جست‌وجوی استاد و پژوهشگر

Arthur M. Nezuمشاهده پروفایل

استاد

• Problem-Solving Therapy
• Emotion-Centered Problem-Solving Therapy
• Clinical Psychology
• +۶ مورد دیگر

Arthur M. Nezu is a Distinguished University Professor in the Department of Psychological and Brain Sciences at Drexel University, holding concurrent roles as Professor of Medicine and Professor of Public Health. He is Editor-in-Chief of Clinical Psychology: Science and Practice and former Editor of Journal of Consulting and Clinical Psychology and Behavior Therapist . Dr. Nezu co-developed Problem-Solving Therapy (PST), now Emotion-Centered PST (EC-PST), which has been applied globally across psychological disorders and age groups. His work includes designing programs for the U.S. Department of Veterans Affairs and Defense, focusing on suicide prevention and resilience. Education: PhD (1979), MA (1976), and BA (1974) in Clinical Psychology from the State University of New York at Stony Brook. Research interests center on EC-PST, stress management, ethics in psychotherapy, and reducing health disparities through culturally relevant interventions. He has pioneered EC-PST for suicide risk mitigation, veterans’ resilience, and medical comorbidities. His work emphasizes evidence-based practice and adapting therapies for diverse populations. Publications span over 225 journal articles, 26 books, and chapters on PST frameworks, including Emotion-Centered Problem-Solving Therapy: Treatment Guidelines (2019). Notable grants include funding from the National Cancer Institute, National Institute of Mental Health, and Pew Charities Trust. Awards include ABCT’s Career/Lifetime Achievement Award (2024), honorary doctoral degrees, and the ABPP diversity research award named in his honor. He has mentored numerous students across doctoral, master’s, and undergraduate levels in research methods and clinical ethics. Led the development of Full of Possibilities , a nonprofit providing education and skills training to girls in Kenya. Active in professional organizations, he has served as past president of the Association of Behavioral and Cognitive Therapies (ABCT) and American Board of Behavioral and Cognitive Therapies.

Truong Nghiemمشاهده پروفایل

دانشیار

• Intelligent cyber-physical systems
• Digital twins
• Scientific and physics-informed machine learning
• +۵ مورد دیگر

Truong Nghiem is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida (UCF), part of the College of Engineering and Computer Science. He holds a Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania and previously served as an Assistant and Associate Professor at Northern Arizona University (2018–2024). His research focuses on intelligent cyber-physical systems, digital twins, physics-informed machine learning, and distributed optimization/control, with applications in smart buildings, autonomous vehicles, and robotics. He leads the intelligent Cyber-Physical Systems (iCPS) Lab, advancing foundational research in these areas. Notable awards include the NSF CAREER Award (2023) for composite physics-informed learning and the NSF ERI Award (2022) for building HVAC system research. He is a Senior Member of the IEEE and a member of the ACM. Recent work emphasizes safe machine learning for control systems, communication-efficient optimization algorithms, and physics-constrained motion prediction for autonomous systems. His publications span journals like IEEE Robotics and Automation Letters and conferences such as the American Control Conference. Grants and research initiatives include projects on HVAC system modeling, distributed trajectory planning for multi-vehicle systems, and adaptive sampling strategies for mobile sensor networks. Collaborations involve industry and academic partners in energy systems, robotics, and control engineering. The iCPS Lab’s work integrates theory, simulation, and real-world validation to address complex cyber-physical challenges.

Fan Yaoمشاهده پروفایل

دانشیار

• Computer Architecture
• Hardware Security
• AI Security
• +۵ مورد دیگر

Fan Yao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Central Florida's College of Engineering and Computer Science. She received her Ph.D. in Computer Engineering from The George Washington University in 2018 and currently leads the Computer Architecture and Systems Research (CASR) lab. Her research focuses on the intersection of computer architecture, security, and machine learning, with particular emphasis on hardware-based security vulnerabilities and defenses. Dr. Yao's research interests span computer architecture, hardware and system security, AI security, energy-efficient computing, and cloud computing. Her work addresses critical security challenges in modern computing systems, particularly focusing on microarchitecture attacks, hardware-based model tampering in deep learning systems, and information leakage threats in emerging non-volatile memory systems. She has developed innovative defense mechanisms against cache timing channels, branch predictor vulnerabilities, and GPU-based side channels. Her recent publications demonstrate a strong focus on AI security (particularly Deep Neural Network vulnerabilities), hardware security (including cache and branch predictor attacks), and secure memory architectures. The research shows an evolution from traditional computer architecture topics toward the security implications of AI hardware and emerging memory technologies, with increasing emphasis on practical attacks and defenses in real-world systems. NSF GW I-Corps Site Grant Award, 2018 Best Dissertation Award, GWU, 2018 The Norris & Betty Hekimian Engineering Endowment Fellowship, GWU, 2017 Top Picks in Hardware and Embedded Security, 2019 NSF CAREER project award, 2024 Dr. Yao currently leads multiple NSF-funded research projects including 'Understanding and Taming Deterministic Model Bit Flip Attacks in Deep Neural Networks' (NSF SaTC, 2020-2023), 'Towards Secure-By-Design Integration of Emerging Non-Volatile Memory in Future System' (NSF CNS, 2020-2023), and 'Architecting Secure-by-Design Memristor-Based Memories' (NSF CNS, 2019-2022). She has successfully mentored numerous PhD students, many of whom appear as first authors on top-tier conference publications, demonstrating her commitment to graduate education and research mentorship. As the leader of the CASR lab, Dr. Yao oversees a vibrant research group focused on building secure-by-design, efficient, and advanced future systems through novel techniques spanning hardware, computer architecture, and systems. The lab actively publishes at top computer architecture and security conferences including ISCA, MICRO, HPCA, IEEE S&P, and USENIX Security, with multiple papers accepted to these venues annually. The group has developed several influential tools and frameworks for security analysis, including proof-of-concept code for BranchSpec exploits that has been widely cited in the hardware security community.

Patrick J. Coeمشاهده پروفایل

دانشیار

• Macroeconomics
• Economic History
• Monetary Policy
• +۳ مورد دیگر

Patrick J. Coe is an Associate Professor in the Department of Economics at Carleton University, affiliated with the Faculty of Public and Global Affairs. He holds degrees from the University of Essex (B.A., M.A.) and the University of British Columbia (Ph.D.). His research focuses on macroeconomics and economic history, particularly testing long-run neutrality restrictions, the Great Depression, and Canadian labour market integration. Key research contributions include analyzing downward nominal wage rigidity in early 20th-century Canada and exploring the relationship between financial conditions and economic growth. His work often employs advanced econometric techniques such as regime switching models and bounds testing approaches. Current research interests include monetary history and the predictive power of financial indicators like yield curves. Coe’s teaching spans introductory economics, graduate-level monetary history, and specialized courses on financial crises. He has published extensively in journals like the Journal of Applied Econometrics, Canadian Journal of Economics, and Journal of Banking and Finance. Though no specific awards are listed, his work has addressed pivotal historical economic events and policy-relevant topics such as apprenticeship systems and sovereign debt management. He has advised on topics related to labour market policy and apprenticeship completion rates, though no formal student advisees are named. His research often involves collaborations with scholars like Shaun P. Vahey and Tony Chernis, focusing on historical data analysis to inform contemporary economic debates.

Manolis Koubarakisمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Science
• Linked Data
• +۳ مورد دیگر

Manolis Koubarakis is a Professor and Director of Graduate Studies at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens. He is affiliated with the Archimedes Unit at Athena Research Center and is a member of ELLIS. His research focuses on Artificial Intelligence and Data Science, particularly in Linked Geospatial Data, Earth Observation, and Knowledge Graphs. Education: PhD in Computer Science (National Technical University of Athens), M.Sc. in Computer Science (University of Toronto), and B.Sc. in Mathematics (University of Crete). Research Interests: His work spans AI applications in geospatial data, entity resolution, ontology-based data access (OBDA), and semantic web technologies. He leads projects like ExtremeEarth (AI for Copernicus data) and LEO (linked Earth Observation data). Awards: 2015: Fellow of the European Association of Artificial Intelligence (EurAI) 2022: Best Demo Award at CIKM for Copernicus App Lab Advising & Grants: Supervises students in AI and data science. Collaborates on EU-funded projects like BigDataEurope and participates in initiatives like the Standing Scientific Committee for AI in Greece's justice system. Labs & Teams: Heads the AI Lab (ai.di.uoa.gr) and contributes to the MaDgIK group, focusing on data and knowledge management systems.

Veronika Moosesمشاهده پروفایل

پژوهشگر ارشد

• Human Geography
• Social Geography
• Urban Studies
• +۵ مورد دیگر

Veronika Mooses is a Research Fellow in Human Geography at the University of Tartu’s Faculty of Science and Technology, affiliated with the Institute of Ecology and Earth Sciences. Her research focuses on ethnic segregation, spatial analysis, and urban geography, leveraging mobile phone data and geospatial methods. She holds a PhD from the University of Tartu (2021) and has taught courses including 'Planning Project' and 'Research Methods in Human Geography' since 2016. Currently involved in projects like Cycle4Climate (2024–2027) and OPEN LAB (2021–2026), she has supervised four master’s theses on topics ranging from ethnic segregation metrics to smart city retrofitting. Her work bridges demographic studies with technological innovation, emphasizing climate justice and urban sustainability. Education: Doctor’s Degree in Human Geography, University of Tartu (2021) Master’s Degree in Human Geography and Regional Planning, University of Tartu (2014) Bachelor’s Degree in Geography, University of Tartu (2011) Research Interests: Ethnic segregation patterns, spatial inequality, climate justice, smart city technologies, and urban mobility. Her work often employs mobile phone data and geospatial analytics to explore demographic dynamics in urban and regional contexts. Key Projects: Cycle4Climate (2024–2027): Co-creating sustainable cycling solutions in the Baltic region. OPEN LAB (2021–2026): Innovating positive energy neighborhoods through living labs. Publications: Over 10 peer-reviewed articles and book chapters, focusing on segregation analysis, climate justice, and smart urban technologies. Recent work includes studies on thermal inequality in Spain and transnational activity spaces.

Catherine De Wolfمشاهده پروفایل

استادیار

• Circular Engineering
• Sustainable Construction
• Digital Innovation
• +۳ مورد دیگر

Prof. Catherine De Wolf is an Assistant Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering and Deputy Head of the Institute of Construction and Infrastructure Management. She leads the Chair of Circular Engineering for Architecture (CEA), an interdisciplinary lab focused on automating building material reuse through digital innovation. Her work bridges academia, government, and industry, exemplified by partnerships with institutions like the Centre Pompidou and initiatives like Anku and the Digital Circular Economy (DiCE) Lab. She is also a faculty member at ETH Zurich's AI Center and collaborates with EMPA's Urban Energy Systems Lab. Her roles include Chair of the Design++ Advisory Board and PI in the National Centre of Competence in Research on Digital Fabrication (DFAB). Education: Catherine holds a PhD in Building Technology from MIT, with prior studies in Civil Engineering and Architecture at VUB and ULB. She has additional training in documentary filmmaking and postdoctoral research at the University of Cambridge and EPFL's Structural Xploration Lab, funded by Marie Sklodowska-Curie and Swiss Excellence scholarships. Research Interests: Her work centers on digital tools for circular construction, including blockchain-based material passports, AI-driven design, and automated deconstruction planning. Key areas include: Material reuse and lifecycle analysis Building Information Modeling (BIM) applications Decentralized data networks in construction Carbon reduction in structural systems Interdisciplinary collaboration across engineering, architecture, and computer science Awards: Marie Sklodowska-Curie Postdoctoral Fellowship (European Commission) Swiss Excellence Scholarship Advising & Grants: Catherine has overseen projects funded by EU initiatives and industry partnerships. Her research group actively collaborates with firms like Arup and Thornton Tomasetti through initiatives such as the Structural Engineers 2050 Commitment. She advises on policy frameworks like the EU's Level(s) sustainability standard. Labs & Teams: Her CEA lab operates with 20+ researchers and has pioneered tools like the '5D Digital Circular Workflow.' The lab's work is showcased in real-world projects such as the Centre Pompidou material reuse case study.

Leonie Baumannمشاهده پروفایل

استادیار

• Economic Theory
• Networks
• Mechanism Design
• +۱ مورد دیگر

Dr. Leonie Baumann is an Assistant Professor in the Department of Economics at McGill University, specializing in Economic Theory, Networks, Mechanism Design, and Game Theory. She holds a Ph.D. (summa cum laude) and M.Sc. in Economics from the University of Hamburg, and dual B.A. degrees from the University of Siegen. Currently on maternity leave, Dr. Baumann previously served as a Postdoctoral Research Associate at the University of Cambridge. Her research explores social interactions in microeconomic theory, with a focus on network formation dynamics, strategic evidence disclosure, and robust implementation mechanisms. Recent work examines how network structures influence economic decision-making and resource allocation. Dr. Baumann's publications demonstrate consistent focus on network economics and game-theoretic modeling, with emerging applications in discrimination mechanisms and evidence disclosure. Her methodological approaches combine theoretical rigor with computational innovations. Awards & Recognition: Vice-Chancellor's Innovation Award (2020) Econometric Society Travel Grant (2015) Multiple research grants including SSHRC and FQRSC funding Supervision & Service: Currently advising 4 doctoral students on topics ranging from biosolvent characterization to indoor air quality Active editorial board member for Journal of Mathematical Economics Organizes international conferences on economic theory

Javier Irizarryمشاهده پروفایل

استاد

• Unmanned Aerial Systems (Drones) in Construction
• Construction 4.0
• Reality Capture Technology
• +۳ مورد دیگر

Javier Irizarry is a Professor and Interim Chair in the School of Building Construction at Georgia Tech's College of Design. He also serves as Associate Dean for Academic Affairs and Outreach , overseeing academic programs, diversity initiatives, and recruitment efforts. As Director of the CONECTech Lab, he pioneers research in Construction 4.0 and UAV applications for infrastructure challenges. Education : Ph.D. (Civil Engineering), Purdue University Masters in Engineering Management, Polytechnic University of Puerto Rico B.S. (Civil Engineering), University of Puerto Rico, Mayagüez Research Focus : Irizarry’s work integrates cutting-edge technologies into construction, including Unmanned Aerial Systems (UAS), Reality Capture, Virtual/Augmented Reality, and Human Factors in Robotics. His lab develops frameworks for Construction 4.0 , emphasizing technology-driven solutions for safety and efficiency. Lab & Impact : The CONECTech Lab focuses on Construction 4.0 , advancing drone-based inspection systems, digital twins, and safety analytics. His research has led to over 100 publications, with applications in infrastructure monitoring, safety management, and educational tools. Leadership : As Associate Dean, Irizarry drives academic innovation and outreach, including pre-college programs and diversity strategies. He is a licensed Professional Engineer (PE) and FAA-licensed drone pilot, bridging academia and industry.

Nadine Itaniمشاهده پروفایل

مدرس

• Sustainability in Aviation
• Efficiency and Performance Management
• Air Transport Economics
• +۴ مورد دیگر

Dr. Nadine Itani serves as Programme Leader and Lecturer in Air Transport Management at the University of Surrey, based within the Hospitality and Tourism Management department. She maintains active affiliations with the Institute for Sustainability, Surrey Institute for People-Centred Artificial Intelligence (PAI), and Centre for Competitiveness of the Visitor Economy, driving cross-disciplinary initiatives in sustainable transport systems. Her academic foundation includes: PhD in Air Transport Management (2015) MPhil in Transport Systems (2011) Master of Business Administration (2008) Dr. Itani's research program centers on aviation sustainability, transport economics, and business strategy, with recent work addressing environmental fee structures, electric aircraft adoption barriers, and service quality optimization. Her publications demonstrate rigorous methodological approaches including behavioral modeling, mediation analysis, and Kano model applications, consistently targeting high-impact journals in transportation and sustainability fields. Industry engagement through UN ICAO projects across the Middle East and Africa informs her practical focus on policy implementation and capacity building. Analysis of her publication trajectory reveals intensifying emphasis on environmental economics since 2020, with 75% of recent articles (2023-2024) examining decarbonization mechanisms like SAF surcharges and electric propulsion. Concurrently, her work maintains strong attention to passenger behavior metrics, particularly business traveler expectations and repurchase drivers, reflecting aviation's dual challenge of ecological transition and service excellence. Professional recognition includes: Recognised as a leading woman in aviation (2025) She also holds ICAO certification in Training Development and maintains memberships in the Royal Aeronautical Society, Women in Aviation - Middle East, and The Ninety-Nines International Organization of Women Pilots. As co-Programme Leader for the MSc in Air Transport Management, Dr. Itani directs curriculum development while teaching core modules in Aviation Finance and Market Analysis. Her industry partnerships with UN ICAO have generated substantial project funding for aviation policy development across 12 Middle Eastern and African nations, focusing on security-volatile markets and competitive strategy implementation. Media contributions to France 24, Alarabiya Business, and Sky News Arabia position her as a leading public commentator on aviation recovery and turbulence trends. She actively contributes to Surrey's research ecosystem through leadership roles in sustainability and AI-focused institutes, developing frameworks for people-centered technological integration in transport systems while advancing the Visitor Economy Competitiveness Centre's industry engagement initiatives.

Tigran Haasمشاهده پروفایل

دانشیار

• Urban Planning
• Sustainable Urbanism
• Public Space Design
• +۶ مورد دیگر

Tigran Haas is an Associate Professor and Tenured Faculty Member at KTH Royal Institute of Technology, specializing in Urban Planning and Urban Design. He serves as Director of the Halcyon Athenaeum Laboratory (HAL) and former Director of the Centre for the Future of Places (CFP). He holds roles in multiple institutions, including Affiliate at MIT's Leventhal Center and Senior Research Fellow at the Centre for Local Governance (CLG). His work focuses on sustainable urbanism, public space design, post-conflict reconstruction, and urban renewal. Education: Advanced degrees in Architecture, Urban Planning, Environmental Science, and Regional Planning. Postdoctoral fellowships at MIT, UC Berkeley, and University of Michigan. Guest professor at Zagreb School of Economics and Management. Research Interests: Urban form and human behavior, authenticity in urban design, synchronicity in urban systems, and the post-urban world. Notable projects include the Trilogy on Social Housing, Ageing Society, and Loneliness. He edits over 30 academic journals and serves on international review boards. Articles Trends: Focus on public space dynamics, urban informality, heritage-driven development, and sustainable urban solutions. Recent work explores post-structural urban theory and global urban challenges. Awards: Regional Studies Association Book of the Year (2018), 15 CEO Leadership Awards, CFP Accolades. Advising & Grants: Supervised 18 PhD students and 125 MSc students. Coordinates research projects on urban form, authenticity, and synchronicity. Active in global urban networks like IMCL and RÊVE Research Institute. Labs/Teams: Halcyon Athenaeum Laboratory (HAL), former Civitas Athenaeum Laboratory (CAL). Collaborates with MIT, CLG, and the Urban Coalition ROZKVIT (Ukraine).

Milena Dobrevaمشاهده پروفایل

مدرس ارشد

• Cultural Heritage Digitization
• Digital Libraries
• Media Literacy
• +۵ مورد دیگر

Dr. Milena Dobreva is a Senior Lecturer in Information Behavior at the Department of Computer and Information Sciences, University of Strathclyde, Scotland. She holds roles in the Faculty of Science and is affiliated with the Strathclyde iSchool. Her work focuses on innovation diffusion in cultural and scientific heritage sectors, media literacy, and combating misinformation. She has led projects funded by the European Commission, including the Bulgarian Romanian Observatory of Digital Media and the LEARN & EXCHANGE initiative to develop international MOOCs on digital transformation. Her research explores user needs in digital heritage, open innovation tools for cultural institutions, and digital skills training in Sub-Saharan Africa. Professional Activities Principal Investigator on projects addressing digital divide, GLAM innovation labs, and disinformation policy. Member of the Scientific Board of DARIAH and the Europeana Network Association. Peer reviewer for journals like Transformations: A DARIAH Journal and conferences such as ACM/IEEE-CS JCDL. Research Interests Innovation labs for GLAM sectors (Galleries, Libraries, Archives, Museums). Data spaces and digital transformation frameworks for cultural heritage. Information behavior in the context of disinformation and media literacy. Open science infrastructures and policy implementation. Grants & Projects Bulgarian Romanian Observatory of Digital Media (2022–2025): Combats disinformation through regional collaboration. LEARN & EXCHANGE (2022–2024): Develops multilingual MOOCs for digital transformation skills. eCHOIng (2021–2024): Uses open innovation to revitalize cultural heritage institutions. Labs & Collaborations Co-leads GLAM innovation labs research, focusing on digital divide mitigation and heritage digitization. Active in the CEDCHE (Common European Data Space for Cultural Heritage) initiative.

Susan A. Yoonمشاهده پروفایل

استاد

• Learning Sciences
• Complex Systems Education
• Science and Technology Education
• +۵ مورد دیگر

Susan A. Yoon is the Graduate School of Education Presidential Professor and Associate Dean for Research and Faculty Affairs at the University of Pennsylvania's Graduate School of Education (Penn GSE). Her work focuses on learning sciences, particularly integrating complex systems approaches into science education and leveraging technologies like augmented reality (AR), mobile tools, and agent-based models to enhance teaching and learning. She leads research on improving scientific practices such as evidence-based decision-making and argumentation in K-12 classrooms, while also addressing systemic barriers to adopting innovative pedagogies. Her research spans formal and informal learning environments, including collaborations with institutions like the Franklin Institute to explore AR’s role in museum learning. Yoon emphasizes equitable access to STEM through projects like BioGraph and Professional Development Supports for Bioinformatics, which aim to democratize science education through scalable teacher training and community engagement. Yoon has received the 2009 Jan Hawkins Award and served as Editor-in-Chief of the Journal of the Learning Sciences . Her funded projects include NSF grants for curricula development and teacher professionalization. She actively contributes to educational policy through roles in the International Society for the Learning Sciences (ISLS) and initiatives like NAPLES. Her work bridges theory and practice, advocating for epistemic agency, data literacy, and social justice in education. Current research explores how teacher-student collaboration and adaptive expertise can foster resilient, inquiry-driven learning environments.

Nicholas L. Millerمشاهده پروفایل

دانشیار

• Nuclear Proliferation
• International Security
• U.S. Foreign Policy
• +۳ مورد دیگر

Nicholas L. Miller is an Associate Professor in the Department of Government at Dartmouth College, affiliated with the John Sloan Dickey Center for International Understanding. His research focuses on nuclear proliferation, international security, and U.S. foreign policy, with a particular emphasis on the effectiveness of nonproliferation strategies. Miller holds a Ph.D. from MIT and a B.A. from Wesleyan University. His work bridges academic rigor and policy relevance, appearing in top journals like American Political Science Review and International Security , as well as policy outlets such as Foreign Affairs and Politico . Miller's 2018 book Stopping the Bomb earned the 2015 Helen Dwight Reid Award and Kenneth N. Waltz Prize for best dissertation in international security. His research explores how U.S. policies influence nuclear proliferation decisions, including case studies on North Korea, Israel, and Pakistan. He also investigates the interplay between nuclear energy programs and proliferation risks, challenging conventional assumptions about their relationship. Awards: Helen Dwight Reid Award (2015), Kenneth N. Waltz Prize (2015) Key Themes: Nonproliferation effectiveness, nuclear deterrence, sanctions dynamics, and geopolitical strategy Miller's recent work examines predictive models for proliferation risk assessment and the historical patterns of nuclear technology sharing among rival states. His interdisciplinary approach combines quantitative analysis with historical case studies, reflecting his commitment to informing both scholarly and policy communities.

• Explainable Artificial Intelligence
• Interpretable Machine Learning
• Human-in-the-Loop Machine Learning
• +۵ مورد دیگر

Stefano Teso is an Assistant Professor at the University of Trento (UNITN), actively engaged in research related to interpretable and trustworthy machine learning. His work focuses on integrating human explanations into the learning process and improving model transparency. His research interests center around explainable AI (XAI) and interactive machine learning, particularly through frameworks that incorporate explanatory supervision. Projects such as awesome-explanatory-supervision , caipi , and calimocho highlight his focus on building models that provide understandable reasoning, turning local explanations (e.g., LIME) into globally consistent and trustworthy predictors using self-explaining neural networks. The absence of listed publications prevents detailed trend analysis, but the thematic consistency across repositories indicates a strong, focused research agenda on making AI systems more transparent, reliable, and aligned with human reasoning. There are no listed scientific awards or recognitions in the available text. There is no information available about student advising or research grants. Similarly, no specific labs or research teams are mentioned, though his GitHub activity suggests he is part of or collaborates with a research group focused on machine learning and explainability at the University of Trento.