جستجوی استاد راهنمای دانشگاهی

Fabio Presaghiمشاهده پروفایل

دانشیار

• Developmental Psychology
• Clinical Psychology
• Social Psychology
• +۹ مورد دیگر

Prof. Fabio Presaghi is an Associate Professor of Psychology at Sapienza University of Rome, affiliated with the Department of Psychology of Developmental and Socialization Processes. He holds roles such as Editor-in-Chief of Psychology Hub , Vice-President of the Master's Program in Psychology of Communication and Marketing, and Academic Director of International Mobility for the same program. His research focuses on advanced statistical methods (e.g., SEM, multilevel modeling, meta-analysis) applied to developmental, clinical, and social psychology. Key interests include self-injury measurement, alexithymia in youth, and the psychosocial impact of digital technology addiction. Presaghi has led projects funded by grants such as the 2008 initiative for adapting the Children's Somatization Inventory. His work spans studies on emotion regulation, moral development, and the effects of mindfulness interventions on adolescents. Current projects include developing non-clinical and clinical self-injury assessment tools for publication in Psychiatry Research and European Psychiatry . He teaches courses like Statistical Research Methods for medical students and Multivariate Analysis Techniques for psychology students, using online platforms like Moodle and Google Classroom. His institutional roles include serving on the Ethical Committee for Transdisciplinary Research and the Quality Board of the Psychology of Communication and Marketing program.

Antonio Pecchiaمشاهده پروفایل

پژوهشگر

• Deep Learning
• Cybersecurity
• Empirical Software Engineering
• +۱ مورد دیگر

Antonio Pecchia is a Researcher at the Department of Engineering within the University of Sannio . His work focuses on the dependability and security of distributed software systems , employing methodologies from deep learning , empirical software engineering , and operational data analysis to develop next-generation resilient systems . Academic Rank: Researcher University: University of Sannio School: College of Engineering Department: Department of Engineering Research interests include: Deep Learning for anomaly detection and intrusion prevention Cybersecurity with emphasis on denial-of-service attacks, malware detection, and network traffic analysis Empirical Software Engineering for dependability evaluation and fault tolerance Parallel and Distributed Computing in mission-critical systems His 15 most recent publications (2023–2025) demonstrate a consistent focus on: Intrusion detection using deep autoencoders and federated learning in IoT/CPS environments Critiques on the validity of public datasets like CICIDS2017 for cybersecurity research Fake news propagation analysis through topic modeling and bipartite graphs Proactive security testing frameworks like DEFEDGE for edge-cloud systems Scientific contributions include: IEEE Member Founder of the International Workshop on Reliability and Security Data Analysis (RSDA) Guest Editor for IEEE Transactions on Dependable and Secure Computing Editor-in-Chief of the International Journal of Open Source Software and Process Collaborations span institutions in Europe, Asia, and North America , with co-authors like Marta Catillo , Umberto Villano , and Domenico Cotroneo .

• Nonlinear Optics
• Photonics
• Plasmonics
• +۴ مورد دیگر

Marini Andrea is an Associate Professor affiliated with the University of L'Aquila and the CNR Institute for Superconductors, Innovative Materials, and Devices. His work focuses on nonlinear optics, plasmonics, nanomaterials, and ultrafast phenomena. Key research areas include phase-matched nonlinear processes in layered semiconductors, chiroptical sensing using plasmonic nanostructures, and the development of novel photonic devices. He has over 120 peer-reviewed articles, with recent contributions published in Nature Photonics , Physical Review A , and ACS Photonics . His studies explore topics such as topological light bullets in graphene-based metamaterials and nonlinear dynamics in near-zero-index materials. Research interests span quantum optics, nanostructured materials, and ultrafast optical processes, with applications in photonics and sensing. His work often integrates theoretical and computational approaches, leveraging tools like the Yambo code for excited-state simulations. Collaborations involve institutions worldwide, including CLEO, Frontiers in Optics, and international conferences on metamaterials and plasmonics. Marini’s contributions address challenges in optical signal processing, energy-efficient photonics, and novel materials for next-generation photonic technologies. His lab focuses on advancing fundamental understanding and practical applications of light-matter interactions at nanoscale dimensions.

• Geotechnical Engineering
• Slope Stability
• Earthquake Engineering
• +۷ مورد دیگر

Ernesto Ausilio is an Associate Professor in the Department of Civil Engineering at the University of Calabria, Italy. He is actively engaged in teaching and research, with a strong focus on geotechnical engineering and seismic risk assessment. His academic work spans numerical modeling, landslide analysis, soil-structure interaction, and geotechnical monitoring of critical infrastructure. Research Interests: His primary research areas include slope stability, earthquake-induced landslides, seismic ground motion analysis, and geotechnical modeling for infrastructure resilience. He employs advanced numerical methods and data-driven approaches such as machine learning and time-frequency analysis to study complex geotechnical phenomena. The recent publications highlight a consistent trend in applying innovative computational techniques—including metaheuristic algorithms and random forest models—to solve practical geotechnical problems related to seismic stability, liquefaction, and infrastructure safety. His work often involves case studies from Southern Italy and Japan, emphasizing real-world applicability and multidisciplinary approaches. Scientific Contributions: While no formal awards are listed, his extensive publication record in high-impact journals and conferences reflects significant scholarly contributions to geotechnical earthquake engineering. Teaching and Mentorship: He teaches courses such as Geotechnical Engineering and Geotechnical Design at both undergraduate and graduate levels. Although no students are listed, his role in research groups suggests advisory and collaborative mentorship. He is involved in research projects and supervises laboratory activities related to geotechnics. Laboratories and Research Groups: He is a member of the Geotechnical Engineering Research Group, focusing on porous media mechanics, numerical modeling of slope failure, seismic response analysis, and ground improvement techniques. He is associated with the Geotecnica Laboratory within the Department of Civil Engineering, supporting research, teaching, and technical services.

• Calculus of variations
• Partial differential equations
• Geometric measure theory
• +۴ مورد دیگر

Filippo Cagnetti is an Associate Professor (Professore di II fascia) in the Department of Mathematical, Physical and Computer Sciences at the University of Parma , Italy. He regularly teaches foundational courses such as Calculus 2A and Mathematical Analysis A to first- and second-year students enrolled in Mathematics, Geological Sciences (Earth Sciences), and Management Engineering degree programmes, spanning academic years from 2023/2024 through 2025/2026. His research lies at the intersection of calculus of variations , partial differential equations , and geometric measure theory . A recurrent theme is the rigorous derivation of effective models for materials with microstructures via deterministic and stochastic homogenisation , particularly for free-discontinuity problems that describe brittle fracture. Parallel efforts focus on symmetrisation inequalities (Pólya–Szegö, Steiner, Schwarz, Gaussian) and their rigidity properties: under which geometric or analytic conditions equality in an inequality forces the domain to be symmetric or even trivial. Over the past decade his publication portfolio shows a clear evolution from foundational results on viscosity solutions and large-time behaviour of Hamilton–Jacobi equations to highly specialised contributions on Korn- and Poincaré-Korn-type inequalities in spaces of special functions of bounded deformation (GSBD), and on optimal regularity of free boundaries in cohesive fracture models. The techniques employed combine Γ-convergence, fine properties of BV and GSBD spaces, measure-theoretic arguments, and stochastic two-scale convergence. Contact: Email: filippo.cagnetti@unipr.it

Clara Stegehuisمشاهده پروفایل

دانشیار

• Probability Theory
• Graph Theory
• Stochastic Networks
• +۱۱ مورد دیگر

Clara Stegehuis is an Associate Professor in the Mathematics of Operations Research group at the University of Twente . Her research sits at the intersection of probability theory, graph theory, and stochastic networks, with applications in network science, physics, and computer science. Education: PhD in Networks with Communities and Clustering from Eindhoven University of Technology (2019), M.S. and B.S. in Applied Mathematics from University of Twente Academic Positions: Associate Professor (2022–present) and Assistant Professor (2019–2021) at University of Twente Her research focuses on epidemic spreading/percolation processes on random graph models, network motif analysis, asymptotic network properties (degree-degree correlations, clustering), and geometric networks. She investigates how network structures influence robustness and connectivity patterns in complex systems like social media, internet infrastructure, and biological networks. Key grants include: NWO M-2 grant (2022) for chemical reaction network analysis NWO Veni grant (2020) for subgraph pattern research KWG PhD prize (2018) She actively contributes to academic service as: Board member of Netsci NL Board member of The Young Academy at University of Twente (2019) Organizer of YEP XV workshop

Marco Veneroniمشاهده پروفایل

دانشیار

• Partial differential equations
• Calculus of variations
• Liquid crystals
• +۱۸ مورد دیگر

Marco Veneroni is Associate Professor at the Department of Mathematics , University of Pavia . His research spans multiple fields including Partial Differential Equations , Calculus of Variations , and Optimal Transportation , with applications to materials science, biology, and engineering. Specializes in gradient flows and Wasserstein metrics for imaging and chemical processes Contributes to stochastic homogenization and elasto-plasticity models Research includes nematic liquid crystals , diblock copolymers , and cardiac electric field modeling Veneroni teaches courses like Mathematical Analysis and Advanced Mathematical Methods . He has supervised numerous students through tutoring programs and pre-course initiatives . His work involves collaborations across McGill University , TU Dortmund , and Università degli Studi di Pavia .

• AI Explainability
• AI Transparency
• Web Science
• +۳ مورد دیگر

Marco Brambilla is a Full Professor of Computer Science and Engineering at Politecnico di Milano, Italy. He leads the Data Science Lab within the DEIB (Department of Electronics, Information and Bioengineering) and serves as director of the Computer Science and Engineering B.Sc. and M.Sc. curricula at the university. His research focuses on AI Explainability and Transparency , Web Science , Big Data Analysis , Social Media Analytics , and Model-driven Development . He is the co-inventor of the Interaction Flow Modeling Language (IFML) standard by the OMG and holds 2 patents on crowdsourcing and multi-domain search. His recent scholarly work demonstrates expertise across multiple domains of computer science, with particular emphasis on graph-based RAG architectures for energy efficiency, human-AI interaction studies, and interpretable network visualizations for CNN-based image classification. His publications show a consistent focus on practical applications of theoretical computer science concepts. Co-inventor of IFML standard by OMG 2 patents on crowdsourcing and multi-domain search GSE Academic Award for Excellence for correlating twitter sentiment analysis and stock price variations Author of multiple books including Model Driven Engineering in Practice , Web Information Retrieval , and Model-Driven UI Engineering of Web and Mobile Apps with IFML Professor Brambilla has been involved in the creation of four startups: WebRatio, Servitly, Fluxedo, and Quantia. He teaches Enterprise ICT Architectures, Systems and Methods for Big and Unstructured Data, Web Science, Digital Innovation Lab, and Model-driven Engineering courses. His Data Science Lab at Politecnico di Milano drives research in multiple cutting-edge areas of computer science and AI.

Emilio Leonardiمشاهده پروفایل

استاد

• Communication Networks
• Complex Systems
• Epidemic Spreading
• +۷ مورد دیگر

Emilio Leonardi is a Full Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, Italy, since 2015. His research focuses on communication systems, complex networks, epidemic spreading, and online social networks. He has held visiting roles at INRIA (2016-2017), NEC Laboratories Europe (2012), and collaborated with institutions like UCLA, Bell Labs, and Stanford. Key research areas: Telecommunications and network engineering Stochastic processes in network modeling AI-driven caching and content delivery Social network temporal dynamics Epidemic propagation on graphs Recent publication trends highlight his expertise in similarity caching algorithms, federated learning, re-identification attacks, and generative AI applications in information retrieval. His work spans both theoretical modeling and practical implementation in real-world networks. Scientific recognition: Best Paper Award at IEEE Globecom (2002) Multiple IEEE/ACM conference awards (2006, 2012) Guest Editor for IEEE special issues Editorial board member of IEEE Transactions Teaching and mentoring: Main teacher for PhD courses in Electrical, Electronic and Communications Engineering, including Stochastic processes and queuing theory and Operational research . Supervised PhD student Franco Galante (2020-2024) on social interaction modeling. Labs and collaborations: Member of TNG research group at DET. Participated in European projects like NAPA-WINE (FP7), COOPERATION-ICT, and national PRIN initiatives. Industry collaborations with Lucent, IBM, Microsoft Research, and NEC.

Maria Cristina Molinariمشاهده پروفایل

پژوهشگر

• Political Economy
• Game Theory
• Social Network Analysis
• +۵ مورد دیگر

Maria Cristina Molinari is a Researcher at the Department of Economics , Ca' Foscari University of Venice. Her work bridges Political Economy , Game Theory , and Social Network Analysis , with a focus on historical institutional design and corruption dynamics. Research interests include: Electoral systems in pre-modern republics Corruption and privatization Marital network structures Lot-based selection mechanisms Her recent publications emphasize computational social science approaches to historical data, particularly Venetian governance and Genoese voting systems. Teaching responsibilities involve Political Economics courses for undergraduate programs. She is affiliated with the Economics Degree Commission and Economics Department Board , with research funded by MIUR (PRIN 2008-2010: Information markets and institutional efficiency ). Publications span peer-reviewed journals, book chapters, and educational textbooks.

Roy Cerquetiمشاهده پروفایل

استاد

• Quantitative Methods for Economics and Finance
• Data Science
• Complex Networks Analysis
• +۵ مورد دیگر

Roy Cerqueti is Full Professor of Statistics at Sapienza University of Rome where he serves as Director of the Doctoral School in Economics and Social Sciences. He is affiliated with the Department of Social and Economic Sciences and maintains a research affiliation with GRANEM at the University of Angers, France. Previously, he held a part-time professorship at London South Bank University, UK. His research focuses on quantitative methods for economics and finance, data science, and complexity theory. His work spans complex networks analysis, statistical modeling, and applications to financial systems, social dynamics, and policy evaluation. Recent publications demonstrate expertise in Benford's Law applications, cryptocurrency market analysis, social media analytics, and systemic risk assessment in financial networks. Cerqueti's publication record shows strong trends in network science applications to economic systems, with increasing focus on sustainability, social media analytics, and financial market stability. His 2024-2025 work integrates advanced statistical techniques including Random Matrix Theory, fuzzy clustering methods, and multilayer network approaches to analyze complex economic phenomena. He has served as a review panel expert for COST Action proposals (2017-2019) under appointment by the Italian Ministry of Education, University and Research. Cerqueti holds multiple editorial positions and regularly serves as referee for scientific journals and institutions. His teaching portfolio includes courses in International Statistics and Quantitative Methods for Economics at the undergraduate level. As Director of the Doctoral School, he oversees advanced research training in Economics and Social Sciences. He has delivered invited seminars and courses at prestigious international universities, demonstrating global academic engagement. Cerqueti leads research projects including "Analysis of rankings and preference data: new methods and applications" and has participated in numerous national and international research initiatives as Principal Investigator. His lab work focuses on network-based approaches to economic and social systems, with particular emphasis on computational methods for complex data analysis.

Aris Anagnostopoulosمشاهده پروفایل

استاد

• Stochastic Analysis of Dynamic Processes
• Modeling and Mining in Social Networks
• Data Mining and Algorithms for the WWW
• +۳ مورد دیگر

Aris Anagnostopoulos is a Professor at the Department of Computer, Control, and Management Engineering (Dipartimento di Ingegneria Informatica, Automatica, e Gestionale) at Sapienza University of Rome since April 2012. His academic journey includes a Marie-Curie fellowship at Sapienza University and a postdoctoral position at Yahoo! Research in Santa Clara, CA. His educational background includes: Ph.D. in Computer Science, Brown University, Providence, RI Sc.M. in Applied Mathematics, Brown University, Providence, RI Sc.M. in Computer Science, Brown University, Providence, RI Diploma in Computer Engineering and Informatics, University of Patras, Patras, Greece Professor Anagnostopoulos's research focuses on the design and analysis of algorithms with applications in data mining and data science. His work spans stochastic analysis of dynamic processes, social network modeling and mining, WWW algorithms, randomized and approximation algorithms, information retrieval, and information security. His research has evolved to address contemporary challenges in federated learning, knowledge graphs, and ethical AI considerations in recommendation systems. His recent publications demonstrate a strong trend toward addressing real-world applications of data science and machine learning, particularly in healthcare, social media analysis, and privacy-preserving techniques. His work shows increasing interdisciplinary collaboration, especially with medical researchers, while maintaining strong theoretical foundations in algorithm design. Among his notable scientific awards are: Google Focused Research Award (1 of 6 PIs), 1M USD Junior Fellow, School for Advanced Studies, Sapienza University of Rome Personal research grant, Swedish Research Foundation, 200K euro, 2011 (declined) Best Poster Award, 4th International Conference on Web Search and Data Mining (WSDM 2011) Marie Curie International Incoming Fellowship, 160K euro, 2010 Paris Kanellakis Fellowship, Brown University Runner Up, Best Paper Award, 14th International World Wide Web Conference 2005 (WWW 2005) Professor Anagnostopoulos serves as the academic responsible for mobility (RAM) for the Data Science master's program and has developed comprehensive teaching materials for data science education. He teaches courses including Social Networks and Online Markets, Algorithmic Methods of Data Mining, Data Mining, and Algorithm Design. His teaching approach emphasizes both theoretical foundations and practical applications, with extensive use of AWS and Python-based tools to prepare students for industry certification.

• Econophysics
• Complex Networks
• Statistical Physics
• +۷ مورد دیگر

Prof. Rosario Nunzio Mantegna is a Full Professor in the Department of Physics and Chemistry - Emilio Segrè at the University of Palermo (Unipa), Italy. He has held office hours in Building 18, Viale delle Scienze, focusing on appointments via email at rosario.mantegna@unipa.it. Research Interests: Econophysics, Complex Networks, Financial Market Dynamics, Air Traffic Systems, and Statistical Physics Applications. Methodological Expertise: Network Validation, Correlation Filtering, Hierarchical Clustering, and Stochastic Modeling. His work bridges physics, finance, and data science through network-based approaches to complex systems. Key contributions include analyzing financial indices, market lead-lag relationships, and air traffic networks. Publications span interdisciplinary topics from autism spectrum disorders to volcanic impact on ATM systems.