جست‌وجوی استاد و پژوهشگر

Fabrizio Silvestriمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Web Search
• +۷ مورد دیگر

Fabrizio Silvestri is a Full Professor at Sapienza University of Rome's Department of Computer, Automatic and Management Engineering (DIAG), where he coordinates the Ph.D. program in Data Science. He leads the RSTLess research group focusing on Robust, Safe, and Transparent Deep Learning. Research interests: Artificial Intelligence, Machine Learning, Web Search, Natural Language Processing, Information Retrieval, Graph Neural Networks Research Trends from recent publications reveal: Advancements in sequential recommendation systems using topological and sheaf-based neural networks Focus on sustainable AI through eco-aware graph neural networks Counterfactual explanations for graph models and machine unlearning Security applications in dense retrieval and data poisoning defense Time series analysis for 5G network monitoring Integration of attention mechanisms and positional encoding in Transformers Scientific Achievements : ECIR 2018 Test of Time Award 3 Best Paper Awards (ECIR 2007, IEEE WI 2004, WSDM 2011 Runner-Up) Yahoo! Patent Milestone Award Recipient of Yahoo! Labs Excellence Program (LEAP) and Faculty Research Engagement Program (FREP) Finalist for ERCIM Cor Baayen Award (2005) Academic Leadership : Holds 9 industrial patents from Yahoo! and Facebook AI. Directed Facebook AI research groups combating malicious content. Ph.D. in Computer Science from University of Pisa with thesis on High-Performance Issues in Web Search Engines . Supervises thesis projects through the RSTLess group website .

Doriana Cimminoمشاهده پروفایل

پژوهشگر ارشد

• Linguistics
• Glottology
• Corpus Linguistics
• +۴ مورد دیگر

Doriana Cimmino is a Research Fellow at the Department of Humanities, Ca' Foscari University of Venice. She holds a National Scientific Qualification (ASN) for the role of Associate Professor in Glottology and Linguistics (L-LIN/01), valid from 2023 to 2034. Her academic career spans multiple institutions, including the University of Basel, University of Florence, Roma Tre, and the University of Salerno. Research Interests Her work focuses on linguistics, corpus annotation, political discourse analysis, and academic Italian. She has contributed to projects like IMPAQTS (Implicit Manipulation in Politics) and the Dictionary of Academic Italian (DIA), utilizing language technology and natural language processing methodologies. Scientific Awards and Projects PRIN 2017STJCE9 Grant for Implicit Manipulation in Politics PON AIM L2-08 Project at the University of Salerno CITPRO FSE2017 Grant at the University of Florence Swiss National Science Foundation (SNSF) funding for ISAaC and ICOCP projects National Scientific Qualification (ASN) for Associate Professor Collaborations and Experience She has collaborated with institutions such as the Complutense University of Madrid and the Catholic University of Leuven as an invited researcher, focused on linguistic implicitness and tendentiousness in speeches.

• 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.

• Software Engineering
• Gamification
• Mobile Computing
• +۷ مورد دیگر

Giacomo Garaccione is a Ph.D. candidate in Computer and Systems Engineering at the Polytechnic University of Turin , affiliated with the Department of Control and Computer Engineering (DAUIN) and the SOFTENG - Software Engineering Group . He holds an MSc in Computer Engineering (Software) from the same institution. Current Role : Ph.D. candidate (38th cycle, 2022-2025) Teaching : External lecturer and teaching assistant for Information Systems and Software Engineering courses in Engineering and Management and Computer Engineering programs (2022-2025). His research focuses on applying gamification to software engineering education , with emphasis on conceptual modeling and GUI testing . He develops gamified tools like UMLegend and GERRY , integrating artificial intelligence and natural language processing for automated model validation and feedback. Publications analyze gamification’s impact on student productivity and perception in UML/BPMN education. Scientific recognition : Nominated for merit awards (2025). Collaborator on multiple studies involving large language models and gamified IDE plugins , with ongoing work to create a comprehensive gamified environment for software modeling and requirements training.

Roberto Basiliمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Knowledge Representation
• +۵ مورد دیگر

Roberto Basili is an Associate Professor in the Department of Computer Science at the University of Roma, Tor Vergata, where he has been a member of the Artificial Intelligence group (ART) since 1991. His academic appointments span both the Faculty of Engineering and the Department of Linguistics, reflecting his interdisciplinary approach to natural language processing and computational linguistics. Professor Basili's research focuses on Natural Language Processing, Machine Learning, Knowledge Representation, and their applications in Information Retrieval and the Semantic Web. His work particularly emphasizes semantic tagging, word sense disambiguation, ontology engineering, and music genre categorization. He leads the ART (Artificial Agent @ Roma Tor Vergata) research group, which develops frameworks for language-driven ontology learning and question answering systems. His publication record shows consistent contributions from the early 1990s through 2006, with recent work emphasizing kernel methods for semantic role labeling, ontology-driven information retrieval, and hierarchical semantic analysis. The research trends indicate a progression from foundational work in lexical acquisition and parsing toward more sophisticated semantic analysis and ontology integration, reflecting the evolution of the NLP field itself. Professor Basili has secured significant research funding through multiple EU Framework Program projects including PrestoSpace (FP6), FF-Poirot (FP5), and MOSES (FP5), as well as NSF grants and Italian national research initiatives (PRIN). These projects demonstrate his ability to lead large-scale collaborative research efforts addressing both theoretical challenges and practical applications in language technology. His teaching responsibilities include courses on Distributed Databases and Information Retrieval, Database Systems, Fundamentals of Programming in the Faculty of Engineering, and Trattamento Automatico delle Lingue (Natural Language Processing) in the Department of Linguistics. This dual appointment underscores his bridging of computer science and linguistic approaches to language processing.

Daniele Proverbioمشاهده پروفایل

پژوهشگر ارشد

• Complex Systems
• Mathematical Biology
• Mathematical Epidemiology
• +۷ مورد دیگر

Daniele Proverbio is a Research Fellow in the Department of Industrial Engineering at the University of Trento, where he teaches the "Mathematical epidemiology - modelling, parametrization and applications" course for PhD students. Previously, he was a Postdoc at the University of Luxembourg and contributed as a modeling consultant to the Luxembourg National COVID-19 taskforce. His educational background includes: PhD in Sciences de l'Ingénieurs with Specialization in Computational Sciences from the University of Luxembourg Laurea Magistrale in Physics of Complex Systems (110/110 cum laude) from the University of Turin and University of Western Piedmont Master in Business and Administration from Collège des Ingénieurs (Turin, Munich, Paris) Excellence school diploma from Scuola di Studi Superiori di Torino "F. Rossi" Daniele's research focuses on the robustness and resilience of complex systems, with applications spanning mathematical epidemiology, biological pathways, and neural networks. His work integrates models with empirical data using approaches from network science, multi-agent systems, and information theory. He has particular interest in critical transitions in natural systems and the ethics of AI, contributing to the field through both theoretical frameworks and practical applications in public health and biomedical contexts. His recent publications demonstrate a strong interdisciplinary approach, bridging computer science, biology, and social sciences. The research shows increasing focus on AI ethics, game-theoretic approaches to complex systems, and applications of mathematical modeling to epidemiology and biological systems. Notably, his work on Physarum polycephalum (slime mold) and critical transitions reveals innovative approaches to understanding complex adaptive behaviors. His scientific recognition includes: Winner of Best Thesis Award 2023 (University of Luxembourg) Winner of ESOF Travel Grant 2022 Winner of DESCOM Science Writing Competition 2021 Top 10 in COVID-19 Lung CT Lesion Segmentation Challenge 2020 Best presentation award at Euron + PhD Days conference 2019 International finalist at PLANKS 2017 Daniele serves as a reviewer for prestigious journals including PNAS and the Journal of the Royal Society B. He is a co-founder of Swarm Ethics and member of the editorial board of House of Ethics, focusing on actuable ethics for complex systems. His consulting work includes advising startups S-eye-S and Farmelody, and he has been actively involved in science communication through platforms like Instagram. As a member of multiple scientific societies including the Complex Systems Society and Network Science Society, Daniele contributes to the broader academic community through conference organization and editorial roles. He co-organized international workshops and serves on program committees for major conferences in complex networks and system theory.

• e-learning/m-learning
• virtual communities and social media
• semantic technologies
• +۴ مورد دیگر

Andrea Molinari is a Contract Professor at the University of Trento since 1990 and at the Free University of Bozen since 2002. He also serves as a Visiting Professor at Lappeenranta University of Technology (2021-2025) and holds a Docent position in Decision Making at the same institution (2024-2029). Previously, he was an Adjunct Professor at Turku University/Abo Akademi in Finland (2007-2019). Education: 2022: Doctoral Degree - Doctor of Science (Technology), Engineering Science, Software Engineering research field from LUT - Lappeenranta University of Technology. Dissertation: "Integration Between eLearning platforms and Information Systems: a New Generation of Tools for Virtual Communities" 1988: Master Degree in Economics from Università degli Studi di Trento with grade 110/110. Thesis: "P.I.R.S. Personal Information Retrieval Systems" Professor Molinari's research focuses on the intersection of education technology and information systems. His primary areas include e-learning/m-learning systems, virtual communities and social media, semantic technologies and ontologies, data management with AI applications, and Enterprise Project Management. His work bridges theoretical computer science with practical applications in educational and organizational contexts, particularly examining how technology can enhance learning experiences and organizational efficiency. His recent publications reveal a strong emphasis on the evolution of Learning Management Systems in the AI era, integration of semantic technologies with educational platforms, and applications of serious games for professional training. There's a clear trajectory toward more sophisticated, AI-enhanced educational technologies that incorporate data analytics, personalized learning, and advanced user modeling. Scientific Awards: Winner of the "S. Ciancio" scholarship (1980, 1982, 1983) Outstanding Paper Award at the Ed-Media World Conference on Educational Technology (1995) Since 1994, Professor Molinari has supervised approximately 10 thesis projects annually across multiple institutions including the University of Trento (Economics, Engineering), University of Bolzano (Computer Science, Education), and Abo Akademy in Finland. His teaching spans numerous courses related to information systems, project management, and technology applications across various academic disciplines. He has coordinated numerous research projects, particularly in the areas of e-learning platforms, virtual communities, and semantic technologies for educational applications. Professor Molinari is actively involved with several research communities and has served on program committees for numerous international conferences including IEEE-STAR, SMARTGREENS, and the International Conference on Web-based Education. His work often involves interdisciplinary collaboration between computer scientists, educators, and domain specialists to develop innovative technology-enhanced learning solutions.

• Computer Vision
• Human-Computer Interaction
• IoT
• +۶ مورد دیگر

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.

• Geomatics
• Topography
• Cartography
• +۶ مورد دیگر

Barbara Marana is a Researcher in Topography and Cartography at the University of Bergamo, School of Engineering, Department of Engineering and Applied Sciences (DISA). She has maintained an active academic career since 2003, progressing from Research Fellow to Confirmed Researcher in 2008, while also serving as an Adjunct Professor for Information Systems for the Territory and Topography courses from 2015-2023. Her educational background includes a Doctorate in Geodetic and Topographic Sciences from the Polytechnic University of Turin (1993-1997) and a Degree in Electronic Engineering with specialization in Automatic Control from the Polytechnic University of Milan (1991). She possesses strong English language skills and has authored over 60 scientific publications throughout her career. Dr. Marana's research focuses on the application of Geomatics technologies to cultural heritage preservation, environmental monitoring, and urban planning. Her work demonstrates particular expertise in GIS applications, LIDAR technology, 3D scanning, and photogrammetry for documenting and analyzing historical sites, military landscapes, and natural environments. She has developed innovative approaches for integrating these technologies to create detailed spatial analyses that support conservation efforts and sustainable development initiatives. Her recent work shows increasing emphasis on interdisciplinary applications, particularly in environmental monitoring and cultural heritage documentation. Analysis of her publication record reveals consistent thematic development across multiple domains: Early work focused on 3D modeling and documentation of archaeological sites in Central Sicily Mid-career publications expanded into military archaeology and LIDAR visualization techniques Recent research demonstrates sophisticated integration of multiple geospatial technologies for environmental applications, including air pollution analysis and climate change impact assessment Dr. Marana has received recognition for her contributions to geospatial science education through innovative teaching methods including challenge-based learning approaches to digital mapping instruction. Her educational work aligns with Sustainable Development Goals 4 (Quality Education) and 11 (Sustainable Cities and Communities). She leads research projects focused on cultural heritage documentation, particularly using 3D scanning and BIM technologies for historical structures, and maintains active collaborations on projects involving the Grotto of Saints in Enna and the Necropolis of Realmese in Calascibetta. Her methodology consistently combines traditional surveying techniques with advanced technologies including terrestrial laser scanning, UAV systems, and multispectral imagery.

Riccardo Di Leoمشاهده پروفایل

پژوهشگر ارشد

• Political Science
• European Politics
• Political Ideology
• +۳ مورد دیگر

Riccardo Di Leo serves as a Research Fellow at the Department of Political and Social Sciences at the European University Institute in Florence, Italy. His office is located at Villa Sanfelice, SF029, and he works in Italian, English, and Spanish. His research interests include: Political Science and European Politics Political Ideology and Party Systems Machine Learning Applications in Social Sciences Gender Studies and Academic Careers Work-Life Balance in Higher Education Di Leo's recent work demonstrates a dual focus on computational political science and gender dynamics in academic institutions. His research on European party ideology using generative LLMs represents methodological innovation in political analysis, while his work on motherhood in academia addresses structural issues affecting women scholars. His publications show expertise in both quantitative methodology and substantive gender studies research. His scientific contributions span political methodology and gender equity research, with implications for understanding political systems and improving academic working conditions. The European University Institute provides an appropriate international environment for his interdisciplinary research agenda.

• physical human-robot interaction
• mobile manipulation
• robust and adaptive control
• +۲ مورد دیگر

Arash Ajoudani is a tenured Senior Researcher and Principal Investigator at the Italian Institute of Technology (IIT), where he directs the Human-Robot Interfaces and Interaction (HRI²) laboratory. He holds affiliations with the European Lab for Learning and Intelligent Systems (ELLIS) and leads joint labs like R4M (Robotics for Manufacturing) and JOiiNT. His research bridges: Physical human-robot interaction Mobile manipulation Adaptive control systems Assistive and tele-robotics He coordinates flagship projects including ERC grants (Ergo-Lean, Real-Move), Horizon Europe initiatives (Tornado), and industrial collaborations. His awards include the IEEE RAS Early Career Award 2021, KUKA Innovation Award 2018, and multiple best paper recognitions at top robotics conferences. As an editor, he serves the International Journal of Robotics Research (IJRR) and IEEE RAS committees, driving advancements in collaborative automation and human-centered AI.

Nicola Righettiمشاهده پروفایل

استادیار

• Computational Social Science
• Digital Methods
• Data Analysis
• +۷ مورد دیگر

Nicola Righetti serves as Assistant Professor at the Department of Communication Sciences, Humanities and International Studies (DISCUI) at the University of Urbino Carlo Bo. A computational social scientist with extensive expertise in data analysis and digital methodologies, he bridges technical approaches with social scientific inquiry. His research examines how digital media platforms shape communication, public discourse, and political behavior through rigorous data-driven investigation. Methodologically, he specializes in: Large-scale data analysis Network analysis techniques Machine learning applications Natural language processing Advanced statistical modeling Righetti teaches Digital Methods and Sociology of Cultural and Communicative Processes courses across multiple degree programs including Information, Media and Advertisement, and Modern Languages and Cultures. His scholarly work investigates the intersection of communication technologies with democracy, power structures, and social transformation. He has established significant research partnerships with: European Commission Media Authority of North Rhine-Westphalia These collaborations focus on critical contemporary issues including misinformation ecosystems, digital influence operations, and platform governance frameworks. Previously, he contributed to the Computational Communication Science Lab at the University of Vienna's Department of Communication.

Tiziana Cianoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Applied Mathematics
• Machine Learning
• +۷ مورد دیگر

Tiziana Ciano (born April 21, 1991) serves as a tenured Researcher and Assistant Professor at the Department of Economic and Political Sciences, University of Aosta Valley. She holds a PhD in Law and Economics & Doctoral Europaeus from Mediterranean University of Reggio Calabria & University of Portsmouth, and a Master's Degree in Economics obtained with highest honors. Her academic appointments include Contract Professor at DICEAM Department, Mediterranean University of Reggio Calabria, and membership in Decisions_Lab scientific laboratory. Dr. Ciano's research spans mathematical economics with strong AI applications: Artificial Intelligence and Applied Mathematics Machine Learning and Deep Learning for socio-economic systems Stochastic Programming and Multi-objective Optimization Dynamic Systems and Epidemic Modeling Decision Support Systems for tourism and finance Her recent publications reveal a consistent focus on applying advanced mathematical methods to portfolio optimization, pandemic dynamics, climate change sustainability, and tourist flow forecasting. She has developed tri-objective optimization models for financial decision-making and fuzzy fractional-order models for pandemic dynamics, demonstrating methodological innovation across multiple domains. Dr. Ciano has received multiple prestigious recognitions including the Best Poster Award at DySES2022 conference for her work on fake news sentiment analysis during pandemics, a Research Award for her paper on duopoly game analysis published in Symmetry, and the Anassilaos Giovani Ricerca Award under the patronage of the President of the Republic of Italy. She serves on editorial boards of high-impact journals including Mathematics (MDPI) Financial Mathematics section (Q1, IF 2.592), Applied Mathematical Sciences, and International Journal of Contemporary Mathematical Sciences. As Guest Editor, she has curated special issues on mathematical economics, differential games, and symmetry in machine learning algorithms. She regularly referees for Mathematical Problems in Engineering, Information Processing & Management, and Scientific Reports (NATURE). Dr. Ciano actively participates in Decisions_Lab research laboratory and leads multiple collaborative projects including MONTUR (Real-time Monitoring of Tourist Flows in Aosta Valley), MEC – Marketplace Ecosostenibile Calabria, and IUSTIT-IA. She has organized numerous international conferences including AMASES 2023, NUMTA2023, and special sessions on predictive analytics and machine learning applications in socio-economic systems.

• Employment & socioeconomic impacts of climate change
• green technologies
• ecological economics
• +۳ مورد دیگر

Tommaso Rughi is a Research Fellow at the Institute of Economics of Sant'Anna School of Advanced Studies, where he earned his PhD in Economics in 2023. His doctoral work included a visiting period in Nice, and he served as a Visiting Researcher at Vienna's Complex Science Hub (CSH) in autumn 2022. Education: PhD in Economics, Sant'Anna School of Advanced Studies, 2023 (with visiting period in Nice) His research centers on climate change's socioeconomic impacts, particularly employment effects and green technology adoption. He integrates ecological economics with advanced computational methods—including applied econometrics, machine learning, and natural language processing—to analyze innovation patterns in patent data and macroeconomic systems. Recent publications reveal a focus on green innovation dynamics: analyzing labour-saving heuristics in green patents via NLP, contrasting incremental versus radical innovations in automotive technology, and modeling remittance flows using gravity approaches. This work bridges environmental economics, computational social science, and industrial innovation studies. Dr. Rughi has served as Tutor for the Advanced Econometrics course in the Master of Science in Economics program jointly offered by the University of Pisa and Sant'Anna School of Advanced Studies under Associate Professor Laura Magazzini. His affiliations include the Complex Science Hub of Vienna (CSH), where he contributed to interdisciplinary complex systems research during his 2022 visiting period.