جستجوی استاد راهنمای دانشگاهی

• Database systems
• Large scale analytics
• Distributed systems
• +۳ مورد دیگر

Beng Chin Ooi is a Lee Kong Chian Centennial Professor at the National University of Singapore (NUS), School of Computing (SoC). He holds a B.Sc. (1st Class Honors) and Ph.D. in Computer Science from Monash University. His research focuses on database systems, large-scale analytics, and distributed computing. He has held leadership roles including Dean of School of Computing (2007–2013) and Director of Smart Systems Institute (2011–2021). Key achievements include the Singapore President’s Science Award (2011), ACM Fellow (2011), IEEE Fellow (2009), and multiple best paper awards. His work emphasizes scalable data management, blockchain systems, and healthcare data analytics. Education: Monash University (B.Sc., Ph.D.) Leadership: Dean (SoC), Director (Smart Systems Institute) Awards: Over 15 major honors including ACM SIGMOD E.F. Codd Innovations Award (2020) His research spans distributed databases, big data systems, and innovative applications of blockchain technology. Recent work includes NASI (neural architecture search) and Rafiki (ML-as-a-service).

Katja Hoseمشاهده پروفایل

استاد

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

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.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Professor Thomas Lukasiewicz is a Full Professor and Head of the Artificial Intelligence Techniques research group at the Faculty of Informatics, Vienna University of Technology (TU Wien). His research focuses on enabling machines to mimic human-like intelligence through techniques spanning deep learning, symbolic reasoning, and predictive coding. Key areas include explainable AI, hybrid neurosymbolic systems, and applications in healthcare and law. He teaches courses such as Deep Learning for Natural Language Processing, Scientific Research and Writing, and multiple seminars in artificial intelligence and knowledge representation. His research projects include Explainable AI in Healthcare (2023–2027) and foundational work on predictive coding networks. His publications (15+ recent articles) address medical image segmentation, neurosymbolic frameworks, and language model evaluation in mathematics. Notable work includes neurosymbolic hybrid models (CCN⁺), reinforcement learning for medical report generation, and theoretical foundations of predictive coding networks.

Zhao Guoyingمشاهده پروفایل

دانشگاهی

• Human Behavior Understanding
• Machine Learning
• Emotion AI
• +۵ مورد دیگر

Zhao Guoying is an Academy Professor at the Academy of Finland and holds a tenured Full Professorship at the University of Oulu, Finland. His research focuses on human behavior understanding, emotion AI, and computer vision. He has held visiting positions at institutions including Stanford University and Aalto University. He earned his PhD (2005) in Computer Science from the Chinese Academy of Sciences. His work has led to pioneering contributions in facial expression analysis, micro-expression recognition, and remote physiological signal measurement. Zhao has secured over €19.8 million in research grants as PI, including the prestigious Academy Professor Grant (2021-2026) and Profi-7 Hybrid Intelligence funding. He has supervised 22+ PhD students and 16+ postdocs, many of whom hold academic and industry leadership roles. His awards include IEEE Fellow (2022), IAPR Fellow (2020), and Finland’s Most Publishing AI Researcher (2017). His research interests span machine learning, affective computing, and feature representation. Notable contributions include the first systems for spontaneous micro-expression analysis, novel methods for face anti-spoofing, and remote health monitoring via video. He actively organizes conferences (e.g., Arctic AI Days) and chairs committees such as the Finnish AI Society board.

• Temporal aspects in NLP/IR
• Digital Humanities
• Large Language Models
• +۵ مورد دیگر

Adam Jatowt is a Professor and Head of the Data Science group at the Department of Computer Science, University of Innsbruck. He also serves as Deputy Head of the Digital Science Center and Research Center for Digital Humanities. His academic career spans roles at Kyoto University (2010-2020), National Institute of Advanced Industrial Science and Technology (AIST), and visiting positions at Karlsruhe Institute of Technology, University of La Rochelle, and University of California Berkeley. Research interests focus on temporal aspects of NLP/IR, computational history, large language models, and future forecasting. He leads projects combining digital humanities with advanced AI techniques, including temporal validity assessment and hint generation systems. Recent publications (2025) emphasize LLM applications in temporal analysis, QA systems, and energy sector digitalization. His work has been recognized through awards like the Friedrich Wilhelm Bessel Research Award (2024) and top-cited paper distinction in Information Sciences. He actively organizes conferences like ECIR 2026 and Text2Story workshops. Key contributions include developing WikiHint dataset, PlausibleQA framework, and tools like Rankify. His research also addresses societal challenges through ESG rating prediction and medical LLM applications.

Thierry Langerمشاهده پروفایل

استاد

• Computer-Aided Molecular Design
• Pharmacophore Modeling
• Drug Discovery
• +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.

Ivan Violaمشاهده پروفایل

دانشیار

• Visualization
• Computer Graphics
• Biological Visualization
• +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.

Christiane Woopenمشاهده پروفایل

استاد

• Ethics and Theory of Medicine
• Neuroethics
• Reproductive Medicine
• +۵ مورد دیگر

Christiane Woopen is a Professor for Ethics and Theory of Medicine at the University of Cologne , where she serves as Executive Director of the Cologne Center for Ethics, Rights, Economics, and Social Sciences of Health (ceres) . Her leadership extends to roles such as Head of the Research Unit Ethics and former Vice-Dean for Academic Development and Gender at the Medical Faculty, University Hospital Cologne. Educational Background: Medical degree from the University of Bonn, followed by specialization in gynecology and obstetrics before transitioning to bioethics. Her research focuses on ethical dimensions of reproductive medicine, neuroethics, personalized medicine, genome editing, and health in the digital age . She leads international projects addressing aging, health literacy, and AI governance. Recent publications emphasize genome editing policy, AI in healthcare, and ethical challenges of deep brain stimulation , reflecting her interdisciplinary approach to bioethics. Scientific Awards: Federal Cross of Merit 1st Class (2018) Member, European Academy of Sciences and Arts (2014) She has held advisory roles in national and international ethics bodies, including the European Group on Ethics in Science and New Technologies and UNESCO's International Bioethics Committee. Her leadership in ceres involves fostering research on aging, health literacy, and digital transformation, with a commitment to public engagement and interdisciplinary collaboration.

Walter Struhalمشاهده پروفایل

دانشیار

• Neurology
• Autonomic Nervous System
• Alzheimer's Dementia
• +۴ مورد دیگر

Prim. Assoc. Prof. PD Dr. Walter Struhal MSc FEAN serves as Head of the Clinical Department of Neurology at University Hospital Tulln since 2017 and holds a shared leadership role at the University Clinic for Neurology (Karl Landsteiner Private University of Health Sciences) since 2019. His career bridges clinical neurology and translational research in autonomic nervous system disorders. Research Focus : Struhal specializes in autonomic dysfunction, particularly its role in Alzheimer's dementia, post-COVID-19 neurological sequelae, and neurodegenerative diseases like multiple system atrophy. His work emphasizes modern diagnostic tools such as wearable ECGs and power modulation spectrum algorithms for signal quality control. Recent collaborations include developing the NEUROGED Guidelines for neurogenic urinary/sexual symptoms and mapping autonomic education gaps in European neurology training. Scientific Contributions : As a Fellow of the European Academy of Neurology (FEAN) , he co-led international studies on ECG quality indices (PDQI/MSQI) and participated in the AFFRICATE Project analyzing autonomic impacts of cerebral vascular interventions. His 15 most recent publications (2020-2025) span stroke care economics, dysphagia management, and autonomic testing innovations, reflecting his commitment to clinical-neurological research infrastructure development. Scientific Awards : Metric-based scholarship for Austro-Mir space research Fellow of the European Academy of Neurology (FEAN)

Hojjat Adeliمشاهده پروفایل

استاد

• Structural engineering
• Computational neuroscience
• Civil engineering
• +۷ مورد دیگر

Hojjat Adeli is an Academy Professor at The Ohio State University (OSU) with courtesy appointments in the Departments of Neurology, Neuroscience, and Biomedical Informatics. He has held the Abba G. Lichtenstein Professorship in Infrastructure Engineering (2003-2013) and served as Editor-in-Chief of Computer-Aided Civil and Infrastructure Engineering for 25 years. Academy Professor, OSU (2018–present) Professor of Neurology, Neuroscience, and Biomedical Informatics (by courtesy, since 2015-2002) His research interests span interdisciplinary domains at the intersection of engineering and neuroscience, focusing on: Computational neuroscience and neurocomputing Biomedical signal processing (particularly EEG-based diagnostics) Machine learning and computational intelligence applications Smart infrastructure systems and structural engineering Optimization algorithms in civil and biomedical contexts His research trends demonstrate a synergy between: Neural network development for medical diagnostics Wavelet and chaos theory in epilepsy detection Computational intelligence for structural engineering Hybrid models integrating fuzzy logic and genetic algorithms Scientific awards and honors include: Multiple IEEE Fellowships and AAAS Fellow Thomson Reuters Highly Cited Researcher in Engineering and Computer Science Hojjat Adeli Awards for Neural Systems and Innovation in Computing Elections to international academies in Poland, Lithuania, and Spain Scott Award for Engineering Education and Distinguished Member ASCE

Constantine Stephanidisمشاهده پروفایل

استاد

• Human Computer Interaction
• Universal Access
• Design for All
• +۵ مورد دیگر

Constantine Stephanidis is a Professor at the Department of Computer Science, University of Crete, and Director of the Institute of Computer Science at the Foundation for Research and Technology - Hellas (FORTH). He also serves as Head of the Human-Computer Interaction Laboratory, Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme of ICS-FORTH. Additionally, he is faculty of the Interdepartmental Graduate Programme in the BRAIN and MIND sciences of the University of Crete, and President of the Board of Directors of the Science and Technology Park of Crete. His research focuses on Human-Computer Interaction, Universal Access, and Assistive Technologies. Dr. Stephanidis introduced the concept and principles of Design for All in Human-Computer Interaction in the early 1990s. His work spans multiple areas including ambient intelligence environments, universally accessible game design, and health telematics. He has pioneered approaches to making technology accessible to diverse user populations, with particular attention to context-aware and adaptive interfaces that accommodate varying user needs and abilities. Prof. Stephanidis has published over 350 technical papers and edited several influential books including "The Universal Access Handbook" (2009) and "User Interfaces for All" (2001). His publication record shows a consistent focus on making technology accessible to all users, with recent work emphasizing ambient intelligence environments, universally accessible gaming, and health telematics applications. His research demonstrates a progression from foundational work on universal access principles to more specialized applications in various domains. ERCIM WG Award (2000) ERCIM Information and Communication Science and Technology Award (ICST 1999) Over the past 25 years, Prof. Stephanidis has served as Scientific Responsible for more than 40 European Commission and nationally funded projects. He has held leadership roles in numerous academic and policy initiatives, including serving as Editor-in-Chief of the Springer journal "Universal Access in the Information Society," Founding Chair of the ERCIM Working Group "User Interfaces for All," and General Chair of the International Conference 'Universal Access in Human-Computer Interaction.' He has also been actively involved in European Commission R&D Policy on Information Society, serving on various committees including the FP6 Information Society Technologies Management Committee and the eAccessibility Expert Group. He founded and leads the Human-Computer Interaction Laboratory, the Centre for Universal Access and Assistive Technologies, and the Ambient Intelligence Programme at ICS-FORTH. These research units form an integrated ecosystem focused on developing inclusive technologies that adapt to diverse user needs and contexts. His teams have been instrumental in shaping European research agendas in universal access and accessibility.

Triantis Kostasمشاهده پروفایل

دانشیار

• Ecology
• Biogeography
• Conservation Biology
• +۶ مورد دیگر

Kostas Triantis is an Associate Professor of Biodiversity of Ecosystems at the Department of Ecology and Taxonomy, Faculty of Biology, National and Kapodistrian University of Athens. He holds a PhD from the University of Crete and has held post-doctoral positions at institutions including Oxford University and the University of Azores. His research focuses on island biogeography, macroecology, conservation biology, and the biogeography of Aegean invertebrates. He has served as a Visiting Professor at the University of Bayreuth and held roles in Greece’s Ministry of Environment. Triantis is a leading expert in land snail biodiversity and has contributed to over 70 peer-reviewed articles. Awards include Marie Curie Fellowship and editorial roles in journals like Journal of Biogeography . His work addresses species-area relationships, island ecosystems, and conservation strategies for endangered species. Current projects include understanding biodiversity patterns in the Aegean under the Anthropocene and global avian extinction dynamics. Education: PhD and MSc in Biology, University of Crete Post-doctoral fellowships at Oxford, Azores, and Patras Research Interests: Island biogeography, conservation biology, macroecology, ecological modeling, Aegean biodiversity His articles explore topics like ant biodiversity on Aegean islands, global avian functional diversity loss, and extinction debt on oceanic islands. Triantis collaborates internationally on projects such as the European Red List of terrestrial molluscs and biodiversity databases like MEDIS. He actively contributes to conservation policy through IUCN Red Listing assessments for over 200 Greek land snail species. Grants & Projects: Principal Investigator: 'Understanding the Anthropocene: the case of the Aegean Islands' (Hellenic Foundation for Research and Innovation, 2020–2023) Co-PI: 'Biodiversity on Oceanic Islands' (Portugal’s FCT, 2012–2015) Triantis leads the University of Athens’ Ecology and Taxonomy Department’s research on island ecosystems, emphasizing the interplay between ecological theory and conservation practice. His lab focuses on integrating spatial data and evolutionary dynamics to address biodiversity challenges.

• Hepatobiliary surgery
• Cancer therapy
• Magnetic surgery
• +۴ مورد دیگر

Professor Yi Lyu is a faculty member at the Department of Hepatobiliary Surgery, College of Medicine, Xi’an Jiaotong University, with extensive leadership roles including Vice President of the university and Director of the First Affiliated Hospital. His research bridges hepatobiliary surgery, magnetic surgery, and biomedical engineering, focusing on innovative surgical devices and transplantation immunity. Bachelor's, Master’s, and Doctorate in Clinical Medicine and General Surgery from Xi’an Medical College Postdoctoral training in Surgery at Nippon Medical School Hospital, Tokyo His research interests span hepatobiliary surgery, magnetic surgery applications, cancer therapy, transplantation immunity, and biomedical engineering. Recent work emphasizes magnetic devices for vascular reconstruction during liver transplantation and immunomodulation via nanotherapeutics. Article trends reflect a strong focus on magnetic surgical technologies (6/15), cancer-related applications (4/15), and immune/gut microbiome interactions (3/15). High-impact publications (IF >15) include work on nanotherapeutics for muscle regeneration and catalytic systems in alkaline seawater. 2023 : Editor-in-Chief of Magnetic Medicine , National Key R&D Program grant (￥12M) 2022 : National Teaching Achievement Award, Annals of Surgery publications 2018 : Chinese Medical and Technology Award, NSFC Project grant 2015 : Ministry of Education Technology Invention Award

Ahmet Tekalpمشاهده پروفایل

استاد

• Digital Image Processing
• Video Compression
• Motion-Compensated Video Filtering
• +۵ مورد دیگر

Ahmet Tekalp is a Professor in the Department of Electrical and Computer Engineering at Koc University's College of Engineering since 2001. He holds dual citizenship in Turkey and the USA, with prior academic roles at the University of Rochester (1986-2005) and research positions at Eastman Kodak (1984-1987) and Rensselaer Polytechnic Institute (1981-1984). He chairs the Electronics and Informatics Group at TUBITAK since 2004 as a part-time position. B.S. (1980) in Electrical Engineering & Mathematics, Bogaziçi University M.S. (1982) and Ph.D. (1984) in Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute His research focuses on digital image and video processing, including video compression, motion-compensated filtering for high-resolution applications, video segmentation, object tracking, content-based video analysis, multi-camera surveillance processing, and digital content protection. He has led numerous European and U.S. grants, including FP7 STREP projects and NSF awards, emphasizing applications in sensor networks, visual databases, and medical imaging. His scholarly work spans diverse areas such as superresolution reconstruction, head gesture animation, 3DTV streaming, and reversible data hiding. He has played pivotal roles in editorial boards, including serving as Editor-in-Chief of Signal Processing: Image Communication, and has contributed to major standards bodies like ISO MPEG and ANSI NCITS. Member, Turkish Academy of Sciences (TUBA) Fellow, IEEE Fulbright Senior Scholarship (1999) TUBITAK Science Award (2004) IEEE Signal Processing Society Distinguished Lecturer (1998) He has led multiple international research collaborations and projects, including European FP6/FP7 networks and NATO programs, with substantial grant funding from NSF, NYSTAR, and industry partners like Eastman Kodak, Xerox, and Siemens.

• Medical Informatics
• Clinical Practice Guidelines
• Computerized Healthcare Systems
• +۳ مورد دیگر

Katharina Kaiser is affiliated with TU Wien's Fachbereich Software Services. She specializes in medical informatics with a focus on computerized clinical guidelines and healthcare system optimization. Her work bridges temporal data analysis, information extraction from clinical texts, and workflow modeling in medical contexts. Key areas: Clinical decision support systems, guideline implementation frameworks, temporal logic in healthcare processes Notable contributions: Development of TimeML-based clinical guideline modeling, heuristic methods for condition-action sentence identification Her research emphasizes semantic enrichment of medical documents and interactive visualization tools for therapy planning and patient data correlation. Collaborations include the PROTOCOL project and ReMINE deliverables in adverse risk management.