus on liberalism, scientific progress, public administration, and the impact of technology on society. Articles such as Plaidoyer pour la science pure à l’ère de l’intelligence artificielle (2025) and Scienza e liberalismo (2023) highlight his concern with preserving scientific autonomy in the age of AI, while works like Actio finium regundorum (2018) and Public administration and market regulation explore liberal frameworks for governance. His writings frequently analyze the interplay between political ideology, economic systems, and institutional design. Brunie Award for Outstanding Papers, The Mont Pelerin Society (2008) Professor Petroni has advised or collaborated with numerous institutions, including the European Constitutional Group, Aspen Institute Italia (where he is Secretary General), the Accademia Nazionale dei Lincei, and the Fondazione Luigi Einaudi. He has contributed to major policy discussions on public administration reform, RAI governance, and European constitutionalism. His career combines academic scholarship with high-level public service, notably in roles at the Presidency of the Council of Ministers and the RAI Board of Directors. He is affiliated with several research centers and editorial boards, including the Journal of Libertarian Studies, Mind and Society, and the Rivista italiana di comunicazione pubblica. His leadership roles in cultural foundations and academic councils underscore his influence in both scholarly and policy circles.

Fabio Fagnaniمشاهده پروفایل

استاد

• Dynamical systems over large-scale networks
• Distributed control and estimation
• Opinion dynamics
• +۷ مورد دیگر

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.

• Database Systems
• Data Mining
• Natural Language Processing
• +۲ مورد دیگر

Alessandro Fiori serves as an External Lecturer and Teaching Assistant at Politecnico di Torino's Department of Control and Computer Engineering (DAUIN), affiliated with the College of Computer, Film, and Mechatronics Engineering. His instructional responsibilities span database systems, data science, and data visualization courses across undergraduate and graduate programs. His research focuses on: Database system design and optimization Natural language processing for structured data Data mining techniques for complex datasets Multimodal data representation Automated content generation pipelines As a member of the Database and Data Mining Group (DBDM), he contributes to projects involving data modeling tools and NLP-driven data transformation. Recent publications (2023-2025) demonstrate a strong focus on applying natural language processing to database systems, including LLMs for schema interpretation, automated documentation generation from structured data, and multimedia content synthesis. His earlier work includes clustering algorithms for transportation data analysis.

Marijn Keijzerمشاهده پروفایل

پژوهشگر ارشد

• Computational Social Science
• Mathematical Sociology
• Network Science
• +۷ مورد دیگر

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.

• Systems Biology
• Bioinformatics
• Computational Biology
• +۹ مورد دیگر

Mario Lauria is an Associate Professor at the Department of Mathematics of the University of Trento, also affiliated with the Interdepartmental Center for Mind/Brain Sciences (CIMEC). He holds a PhD in Electrical and Computer Engineering from the University of Naples Federico II and conducted postdoctoral research at the University of Illinois and UC San Diego. He has held academic positions at The Ohio State University, TIGEM in Naples, and the Microsoft Research-COSBI Centre. His research focuses on computational methods for biomarker discovery, systems biology, and gene regulatory network analysis. Lauria has coordinated multiple EU and industry-funded projects, including work on metabolic markers of pre-diabetes and systems biology approaches to neurodegenerative diseases. Education: PhD in Electrical and Computer Engineering, University of Naples Federico II (1997) M.S. in Computer Science, University of Illinois at Urbana-Champaign (1996) Laurea in Electrical Engineering, University of Naples Federico II (1992) Research interests emphasize bioinformatics , systems biology , and high-performance computing , with applications to gene regulatory networks, diagnostic biomarkers, and multi-omics data integration. His work bridges computational methods with biological systems, particularly in aging, neurodegenerative diseases, and metabolic disorders. Publications reflect a focus on Alzheimer’s biomarkers , diabetes , and gene network analysis . Key contributions include rank-based biomarker algorithms and consensus clustering methods for metabolic profiles. His interdisciplinary approach spans computational tools (e.g., SCUDO, rScudo) and collaborative projects with pharmaceutical and academic partners. Awards include the 2012 SBV IMPROVER Challenge win and IEEE Senior Membership. He serves on editorial boards for journals like IEEE Transactions on Parallel and Distributed Systems and BMC Bioinformatics . Grants and collaborations include leadership in the EarlyBird pre-diabetes project and contributions to EU-funded initiatives like AnEUploidy . His academic service roles include coordinating the Data Science and Quantitative Biology master’s programs at Trento University. Labs/Teams: Active in the Microsoft Research-COSBI Centre for systems biology and the CIMEC interdisciplinary neuroscience hub.