جستجوی استاد راهنمای دانشگاهی

Katja Hose is a Full Professor of Data Management at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. She previously held a Poul Due Jensen Foundation Professorship at Aalborg University. Her research focuses on data and knowledge engineering, including graph databases, knowledge graphs, querying, analytics, and machine learning, with interdisciplinary applications in bioscience, healthcare, and environmental assessment. Education: PhD in Computer Science (Ilmenau University of Technology, 2009), Postdoc at Max Planck Institute for Informatics (2009–2012). Academic roles include Program Co-Chair for ISWC 2024 and EDBT 2023, and editorial board membership at VLDBJ and TGDK. She leads projects like TARGET (health virtual twins) and ARMADA (data management). Research Interests: Knowledge Graphs, Semantic Web, Big Data, Machine Learning, Data Integration, and Provenance Systems. Key contributions include SHACL shape extraction, conversational data analytics, and environmental knowledge graphs. Awards include the 2025 Distinguished Meta-Reviewer Award and 2024 Manfred Paul Award. Advising and Grants: Supervised students including E. Pürmayr (Diploma Thesis 2025). Active in EU projects (TARGET, ARMADA) and grant coordination. Labs/Teams: DMKI Lab at TU Wien, collaborating with interdisciplinary teams in healthcare and environmental science.

• Knowledge Graphs
• Semantic Web
• Data Management
• +۷ مورد دیگر

Wojciech Rytter is a full professor at the Institute of Informatics, Department of Mathematics and Informatics at the University of Warsaw, Poland, holding this position continuously since October 1971. His academic career includes significant international appointments as full professor at New Jersey Institute of Technology (2002-2004), Liverpool University (1997-2002), and Bonn University (1994-1995), and as visiting professor at University of California, Riverside (1992-1993) and University of Warwick (1985-1986). He earned his MSc in 1971, PhD in 1975, habilitation in 1985, and was awarded the scientific degree of professor in 1997, all from Warsaw University. Professor Rytter's research focuses on the design and analysis of computer algorithms, with particular expertise in automata and formal languages, parallel algorithms, and text algorithms. His work spans efficient sequential and parallel algorithms, automata theory, complexity of recognition and parsing of context-free languages, pattern matching, algorithmics of WWW, parallel combinatorial computing, graph-theoretic algorithms, and algorithmics of highly compressible objects. His theoretical contributions have practical applications in computational biology, bioinformatics, and text processing systems. His recent publications (2022-2025) demonstrate continued activity in string algorithms, particularly in pattern matching, string covers, and combinatorics on words, with a strong focus on theoretical computer science with applications in bioinformatics. 200 problems on automata, languages, computations (Cambridge University Press 2023) 125 Problems in Text Algorithms (Cambridge University Press, 2021) Jewels of Stringology (World Scientific, 2002) Fast parallel algorithms for matching problems in graphs (Oxford University Press 1998) Text algorithms (Oxford University Press 1994) Professor Rytter has collaborated extensively with researchers including Jakub Radoszewski, Tomasz Walen, Tomasz Kociumaka, and Maxime Crochemore. He is a member of the Academy of Europe (elected 2011, Informatics section) and has authored or co-authored more than 130 publications. He maintains an active research laboratory focused on string algorithms and combinatorics on words at the University of Warsaw.

• Design and analysis of computer algorithms
• Automata and formal languages
• Parallel algorithms
• +۵ مورد دیگر

Univ.-Prof. Torsten Möller, PhD is a Professor at the University of Vienna and serves as Head of the Research Group Visualization and Data Analysis and Head of the Research Network Data Science. His work spans data visualization, visual analytics, and human-computer interaction, with a focus on biomedical, environmental, and societal data applications. Academic rank: Professor Research group: Visualization and Data Analysis Network: Data Science Email: torsten.moeller@univie.ac.at Research interests include: Visual data analysis for complex systems Interdisciplinary applications in climate science and medicine Human-computer interaction in data exploration Image processing and computer graphics Recent publication trends show expertise in: Visualizing climate change and pandemic data Multi-volumetric and network analysis Algorithmic transparency and user-centered design Interdisciplinary collaborations (e.g., astrophysics, medical imaging) Statistical and uncertainty visualization Design frameworks for visualization recommendation Teaching includes courses in: Computer graphics and visualization Image processing and analysis Human-computer interaction Data analysis projects Doctoral research seminars

• Data Visualization
• Visual Data Analysis
• Data Science
• +۳ مورد دیگر

Arthur Lesk is a Professor of Biochemistry and Molecular Biology at Pennsylvania State University since 2003. Previously, he held roles including faculty member at the clinical school of the University of Cambridge (1990–2003), group leader at the European Molecular Biology Laboratory (1987–1990), and professor of chemistry at Fairleigh Dickinson University (1971–1987). He earned a B.A. from Harvard University (1961), Ph.D. from Princeton University (1966), and M.Sc. from the University of Cambridge (1999). His research focuses on bioinformatics, genomics, protein structure, and molecular biology. He has authored 189 scientific articles, 10 books, and has an h-index of 61. Notable works include Protein Science (2021) and Introduction to Bioinformatics (2019). Lesk chairs CODATA’s Biological Macromolecules Task Group and is a Fellow of the AAAS and Royal Society of Biology. He maintains active teaching and research roles, delivering lectures globally. His contributions include advancing protein structure databases and computational methods for molecular biology. Lesk is a Life Member of Clare Hall, Cambridge, and has held visiting positions at universities in New Zealand, Australia, and Europe.

• Bioinformatics
• Genomics
• Protein Structure
• +۳ مورد دیگر

Janusz Bujnicki is a Professor and head of the Laboratory of Bioinformatics and Protein Engineering at the International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Poland. He holds concurrent roles in science policy advisory bodies, including the European Commission's Group of Chief Scientific Advisors (2015-2020, then expert) and the Polish Academy of Sciences’ advisory panel (2024-). He is also a founding member of the Association of ERC Grantees (AERG) and serves on the Scientific Advisory Board of Life Science Center at Vilnius University. Academia Europaea Member (2018-) EMBO Member (2018-) Leadership Academy for Poland (2018) His research spans structural biology, RNA modification, computational biology, and molecular evolution. He has pioneered computational methods like ModeRNA, SimRNA, and ClaRNA for RNA structure prediction and analysis, and developed databases like MODOMICS for RNA modification pathways. His work has applications in understanding RNA function and drug design targeting RNA-processing enzymes. The 15 most recent publications focus on RNA structural modeling (e.g., ModeRNA, ClaRNA, SupeRNAlign), RNA-ligand interactions (LigandRNA), and RNA modification biology (MODOMICS database). These works bridge computational methods with experimental validation in RNA enzymology and structure-function relationships. Scientific Awards: ERC Starting Grant (2010), EMBO Member (2018), Crystal Brussels Sprout (2016), Prime Minister’s Award (2014), Knight’s Cross of Polonia Restituta (2014) Grants & Leadership: Founded RNA bioinformatics infrastructure at IIMCB, led EU science policy advisory groups, and organized international research competitions (RNA Puzzles)

• Structural Biology
• Bioinformatics
• Computational Biology
• +۴ مورد دیگر

Gheorghe Paun is a Senior Researcher at the Institute of Mathematics of the Romanian Academy (1994–present) and a Visiting Researcher at the University of Sevilla (2009–present). He earned his Ph.D. in Mathematics from the University of Bucharest (1977), supervised by Solomon Marcus. His research spans Automata and Language Theory (descriptional complexity, regulated rewriting), Natural Computing (DNA computing, membrane computing), and he is the initiator of membrane computing . Education : M.Sc. in Mathematics (1974), University of Bucharest (specialization: computer science) Ph.D. in Mathematics (1977), University of Bucharest His work includes foundational contributions to DNA computing (book DNA Computing. New Computing Paradigms , 1998) and membrane computing (book Membrane Computing. An Introduction , 2002). He has collaborated with over 100 researchers globally and advised multiple Ph.D. students, including Victor Mitrana and Gianina Georgescu. His scientific awards include the Gheorghe Lazar award (1981), Corresponding Member of the Romanian Academy (1997), Doctor Honoris Causa from Silesian University of Opava (2007), and recognition as an ISI Highly Cited Scientist (2007). He also holds honorary citizenships in Curtea de Arges (1998), Arges County (2007), and Cicanesti village (2009). Paun has served on editorial boards for journals like Theoretical Computer Science. Natural Computing Series and Natural Computing , and organized major workshops in membrane computing. His academic contributions include over 150 publications and editorial roles in 20+ journals.

• Automata and Language Theory
• Natural Computing
• DNA Computing
• +۳ مورد دیگر

Professor John Eu-Li Wong serves as Senior Vice President (Health Innovation & Translation) at the National University of Singapore (NUS) and Senior Advisor to the National University Health System (NUHS). Previously, he held pivotal roles including Dean of NUS's Yong Loo Lin School of Medicine (2003-2011), Senior Vice President (Health Affairs), and Director of the National University Cancer Institute. His leadership has been instrumental in developing Singapore's Health and Biomedical Sciences initiative through strategic international partnerships. His educational background includes an MBBS from NUS, residency and fellowship at New York Hospital-Cornell Medical Center (where he served as Chief Resident in Medicine), and specialized training at Memorial Sloan-Kettering Cancer Center. He maintains active clinical expertise as a medical oncologist-haematologist. Professor Wong's research spans comprehensive cancer centers , healthy longevity initiatives , and value-based healthcare systems . His work focuses on translating biomedical research into national health strategies, with particular emphasis on global health security , academic health system integration , and cancer clinical trials infrastructure . He champions multinational collaborations to address transnational health challenges through frameworks like the Cancer Therapeutics Research Group. His scholarly output demonstrates consistent leadership in global health policy and translational medicine , with recent publications addressing pandemic response systems (2020), genomic medicine implementation (2015), and sustainable healthcare models (2021-2022). The work reveals a strategic shift toward healthy longevity roadmaps and value-based healthcare ecosystems while maintaining foundational focus on cancer therapeutics. International Member, US National Academy of Medicine (2019) Doctor Philosophiae Honoris Causa, Hebrew University of Jerusalem (2019) President’s Science & Technology Medal, Singapore (2014) Public Administration Medal (Gold), Singapore National Day Awards (2016) Fellow of Royal Colleges of Physicians (London, Edinburgh) and American College of Physicians Professor Wong co-founded the multinational Cancer Therapeutics Research Group (nine institutions) and serves on editorial boards for JAMA and American Journal of Medicine. His grant leadership includes directing Singapore's National University Cancer Institute and spearheading the Global Genomic Medicine Collaborative. Current initiatives focus on the National Academy of Medicine's Healthy Longevity Roadmap and Qatar's Academic Medicine Advisory Board. He established the Cancer Therapeutics Research Group and maintains strategic partnerships with Karolinska Institute, University of Cambridge, Harvard, and Stanford. His leadership extends to the M8 Alliance of Academic Health Centers (past World Health Summit President) and Global Genomic Medicine Collaborative Steering Committee, driving transnational research infrastructure.

• Comprehensive cancer centres
• Healthy longevity
• National health and biomedical sciences research strategy
• +۴ مورد دیگر

Shaul Pollak is an Assistant Professor at the Division of Microbial Ecology within the Centre for Microbiology and Environmental Systems Science at the University of Vienna. His research focuses on bacterial interactions in ecosystems, particularly their roles in plant pathogen protection and carbon cycling across soil and marine environments. He leads a research group investigating how microbial processes scale from genetic mechanisms to planetary biogeochemical cycles. His primary research interests include microbial community assembly, bacterial metabolism of complex biopolymers, and evolutionary genomics of marine cyanobacteria. Current projects leverage genomic dark matter to predict soil carbon fluxes, examine plant-bacteria interactions under environmental change, and explore the diversity of Prochlorococcus marinus. His interdisciplinary approach integrates genomics, high-throughput experiments, and machine learning to bridge ecological and evolutionary theory. Analysis of his 2022-2025 publications reveals consistent themes in microbial community dynamics, with emphasis on polysaccharide degradation mechanisms, phage-bacteria interactions, and genomic predictors of bacterial metabolic functions. His work demonstrates how bacterial trade-offs and cross-feeding structures shape ecosystem processes from ocean biogeochemistry to human gut microbiome organization. Dr. Pollak actively recruits PhD students and postdoctoral researchers through university stipend programs, with current group members including Thomas Gaehtgens, Gerhard Gruber, Jyothsna Pujar, Qi Qi, Lior Shachar, Marco Sing, and Joana Valèrio. His laboratory maintains active collaborations across soil and marine microbial ecology projects, with research infrastructure supported by University of Vienna resources and external funding.

• Microbial Ecology
• Bacterial Interactions
• Carbon Cycling
• +۳ مورد دیگر

Nikolaus (Nik) Fortelny is a Group Leader in Computational Biology at the University of Salzburg, Austria, where he leads the Computational Systems Biology research group within the Department of Biological Sciences & Medical Biology. His research focuses on understanding biological systems at the molecular level through advanced computational approaches. Dr. Fortelny's research interests include: Computational Systems Biology Multi-omics data integration and analysis Single-cell and spatial biology Machine learning applications in biology Network science approaches to biological regulation Immune system modeling His recent publications demonstrate a strong focus on applying computational approaches to understand complex biological systems, particularly in immunology and cellular regulation. His work often involves collaboration with experimental biologists to generate and analyze large-scale datasets from multi-omics experiments collected at single-cell or spatial resolution. Dr. Fortelny is actively involved in research recruitment and is currently hiring for professor positions in Medical Systems Biology and Animal Physiology at the University of Salzburg, with an application deadline of April 19th, 2025. His group regularly seeks students, PhD candidates, postdocs, and staff scientists to join their team.

• Computational Systems Biology
• Multi-omics Data Analysis
• Single-cell Sequencing
• +۵ مورد دیگر

Tamara Drucks is a PreDoc Researcher at the Department of Machine Learning, Technische Universität Wien. She specializes in machine learning, with a focus on graph neural networks, bioinformatics, and optimization algorithms. Drucks teaches courses including 'Introduction to Machine Learning' and 'Theoretical Foundations and Research Topics in Machine Learning.' Her research explores expressive power of graph networks and applications in phylogenetic modeling. Key projects include the StruDL initiative (2023–2027) focusing on maximally expressive GNNs for outerplanar graphs. She has advised one PhD student, Martin Plattner, on optimization techniques in machine learning. Publications span theoretical advancements in GNNs and practical applications in computational biology. Drucks holds a Diploma in Technical Mathematics from TU Wien (2021) and is involved in interdisciplinary research at the intersection of AI and biological data analysis.

• Machine Learning
• Graph Neural Networks
• Bioinformatics
• +۳ مورد دیگر

Harold Snieder is a Professor of Genetic Epidemiology at the University Medical Center Groningen (UMCG), The Netherlands, leading the Unit of Genetic Epidemiology and Bioinformatics. Previously, he held roles including Visiting Professor at the Estonian Genome Center (2012–2015) and Full Professor of Pediatrics at the Medical College of Georgia (2005–2006). He earned his MSc from the Vrije Universiteit Amsterdam and PhD from the same institution, with postdoctoral work in London and Augusta. His research focuses on genetic and epigenetic factors influencing cardiovascular diseases, diabetes, kidney function, and mental health, employing twin studies and large cohort analyses. Key achievements include landmark studies on epigenetic markers in type 2 diabetes, genetic contributions to rheumatoid arthritis, and heritability of menopause age. His work has been funded by NIH, EU, and others, yielding over 350 peer-reviewed articles. Awards include the David Fulker Award (2002) and recognition for student mentorship, such as the Allianz European Demography Award (2017) for Felix Tropf’s thesis. Research trends emphasize epigenetic epidemiology, twin studies, and genetic-environmental interactions. His lab, the Unit of Genetic Epidemiology and Bioinformatics, drives interdisciplinary projects in public health and translational sciences. Ongoing efforts explore cardiometabolic diseases, renal biomarkers, and the genetic basis of blood pressure variability.

• Genetic Epidemiology
• Cardiovascular Disease
• Type 2 Diabetes
• +۷ مورد دیگر

Professor Thierry Langer is a Full Professor of Pharmaceutical Chemistry at the University of Vienna’s Faculty of Life Sciences (Department of Pharmaceutical Sciences). He leads research in computational drug design, with a focus on pharmacophore modeling, 3D-QSAR analysis, and AI-driven molecular design. His work bridges theoretical and experimental chemistry, addressing targets like viral proteases (e.g., SARS-CoV-2), GABA receptors, and dopamine transporters. Research interests include: Pharmacophore-guided drug discovery for anti-viral and CNS therapies Development of next-generation computational tools (e.g., PharmacoMatch, QPhAR) Protein-ligand interaction modeling using neural networks and graph-based algorithms Recent studies focus on: Inhibitors for herpesvirus nuclear egress complexes, AI-optimized antivirals, and dopamine transporter inhibitors for cognitive enhancement. His lab collaborates on projects like the NeuroDeRisk initiative to de-risk neurotoxic compounds. Publications emphasize drug repurposing, metabolic pathway analysis, and scalable synthesis methods for promising drug candidates.

• Computer-Aided Molecular Design
• Pharmacophore Modeling
• Drug Discovery
• +۷ مورد دیگر

Robert Ahrends is a Professor at the Faculty of Chemistry , affiliated with the Institute of Analytical Chemistry . His research bridges Lipid Biochemistry , Mass Spectrometry , and Lipid Metabolism , with a focus on thromboinflammation, platelet biology, and Drosophila models. Recent projects include Lipid communication in thromboinflammation (2024–2027) and Lipidomic analysis in EPA medication (2020–2023). He has published extensively on lipid signaling, proteomic-lipidomic interactions, and methodological advancements in mass spectrometry. Key publications (2024–2025) highlight work on platelet-derived lipid mediators , synaptic lipid metabolism , and ceramide standardization . Collaborations span international institutions, addressing lipidomics standardization and cardiovascular diseases.

• Lipid Biochemistry
• Mass Spectrometry
• Lipid Metabolism
• +۳ مورد دیگر

Ivan Viola is an Associate Professor at the Institute of Computer Graphics and Algorithms, part of the Faculty of Informatics at TU Wien, Austria. He holds a leave of absence until December 2024 while also being affiliated with King Abdullah University of Science and Technology (KAUST) as an Associate Professor funded by the Vienna Research Groups program. His research focuses on visualization techniques in medicine, biological sciences, and earth sciences, with a specialty in illustrative visualization and DNA-nanotechnology applications. Viola has contributed over 100 scientific works and serves as a reviewer and panelist for major conferences in computer graphics and visualization. Education: M.Sc. (2002) and Ph.D. (2005) in Computer Graphics from TU Wien. Postdoctoral research at the University of Bergen (2006-2011), where he became Full Professor before returning to TU Wien. Research Interests: Whole-cell visualization Molecular modeling Interactive 3D environments Biomedical visualization Data-driven colormap techniques Awards: IEEE VIS 2017 Best Paper Honorable Mention, 'Best Overall Concept' for CellView, and multiple visualization awards. Active in EuroVis and IEEE VIS organizing roles. Grants & Supervision: Leads the Visualization Group at TU Wien, supervising student projects and master’s theses. Involved in grants like the Vienna Research Groups program. Labs/Teams: Visualization Group at TU Wien, collaborating on projects like CellView and Molecumentary.

• Visualization
• Computer Graphics
• Biological Visualization
• +۳ مورد دیگر

Peer Bork is a Professor at the European Molecular Biology Laboratory (EMBL) in Heidelberg, where he serves as Strategic Head of Bioinformatics and co-head of the Structural and Computational Biology Unit. He also holds honorary professorships at the University of Würzburg (Germany) and Fudan University (China). Educational background: PhD in Biochemistry (1990) Habilitation in Theoretical Biophysics (1995) Research interests span bioinformatics , systems biology , and microbiome analysis , focusing on functional prediction, comparative genomics, and data integration. His work explores global patterns in microbial communities, including enterotypes, drug-microbiome interactions, and planetary-scale gene fluxes. Scientific impact includes over 550 publications (70+ in Nature , Science , and Cell ) and groundbreaking discoveries like the human gut enterotypes and microbiome-based cancer biomarkers . Key projects include the SPIRE microbiome resource and the TARA Oceans expedition . Honors and leadership: EMBO member (2000) Nature Creative Mentoring Award (2008) ERC Advanced Investigator Grants (2011, 2015) Leopoldina member (2014) Honorary doctorate (University of Utrecht, 2017) Co-founder of 5 biotech companies Collaborative networks include partnerships with institutions in Berlin (Max-Delbrück-Center), Würzburg (Germany), and Shanghai (China), as well as global initiatives like the TREC expedition for environmental microbiome analysis.

• Bioinformatics
• Computational Biology
• Systems Biology
• +۳ مورد دیگر