جست‌وجوی استاد و پژوهشگر

• Structural Mechanics
• Acoustic Emission Methods
• Damage Diagnosis in Structures
• +۱۵ مورد دیگر

Giuseppe Lacidogna is Associate Professor in Structural Mechanics at the Department of Structural, Building and Geotechnical Engineering (DISEG), Politecnico di Torino, Italy. He leads the Fracture Mechanics Laboratory and is a key researcher in structural health monitoring and damage diagnosis. He holds a PhD in Structural Engineering from Politecnico di Torino (1994) and graduated cum laude in Architecture (1985). He achieved National Academic Qualification as Full Professor in 2018 and is Fellow of the European Academy of Sciences. He serves on the Academic Board of the Doctorate in Civil and Environmental Engineering and previously directed the Structural Engineering Doctorate (2016–2018). Research Interests: Acoustic emission for damage identification in concrete, masonry, and rocks Cracking evolution in masonry arch bridges Creep and long-term behavior of concrete Fracture mechanics and modeling (FEM, DEM) Seismic precursors and critical phenomena Mechanics of macromolecular and protein structures Static and dynamic analysis of high-rise buildings His recent research, reflected in publications from 2022 to 2025, emphasizes acoustic emission monitoring of historical and modern structures (e.g., Garisenda Tower), fracture in 3D-printed geopolymers, self-healing materials, and multiscale modeling of seismic events. His work bridges civil engineering, materials science, and computational mechanics. Scientific Awards and Recognitions: Fellow, European Academy of Sciences (2018) Certificate Merit Award, European Society for Experimental Mechanics (EuraSEM, 2018) Best Paper Award, Conference on Structural Faults + Repair (2008) Top Italian Scientist, Engineering-Mechanics Area (2021) He actively supervises PhD students and has secured competitive and commercial research funding, including the GREENER project (PNRR) and long-term monitoring of the Garisenda Tower. He serves on editorial boards of journals such as SCI , Construction and Building Materials , and Applied Sciences , and is a member of professional societies including AIMETA, RILEM, SEM, and CTBUH. His research integrates experimental and numerical methods to address challenges in infrastructure safety and sustainability. Laboratories and Research Teams: Fracture Mechanics Laboratory (DISEG), Politecnico di Torino Principal Investigator in multiple national and international research collaborations Leader of the SISCON Interdepartmental Center component on Safety of Infrastructures and Constructions

• Computer Science
• Artificial Intelligence
• Logic Programming
• +۷ مورد دیگر

Stefania Costantini is a Professor in Computer Science with a focus on logic programming, multi-agent systems, and healthcare applications. She has contributed to the development of intelligent ecosystems for patient monitoring, ontology frameworks for medical wearables, and formal verification methods for agent systems. Research Interests: Logic-based agent modeling Complex event processing Healthcare technology integration Temporal and metalevel logic applications Wearable device classification Recent Article Trends: Stefania's work combines artificial intelligence with biomedical engineering, emphasizing real-time data analysis from wearables, noise pollution mitigation, and agent-based healthcare systems. Her publications show a consistent focus on computational logic foundations applied to practical healthcare scenarios. Collaboration Network: Key co-authors include Lorenzo De Lauretis, Fabio Persia, and C. Bertoncelli across interdisciplinary projects blending computer science with medical research.

• Internet of Things
• Body Sensor Networks
• Edge Computing
• +۴ مورد دیگر

G. Fortino is a Professor at the University of Calabria, Italy, with 643 publications, an h-index of 74, and over 21,592 citations. His research spans critical domains including: Internet of Things Body Sensor Networks Edge and Fog Computing Healthcare Applications Machine Learning and Deep Learning Security and Trust Frameworks His work establishes foundational architectures for healthcare industry 4.0 and IoT security, particularly through multi-sensor fusion techniques and edge-based processing. Recent publications demonstrate a pronounced shift toward medical applications, with deep learning models for blood pressure monitoring, brain tumor classification, and emotion recognition integrated with real-time sensor networks. Analysis of his 2017-2021 publications reveals dominant trends in human activity recognition (50% of recent work), security for distributed systems (30%), and medical diagnostics (20%), consistently leveraging machine learning for real-time processing in resource-constrained environments. His most influential papers address IoT security taxonomies and body sensor network fusion, with citation counts exceeding 500. No information regarding scientific awards, student advising, grants, or dedicated research laboratories was found in the provided materials.

• Colloid transport in porous media
• Contaminant environmental fate
• Contaminated site remediation
• +۷ مورد دیگر

Tiziana Anna Elisabetta Tosco is an Associate Professor in the Department of Environment, Land and Infrastructure Engineering (DIATI) at Politecnico di Torino. She serves as Academic Advisor for the Master's Degree in AGRITECH ENGINEERING and Program Management Advisor. Dr. Tosco is also a member of the Interdepartmental Center FULL - Future Urban Legacy Lab and participates in the Teaching Colleges of PhD programs in Civil and Environmental Engineering. Her research focuses on colloid transport in porous media, contaminant environmental fate, contaminated site remediation, groundwater modeling and remediation, nanoremediation, pesticides, and sustainable agriculture. This work aligns with UN Sustainable Development Goals 2 (Zero Hunger), 6 (Clean Water and Sanitation), and 11 (Sustainable Cities and Communities). Her research spans environmental sanitary engineering with applications in hydrology, hydrogeology, and waste treatment. Dr. Tosco's recent publications demonstrate strong trends in environmental remediation technologies, particularly focusing on nanoremediation approaches for contaminated sites, transport mechanisms of pollutants in porous media, and sustainable agricultural practices that minimize environmental impacts. Her work bridges fundamental transport phenomena with practical applications for groundwater protection and sustainable land management. She has received several scientific honors including the Quality Award from Politecnico di Torino (2008), a Student Award from the International Conference on the Environmental Effects of Nanoparticles and Nanomaterials (2009), and the Emerald Citations of Excellence (2017). Dr. Tosco actively supervises PhD students including Alessia Amendola, Francesca Nunzio, Michela Acocella, and Monica Granetto. She has served as principal investigator for numerous research projects including NANOGRASS (2017-2021), feasibility studies for water reuse (2023-2024), and groundwater assessment projects (2020-2023). Her research has been supported through competitive calls, corporate funding, and commercial contracts. She conducts her research within the DeltaNova and WATER QUALITY laboratories at DIATI. Dr. Tosco has developed several patented technologies related to eco-friendly pesticide formulations, zero-valent metal production in porous media, and methods for controlling colloid deposition and destabilization in subsurface environments.

• Big Data
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Dr. Danilo Giordano is an Associate Professor at the Department of Control and Computer Science (DAUIN) within Polytechnic University of Turin. He actively contributes to the SmartData@PoliTO Center, focusing on big data and data science applications. Research Interests: Big data, machine learning, cybersecurity, predictive maintenance, smart cities Scientific Awards: Best Student Paper Award ITC (2015), IETF Applied Research Prize coauthor (2017) His academic work spans machine learning for network security , big data analytics in industrial contexts , and smart city infrastructure optimization . Notably, his recent publications examine satellite network performance, darknet visibility enhancement, and language model applications in cybersecurity. As an editorial board member of COMPUTER NETWORKS (since 2024), he has also organized multiple conferences including the Data Challenge sessions at PHME conferences and served as publication chair for ACM CoNEXT workshops.

Gabriele Tolomeiمشاهده پروفایل

دانشیار

• Machine Learning
• Explainable AI
• Adversarial Machine Learning
• +۵ مورد دیگر

Gabriele Tolomei is an Associate Professor of Computer Science at Sapienza University of Rome. He leads the HERCOLE Lab (Human-Explainable, Robust, and Collaborative Learning) and focuses on advancing AI systems that are interpretable, robust, and decentralized. His research spans machine learning, computer security, and adversarial learning. PhD in Computer Science, Ca' Foscari University of Venice (2011) MSc in Computer Science, University of Pisa (2005) BSc in Computer Science, University of Pisa (2002) His research interests are centered on Explainable AI , Robust Machine Learning , and Collaborative Learning . He has contributed to areas such as counterfactual explanations for graph neural networks, community membership privacy, and fairness in graph algorithms. His work intersects Web Search and Mining with Computational Advertising , emphasizing user engagement and post-click satisfaction. He teaches courses like Operating Systems for BSc Computer Science and Big Data Computing for MSc Computer Science. Current PhD students under his supervision include Edoardo Gabrielli, Fabiano Veglianti, Flavio Giorgi, Matteo Silvestri, and Vittoria Vineis. The HERCOLE Lab, established in 2021, promotes interdisciplinary research on human-centered AI, adversarial resilience, and edge computing. Collaborators include Fabrizio Silvestri (Full Professor), Federico Siciliano (Postdoctoral Researcher), and Ziheng Chen (Research Scientist at Walmart Labs).

• Machine Learning
• Recommender Systems
• Social Media Analysis
• +۵ مورد دیگر

Prof. Fabio Gasparetti is a tenured Full Professor at the Department of Civil, Computer and Aeronautical Engineering of the University of Rome 3 , Italy. His academic profile spans Machine Learning , Recommender Systems , and Educational Technology , with a strong focus on Cultural Heritage digitization and Social Media analytics. He is affiliated with the university's AI Lab (a website currently under construction). Email: fabio.gasparetti@uniroma3.it Phone: 0657333212 Location: Via Vito Volterra 62, Rome Research Interests revolve around: Contextual Recommender Systems for cultural and educational domains Social Network Mining for community detection and user modeling Machine Learning Applications in aerospace engineering and e-learning Temporal Analysis of MOOC dynamics and behavioral patterns Prerequisite Modeling for educational content sequencing Cultural Ecosystems in digital pandemic contexts Recent Publications (2021-2025) demonstrate interdisciplinary synergy between Computer Science and Humanities domains, particularly in: Machine Learning for aerospace physics Multimodal LLMs in art interpretation Social data-driven cultural personalization Graph-based educational community monitoring Cross-platform museum positioning Migration discourse analysis

Carla Limongelliمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Learning Management Systems
• Concept Mapping
• +۶ مورد دیگر

Carla Limongelli is an Associate Professor at Roma Tre University's Department of Civil, Computer and Aeronautical Engineering within the School of Engineering. Her academic work bridges computer science with educational applications, focusing on intelligent systems for learning environments. Her research interests center on artificial intelligence applications in education, with particular expertise in concept mapping systems, learning management platforms, and technology-enhanced museum experiences. Dr. Limongelli has developed innovative approaches to adaptive learning, social robotics in educational contexts, and multimodal learning analytics that track both physiological responses and behavioral patterns. Her recent publication trends reveal a strong focus on leveraging large language models for educational purposes, with increasing attention to multimodal applications combining visual, textual, and physiological data streams. This work spans from automated question generation to social robot interactions in museum settings. Dr. Limongelli has contributed significantly to the development of systems that support teachers in course building, concept map creation, and personalized learning path configuration, with applications extending from traditional educational settings to cultural heritage environments.

Giovanni D'ORIOمشاهده پروفایل

پژوهشگر

• Economic Policy
• Corporate Governance
• Privatization
• +۵ مورد دیگر

Giovanni D'ORIO serves as a University Researcher in Economic Policy at the Department of Economics, Statistics and Finance (DESF) within the Faculty of Economics at the University of Calabria. His academic career spans over two decades with significant contributions to economic policy research, particularly in corporate governance, privatization, and regional development. He maintains an active research profile with recent publications focusing on environmental impacts of mining in Ecuador and well-being measurement in Italy. PhD in Economics from University of York (2008) Italian Doctorate of Research in Economics from University of Naples 'Federico II' (2001) Master in Economics from University of York (1998) Degree in Economic and Social Science from University of Calabria (1995) D'ORIO's research interests center on the effectiveness and efficiency of local development policies, corporate governance structures, and privatization processes. His work employs both parametric and non-parametric techniques for efficiency estimation. In recent years, his research has expanded to include environmental economics, particularly examining mercury pollution from gold mining operations in Ecuador, while maintaining his focus on regional well-being and sustainability in Italy. His interdisciplinary approach bridges economic theory with practical policy applications in both developed and developing contexts. Analysis of D'ORIO's publication record reveals a clear evolution from theoretical work on corporate governance and privatization toward applied research on environmental impacts and regional development. His most recent publications (2021-2024) demonstrate a strong focus on mercury pollution from artisanal gold mining in Ecuador, with systematic assessments of health risks across different geographical regions including coastal, Andean, and Amazon areas. This represents a significant shift toward environmental economics while maintaining methodological rigor in policy evaluation. D'ORIO is an active member of the 'DIVARI DI PRODUTTIVITA', INNOVAZIONE E POLITICHE DI SVILUPPO' research group and contributes to the Laboratorio di Economia dello Sviluppo Regionale (LESR), where he collaborates with researchers including Cardamone Paola, Lombardo Rosetta, and Aiello Francesco. His work at the laboratory focuses on economic and statistical analyses of regional economic systems, policy evaluation, and development planning. Throughout his career, D'ORIO has maintained strong connections with international institutions, having served as a Teaching Fellow at the University of York and participated in numerous international conferences. His professional experience includes significant public sector engagement as Director of the Programming Sector for the Calabria Region (2007-2010), where he was responsible for EU program implementation.

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.

• Economics
• Political Economy
• Cannabis Legalization
• +۱۳ مورد دیگر

Marco Rossi is a Researcher at the Department of Social and Economic Sciences , Università degli Studi di Roma "La Sapienza." His academic focus includes Economics, Political Economy, and Public Policy , with a specialization in cannabis legalization, sports betting, aging populations, and welfare economics. His research bridges economic theory with interdisciplinary applications, as evidenced by publications on topics ranging from sustainable materials to archaeological conservation . Key areas include economic policy, resource allocation, and social market dynamics. Scientific awards include the 2023 Best Video at the International Symposium for Testing and Failure Analysis and 3rd place in the False Color Image Category at the same symposium. His work also emphasizes non-invasive analytical techniques, such as Tip-Enhanced Raman Spectroscopy and X-ray Microscopy , for studying both modern and historical materials.

• Economics of Science and Technology
• Quantitative Studies of Science
• Diffusion of Innovation
• +۴ مورد دیگر

Andrea Bonaccorsi is a full professor of Economics and Management Engineering at the University of Pisa's Department of Energy, Systems, Land, and Construction Engineering. As Delegate for University Strategic Projects, he coordinates initiatives addressing global research and innovation challenges. Born in Pisa (1962), graduated in Economics (1986) PhD from Scuola Superiore Sant'Anna Director of Master's program in Scalability - Digital Technology and Company Growth His research spans economics of science/technology, innovation diffusion theory, and NLP applications for research indicators through the Business for Data Science (B4DS) Lab. With over 200 publications and 13,500+ Google Scholar citations, he focuses on: University sustainability strategies Research assessment frameworks Industry 4.0 analytics Gender bias mitigation in academia Open innovation models Recent research trends analyze: University sustainability integration Value chain digitalization in SMEs Interdisciplinary ERC grant patterns Technology foresight methodologies Scientific Recognition: Top 2% global researcher ranking (Stanford data) 13,500+ Google Scholar citations Institutional Contributions: President of Management Engineering Course (2016-2019) ANVUR Board Member (2011-2015) European Research Council policy advisor Navacchio Technology Park Board member

Corrado Priamiمشاهده پروفایل

استاد

• Computer Science
• Bioinformatics
• Computational Biology
• +۶ مورد دیگر

Professor Corrado Priami is a Full Professor of Computer Science at the University of Pisa and serves as the Vice-Rector for Knowledge Development. His career spans multiple institutions, including the University of Verona, University of Trento, and Stanford University. Full Professor of Computer Science, University of Pisa (2017–present) Visiting Professor, Stanford University (2016–2017) Full Professor, University of Trento (2001–2017) Associate Professor, University of Verona (2000–2001) His research interests focus on computational biology, machine learning, bioinformatics, and systems biology, with applications to health technology, personalized medicine, and vaccine development. Recent publications highlight advancements in digital vaccines, multi-omics integration, and holistic health databases. Scientific contributions include over 220 publications and €30 million in competitive research funding. He has founded institutions like COSBI and SPARK Pisa and served on advisory boards for EU programs, bioethics committees, and health technology firms. Medal from President Giorgio Napolitano for scientific achievements Coordinated 600+ research projects Supervised 100+ students

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.

Tiziana Catarciمشاهده پروفایل

استاد

• Human-Computer Interaction
• Data Quality
• Database Systems
• +۷ مورد دیگر

Tiziana Catarci is a Full Professor ( Professore Ordinario ) at the Department of Computer, Automation and Management Engineering Antonio Ruberti (DIAG) within the Faculty of Computer Engineering, Computer Science and Statistics at Sapienza Università di Roma since November 2000. She has had a distinguished academic career marked by numerous leadership roles at Sapienza, including serving as Pro-Rector for Infrastructure and Technologies (2010-2014) and directing the DIAG department (2018-2024). Her research focuses on Human-Computer Interaction , Data Quality , and Database Systems . In recent years, she has expanded her interests to include Ethics of Artificial Intelligence and Gender Issues in STEM , co-founding the Italian Society for AI Ethics (SIpEIA) in 2020 and serving as its president since 2024. She has published over 200 articles in prestigious journals and conferences, and has edited or authored more than 20 books. She has been actively involved in numerous national and international research projects including KIM, VENUS, FADIVA, LAURIN, SEWASIE, DELOS, Interop, WORKPAD, SM4All, PROMISE, and SmartVortex. Her recent publications cover topics ranging from visual analytics solutions to data management architectures, and from ethical considerations in AI to declarative process modeling. Dr. Catarci has received several honors throughout her career, including: Stanford University's World's Top 2% Scientists (2020) Premio Le Tecnovisionarie (2021) Fellow of the European Alliance for Innovation (2018) Nominated among 100 Donne per la Scienza by Fondazione Bracco (2016) Commendatore della Repubblica Italiana (2015) IBM Eclipse Innovation Award for the SEAWER project (2003) She is also a pioneer in promoting women in STEM fields, with activities that have been recognized by the Levi Montalcini Association in 2017, and has been included in InspiringFifty, a list of 50 women who serve as role models in the technology world.