جستجوی استاد راهنمای دانشگاهی

Willy Zwaenepoel is a Professor and Dean of the Faculty of Engineering at the University of Sydney. He holds a B.S. from the University of Gent and M.S./Ph.D. from Stanford University. Previously, he served as Dean of the School of Computer and Communication Sciences at EPFL and was a faculty member at Rice University. His expertise spans operating systems, distributed systems, and high-performance computing. Education: B.S., University of Ghent, Belgium (1979) M.S., Stanford University (1980) Ph.D., Stanford University (1984) Research Interests: Dr. Zwaenepoel focuses on distributed systems, operating systems, and their applications in database replication, virtual machine performance, and software update mechanisms. His work includes foundational contributions to distributed shared memory (e.g., Treadmarks) and startups like iMimic Networking. Awards: ACM Fellow (2000) IEEE Fellow (1998) Fellow of the Australian Academy of Technical Sciences and Engineering (2020) Recipient of the IEEE Tsutomu Kanai Award (2007) Key Contributions: His research addresses challenges in distributed systems performance, such as latency reduction in key-value stores and efficient graph processing. Current projects explore I/O optimization in virtualized environments and causal consistency for geo-replicated systems. Students/Advising: Advises Ph.D. students and postdocs, including William in database replication. His mentorship led to the Rice University Teaching Award (2000).

• Operating Systems
• Distributed Systems
• Database Replication
• +۴ مورد دیگر

Hanspeter Wieland is a Researcher at the Institute of Social Ecology within the University of Natural Resources and Life Sciences, Vienna (BOKU). He has been affiliated with BOKU since 2023, following his position at Vienna University for Economics and Business (2013-2022). He holds a Master of Science in Social Ecology from the University of Klagenfurt (completed 2016). His research focuses on environmental economics and resource flows, with expertise in: Material flow analysis and industrial ecology Carbon and environmental footprinting methodologies Global resource inequalities and circular economy transitions Sustainable resource policy and input-output modeling His 21 publications (2016-2025) demonstrate consistent focus on resource flow accounting, with recent work emphasizing: Global material stock dynamics and recycling systems Methodological advances in multi-regional input-output analysis Ecological unequal exchange between Global North/South Policy applications for EU resource efficiency transitions He contributes as peer reviewer for leading journals including Nature Geoscience , Ecological Economics , and Journal of Industrial Ecology . Current research projects include: Resilience and Malleability of Social Metabolism (FWF, 2024-2029) EEA: Investigating material stocks in Europe (2024-2025) Fostering federal climate policies via carbon footprints (FFG, 2024-2026) Developing circular pathways for EU low-carbon transition (EC, 2022-2026)

• Environmental Economics
• Resource Flows
• Circular Economy
• +۵ مورد دیگر

Klaus Richter is an Associate Professor at the Faculty of Chemistry, University of Vienna, affiliated with the Department of Functional Materials and Catalysis. His research spans materials science, catalysis, and thermodynamics. Academic Rank: Associate Professor (ao. Univ.-Prof.) Research Focus: Phase diagrams, intermetallic compounds, vapour-solid synthesis, and catalytic applications for hydrogen production Projects: Notable work on Al-Cu-X (X=Si, Zn) phase diagrams and intermetallic nanoparticle synthesis Richter’s publications emphasize sustainable energy solutions through intermetallic catalysts, with recent studies on Ni-Te and Pt-Zn nanoparticles for green hydrogen production. His work integrates computational modeling (CALPHAD) with experimental phase analysis. Key scientific awards include the APDIC Best Paper Award (2014) and JPED Editors Choice Award (2018). He actively contributes to conferences and collaborative research in intermetallic systems.

• Materials Science
• Phase Diagrams
• Intermetallic Compounds
• +۴ مورد دیگر

Roman Krivko is an Associate Professor at the Department of Slavonic Studies , University of Vienna. His research focuses on Old Church Slavonic , Byzantine hymnography , and historical linguistics of Slavic languages. Specializes in medieval Slavic epigraphy and liturgical text analysis Key contributor to studies on Christian traditions in Slavic contexts Active editor and researcher in international Slavic studies Research Themes include: Quantitative analysis of loanwords in Slavic Gospels Textological studies of service menaia and kontakia Historical development of Old Bulgarian language Linguistic networks in Central/Eastern Europe Scientific Contributions span Editorial work on Slověne journal Notable publications on the Temnić inscription and Samuil's epigraph Collaborations with institutions like Vinogradov Russian Language Institute

• Old Church Slavonic
• Byzantine Hymnography
• Slavic Epigraphy
• +۳ مورد دیگر

Ulrike Sattler is a Professor in the Department of Computer Science at the University of Manchester, where she also serves as Deputy Head of Department and Senior Mentor. Her academic journey includes a PhD from RWTH Aachen University (1998) and a Habilitation from the University of Manchester (2003). She has held roles such as Reader and Senior Lecturer at Manchester, and previously worked as a Senior Researcher at TU Dresden and RWTH Aachen. Her research focuses on logic-based knowledge representation, automated reasoning, and Description Logics, with contributions to OWL ontology languages and standardization. Notable awards include the Friedrich Wilhelm Preis (1999) for her PhD thesis. She has co-supervised over 20 PhD students, including prominent figures like Birte Glimm and Matthew Horridge. Her service contributions include co-chairing conferences (KR 2010, IJCAR 2012), editorial roles in journals like JAR and JAIR, and leadership in the W3C OWL Working Group. She teaches courses on ontology engineering and semantic web technologies, emphasizing practical applications in molecular biology and knowledge graphs.

• Logic
• Automated Reasoning
• Ontology Languages
• +۵ مورد دیگر

Johann Eder is a full professor for Information and Communication Systems at the Department of Informatics Systems, University of Klagenfurt, Austria, and currently serves as Deputy Head of Department. He previously held positions at the Universities of Linz, Hamburg, Vienna, and Klagenfurt, and was Vice President of the Austrian Science Funds (FWF) from 2005-2013. He was also a visiting scholar at AT&T Shannon Labs, NJ. Educational Background: Diplom-Ingenieur, University of Linz Doctor of Technical Sciences, University of Linz Johann Eder's research focuses on databases, information systems, and data management for medical research, including temporal information modeling, process evolution, and workflow systems. His work spans temporal data warehousing, exception handling in workflows, and application interoperability, with a particular emphasis on privacy and quality in medical data lakes and federated biobanks. Recent publications highlight trends in temporal reasoning for business processes, medical data quality, and service composition optimization. His editorial roles include positions at ACM Transactions on Database Systems and IEEE Transactions on Knowledge and Data Engineering . He leads the Information and Communication Systems Research Group at AAU, contributing to projects like federated biobank integration and blockchain-based smart contracts.

• Databases
• Information Systems
• Data Management
• +۹ 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.

• Database Systems
• Artificial Intelligence
• Big Data Analytics
• +۳ 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.

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

• Digital Image Processing
• Digital Video Processing
• Video Compression
• +۷ 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.

• Mathematical Logic
• Concurrent Programming Languages
• Satisfiability Problems
• +۴ 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.

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

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.

• Database systems
• Large scale analytics
• Distributed systems

Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Andreas Rauber is an Associate Professor at TU Wien's Research Department E-Commerce. His work focuses on digital preservation, machine learning, and reproducible research. He leads projects like EOSC-Life (FAIR principles in life sciences) and PLANETS (long-term data access). Key affiliations include the Network Lab and TU Wien's Institute for Software Technology. His research emphasizes data citation frameworks, secure data infrastructure (OSSDIP), and ethical AI practices. He has advised over 20 PhD/Master’s students in areas like adversarial ML and privacy-preserving systems. Notable contributions include DBRepo (semantic databases) and the DBRepo infrastructure for relational data. He collaborates internationally on initiatives like EOSC support offices and cultural heritage projects linking ethnomusicology datasets.

• Digital Preservation
• Machine Learning
• Data Citation
• +۳ 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.

• Human Evolution
• Biocultural Diversity
• Primate Evolution
• +۵ 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.

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