جست‌وجوی استاد و پژوهشگر

• Landscape Architecture
• Coastal Landscape
• Rural Landscape
• +۶ مورد دیگر

Gianni Lobosco serves as a Fixed-term tenure-track Assistant Professor at the Interuniversity Department of Regional and Urban Studies and Planning (DIST) at Politecnico di Torino. He also holds affiliations with the University of Ferrara, where he previously worked as a Researcher with a fixed-term contract (2021-2023) and conducted teaching activities (2020-2021). His academic roles include membership in the Planning and Design Board and serving as Course Lecturer for Landscape Architecture programs, including the Master of Science in Landscape Architecture: Design and Management and Designing for Risk Mitigation courses. Lobosco's research spans multiple dimensions of landscape studies with particular emphasis on coastal, rural, and urban landscapes. His work integrates theoretical frameworks with practical applications in landscape design, environmental planning, and climate action. His research interests demonstrate a strong commitment to sustainability, as evidenced by alignment with UN Sustainable Development Goals 11 (Sustainable cities), 13 (Climate action), and 15 (Life on land). Analysis of his recent publications reveals a distinctive research trajectory that bridges traditional landscape architecture with emerging technological approaches. His work shows increasing integration of GIS, spatial analysis, and big data methodologies with landscape planning. A notable trend is his exploration of unconventional landscapes, including underground and extraterrestrial environments, demonstrating innovative applications of landscape architecture principles beyond traditional terrestrial contexts. Lobosco actively contributes to doctoral education as a member of the Doctoral College for Architecture and Urban Planning at the University of Ferrara (2024/2025 academic year). His teaching focuses on landscape architecture modules, particularly those addressing risk mitigation design and urban climate considerations. His scholarly output demonstrates significant engagement with both theoretical landscape discourse and practical design applications. Recent works explore soil transformation as design praxis, adaptive valorization of rural waterfront areas, and the integration of environmental assessment procedures with ecosystem services frameworks. His research increasingly incorporates cross-disciplinary approaches, connecting landscape architecture with geology, space exploration, and environmental science.

• Gastroenterology
• Endoscopy Techniques
• Oncological Endoscopy
• +۳ مورد دیگر

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

• Artificial Intelligence
• Computational Social Science
• Misinformation and Disinformation
• +۵ مورد دیگر

Francesco Pierri is an Assistant Professor in the Department of Electronics, Information and Bioengineering (DEIB) at Politecnico di Milano. He is affiliated with Indiana University Bloomington’s Observatory on Social Media (OSOME) and was previously a Visiting Scholar at the University of Southern California’s Information Sciences Institute. Research Focus: His work sits at the intersection of Artificial Intelligence and Computational Social Science, specializing in building trustworthy and safe AI systems. He employs data-driven computer and network science methods to investigate large-scale online phenomena, particularly how generative AI reshapes digital information ecosystems. Core research themes include mitigating AI-amplified misinformation/disinformation risks and developing frameworks to enhance platform safety, accountability, and integrity. Publication Trends: Recent work (2024-2025) reveals intense focus on societal impacts of generative AI, including conspiracy theory propagation on TikTok, AI’s role in information disorders, cultural bias in language models, and hate speech dynamics in political discourse. Key methodological threads involve network analysis, behavioral experiments with LLMs, and computational epidemiology models linking misinformation to real-world harm. Scientific Recognition: National Scientific Habilitation in 09/H1 – Sistemi di Elaborazione delle Informazioni (II Fascia) (March 2025) Academic Service & Mentoring: Pierri actively mentors Master’s students at Politecnico di Milano in LLM applications, social media integrity, and computational social science. He serves on program committees for premier conferences (ICWSM 2022-2025, The Web Conference 2024-2025, CIKM 2022-2025) and co-organizes specialized workshops like CySoc and RisksGenAI. His editorial roles include Associate Editor for EPJ Data Science and PLoS One, plus Guest Editor for ACM Transactions on Intelligent Systems and Technology special issues. Research Infrastructure: He operates within Politecnico di Milano’s Data Science Lab (DEIB) while maintaining active collaboration with OSOME. Pierri coordinates the Lake Como School of Advanced Studies’ Ph.D. program on Computational Social Science and co-leads the XJTU-Polimi Joint School of Design and Innovation’s data science curriculum.

Kaicheng Yangمشاهده پروفایل

پژوهشگر

• Computational Social Science
• Social Bots
• Misinformation
• +۴ مورد دیگر

Kaicheng Yang is a postdoctoral researcher at Northeastern University , with an upcoming transition to Assistant Professor in the Department of Computer Science at Binghamton University in Fall 2025. His work bridges computational social science, AI ethics, and platform governance. Education: Ph.D. in Informatics from Luddy School of Informatics, Computing, and Engineering , Indiana University Bloomington His research investigates malicious information manipulation through social bots, algorithmic biases, and generative AI misuse, developing countermeasures for trustworthy online ecosystems. Recent publications explore domain-sharing patterns , news source credibility , and AI-generated social media fraud across journals like Scientific Data , PNAS , and Journal of Online Trust and Safety . Awarded Best Paper - Honorable Mention at the International AAAI Conference on Web and Social Media, Yang also contributes to open-source tools such as the LLM Domain Classification dashboard and Botometer X. His work has received media coverage from Wired , Forbes , and MIT Technology Review .

Siqi Wuمشاهده پروفایل

استادیار

• Computational Social Science
• Web Data Analysis
• Social Media Research
• +۷ مورد دیگر

Siqi Wu is an Assistant Professor of Information and Library Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. Previously, they were a postdoc research fellow in the Center for Social Media Responsibility at the University of Michigan School of Information. Dr. Wu is a computational social scientist who collects, models, and analyzes web data at scale, with research focusing on understanding social phenomena through large-scale empirical measurements and designing next-generation sociotechnical systems via data-driven policies and interventions. Dr. Wu's educational background includes: Ph.D. in Computer Science from the Australian National University M.S. in Information Technology from the University of Melbourne B.E. in Electronics Engineering from Tianjin University Dr. Wu's research spans computational social science, large-scale web data analysis, and social media systems. Their work examines YouTube recommendation networks, Twitter data analysis, prevalence estimation techniques, and cross-platform attention dynamics. Recent projects investigate user control over recommendations, harmful content detection, and cross-partisan communication patterns, combining computational methods with social science theories to understand algorithmic influence on online experiences and develop practical interventions. Dr. Wu's publications demonstrate consistent excellence in social media analysis, with particular expertise in measuring attention dynamics across platforms, estimating class prevalence using black box classifiers, and understanding recommendation systems. Their work bridges technical innovation with social science questions, resulting in practical implications for platform design and policy across YouTube, Twitter, and other social media ecosystems. Notable recognitions include: Google PhD Fellowship (2018) ICWSM Best SPC (2022-2024) CSCW 2019 Best Paper Honorable Mention (top 5%) ICWSM 2021 Spotlight Paper selection (top 8) Dr. Wu actively mentors students interested in computational social science, seeking those with strong programming skills, data analysis experience, and passion for understanding social phenomena through computational methods. They serve on program committees for ICWSM, CSCW, and CHI, and their research has practical applications for social media platform design, content moderation policies, and understanding information ecosystems. Dr. Wu has developed several software tools including pyquantifier for prevalence estimation and tools for Twitter and YouTube data collection. Dr. Wu leads research on social media analysis with focus on YouTube and Twitter ecosystems, developing methods to understand recommendation systems, user engagement patterns, and cross-platform dynamics. Their work involves collecting and analyzing large-scale datasets to inform platform design and policy decisions related to algorithmic transparency and user control.

Emanuele Panizziمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Human-Computer Interaction
• Software Engineering
• +۳ مورد دیگر

Emanuele Panizzi is an Associate Professor in Computer Science at Sapienza University of Rome, Italy. He is affiliated with the Department of Computer Science within the Faculty of Information Engineering, Computer Science, and Statistics. His research focuses on AI-driven Human-Computer Interaction (HCI), particularly in smart parking systems and earthquake early warning systems. Previously, he explored usability testing, compiler design, and parallel computing. Panizzi teaches HCI and Software Architecture courses in Sapienza’s AI and Computer Science programs. He advises four Ph.D. students and over 10 master’s/bachelor’s students, having supervised 350+ theses. His consulting experience includes firms like Telepass and Immobiliare.it, emphasizing technology transfer and team leadership in R&D. Research interests span AI applications in urban mobility, disaster response, and cultural heritage. He coordinates interdisciplinary projects and has led teams of 4–80 people, emphasizing practical innovation. His work bridges academia and industry through collaborative frameworks and prototyping. Panizzi’s contributions include over 50 publications, with recent work addressing LLMs in design, implicit interaction systems, and AI ethics. His labs focus on HCI innovations and IoT-based solutions for societal challenges.

Yannick Hamonمشاهده پروفایل

پژوهشگر

• French Language Teaching
• Translation Studies
• Linguistics
• +۵ مورد دیگر

Yannick Hamon is a Researcher at Ca' Foscari University of Venice, affiliated with the Department of Comparative Linguistic and Cultural Studies. His office is located in Palazzo Cosulich (Studio 210), where he holds office hours on Tuesdays from 11:00 to 13:00. He serves as a Member of the Joint Teacher-Student Commission for the SLCC Department and acts as the Teacher Training Representative. His academic focus centers on French language teaching, translation studies, and linguistics, specifically under the SSD classification FRAN-01/B (French language, translation and linguistics). Hamon's research interests span French Language Teaching (FLE), digital technologies in language education, collaborative learning approaches, and distance teaching methodologies. His work demonstrates particular expertise in the intersection of technology and language pedagogy, with significant contributions to understanding how digital tools can enhance language acquisition and teaching practices. He has extensively explored emergency remote teaching during the pandemic, investigating how language educators adapted to sudden transitions to online instruction. His scholarship also addresses translation studies, environmental discourse, and collaborative learning models in language education. Analysis of Hamon's publication record reveals a strong trajectory in research on technology-mediated language teaching and collaborative approaches to language instruction. His work has evolved from foundational studies on translation technologies to more recent investigations of pandemic-era educational challenges and innovative solutions. A notable pattern is his consistent focus on practical applications of theoretical frameworks in real classroom settings, emphasizing action research methodologies that bridge theory and practice. His publications frequently examine how digital tools can facilitate language learning while maintaining the essential interactive elements that characterize effective language instruction. Hamon has played a significant role in coordinating teacher training initiatives, particularly through the FLE Ateliers program developed in collaboration with the Federation of French Alliances in Italy and DORIF. This initiative represents a substantial contribution to professional development for French language teachers, focusing on practical, research-informed approaches to teaching challenges. His work demonstrates commitment to improving language education through collaborative research-action frameworks that value teacher expertise while incorporating academic research findings. As an active member of the academic community, Hamon participates in research networks focused on French language teaching and plurilingualism. His work reflects engagement with broader educational challenges while maintaining specialized expertise in French language pedagogy. His contributions to the field emphasize the importance of adapting teaching methodologies to contemporary technological and social contexts while preserving the core interactive elements essential to language learning.

• Conversational AI
• Natural Language Processing
• Human-Computer Interaction
• +۲ مورد دیگر

Simone Alghisi is a PhD student and Tutor at the Department of Information Engineering and Computer Science, University of Trento. He serves as a teaching assistant for the course "Human-Machine Dialogue" covering conversational AI systems, human-computer interaction principles, and LLM-based dialogue architectures within the Artificial Intelligence Systems and Computer Science programs. His research centers on Conversational AI and Natural Language Processing , with specific focus on computational dialogue modeling, discourse analysis, and retrieval-augmented generation frameworks. His work bridges theoretical linguistics with practical LLM applications for human-machine interaction systems. As a doctoral candidate in Information Engineering and Computer Science under Ministerial Decree 45/2013, he contributes to advancing dialogue system design methodologies while supporting graduate education in AI-driven conversational technologies.

Nicole Bianquinمشاهده پروفایل

دانشیار

• Special Education
• Inclusive Education
• Disability Studies
• +۳ مورد دیگر

Nicole Bianquin serves as Associate Professor of Didactics and Special Education within the Department of Human and Social Sciences at the University of Valle d'Aosta. Her academic position centers on advancing inclusive educational practices and disability studies through rigorous research and pedagogical innovation. Her research portfolio demonstrates deep expertise in Special Education, Inclusive Education, Disability Studies, Educational Accessibility, Didactics, and Case Management. Bianquin investigates how educational systems can better serve individuals with disabilities through technology integration, community-based approaches, and rights-centered frameworks. Her work consistently emphasizes participatory methodologies where individuals with disabilities actively shape their educational experiences and support systems. Analysis of her 2023-2025 publications reveals a cohesive research trajectory focused on accessibility implementation, inclusive classroom strategies, and disability rights advocacy. She frequently collaborates with researchers Besio, Sacchi, and Giraldo across diverse publication venues including Italian Journal of Special Education for Inclusion and Nuova Secondaria. Her scholarship addresses critical gaps in teacher training, assistive technology adoption, and systemic barriers to inclusion while maintaining strong connections to practical educational contexts.

• Critical Discourse Analysis (CDA)
• Political Discourse
• European Identity
• +۶ مورد دیگر

Antonella Napolitano is a Professor in the Department of Law, Economics, Management and MET.QUANT at the Università degli Studi del Sannio (Unisannio). Her work bridges Critical Discourse Analysis (CDA) , Corpus Linguistics , and Political Communication , with a focus on European identity , gender in advertising , and language dynamics in institutional contexts . Research Themes : Napolitano explores how political and institutional discourses construct identity, power, and ideology. Her studies include the European Union's communication strategies , populist rhetoric in the Trump administration , and gender stereotypes in cosmetic advertising . Methodological Approach : She integrates corpus-assisted CDA and multimodal analysis to dissect textual and visual narratives. Her 2018 monograph Love is in the (H)Air critically examines hair product ads in the UK and Italy. Recent Publications : Notable works include analyzing adversarial learning in cancer research (2024) and online educational platforms like EdX (2020) .

• Social Psychology
• Public Health Communication
• Behavioral Economics
• +۳ مورد دیگر

Folco Panizza is an Assistant Professor at the IMT School for Advanced Studies Lucca, affiliated with the MOMILAB research group. His work focuses on behavioral interventions, misinformation mitigation, and norm dynamics in digital spaces. He explores how social and cognitive mechanisms influence decision-making in contexts like public health, environmental behavior, and political communication. His research investigates topics such as vaccine hesitancy, the impact of social media on knowledge perception, and the design of effective nudges to promote pro-social behaviors. Recent studies include analyzing the role of cultural-historical perspectives in intervention design and evaluating the efficacy of medical expert endorsements in reducing vaccine skepticism. Panizza’s publications consistently address interventions against misinformation, with a focus on both theoretical frameworks (e.g., attitude entropy models) and practical applications (e.g., online experiment-driven solutions). His work bridges social psychology, behavioral economics, and computational methods, often employing large-scale experimental designs. Notable contributions include studies on the erosion of democratic norms following election outcomes and the effectiveness of crowdsourced fact-checking. His research highlights the interplay between individual attitudes and systemic societal structures, emphasizing the need for context-aware intervention strategies.

Davide Fioreمشاهده پروفایل

استادیار

• Nonlinear Systems and Control
• Switched and Hybrid Systems
• Multi-Agent Systems
• +۳ مورد دیگر

Davide Fiore is an Assistant Professor of Automatic Control at the Department of Mathematics and Applications "R. Caccioppoli", University of Naples Federico II. His research focuses on nonlinear systems and control, switched and hybrid systems, multi-agent systems, and synthetic biology. He received his Bachelor's and Master’s degrees in Automation Engineering from the University of Naples Federico II (2010 and 2013), followed by a Ph.D. in Information Technology and Electrical Engineering in 2017. His academic journey includes visiting research periods at the University of Cambridge (UK) and the University of Bristol (UK), as well as a research internship at IBM Research Ireland. From 2017 to 2019, he held a postdoctoral position at the University of Naples, focusing on stochastic multi-agent systems in synthetic biology. Since 2020, he has been a fixed-term Assistant Professor at his alma mater. His professional roles include serving as an Associate Editor for the EUCA Conference Editorial Board (2019–2022) and the IEEE CSS Conference Editorial Board (2022–present). Education: Bachelor's in Automation Engineering, University of Naples Federico II (2010) Master’s in Automation Engineering, University of Naples Federico II (2013) Ph.D. in Information Technology and Electrical Engineering, University of Naples Federico II (2017) Research Interests: Fiore’s work integrates control engineering principles with biological systems, emphasizing synthetic biology applications. Key areas include: Design of feedback control mechanisms for cell growth and microbial populations Development of whole-cell biosensors through synthetic biology and control theory Analysis of multi-agent systems, including geometric pattern formation in robotics Robust regulation of biological processes via PID and PI control strategies Advising & Grants: While no specific advisees or grants are listed, his postdoctoral and research internship experiences underscore his active role in mentoring and collaborative projects. His editorial roles reflect his contributions to academic discourse in control systems and multi-agent dynamics. Labs/Teams: His research is embedded within the Department of Mathematics and Applications’ control systems group, though specific lab affiliations are not detailed.

• Architectural Survey
• Architectural Representation
• Digital Documentation
• +۷ مورد دیگر

Paolo Giandebiaggi is a full Professor in the Faculty of Architecture at the University of Parma, Department of Civil and Environmental Engineering and Architecture. He has been a central figure in architectural education and research, teaching courses such as Architectural Survey, Descriptive Geometry, and Analysis of Built Spaces across both undergraduate and graduate programs. His academic leadership includes serving as Chairman of the Architecture programs from 2004 to 2010 and as a member of the PhD Teachers College in Architecture Forms and Structures. His educational background includes a honors degree in Architecture from the University of Florence (1987). He began as a technical assistant before becoming a contract professor and was promoted to Associate Professor in Design (SSD ICAR 17) in 1999, then full Professor in 2006. Giandebiaggi's research focuses on architectural survey, representation, and digital tools for heritage and urban analysis. He has led major national (PRIN, MURST) and regional research projects on urban documentation, historical building analysis, and digital information systems. His work emphasizes graphical methods for understanding architecture and urban transformation, particularly through computerized tools and integrated survey techniques. His recent publications reflect a consistent engagement with architectural heritage, urban regeneration, and documentation, especially in projects involving the city of Parma, Durres Amphitheater, and Damascus Citadel. These contributions demonstrate a thematic coherence in heritage preservation, adaptive reuse, and urban morphology. Member, Teachers College of PhD in Architecture Forms and Structures, University of Parma Former Chairman, Courses of Study in Architecture, University of Parma (2004–2010) Member, Steering Committee, UID – Italian Design Union Scientific Coordinator, multiple research agreements with Parma Municipality on urban documentation and information systems Giandebiaggi has secured and led numerous research grants, including MURST 40% COFIN-PRIN and FIL projects, as well as municipal contracts focused on urban regeneration, school building management, and post-earthquake reconstruction studies. These grants reflect sustained funding and institutional collaboration. He has coordinated interdisciplinary research teams on urban survey, historical documentation, and digital representation. His work often involves collaboration with municipal authorities and international partners, such as in Albania and Syria, demonstrating leadership in applied architectural research and heritage enhancement projects.

Rocco Tripodiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Lexical Semantics
• +۳ مورد دیگر

Rocco Tripodi is a Researcher at Ca' Foscari University of Venice's Department of Environmental Sciences, Computer Science and Statistics. He holds a Ph.D. in Computer Science (2015) from the same institution, focusing on game-theoretic models for Natural Language Processing (NLP). His roles include teaching courses such as Deep Learning for NLP, Introduction to Coding, and Database Systems. He has also served as an Assistant Professor at the University of Bologna (2021–2024) and collaborated with labs like Sapienza NLP and the European Centre for Living Technology (ECLT). His research spans NLP, machine learning, and computational linguistics, with a focus on lexical semantics, game theory applications, and ethical AI. Research Interests : His work addresses challenges in lexical semantics, including word sense disambiguation, semantic role labeling, and cross-lingual NLP. He explores game-theoretic frameworks for text analysis and develops tools for cultural heritage (e.g., historical text analysis). Recent projects include evaluating large language models (e.g., ChatGPT), detecting sensitive data in text, and tracing historical biases through diachronic embeddings. Publications : Tripodi's research trends focus on NLP fairness, multilingual models, and historical discourse analysis. Notable contributions include frameworks for abuse detection evaluation (AAA), multilingual semantic role labeling (UniteD-SRL), and diachronic analysis of antisemitic language in 19th-century French texts. His work bridges technical NLP advancements with societal impact, such as ethical AI and cultural heritage preservation. Labs & Collaborations : Active in interdisciplinary projects like ODYCCEUS and Polifonia, he collaborates with institutions to apply NLP to social sciences and humanities. His labs emphasize practical applications, such as transforming text into knowledge graphs (Text2AMR2FRED) and analyzing historical textiles using spectroscopic methods.

Maria Roccaforteمشاهده پروفایل

دانشیار

• Educational Linguistics
• Italian Sign Language (LIS)
• Psycholinguistics
• +۶ مورد دیگر

Maria Roccaforte is an Associate Professor at the Department of Modern Literature and Culture, Sapienza University of Rome. Her work bridges educational linguistics, Italian Sign Language (LIS) studies, and inclusive pedagogy for deaf learners. Current projects include FIS LIS-A (Italian Sign Language Assessment) and MEMOLIS (Methodologies for LIS Teaching). PhD in Documentary, Linguistic and Literary Sciences (2016) Coordinator of Erasmus language courses (2011-2018) Collaborator with CLA (Sapienza Linguistic Center) Research focuses on eye-tracking in second-language acquisition, LIS linguistic description (particularly non-manual components), and adaptive teaching methodologies for sensory-impaired learners. She integrates computational methods with learner corpora to develop Italian L2 resources. Neuro-psycholinguistic approaches Deaf education frameworks Sign language acquisition tools Her recent publications (2023-2025) cover LIS assessment, phraseology in L2 teaching, and technology-enhanced language learning. She supervises theses requiring in-person engagement and strict timelines for Italian Didactics and LIS research.