جستجوی استاد راهنمای دانشگاهی

• Database Systems
• Artificial Intelligence
• Big Data Analytics
• +۳ مورد دیگر

Lukas Grasmann is a Researcher at the Faculty of Informatics, Vienna University of Technology (TU Wien), based in the Databases and Artificial Intelligence research group (Institute E192-02, Room HA0302). His contact details include email lukas.grasmann@tuwien.ac.at and phone +43-1-58801-192216, with professional activities centered on cutting-edge database technologies and AI applications. His educational qualifications comprise: Bachelor of Science (BSc) Diplom-Ingenieur (Dipl.-Ing.) in Engineering Grasmann's research spans database systems and artificial intelligence with emphasis on big data analytics, distributed query processing, and skyline query optimization. His work focuses on integrating specialized query paradigms into Apache Spark SQL for efficient large-scale data analysis, particularly applied to perishable food supply chain optimization for waste reduction. This intersects computer science fundamentals with sustainability-driven practical implementations. His 2022-2023 publications reveal a concentrated research trajectory in enhancing Spark SQL's capabilities for skyline queries, addressing both theoretical optimization challenges and real-world deployment in distributed environments. The work demonstrates consistent innovation in bridging database theory with big data infrastructure, advancing scalable solutions for multi-criteria decision problems. Scientific recognition: No formal awards or fellowships documented in source materials Research funding and collaborations include: Lead researcher on FFG-funded project "AI-driven collaborative supply and demand matching platform for food waste reduction" (2022-2025) Contributor to HyperTrac project (2018-2022) focusing on traceability systems Active participant in KnowledgeGraph initiative (2020-2028) developing semantic knowledge networks He operates within TU Wien's Databases and Artificial Intelligence research ecosystem (Institute E192), collaborating with specialists like Pichler and Selzer on database scalability challenges. The group maintains strong industry connections through applied projects targeting supply chain intelligence and food waste analytics.

Bart De Moorمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Optimization
• Algebraic Geometry
• +۱۱ مورد دیگر

Bart De Moor is a Full Professor at the Department of Electrical Engineering, KU Leuven, Belgium, and a guest professor at the University of Siena. He leads the STADIUS research group and has supervised 85 PhD students. His roles include chairman of Health House (2016–present), member of the Board of VIB (Biotech Institute), and former Vice-Rector for International Policy (2009–2013). Education: Master Degree in Electrical Engineering (1983), KU Leuven PhD in Engineering (1988), KU Leuven Research Interests: His work spans numerical linear algebra, optimization, algebraic geometry, systems and control theory, data-driven AI, machine learning, and applications in process industry and biomedical big data. He has contributed to subspace identification, tensor decomposition, bioinformatics, and quantum computing. Publications Trends: His publications highlight subspace identification methods, tensor decomposition, bioinformatics, and biomedical data analysis. These reflect interdisciplinary advancements in control theory, quantum physics, and mathematical engineering, with applications in industrial and healthcare domains. Scientific Awards and Honors: Leslie Fox Prize (1989) Laureate of the Belgian Royal Academy of Sciences (1992) Bi-annual Siemens Award (1994) Fellow of IEEE (since 2004) Member of the Royal Academy of Belgium for Science and Arts (since 2000) Fellow of IFAC (since 2022) Commander in the Order of King Leopold I (2020) Fellow of SIAM (since 2017) FWO Excellence Award (2010) Advising and Grants: He has led a research group of 20 PhD students and postdocs, co-founded 8 spinoff companies, and secured the ERC Advanced Grant ‘Back to the roots’ (2020–2025). He also co-holds the KU Leuven Chair on healthcare systems (2018–present). Labs and Organizations: Active in the STADIUS research group (KU Leuven), he has served on boards of the Flemish Interuniversity Institute for Biotechnology (VIB), the Alamire Foundation, and the Health Tech Experience Center Health House. His spinoffs include Trendminer, Cartagenia, and Ugentec.

Chang Chin-Chenمشاهده پروفایل

استاد

• Information Security
• Cryptography
• Multimedia Image Processing
• +۷ مورد دیگر

Chang Chin-Chen is a Chair Professor at the Institute of Information Engineering and Computer Science, Feng Chia University, Taiwan. He holds multiple prestigious fellowships, including IEEE Fellow (1998), IET Fellow (2000), CS Fellow (2020), and AAIA Fellow (2021). His research focuses on information security, cryptography, multimedia image processing, and algorithms. He has published hundreds of papers and 30 books, with over 40,340 citations and an h-index of 93 (Google Scholar). He has mentored 7 postdoctoral, 64 PhD, and 197 master’s students. Professor Chang has led numerous national and international projects, including collaborations with Taiwan’s Ministries of Science, Education, and Transportation. He founded the Chinese Information Security Association (CISA) and served as Editor-in-Chief of multiple journals. He has received over 20 major awards, including the Wolf Foundation Prize in Medicine (though likely a misattribution, as per text), and delivered invited talks globally at institutions like the Chinese Academy of Sciences and Stanford University. His contributions include pioneering work in steganography, e-business security, and neural network applications. He holds 17 patents and is a leader in advancing information security policies in Taiwan.

Ahmet M. Tekalpمشاهده پروفایل

استاد

• Digital Image Processing
• Digital Video Processing
• Video Compression
• +۷ مورد دیگر

Ahmet M. Tekalp is a Professor of Electrical and Computer Engineering at Koc University , Istanbul, Turkey, since 2001. Previously, he held a full-time professorship at the University of Rochester (1986-2005) and part-time roles such as Chair of the Electronics and Informatics Group at TUBITAK, Turkey. His work bridges academic and industrial research, with affiliations to institutions like Eastman Kodak Company and Rensselaer Polytechnic Institute. Education: BS (1980), Electrical Engineering & Mathematics (High Honors), Bogaziçi University MS (1982) & PhD (1984), Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute (RPI) Research Interests: Digital image and video processing Video compression and streaming Motion-compensated video filtering for high-resolution Video segmentation and object tracking Content-based video analysis and summarization Multi-camera surveillance video processing Digital content protection Scientific Awards: Member, Turkish Academy of Sciences (TUBA) Fellow, IEEE Fulbright Senior Scholarship (1999) TUBITAK Science Award (2004), Turkey's highest science award Grants and Contracts: FP6 Network of Excellence, SIMILAR (2003-2007), Euro 6 Million FP6 Network of Excellence, 3DTV (2004-2008), Euro 6 Million FP7 STREP projects (DIOMEDES, SARACEN) with Euro 3 Million budgets NSF grants spanning wireless sensor networks, visual databases, and MRI motion artifact suppression Industry partnerships with Eastman Kodak, Xerox, Siemens Corporate Research Professional Activities: Editor-in-Chief, Signal Processing: Image Communication (Elsevier) Member, ERC-Advanced Panel on Informatics Editorial roles in IEEE journals and other publications Active in ISO/IEC and ANSI standards committees

Wei Liمشاهده پروفایل

استاد

• Mathematical Logic
• Concurrent Programming Languages
• Satisfiability Problems
• +۴ مورد دیگر

Wei Li is a Professor at the School of Computer Science and Engineering, Beihang University (since 1986), and Director of the State Key Laboratory of Software Development Environment (since 1992). He has held visiting positions at institutions including the University of Minnesota and Universität Saarlandes. Education: Ph.D. in Computer Science, University of Edinburgh (1979–1983) B.Sc. in Mathematics, Peking University (1961–1966) Research Interests span Mathematical Logic, Concurrent Programming Languages, Satisfiability Problems, Artificial Intelligence, Software Crowdsourcing, and Big Data. His work includes foundational contributions to logical frameworks for belief revision and specification evolution, with applications in software trustworthiness and constraint satisfaction. Publication Trends reveal a focus on formal methods (R-calculus, open logic systems), software crowdsourcing, and phase transitions in constraint satisfaction problems. His research integrates theoretical rigor with practical applications in information science and engineering. Scientific Awards include: Chinese Government Award for Publishing (2017) Tsiolkovsky Medal (2007) National Prize of First Class for Achievements in Education (2005) Ho Leung Ho Lee Prize (1998) Academician, Chinese Academy of Sciences (1997) He also supervised 8 post-docs, 52 Ph.D., and over 100 graduate students.

Matti Miestamoمشاهده پروفایل

استاد

• General Linguistics
• Language Typology
• Language Documentation
• +۶ مورد دیگر

Matti Miestamo is a Professor of General Linguistics at the University of Helsinki, affiliated with the Department of General Linguistics within the Faculty of Arts. He previously held a professorship at Stockholm University (2011–2018) and has held research positions at institutions including the Helsinki Collegium for Advanced Studies (2006–2011) and the University of Antwerp (2005–2006). His expertise spans language typology, documentation, and theoretical linguistics with a focus on negation, interrogatives, and language complexity. He has supervised 4 completed, 2 submitted, and 8 ongoing PhD students at the University of Helsinki. Education: PhD in General Linguistics from the University of Helsinki (2003). Awards include membership in the Academia Europaea (2019), Finnish Academy of Sciences and Letters (2019), and Societas Scientiarum Fennica (2017). Notable honors include the Joseph Greenberg Award (2005) and Burgen Scholar Award (2004). Research Interests: Language typology and documentation Negation structures across languages Uralic languages, particularly Skolt Saami Grammatical complexity theories Methodological approaches to linguistic sampling Professional Roles: Editor of the Nordic Journal of Linguistics (2012–present) Director of the Finnish doctoral training network Langnet (2016–2019) Vice Dean for Academic Affairs, Faculty of Arts, University of Helsinki (2017) Teaching and Outreach: Extensive teaching experience in linguistics at multiple institutions, including summer schools in Tartu and Saari Manor. Active in academic assessment roles, including professorship and docent evaluations in universities across Europe.

• Database systems
• Large scale analytics
• Distributed systems

Beng Chin Ooi is a Lee Kong Chian Centennial Professor at the National University of Singapore (NUS), School of Computing. He has been with NUS since 1991, progressing through the ranks from Lecturer to his current distinguished position. He previously served as Dean of the School of Computing from 2007 to 2013 and as Director of the Smart Systems Institute from 2011 to 2021. His educational background includes: 1985: B.Sc. (1st Class Honors) from Monash University, Melbourne, Australia 1989: Ph.D. in Computer Science from Monash University, Melbourne, Australia Beng Chin Ooi's research focuses on database systems, large scale analytics, and distributed systems. His work has been instrumental in advancing the field of data management technology, particularly in the context of "big data" in large-scale parallel and distributed systems. He has made significant contributions to spatio-temporal and distributed data management, as well as pioneering research in distributed database management and peer-to-peer based enterprise quality management. His recent publications demonstrate a strong focus on blockchain technology, machine learning systems, and healthcare informatics. There's a clear progression from foundational database research to applications in emerging technologies like blockchain and AI. His work bridges theoretical advances with practical system implementations, as evidenced by multiple open-source projects associated with his publications. His notable awards include: 2021: NUS Research Recognition Award 2020: ACM SIGMOD E.F. Codd Innovations Award 2020: ACM SIGMOD Research Highlight Award 2019: VLDB Best Paper Award 2016: Fellow of Singapore National Academy of Science 2016: China Computer Federation Overseas Outstanding Contributions Award 2014: VLDB Best Paper Award 2014: IEEE TCDE CSEE Impact Award 2013: Singapore National Day's Public Administration Medal (Silver) 2013: NUS Outstanding Researcher Award 2012: IEEE Computer Society Kanai Award 2011: ACM Fellow 2011: Singapore President's Science Award 2009: IEEE Fellow 2009: ACM SIGMOD Contributions Award Throughout his career, Professor Ooi has demonstrated exceptional leadership in the database community, promoting high standards of database research at both international and regional levels. His BLOCKBENCH framework became the world's first benchmarking tool for private blockchains, and his work on data provenance on blockchain systems earned both the VLDB Best Paper Award and the ACM Research Highlight Award. He has led several major research initiatives, including the Smart Systems Institute at NUS. Professor Ooi has established multiple open-source projects including FabricSharp for blockchain data provenance and Cool for cohort online analytical processing. His research group has consistently produced high-impact work that bridges theoretical advances with practical system implementations.

• Analytical Chemistry
• Mass Spectrometry
• Metabolomics
• +۴ مورد دیگر

Tim Causon is an Associate Professor at the Institute of Analytical Chemistry, Department of Chemistry, University of Natural Resources and Life Sciences (BOKU) in Vienna, Austria. With a PhD from the University of Tasmania and habilitation in analytical chemistry, he has established himself as a leading expert in mass spectrometry and metabolomics applications. His research focuses on developing advanced analytical methods with particular emphasis on ion mobility mass spectrometry techniques and their applications in biotechnology and metabolomics. Dr. Causon's research interests center on method development for mass spectrometric analyses in metabolomics, particularly for biotechnology and bioprocess engineering applications. His work explores fundamental studies of molecular ions and analytical applications of ion mobility mass spectrometry (IM-MS), with significant contributions to capillary electrophoresis, chromatography, and metabolomics. His laboratory develops innovative approaches for metabolite identification, structural characterization, and quantitative analysis, with applications spanning from bioproduction to environmental analysis. His recent publications demonstrate a strong focus on advancing ion mobility mass spectrometry techniques, with particular attention to collision cross section measurements, metabolite identification, and method development for complex biological and environmental samples. His work spans fundamental studies of ion behavior to practical applications in biotechnology, food science, and environmental analysis. Scientific Awards: Fritz Feigl Award from the Austrian Society of Analytical Chemistry (2022) Dr. Causon has successfully secured substantial research funding through numerous projects, including the EU-funded MobiliTraIN: Ion Mobility-Mass Spectrometry Training Network (2024-2028) and several industry collaborations. He has supervised multiple doctoral and master's students whose work focuses on analytical method development, metabolomics, and ion mobility applications. His laboratory maintains strong collaborations with both academic and industrial partners across Europe. As an active member of the scientific community, Dr. Causon organizes major conferences such as the IMS Symposium 2023 and serves on editorial boards and as a reviewer for leading analytical chemistry journals. His laboratory is well-equipped for advanced mass spectrometry research with multiple ion mobility-capable mass spectrometers and complementary analytical instrumentation.

Marcel Zentnerمشاهده پروفایل

استاد

• Personality Development
• Psychological Assessment
• Psychology of Mating
• +۲ مورد دیگر

Marcel Zentner is a Professor for Personality Psychology and Psychological Assessment at the Department of Psychology, University of Innsbruck. He previously held positions at Harvard University, UC-Berkeley, the University of Geneva, and the University of York (GB). Appointed at University of Innsbruck in 2013, he leads research in personality development, psychological assessment, the psychology of mating, emotion and music. His educational background includes: 2004: Habilitation in Psychology, University of Fribourg, Switzerland 1996: Ph.D., University of Zurich 1992: Diploma (Licentiate) in Psychology, University Zurich 1986-1992: Studies in Psychology, Clinical Child Psychology, and Philosophy, University of Zurich and Harvard University Zentner's research spans multiple domains at the intersection of personality, emotion, and music. His work on temperament assessment has led to the development of validated screening tools used across multiple countries. His research on musical emotion has resulted in systematic approaches to mapping emotional responses to music, culminating in projects like the Emotion-to-Music Mapping Atlas (EMMA). His studies on partner preferences integrate sociocultural and evolutionary perspectives to understand how gender differences in mate selection vary across different societal contexts. Recent work has expanded into pandemic-related relationship dynamics and sophisticated musical ability assessments. His publication record demonstrates consistent contributions to top-tier journals across psychology, with recent work focusing on musical ability assessment, temperament risk factors in child development, and the psychological impacts of the COVID-19 pandemic on relationships. His research shows a clear trajectory from foundational work on emotion and music to increasingly applied studies with practical assessment tools that have real-world implementation across multiple cultural contexts. His research has been featured by BBC ONE, National Public Radio, The Wall Street Journal, and published in premier journals including Nature and PNAS. He is the author of the Handbook of Temperament (Guilford Press), coedited with R. Shiner. His research has been funded by prestigious organizations including the ESRC, the Swiss National Science Foundation, the Jacobs Foundation, and Google. He has served as Editor-in-Chief of Frontiers in Personality and Social Psychology (2014-2019) and has reviewed for numerous top psychology journals and funding bodies including the European Commission and Swiss National Science Foundation.

Anne Piéjusمشاهده پروفایل

پژوهشگر

• Music and early modern press
• Music and theater
• Music and education
• +۱۵ مورد دیگر

Anne Piéjus is a Researcher at the French National Centre for Scientific Research (CNRS) , affiliated with the Institute of Music Research (IReMus) in Paris. A specialist in Early Modern Music , her multidisciplinary work bridges literature, performing arts, history, and intellectual history, with a focus on digital humanities and enriched music editions. Founded the "Mercure galant" program for text-music-image editions Active in scholarly societies and leads the European seminar "Building Relationships in a changing world" Member of the executive committee of the "Concepts et langages" Doctoral School (500 students) Her research spans music-theater intersections , sung poetry , digital music archives , and sacred music in Renaissance Rome . Key projects include critical editions of Racine's works and studies on Jesuit school spectacles. Recent publications highlight 16th-17th century European music , music censorship , and digital resource integration . Awards include dual 2015 honors from the Institut de France, Prix des Muses (2001), and CNRS grants. Thorlet Prize (2015) Alfred Verdaguer Prize (2015) Prime d'Encadrement de Recherche (2016, renewed 2020) Piéjus supervises graduate trainees, curates exhibitions, and contributes to musicological societies. Her work emphasizes digital humanities and interdisciplinary methodologies to connect historical music resources.

Fan Wenfeiمشاهده پروفایل

استاد

• Database systems
• Database theory
• Big data
• +۳ مورد دیگر

Professor Wenfei Fan is a Chair of Web Data Management at the University of Edinburgh since 2006. He holds adjunct roles at Huawei Edinburgh Research Laboratory and the International Research Center on Big Data at Beihang University. His research focuses on database systems, theory, big data, data quality, and constraint applications. He is a Fellow of the ACM and Royal Society of Edinburgh, and recipient of the ERC Advanced Grant (2015). His work includes foundational contributions to XML constraints, data quality management, and graph databases, with over 160 top-tier publications and 8 patents. Education: BSc and MSc from Peking University (1985, 1988); PhD from the University of Pennsylvania (1999). Professional Roles: Editor for TODS, TCS, VLDBJ, and TBD; PC Chair for PODS, CIKM, APWeb, and others. Key awards include the Roger Needham Award (2008), Yangtze River Scholar (2007), and multiple best paper awards at SIGMOD, PODS, VLDB, and ICDE. He has led over 15 grants totaling €6M and advised students who all received top conference awards. His labs and initiatives drive industry collaboration, with deployed solutions at Huawei for big data query optimization.

• General linguistics
• Morphology
• Grammatical typology
• +۷ مورد دیگر

Vladimir Plungian is a distinguished Russian linguist currently serving as Professor and Head of the Department of Theoretical and Applied Linguistics at Moscow State Lomonosov University's Faculty of Philology. He also holds significant leadership positions as Deputy Director of the Vinogradov Institute for Russian Language and Head of the Department of Linguistic Typology at the Institute of Linguistics, all part of the Russian Academy of Sciences. Plungian earned his undergraduate and graduate degrees at Moscow State Lomonosov University and The Institute of Linguistics of the Russian Academy of Sciences. His academic career spans several decades with continuous appointments at Moscow State University since 1989, progressing from Junior Research Fellow to full Professor. His research encompasses a remarkably broad spectrum of linguistic fields including general linguistics, morphology, grammatical typology, corpus linguistics, and poetics. Plungian has conducted extensive fieldwork on diverse language families including Slavic languages, African languages (particularly in Mali), languages of the Caucasus, and Austronesian languages. His work demonstrates a unique intersection between theoretical linguistics and practical language documentation. An analysis of his recent publications reveals a continued focus on grammatical typology, corpus linguistics, and the documentation of lesser-studied languages. His work spans both theoretical explorations of grammatical categories and practical applications in corpus construction, with particular attention to Slavic languages, Pamir languages, and Armenian. The Eastern Armenian National Corpus represents one of his major collaborative achievements. Full member, Russian Academy of Sciences (Department of History and Philology), 2016 "Prosvetitel" Prize (Humanities) for best popular-scientific book publication in Russian, 2011 Corresponding Member, Russian Academy of Sciences (Department of History and Philology), 2009 Plungian has played a significant role in developing major linguistic resources, most notably as one of the creators of both the Russian National Corpus and the Eastern Armenian National Corpus. Since 2016, he has served as editor-in-chief of Voprosy Jazykoznanija, the leading Russian linguistics journal. His international collaborations include work at scientific centers across Europe (Belgium, Germany, Norway, France) and fieldwork in Africa and various regions of the Russian Federation. Plungian leads multiple research teams across different institutions, including the Department for Corpus and Poetic Studies at the Vinogradov Institute for Russian Language, where he has directed research since 2003. His work bridges theoretical linguistics with practical applications in language documentation and corpus construction, creating a unique research environment that connects Slavic linguistics with the study of African and Caucasian languages.

Lumila Paula Menéndezمشاهده پروفایل

پژوهشگر

• Human Evolution
• Biocultural Diversity
• Primate Evolution
• +۵ مورد دیگر

Lumila Paula Menéndez is an Associated Researcher at the Department of Evolutionary Biology within the Faculty of Life Sciences at the University of Vienna. She holds a PhD in Anthropology and Natural Sciences from the National University of La Plata (Argentina) and has conducted postdoctoral research at the University of Tübingen (Germany) and the Konrad Lorenz Institute (Austria). Her work focuses on human evolution, biocultural diversity in the Americas, primate evolution, and theoretical biology. She leads a DFG-funded project examining cranial and ear labyrinth variation in South American human samples to assess evolutionary processes like genetic drift and natural selection. Her interdisciplinary collaborations involve geneticists, biologists, linguists, and archaeologists. Her research interests include morphometric techniques, stable isotope analysis, and virtual anthropology. Notable projects include studying migration patterns leading to the Inka conquest and analyzing craniofacial climatic adaptations across continents. She advocates for inclusive citation practices and open data initiatives in biological anthropology. Recent work includes publications on Holocene human diversity in South America, osteobiographical studies of indigenous remains, and methodological advancements in 3D modeling. She emphasizes integrating genetic, archaeological, and morphological data to address debates about the peopling of the Americas and morphological diversification. Current projects aim to strengthen virtual anthropology's role in quantitative data generation and foster cross-disciplinary dialogue on sustainability and social-ecological systems.

Dominik Kopczynskiمشاهده پروفایل

پژوهشگر

• Lipidomics
• Mass Spectrometry
• Metabolic Pathways
• +۳ مورد دیگر

Dominik Kopczynski is a researcher affiliated with the Department of Analytical Chemistry at the Faculty of Chemistry. His work focuses on lipidomics, mass spectrometry, and the development of bioinformatics tools for lipid structure analysis and experimental standardization. He has contributed to initiatives like the lipidomics reporting checklist and Goslin nomenclature system. Active in organizing academic events such as the de.NBI Spring School for lipidomics bioinformatics and Keystone Symposia on lipid biology, he collaborates extensively with international researchers. Research Interests: Lipid metabolism, mass spectrometry-based analytical methods, lipid nomenclature standardization, proteomics, and computational tools for omics data analysis. His work bridges biochemical experimentation with bioinformatics to enhance reproducibility and interdisciplinary collaboration in lipidomics research. Activities: Organized 36 academic events including conferences, schools, and poster sessions. Notable contributions include co-organizing the 2025 de.NBI Spring School and contributing to the Keystone Symposia on lipid cellular function and disease. Engaged in both presenting research and fostering collaborative research networks. Labs/Teams: Collaborates within the Department of Analytical Chemistry and participates in international lipidomics consortia. His work often involves cross-disciplinary teams focused on integrating biochemical and computational approaches. Grants/Advising: While specific grants are not detailed, his extensive publication record and collaborative activities suggest involvement in funded projects related to lipidomics infrastructure development and analytical method standardization.

Thomas Gärtnerمشاهده پروفایل

استاد

• Machine Learning
• Graph Neural Networks
• Geometric Deep Learning
• +۳ مورد دیگر

Thomas Gärtner is a Professor at the Institute of Logic and Computation within the Faculty of Informatics at Vienna University of Technology, leading the Machine Learning research group (E194-06). His work bridges theoretical machine learning with practical applications in chemistry, biology, and network analysis. His primary research focuses on graph neural networks (GNNs) and geometric deep learning, with significant contributions to GNN expressivity, graph transformations, and kernel methods for structured data. He explores fundamental questions about the limitations of message-passing architectures while developing practical enhancements like path-based extensions and expectation-complete representations. His chemical informatics work applies these techniques to binding affinity prediction, reaction classification, and solvent selection, demonstrating real-world impact in computational chemistry. Analysis of his 15 most recent publications (2023-2025) reveals three dominant research thrusts: theoretical GNN advancements (35% of articles), chemical informatics applications (40%), and novel learning frameworks (25%). The theoretical work increasingly addresses expressivity limitations through graph transformations and path-based approaches, while chemical applications show growing sophistication in molecular representation. Recent publications also indicate expanding interest in foundation models for graphs and robustness verification. He actively supervises master's students including Fabian Traxler (binding affinity prediction), Maximilian Plattner (SGD optimization), Fabian Jogl (graph transformations), and Thomas Schmied (reinforcement learning). His research is conducted through the Network Lab at TU Wien, where he serves as Principal Investigator for the Structured Data Learning with Generalized Similarities project.