جست‌وجوی استاد و پژوهشگر

Vladimír Urbánekمشاهده پروفایل

پژوهشگر ارشد

• Comenius Studies
• Intellectual History of the 17th Century
• Early Modern European Scholarship
• +۵ مورد دیگر

PhDr. Vladimír Urbánek, Ph.D. serves as deputy head of the Department of Comeniusology and Intellectual History of the Early Modern Age at the Institute of Philosophy of the Academy of Sciences of the Czech Republic. A prominent scholar in 17th-century intellectual history, he has been with the Institute since 1990, leading the department from 2012-2021 before assuming his current deputy role. His research focuses on scholarly communication networks, the intellectual world of post-White Mountain exile, and digital approaches to historical correspondence, particularly regarding Jan Amos Comenius. Urbánek earned his Ph.D. in History from Masaryk University in Brno (2005), with a dissertation titled 'Eschatology, knowledge and politics: A contribution to the history of thought of the post-White Mountain exile.' He completed his PhDr. at Charles University in Prague (1988) and his history studies there (1986) with a thesis on 'Strahov Canonry in the period of Josephinism and at the beginning of the national revival.' His scholarly work examines intellectual networks in early modern Europe, with particular emphasis on Comenius studies, the Republic of Letters concept, and digital methodologies for analyzing historical correspondence. Urbánek has pioneered the application of digital tools to reconstruct scholarly networks, notably through projects like the 'Network of Letters' (NETLET) and collaborations with Oxford's 'Cultures of Knowledge' initiative. Urbánek has received prestigious international fellowships including the Visiting Plumer Fellowship at Oxford's St. Anne's College (2022), Mellon Research Fellowships at the Warburg Institute (2011, 1996-1997), and a British Academy study stay at Oxford (2010). As editor-in-chief of Acta Comeniana since 2008 and member of the editorial board for the DJAK edition (Dílo Jana Amose Komenského), he has significantly shaped Comenius scholarship. His public engagement includes innovative projects like the 24-hour online reading of Comenius's works across five continents, the 'Comenius online' webinar series, and the exhibition 'J.A.K.: Komenský v kulturách vzpomínání' (2020), for which he received the 2021 Award for Popularization from the Institute of Philosophy. His media appearances include BBC Radio 4's 'In Our Time' and Czech Television's Christian magazine program.

• Artificial Neural Networks
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Marija Blagojević is a Full Professor at the Department of Information Technologies within the Faculty of Technical Sciences in Čačak, University of Kragujevac, Serbia. With over fifteen years of experience in teaching and research, she has established herself as a leading academic in Information Technologies and Systems. Her work spans multiple domains including artificial intelligence, machine learning, and educational technologies, contributing significantly to both theoretical advancements and practical applications in these fields. Dr. Blagojević began her academic career at the Technical Faculty in Čačak in October 2007, initially conducting exercises for courses in Informatics Methodology and IT Applications-Practicum. She was appointed as an Assistant in June 2008 and has since advanced to her current position as Full Professor. Throughout her career, she has continuously expanded her expertise through various specialized courses including Oracle Academy courses in database design and programming, machine learning from Stanford University, and certifications in Huawei AI technologies. Her research interests primarily focus on the application of artificial intelligence techniques to solve complex problems across diverse domains. She has made significant contributions to neural network applications, developing models for predicting apricot yields, air pollution levels, and student success in programming courses. Her work in e-learning technologies demonstrates innovative approaches for adaptive course delivery using data mining techniques. She has also pioneered research at the intersection of AI and psychology, exploring concepts like 'Artificial Psychology' and 'PsAIchology'. Analysis of Dr. Blagojević's recent publications reveals a clear trajectory toward interdisciplinary applications of artificial intelligence. Her work increasingly bridges computer science with psychology, healthcare, and environmental science. A notable trend is her focus on explainable AI, ensuring complex machine learning models remain interpretable for end-users. Her research also demonstrates strong commitment to applying technology for social good, particularly in education and rural development contexts, as evidenced by projects like WINnovators Space. Scientific Awards and Recognitions Award from 'dr Milivoje Urošević' foundation for best graduating student in 2006/2007 Four awards from Technical Faculty for excellent academic results each school year Scholarship from Fund for Young Talents Scholarship from University of Kragujevac (as one of 11 best students) Scholarship from Čačak municipality Scholarship from 'Denise Hale' Foundation Award for the best second-place innovative idea from the Union of Engineers and Technicians of Serbia (February 2020) Recognition for the best female scientist with most research results at University of Kragujevac (February 2022) Dr. Blagojević has been actively involved in research supervision and grant-funded projects throughout her career. She has served as a reviewer for three scientific journals and participated in significant research initiatives including 'Development of new information and communication technologies using advanced mathematical methods' (Project III 44006) and 'Application of biomedical engineering in preclinical and clinical practice' (Project 41007). Her international collaboration includes participation in TEMPUS project 544482-TEMPUS-1-2013-1-IT-TEMPUS-JPHES and Erasmus mobility at Alexandru Ioan Cuza University of Iaşi. As a member of the Computer Science Laboratory at the Faculty of Technical Sciences, Dr. Blagojević contributes to a collaborative research environment focused on advancing information technologies. Her interdisciplinary approach connects computer science with psychology, healthcare, and environmental science, demonstrating how technology can address complex real-world challenges while enhancing educational outcomes and community development.

Mirosław Bełejمشاهده پروفایل

استاد

• Real Estate Economics
• Housing Market Analysis
• Spatial Distribution
• +۵ مورد دیگر

Mirosław Bełej is a Professor at the University of Warmia and Mazury in Olsztyn, affiliated with the Faculty of Geoengineering and the Department of Real Estate and Urban Studies within the Institute of Spatial Management and Geography. His academic profile demonstrates extensive contributions to social and economic geography and spatial management with 84 publications and an h-index of 9 (Scopus). Professor Bełej's research primarily focuses on housing market dynamics, property valuation, and spatial analysis of real estate markets across Poland. His research spans multiple dimensions of real estate economics with particular emphasis on housing price dynamics using innovative approaches including catastrophe theory, harmonic oscillations, and Google Trends data analysis. He has extensively studied how factors like airport proximity, points of interest, and urban amenities affect housing markets, with growing attention to pandemic impacts and sustainable development considerations. His methodological contributions bridge geography, economics, and data science to provide comprehensive insights into real estate market behavior. Analysis of Professor Bełej's recent publications reveals a strong focus on spatial analysis using advanced geospatial techniques with increasing incorporation of digital footprints like Google Trends. His work shows clear progression from theoretical models toward practical applications in specific Polish regions, consistently addressing how external factors influence property values. The interdisciplinary nature of his research demonstrates innovation in methodology while maintaining practical relevance for urban planning and policy. Professor Bełej has achieved significant bibliometric recognition with an h-index of 9 according to Scopus citations and 8 according to Web of Science. His publications have accumulated a total impact factor of 36.864 and a ministerial score of 2,237, indicating substantial scholarly impact in his field. With 50 promoted theses, Professor Bełej has mentored numerous graduate students in real estate economics and spatial management. Though only one project is explicitly mentioned in his profile, his extensive publication record suggests involvement in multiple research initiatives across disciplinary boundaries relevant to urban planning, economic policy, and geographic information science. His research likely involves interdisciplinary collaboration within the Institute of Spatial Management and Geography, combining expertise in geography, economics, and data science. Publications indicate engagement with both national and international scholarly communities in real estate research, with applications relevant to urban planning and property valuation practices.

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

• Geographic Information Systems
• Knowledge Graphs
• Historical GIS
• +۳ مورد دیگر

Nathalie Abadie is a Researcher at the Geographic Information Science and Technology Laboratory (LaSTIG) within the National School of Geographic Sciences at the University of Paris-East. She leads research in geographic information science with a focus on knowledge capture, geohistorical data, and semantic web technologies. Her work bridges historical geography, digital humanities, and artificial intelligence. Her research interests include structured data matching with geographic reference datasets, creation of geohistorical knowledge graphs, and knowledge acquisition for geographic data. She develops methodologies for spatial named entity linking, multimodal image matching, and historical data integration, particularly applied to urban evolution studies of Paris from 1789-1950. Dr. Abadie's recent publications demonstrate trends in geohistorical knowledge graph construction, historical document analysis, and real-time geolocation applications. Her work increasingly integrates machine learning with traditional GIS techniques to address challenges in historical data processing and disaster response. She actively advises PhD students including Solenn Tual, Charly Bernard, and Helen Mair Rawsthorne, and has led major research projects such as SoDuCo (Study of Urban Spatial Structures Evolution) and Mezanno (Collaborative Annotation Tools). Her grants include CNRS-funded initiatives in digital humanities and geospatial AI. Dr. Abadie co-leads the STRUDEL research team and directs multiple national working groups including the CNRS GDR MAGIS commission on Geohistorical Knowledge Graphs. She organizes major conferences including the French Knowledge Engineering Conference and workshops on Digital Humanities and Artificial Intelligence.

Marie-Dominique Van Dammeمشاهده پروفایل

مدرس

• Geographic Information Systems (GIS)
• Spatial Data Integration
• Semantic Data Matching
• +۷ مورد دیگر

Marie-Dominique Van Damme is a Lecturer at the French National School of Geographic Sciences (ENSG), IGN's School of Geomatics, and is in charge of research and studies in the MEIG research team within the LASTIG research laboratory. She has been an IGN Teacher-Researcher at ENSG-Géomatique since August 2019, and from March 2025 will return to full research activities at LASTIG while continuing to teach programming with GIS, modeling, databases, and integration of heterogeneous data at ENSG. Dr. Van Damme earned her Computer Engineering degree with an information systems option from the National Conservatory of Arts and Crafts in 2010. Her professional experience includes: August 2019 – present: IGN Teacher-Researcher at ENSG-Géomatique May 2012 – July 2019: Research engineer at LASTIG, MEIG team May 2005 – April 2012: Project Manager at the National Forest Inventory June 2000 – April 2005: Web developer at Risc Group Her research focuses on semantic integration of heterogeneous geographic data, data matching, and the application of these techniques to mountain rescue scenarios. She has led and participated in several significant research projects including: CHOUCAS Project (ANR, 2017-2022): Multi-source semantic integration of landmark objects for mountain rescue LANDSENSE (H2020, 2016-2020): Crowd and community sourcing for land use monitoring UrCLIM (ERA4CS, 2017-2020): Retrieving land cover data for urban climate studies IntForOut (ANR, 2024-2027): Current project on trajectory analysis Dr. Van Damme has developed several software tools to support her research, including Tracklib (a Python library for GPS trajectory manipulation) and MultiCriteriaMatching (a Java library for multi-criteria data matching based on Belief Theory). Her recent publications show a strong focus on spatial data quality, landmark ontology development, mountain rescue applications, and the use of crowdsourced data for geographic information. The research trends indicate a progression from foundational work on data matching algorithms to applied research in emergency response scenarios, particularly mountain rescue operations. She has supervised numerous students including PhD candidate Mathieu Mehdi ZRHAL (defended 2023), research engineers, and multiple internship students working on geospatial projects related to mountain rescue, data integration, and GIS development. She has also led the pedagogical responsibility for the first-year master's degree in geomatics at Gustave Eiffel University from August 2019 to March 2025. Dr. Van Damme's work bridges theoretical research in geographic information science with practical applications in emergency response, demonstrating the real-world impact of geospatial technologies.

Tom Hartمشاهده پروفایل

مدرس ارشد

• Ecology
• Conservation
• Marine Ecology
• +۵ مورد دیگر

Dr. Tom Hart is a Senior Lecturer in Conservation and Ecology at the School of Biological and Medical Sciences, Oxford Brookes University. He specializes in behavioral landscape ecology within environmental change contexts, spanning population studies, conservation genetics, and technology-driven solutions like event cameras and drones. Teaches Animal Biology and Conservation BSc courses Leads MSc modules in Conservation Ecology Develops remote monitoring systems for extreme environments His research focuses on Antarctic and sub-Antarctic marine predators, particularly penguins, using genetic analysis to map population structures and inform policy decisions on protected areas. Collaborations include Adrian Smith (Oxford), Gemma Clucas (Cornell), Heather Lynch (Stony Brook), and organizations like British Antarctic Survey and Natural England. Recent projects funded by National Geographic Society and DEFRA (totaling £452,358) aim to enhance Southern Ocean predator conservation through camera networks and address avian flu risks. His work integrates citizen science via Penguin Watch and AI-driven analysis of remote sensing data. Key publications emphasize spatio-temporal dynamics of penguin colonies, disease ecology , and climate change impacts on Southern Ocean species. Current studies explore mercury contamination, drone monitoring protocols, and adaptive evolution in penguins.

Mohammed El-Kebirمشاهده پروفایل

دانشیار

• Cancer Genomics
• Computational Biology
• Combinatorial Optimization
• +۴ مورد دیگر

Mohammed El-Kebir is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC) , with affiliate appointments in Electrical & Computer Engineering, the Institute of Genomic Biology, and the National Center for Supercomputing Applications. His research focuses on combinatorial optimization algorithms for fundamental challenges in cancer genomics and computational biology , particularly tumor phylogenetics , single-cell sequencing data analysis , and metastasis migration history modeling . PhD in Computer Science, Centrum Wiskunde & Informatica (Netherlands) and VU University Amsterdam (2015) Postdoctoral training at Brown University and Princeton University (2014-2017) El-Kebir's work addresses intra-tumor heterogeneity by developing mathematical models to reconstruct evolutionary trees of cancer mutations from mixed sequencing data. His lab has pioneered methods like SPhyR and MACHINA for phylogeny inference under data limitations, and PhyDOSE for optimizing single-cell sequencing experiments. His research bridges computational challenges with clinical implications for personalized medicine and therapy resistance prediction . Key contributions include: Theoretical foundations for cancer phylogenetic problems (hardness proofs, algorithm design) Single-cell sequencing algorithms accounting for data sparsity and errors Migration graph frameworks for metastasis analysis Interactive tools like ClonArch and CNAViz for tumor data visualization El-Kebir has received multiple accolades including the NSF CAREER Award (2021) and CRII Award (2019) . His group has produced 15+ peer-reviewed publications since 2020, with student collaborators securing prestigious fellowships like the NSF GRFP . He actively contributes to conference program committees (RECOMB, ISMB, WABI) and teaches graduate-level courses in Bioinformatics and Computational Cancer Genomics .

Yvonne Franzمشاهده پروفایل

مدرس ارشد

• Urban Geography
• Urban Studies
• Social Geography
• +۶ مورد دیگر

Yvonne Franz is a Senior Lecturer and Postdoc Researcher at the Department of Geography and Regional Research (University of Vienna), with dual affiliation to the Department of Sociology. She directs the postgraduate program Cooperative Urban and Regional Development , serves as vice director of geography studies, and coordinates the Erasmus Mundus Joint Master in Urban Studies (4CITIES). As a core member of the Urban Futures research platform, she investigates multi-scalar urban transformation, focusing on neighborhoods, gentrification, super-diversity, and social innovation. Urban Futures Research Platform INTERREG Central Europe project "GEtCoheSive" (Vienna, Berlin, Bologna, Ljubljana) Urban Sustainability Living Lab Her research emphasizes participation in governance, urban living labs, and interdisciplinary methodologies. She has co-authored over 89 publications and contributed to 3 projects (including INTERREG) since 2010, with recent work on Ukrainian refugee housing in Europe and climate-resilient urban development. Franz has received 8 scientific prizes and actively engages in policy-oriented research, citizen science, and comparative urban studies across New York City, Vienna, and Slovenian contexts. Editorial roles in academic collections Radio/web interviews on urban exclusion and DIY urbanism Teaching focus on urban fieldtrips and living lab design Her scientific awards include recognition for impactful research in urban studies, with over 168 Mendeley readers for her 2022 student housing article. Franz's work bridges academic inquiry with practical urban interventions, emphasizing equity in housing, governance, and social infrastructure.

• Mathematics
• Applied Mathematics
• Theoretical Mathematics
• +۳ مورد دیگر

Ioannis Papadoperakis is a Professor at the Agricultural University of Athens , affiliated with the School of Environment and Agricultural Engineering and the Department of Natural Resources Management and Agricultural Engineering. His academic work spans mathematics, geometry, and differential equations, with a focus on theoretical and applied mathematical analysis. Teaches Partial Differential Equations (Postgraduate, 5 Teaching Units) Teaches Applied Mathematics Topics (Undergraduate, 4 Teaching Units) Teaches Introduction to Infinite Calculus and Linear Algebra (Undergraduate, 4 Teaching Units) His research interests include: General Keywords: Mathematics, Geometry, Mathematical Analysis Sub-fields: Hilbert Geometry, Conical Singularities, Geodesic Flows, Mapping Class Groups, Handlebody Theory, Hyperbolic Surfaces Explore his publications on Google Scholar and Web of Science .

Abdulhussain E. Mahdiمشاهده پروفایل

استاد

• Text Analytics
• Knowledge Organisation
• Information Retrieval
• +۸ مورد دیگر

Professor Abdulhussain E. Mahdi is a Professor in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. He leads the Text Analytics & Knowledge Organisation (TAKO) Research Group and serves as Director of the Regional Peer-Supported Learning Centre and Joint Director of the ICT Learning Centre at UL. Education: BSc in Electrical Engineering (1st class) from the University of Basrah (1978) PhD in Electronic Engineering from the University of Wales, Bangor, UK (1990) SEDA Accredited Teacher of Higher Education (SEDA & University of Plymouth, UK, 1998) Research Interests: Professor Mahdi's research spans text data mining & analytics, knowledge organisation & linked data, information retrieval & extraction, and signal, speech, and NLP. He also focuses on learning analytics, inquiry-based learning, and collaborative student-centred active learning. His work integrates advanced computational techniques for semantic analysis and educational applications. Publications Trends: His recent publications (2014-2018) demonstrate a strong focus on text analytics, particularly in Arabic text classification, semantic relatedness, and the application of text mining to educational contexts such as analyzing StackOverflow for computer science learning. Additionally, he has made contributions to sensor technology, especially displacement current contactless sensors for biopotential measurement. Advising and Grants: While specific details of grants and advisees are not provided, Professor Mahdi's extensive publication record (over 150 peer-reviewed articles) and leadership of the TAKO Research Group indicate active supervision of students and successful grant acquisition. Labs and Teams: He leads the TAKO Research Group, which focuses on text analytics and knowledge organisation. Additionally, he directs the Regional Peer-Supported Learning Centre and the ICT Learning Centre, fostering collaborative learning environments and technological innovation in education at UL.

Janna Hastingsمشاهده پروفایل

استادیار

• Medical Knowledge Systems
• Artificial Intelligence in Healthcare
• Ontology Development
• +۴ مورد دیگر

Janna Hastings is Assistant Professor for Medical Knowledge and Decision Support at the Institute for Implementation Science in Health Care (Faculty of Medicine) at the University of Zurich since August 2022, while also serving as Vice-Director of the School of Medicine at the University of St. Gallen. Her research focuses on digitalization in clinical contexts, examining how AI-driven knowledge systems reshape clinical practice, professional identity, and doctor-patient relationships. Education: PhD in Computational Biology (University of Cambridge, 2019), part-time MSc in Computer Science (University of South Africa, 2011), MSc in Philosophy (Open University, 2012) Prior Roles: Group Coordinator at European Bioinformatics Institute (2006-2015), Postdoctoral Researcher at Otto-von-Guericke University Magdeburg (2019-2022), Co-Leader of Human Behaviour-Change Project at University College London (2017-2022) Her research spans ontology development for biomedical domains (ChEBI, Human Behaviour Ontology), AI applications in healthcare decision-making, and behavior change interventions. Key projects include: Building ChEBI molecular ontology Developing Human Behaviour-Change Project knowledge system Ontology-driven mental health frameworks LLM applications in radiation oncology Time-series modeling of metabolism in ageing She explores the capabilities and limitations of clinical AI systems, with publications in JMIR and Lancet Digital Health , covering topics like bias prevention in generative AI and proteomic biomarker discovery. Her work bridges biomedical research with implementation science and digital ethics.

• Functional Programming
• Compiler Design
• Game Development
• +۳ مورد دیگر

Jeroen Fokker is a Lecturer at the Faculty of Science , Utrecht University , affiliated with the Department of Information and Computing Sciences and the Software Technology group. He combines academic work with freelance software development for entomological field data processing using Klasse . His research interests focus on functional programming , compiler design , and game development , particularly in educational contexts. His recent articles (2019) emphasize game programming fundamentals, UI/UX design, and C# applications in game development, reflecting a strong pedagogical approach to teaching programming through games. He occasionally provides educational advice and web design services (2×2 days/year). His publications span functional programming tools, compiler architecture, and theoretical explorations of lambda calculus and Turing's work.

• Spatial Planning
• Demographic Change
• Infrastructure Planning
• +۸ مورد دیگر

Dr. Tatjana Fischer is a Senior Lecturer at the Institute of Spatial Planning, Environmental Planning and Land Rearrangement, part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work bridges demographic change, spatial planning policy, and social infrastructure, with a focus on aging populations, rural-urban dynamics, and accessibility. Habilitation in Spatial Research and Planning (2023) Doctoral Degree in Environmental Technology (2005) Research Interests: Infrastructure planning under demographic shifts, transdisciplinary methodologies, and accessibility in tourism and urban development Her recent publications explore residential mobility among the elderly, climate change adaptation strategies, and temporary housing solutions, reflecting her commitment to sustainable spatial frameworks. She has secured funding from the Austrian Research Promotion Agency (FFG), European Commission, and national ministries for projects addressing flood risk management, social infrastructure, and return migration patterns. Awards include the Alois Mock-Wissenschaftspreis (2024), BOKU Nachhaltigkeitspreis (2023), and multiple grants from the Austrian Federal Ministry for Science and Research. Fischer actively contributes to public discourse through presentations at global conferences on topics like disability-inclusive planning, regional resilience, and demographic trends. Key Projects: Identification and Assessment of Non-Climate Risk Drivers (2026-2028), Accessible Spaces for All (2023-2026), and Regional Resilience in Ötscher Region (2023-2025) Leadership: Project lead in 12+ research initiatives since 2009

• Quantitative Science Studies
• Social Network Analysis
• Interdisciplinary Research
• +۵ مورد دیگر

Bart Thijs is an Assistant Professor at the Faculty of Economics and Business of KU Leuven , Belgium. He is affiliated with the Department of Management, Strategy and Innovation and serves as a research expert at ECOOM , the Research and Development Monitoring Research Centre. He is also a member of Leuven.AI , the KU Leuven Institute for Artificial Intelligence, and participates in various faculty councils and program committees. Research Focus His research lies at the intersection of quantitative science studies , social network analysis , and interdisciplinary research evaluation . He employs advanced bibliometric and AI-based techniques to study knowledge networks, citation patterns, and the impact of interdisciplinary collaboration. His work often involves the development of new indicators and methodologies for assessing scientific output and collaboration. Projects & Collaborations NIKAW (2023–2027): Tracing the Impact of Change on Citation Networks in Ancient Literary Texts using Social Network Analysis. NIKAW (2022–2026): Networks of Ideas and Knowledge in the Ancient World. AI & Ancient World Scholarship (2021–2023): Linking traditional scholarship with digital tools via AI. Interdisciplinary Research & Impact (2020–2025): Co-promoting interdisciplinary initiatives. Teaching He teaches courses such as Analysis of Large Scale Social Networks and Advanced Research Methods in Quantitative Science and Technology Studies , contributing to both methodological and domain-specific education in scientometrics and network science.