Knowledge-Enriched Data Professors and Supervisors

Sebastian Esserمشاهده پروفایل

استاد

Technical University of MunichGermany

Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.

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Shenghui Wangمشاهده پروفایل

استادیار

University of TwenteNetherlands

Shenghui Wang is an Assistant Professor in Human Media Interaction with a focus on hybrid human-AI systems. Affiliated with OCLC Research Europe since 2012, his work bridges artificial intelligence, virtual reality, and cultural heritage digitization. Research Interests: Ontology modeling, eye-tracking integration, multimodal conversational agents, and FAIR metadata principles for cultural data Key Activities: Organized HHAI 2025 and ISWC 2025 conferences; presented at ICT Open 2024 and Hybrid Intelligence Consortium meetings Current Work: Developing social VR frameworks for collaborative art exploration and evaluating RAG-based chatbots in healthcare contexts His recent publications emphasize Human-Computer Interaction in educational and cultural settings, with specific attention to: Personalized learning systems Virtual heritage applications Ontology-driven VR environments Author disambiguation algorithms Wang's research contributes to UN Sustainable Development Goals through innovative applications in education, cultural preservation, and accessible AI systems.

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Qunfen Qiمشاهده پروفایل

مدرس ارشد

University of BristolUnited Kingdom

Dr. Qunfen Qi is a Senior Lecturer at the University of Bristol's School of Electrical, Electronic and Mechanical Engineering, where she leads groundbreaking research at the intersection of mathematics, informatics, and manufacturing. With over 13 years of experience, she specializes in developing smart decision-making tools for product design and inspection using category theory as a foundational mathematical language. Her work bridges multiple disciplines to create more intelligent and transparent manufacturing systems that can 'think' like human experts. Dr. Qi's research focuses on knowledge modeling for manufacturing, with particular emphasis on smart information systems, abstract mathematical theory (category theory), Geometrical Product Specifications and Verification (GPS), Additive Manufacturing, surface design, and metrology. Her unique approach applies category theory to simplify complex relationships in manufacturing data, enabling better decision-making in digital manufacturing environments. This work has become increasingly relevant as manufacturing embraces advanced digital technologies like cyber-physical systems, IoT, and AI, where managing multiple levels of abstraction is critical. Her publication record shows a clear trajectory toward more sophisticated applications of mathematical frameworks in manufacturing, with growing integration of category theory with AI approaches, particularly in explainable AI for manufacturing contexts. Recent work demonstrates increasing practical applications in additive manufacturing, quality control, and digital twin development, with strong emphasis on how these systems can explain their decisions at multiple levels of detail. Scientific Awards and Recognition UKRI EPSRC Innovation Fellow (2018-2022) EPSRC Peer Review College Member (ranked top 4% for participation in 2020/21) Project lead for ISO/TR 24331-2 Geometrical Product Specification development ISO Technical Committee Expert (TC 213, TC 184 WG26, JWG 21) BSI Technical Committee Member (AMT_4, TPR1/1, TPR1/8, TPR1/9) Co-Chair of CIRP CAT 2024 (18th International Conference on Computer-Aided Tolerancing) Dr. Qi actively recruits PhD students interested in explainable machine learning, mathematical AI foundations, and smart manufacturing applications. Her research portfolio includes four major projects totaling significant funding, including an EPSRC Innovation Fellowship for 'A semantic infrastructure for advanced manufacturing' and a Royal Society International Exchanges project on mathematical foundations for digital manufacturing systems. She maintains strong international collaborations, particularly with Italian institutions like Politecnico di Milano and CNR-STIIMA, reflecting her global impact in advancing the mathematical foundations needed for next-generation intelligent manufacturing systems.

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Joanna Józefowskaمشاهده پروفایل

استاد

Poznan University of TechnologyPoland

Professor Joanna Józefowska is a distinguished academic at Poznań University of Technology, where she serves as a full professor in the Faculty of Computing and Telecommunications, Institute of Computer Science. With a career spanning over three decades since completing her doctoral dissertation in 1990, she has established herself as a leading expert in operations research and scheduling algorithms. Her research spans several key areas within operations research, with particular emphasis on: Discrete-continuous scheduling problems Resource allocation and optimization Just-in-time scheduling models Applications of apportionment theory Energy-efficient computing systems Quantum approaches to transportation problems Professor Józefowska's recent work demonstrates her ability to adapt traditional operations research methods to address contemporary technological challenges, with publications in 2022-2023 focusing on energy-efficient computing systems and quantum approaches to electric vehicle charging infrastructure. Her research output shows consistent productivity throughout her career, with publications appearing in reputable journals such as European Journal of Operational Research, Annals of Operations Research, and Computers and Operations Research. As an academic mentor, Professor Józefowska has successfully guided multiple doctoral students to completion, with dissertations covering topics ranging from ontology enrichment to discrete resource allocation. Her supervision has helped develop the next generation of researchers in operations research and computer science, contributing to the academic ecosystem at Poznań University of Technology and beyond. Her scholarly contributions extend beyond research and supervision to include editorial roles for significant publications in her field, demonstrating recognition of her expertise by the broader academic community. Professor Józefowska continues to actively contribute to the advancement of knowledge in operations research while maintaining her position as a respected academic at one of Poland's leading technical universities.

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Marie-Christine ROUSSETمشاهده پروفایل

استاد

ENSAE ParisFrance

Marie-Christine ROUSSET is a Professor of Computer Science at the University of Grenoble Alpes (UGA) in France, where she is a member of the LIG (Laboratoire d'Informatique de Grenoble) in the SLIDE group. Previously affiliated with Paris-Saclay (LRI), she has established herself as a leading researcher in Knowledge Representation and Information Integration. She holds the distinguished position of Senior member of the Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) and serves as co-responsible for the chair Explainable and Responsible AI within MIAI Grenoble Alpes. Her research focuses on ontology-based data access, logic-based mediation between distributed data sources, query rewriting using views, data linkage, and distributed reasoning for the Semantic Web. She skillfully combines artificial intelligence and database techniques to address complex information integration challenges, with applications spanning biomedical informatics, educational technology, and trustworthy AI. Her work demonstrates consistent innovation from foundational research to practical implementations, as evidenced by her co-authorship of the book 'Web Data Management' published by Cambridge University Press. Professor ROUSSET's recent publications (2019-2022) reveal a growing emphasis on data privacy, RDF graph anonymization, and interactive ontology engineering, while maintaining her strong contributions to semantic web technologies and knowledge representation. Her research shows increasing attention to trustworthy AI concerns, aligning with her leadership roles in relevant projects. Scientific Recognition Senior member of Institut Universitaire de France (IUF) (2011-2016, renewed for 2016-2021) Junior member of Institut Universitaire de France (IUF) from 1997 to 2002 Chevalier de l'Ordre National du Merite (July 11, 2011) EurAI Fellow (nominated ECCAI Fellow in 2005) Best Paper Award at AAAI'96 for 'Verification of Knowledge Bases based on Containment Checking' Professor ROUSSET maintains an active role in the scientific community through editorial work and organizational leadership. She serves on the Editorial Board of Communications of the ACM (CACM) and has held significant roles including PC chair of EGC 2019, Workshops co-Chair of WWW 2018, and Area Chair of IJCAI 2017. Her consistent service on program committees of major international conferences demonstrates her standing in the field. Her laboratory, the SLIDE group within LIG, focuses on semantic web technologies, knowledge representation, and data integration. The group maintains strong connections with the international research community and participates in collaborative projects addressing cutting-edge challenges in artificial intelligence and data management, with particular emphasis on trustworthy and explainable AI systems.

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Paolo Miliziaمشاهده پروفایل

استاد

University of Naples 'L'Orientale'Italy

Indo-European linguistics
Old and Middle Iranian linguistics
Old, Middle, and Modern Indo-Aryan linguistics
+۹ مورد دیگر

Paolo Milizia serves as Full Professor of Glottology and Linguistics at the Department of Asia, Africa and the Mediterranean of the University of Naples "L'Orientale" since July 15, 2024. Previously, he held positions as Associate Professor at the same institution (2020-2024), Assistant Professor at the University of Naples "Federico II" (2018-2020), and Assistant Professor at the University of Cassino (2008-2018). His educational background includes a PhD in "Glottology and Philology" from the University of Milan (2003), a degree in Literature with honors from the University of Rome "La Sapienza" (1998), and a postgraduate course at Albert-Ludwigs-Universität Freiburg (2004-2005). He obtained National Scientific Qualifications for both first and second bands in the competitive sector 10/G1 "Glottology and Linguistics" in 2017 and 2014 respectively. Milizia's research focuses on Indo-European linguistics with particular emphasis on Old and Middle Iranian, Old, Middle, and Modern Indo-Aryan, Greek, Coptic linguistics, and Italo-Romance dialectology. His scholarly work addresses complex issues in etymology, diachronic phonology and morphology, and the history of writing systems, as well as general morphological theory and the history of linguistic thought. His recent publications demonstrate a sustained interest in morphological complexity, language contact phenomena, and historical reconstruction across diverse linguistic traditions. His current research output shows strong continuity with his long-standing interests in Indo-European linguistics while expanding into computational approaches and cross-linguistic comparisons, particularly evident in his recent work on Coptic morphology, Sanskrit metrics, and Ancient Greek reduplication patterns. The publications reflect methodological diversity spanning historical-comparative, typological, and computational approaches. National Scientific Qualification for first band in sector 10/G1 "Glottology and Linguistics" (2017) National Scientific Qualification for second band in sector 10/G1 "Glottology and Linguistics" (2014) Milizia actively supervises undergraduate and master's theses at the University of Naples "L'Orientale" and has served as doctoral thesis supervisor since 2013. He participates in several major research projects including PRIN 2022 PNRR "The beginning of the Armenian, Syriac, and Arabic grammatical traditions and the classical Greek grammar," PRIN 2020 "Metalinguistic texts as a privileged data source for the knowledge of ancient languages," and PRIN 2017 "Ancient languages and writing systems in contact: a touchstone of linguistic change." He also serves as a reviewer for journals including the "Journal of Historical Linguistics" and the "Atti del Sodalizio Glottologico Milanese." He is a member of the scientific committee of the journal «Storia, antropologia e scienze del linguaggio» and participates in academic community building through conference organization, including the Language Documentation Summer School 2023. His teaching encompasses General Linguistics, Glottology, and Coptic language across multiple degree programs at the University of Naples "L'Orientale."

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Lacey D. Hufflingمشاهده پروفایل

دانشیار

Georgia Southern UniversityUnited States

Lacey D. Huffling is an Associate Professor in Middle Grades & Secondary Education within the Department of Teaching and Learning at Georgia Southern University's College of Education, where she has been a faculty member since 2015. She also serves as an Affiliate with the Institute for Water & Health. Dr. Huffling maintains active research collaborations with institutions including the National Science Foundation, National Academies of Sciences, Engineering, and Medicine, and Wake Forest University. Her academic journey includes a Ph.D. in Teacher Education and Development from the University of North Carolina at Greensboro (2015), an M.Ed. in Biology Education from Wake Forest University (2008), and a B.S. in Biology and Ecology from Lee University (2003). Dr. Huffling's research centers on science education with particular emphasis on environmental education, sustainability education, and teacher development. Her work bridges formal and informal educational settings, examining how to effectively integrate place-based and global perspectives in science teaching. Recent publications reveal a growing focus on Education for Sustainable Development aligned with UN Sustainable Development Goals, as well as innovative approaches to online science teacher professional development that maintain meaningful human connection. Analysis of her 128 research outputs (2009-2025) shows consistent productivity with peaks in 2012-2014 and ongoing projects through 2027. Her work spans from field ecology and herpetology toward broader sustainability education frameworks, demonstrating an evolving but cohesive research trajectory focused on making environmental science accessible and relevant to diverse learners. Dr. Huffling has secured significant research funding including: RaMP: Mentoring and Research Opportunities for Careers in Coastal Science (MROC2S) - NSF-funded (2023-2027) Capacity Building Grants 2 of the Gulf Research Program (2019-2021) Okefenokee: Understanding real-world relevance through Suwanee Watershed assessment and monitoring project (2019-2021) Partnership Council grant at Georgia Southern University (2016-present) Wake Forest University Beginning Teacher Grant (2008-present) Her advising focuses on preservice and in-service science teachers, with particular attention to developing their capacity to teach sustainability concepts and implement globally relevant science curricula. Dr. Huffling's research group explores environmental and sustainability education through field-based approaches that connect classroom learning to real-world ecological contexts, particularly watershed systems in the southeastern United States.

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Lozana Rossenovaمشاهده پروفایل

پژوهشگر

German National Library of Science and TechnologyGermany

Lozana Rossenova is a Post-doctoral researcher at the German National Library of Science and Technology (TIB) where she works at the Open Science Lab under Prof. Dr. Ina Blümel. She serves as team lead for the Wikibase4Research service and related open source tool ecosystem developed within NFDI4Culture, the German national consortium for research data on material and immaterial cultural heritage. Her work bridges the fields of digital humanities, cultural heritage preservation, and open knowledge infrastructure development. Dr. Rossenova earned her PhD from the Centre for the Study of the Networked Image at London South Bank University through a Collaborative Doctoral Partnership project with Rhizome, a leading international born-digital art organization. Her doctoral research focused on the redesign of Rhizome's ArtBase archive, examining user agency in born-digital archives. Prior to her PhD, she completed an MA in Book Design at the University of Reading with Distinction and a BFA in Studio Art and Graphic Design from Adelphi University, graduating Summa Cum Laude. Her research interests center on user interface design for cultural heritage systems, research data management, data curation practices, and semantic web applications in digital humanities contexts. She has particular expertise in developing open source tools for knowledge graph infrastructure, with significant contributions to Wikibase implementations for cultural heritage institutions. Her work emphasizes community-oriented and ethical approaches to open source software development, especially as it relates to preserving born-digital cultural artifacts. Analysis of her recent publications reveals a strong focus on practical applications of linked data technologies for cultural heritage institutions, with particular attention to 3D model annotation, semantic enrichment workflows, and collaborative data curation approaches. Her work consistently addresses the intersection of technical infrastructure development and user-centered design principles, creating tools that serve both researchers and cultural heritage practitioners. MA Distinction from Reading University (2012) BFA Summa Cum Laude from Adelphi University (2011) Collaborative Doctoral Partnership Award from Arts and Humanities Research Council UK (2016-2020) Dr. Rossenova actively mentors students and emerging researchers, having supervised master's theses at Aalto University and taught semester-long modules at Hochschule Hannover's Faculty for Media, Information and Design since 2023. She has received research funding from multiple prestigious sources including Deutsche Forschungsgemeinschaft (NFDI4Culture project 2020-2025), Swiss National Science Foundation (2023-2027), Wikimedia Foundation (2021-2022), and National Endowment for the Humanities (2020-2021). She leads development of the Wikibase4Research service ecosystem and is deeply involved with the Wikibase Stakeholder Group. Her work connects multiple communities including the Linked Open Data Working Group in NFDI4Culture, the Knowledge Graphs Working Group in NFDI, and the LD4 Art & Design Affinity Group. Through these roles, she fosters collaboration between cultural heritage institutions, academic researchers, and open source software communities.

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Kristina Bennet Emdalمشاهده پروفایل

استادیار

University of CopenhagenDenmark

Kristina Bennet Emdal serves as Assistant Professor at the Novo Nordisk Foundation Center for Protein Research (CPR), Faculty of Health and Medical Sciences, University of Copenhagen. Her research employs quantitative mass spectrometry to investigate cell signaling mechanisms in cancer, with emphasis on receptor tyrosine kinases and phosphoproteomic dynamics in disease contexts. Education: M.Sc. Human Biology, University of Copenhagen (2008) Ph.D. in Human Biology, University of Copenhagen (2011-2015) Research Focus: Dr. Emdal's laboratory specializes in phosphoproteomic profiling of cancer signaling networks, particularly TrkA and ALK receptor pathways in neuroblastoma, biomarker identification in kidney disease, and drug-response signatures in acute myeloid leukemia (AML). Her work integrates advanced mass spectrometry with clinical samples to uncover molecular drivers of oncogenesis and therapy resistance. Key methodologies include: Quantitative phosphoproteomics for signaling network mapping Extracellular vesicle enrichment for plasma biomarker discovery Multi-omics causal modeling of oncogenic mutations Drug-resistance mechanism characterization in primary patient samples Publication Impact: Recent work (2021-2024) demonstrates a strategic shift toward clinical translation, with studies on AML combination therapies, deep plasma proteomics, and ERK pathway dynamics. Her publications in Cell , Nature , and Scientific Reports reveal consistent focus on bridging molecular signaling insights with therapeutic applications, particularly in hematological malignancies and solid tumors. Collaborative Networks: Dr. Emdal maintains active national and international collaborations, evidenced by multi-institutional publications and significant research impact metrics (e.g., 299+ Mendeley readers for 2023 plasma proteomics paper). Her work receives attention across academic (X/Twitter), clinical (news outlets), and research-sharing platforms (Mendeley). Laboratory Structure: As a core member of the Olsen Group at CPR, she contributes to the center's mission of advancing proteomics in biomedical research. The group provides infrastructure for high-resolution mass spectrometry, computational biology, and translational cancer research within the University of Copenhagen's research ecosystem.

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Wataru Toyokawaمشاهده پروفایل

پژوهشگر

RIKENJapan

Wataru Toyokawa serves as Unit Leader at the Computational Group Dynamics Collaboration Unit, BTCC, RIKEN CBS, Tokyo, and Research Scientist at the University of Konstanz's Department of Psychology. His interdisciplinary work integrates computational modelling, Bayesian statistics, and real-time behavioural experimentation to investigate human social dynamics and collective intelligence. His academic background includes: PhD in Behavioural Science, Hokkaido University (2015) M.Sc. in Behavioural Science, Hokkaido University (2012) B.Sc. in Fisheries Science, Hokkaido University (2010) Toyokawa's research centers on complex systems and social psychology, examining how individual learning strategies shape collective phenomena like cultural evolution and group decision-making. Using mathematical analysis and online experiments, he explores how social learning mitigates cognitive biases and resolves social dilemmas through computational frameworks. His work bridges evolutionary game theory with real-world behavioural data. Recent publications reveal consistent focus on the tension between individual exploration and social information use in collective intelligence. His studies demonstrate how conformity prevents suboptimal decision cascades and how risk tolerance modulates cooperative behavior in social dilemmas, advancing understanding of human group dynamics in complex environments. His scientific recognition includes: Japan Society for Promotion of Science Fellowships (2012-2019) Multiple Young Researcher Awards from Human Behavior & Evolution Society Japan Best-Poster Award from Japan Ethological Society (2012) EHBEA student travel award (2014) Toyokawa secures competitive funding including Association of Psychological Science Estes Fund grants (2022-2023) for COSMOS summer schools and CASCB Large Project grants for collective foraging research. He mentors postdoctoral researchers while teaching experimental methods, R programming, and seminars on social learning at Konstanz. He leads the Computational Group Dynamics (COGNAC) Unit at RIKEN CBS, developing real-time online experiments using Mechanical Turk and computational tools (R, Stan, JavaScript). The unit's research combines evolutionary game theory with human behavioral data to model cultural transmission and collective problem-solving in dynamic environments.

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Ling Zhengمشاهده پروفایل

دانشیار

Monmouth UniversityUnited States

Ling Zheng serves as Associate Professor and Chair of the Department of Computer Science and Software Engineering at Monmouth University, a position she has held since joining in August 2018. She earned her Ph.D. in Computer Science from the New Jersey Institute of Technology and an M.S. in Biomedical Engineering from Zhejiang University, China. Her educational background includes: Ph.D., Computer Science, New Jersey Institute of Technology M.S., Biomedical Engineering, Zhejiang University Dr. Zheng's research integrates Biomedical Informatics , Ontology Engineering , and Data Science with focus areas in biomedical ontology summarization, genotype-phenotype correlation analysis, drug-drug interaction discovery, and semantic data mining. Her work develops quality assurance methodologies to enhance biomedical knowledge representation and discovery. Analysis of her 2018-2021 publications reveals consistent innovation in ontology auditing across major biomedical terminologies (UMLS, SNOMED CT, NCIt), pioneering structural anomaly detection and machine learning applications for ontology enrichment, notably using convolutional neural networks for SNOMED CT improvement. Award highlights: 2016: Fellowship, International Conference on Biological Ontology and BioCreative 2012: Excellent Postgraduate Students Award, Zhejiang University 2009: Excellent Postgraduate Students Award, Southern Medical University 2008: National Scholarship, Ministry of Education of China As department chair and instructor of courses including Advanced Object-Oriented Programming and Applied Machine Learning, her leadership spans academic administration and curriculum development, though research grants and student advising details were not specified in the source material.

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