جست‌وجوی استاد و پژوهشگر

Peer Borkمشاهده پروفایل

استاد

• Bioinformatics
• Computational Biology
• Systems Biology
• +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.

• Artificial Intelligence
• Computer Vision
• Natural Language Processing
• +۴ مورد دیگر

Armin Kirchknopf serves as a Junior Researcher at the Media Computing Research Group within the Institute of Creative Media/Technologies, Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. His interdisciplinary work bridges artificial intelligence, computer vision, and social media analysis, with significant contributions to misinformation detection and disaster response systems. Based at Campus-Platz 1 in St. Pölten, Austria, he actively collaborates on EU-funded projects and publishes in top-tier AI venues. His educational journey spans humanities and technology: a Bachelor of Arts in Egyptology and Master of Arts in Classical Archaeology from the University of Vienna (including fieldwork at excavation sites across Austria, Germany, and Egypt), followed by a Bachelor of Science in Media Technology from FH St. Pölten. This unique background informs his human-centered AI research approach. Kirchknopf's research centers on explainable multimodal AI systems for real-world challenges. His recent work demonstrates expertise in transformer-based architectures for cross-lingual fake news detection, sexism identification, and flood monitoring through social media imagery. He pioneers techniques like Grad-CAM for object detection explainability and develops visualization tools for complex data interpretation, emphasizing transparency and social impact in AI deployment. Analysis of his 13 publications (2017-2022) reveals a strategic shift toward applied AI in societal contexts , particularly using social media data for disaster management and combating online toxicity. His projects consistently integrate computer vision with natural language processing, showing increasing sophistication in multilingual capabilities and model interpretability frameworks. His scientific recognition includes: Creative Business Award for co-developing the Tenjin learning quiz application No documented student advisement or grant leadership appears in current records, though he actively mentors through project-based collaborations. His work with the Media Computing Research Group drives innovation in educational technology and public safety applications. Kirchknopf contributes to the Media Computing Research Group's portfolio including Fake News Detection, SAiEX (Safe AI with explainable integrity), InfraBase (building footprint segmentation), and Ressel Center music therapy projects. His cross-disciplinary collaborations span computer scientists, archaeologists, and social scientists, reflecting the group's commitment to human-centric technological solutions .

Tina Comesمشاهده پروفایل

استاد

• Crisis Informatics
• Decision Theory
• Disaster Management
• +۲ مورد دیگر

Tina Comes is a Full Professor in Decision-Making & Digitalisation at the University of Maastricht, Netherlands. She holds a part-time position (0.2 FTE) and has previously held academic roles at TU Delft (Associate Professor in Decision-Making for Resilience, 2017), University of Agder (Full Professor in ICT, 2015-2017), and Visiting Professor at Lamsade, Université Dauphine, Paris (2014). Her research focuses on Crisis Informatics , Decision Theory , Disaster Management , Humanitarian Logistics , and Resilience . Her work spans building simulation , ventilation systems , and energy-efficient design , with grants totaling €9.6 million since 2012. Key projects include Resilient Systems (NL Ministry of Defense, 2020-2026), H2020 HERoS (2020-2023), and Climate Resilient Urban Infrastructure (Amsterdam, 2020-2022). She has supervised 6 PhD students at TU Delft (2017-2022), 3 Postdocs/PhDs at University of Agder (2013-2020), and 1 PhD at Université Toulouse (2014-2018). Her scientific awards include: 2020 José Maria Sarriegi Award by the Spanish Red Cross 2019 Emerald Literati Award 2016 Delft Technology Fellowship (acceptance rate 2012 Best Paper Award at ISCRAM Conference

Deng Xiaotieمشاهده پروفایل

استاد

• Algorithmic Game Theory
• Internet Economics
• Parallel Computing
• +۱ مورد دیگر

Xiaotie Deng is a distinguished academic and Chair Professor at Peking University (since 2018), with prior roles at Shanghai Jiao Tong University (2013–2017), the University of Liverpool (2010–2013), and City University of Hong Kong (1997–2013). His research focuses on algorithmic game theory, internet economics, and parallel computing. He holds prestigious fellowships including ACM Fellow (2008) and IEEE Fellow (2019). Deng has led significant grants, including a RMB 5M project on algorithmic game theory at Peking University (2018–2020) and NNSFC-funded research on market competitiveness and fairness (2018–2020). Education: PhD in Computer Science from Stanford University (1989), MSc from Chinese Academy of Sciences (1984), BSc from Tsinghua University (1982). Research interests span computational game theory, equilibrium analysis, and blockchain applications. Notable contributions include foundational work on Nash equilibrium complexity and mechanism design for resource allocation. He has advised numerous PhD students and serves on editorial boards of top journals like SIAM Journal on Computing and IEEE Transactions on Cloud Computing. Key awards: ACM and IEEE Fellowships, JSPS Invitation Fellowships (2005, 1996), and NSERC International Fellowship (1991). Active in conference organizing, including PC chairs for WINE 2020 and SAGT 2018. Consultancy includes work with Cryptape, Ant Financial, and Microsoft Research Asia, reflecting his industry engagement in algorithmic solutions and blockchain technologies.

Stephan Leitnerمشاهده پروفایل

دانشیار

• Agent-Based Modeling and Simulation
• Organizational Dynamics
• Complex Systems
• +۵ مورد دیگر

Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .

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.

• Cybersecurity
• Blockchain
• Machine Learning
• +۱۲ مورد دیگر

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

• Computational Logic
• Declarative Logic Programming
• Answer-Set Programming
• +۵ مورد دیگر

Hans Tompits is an Associate Professor in the Department of Knowledge-Based Systems at Technische Universität Wien (Vienna University of Technology). His research focuses on computational logic, declarative logic programming, and formal methods, with a particular emphasis on Answer-Set Programming (ASP). He coordinates the Master's program in Logic and Computation and leads projects in areas such as formal methods for optimization, fault-tolerant autonomous systems, and algorithmic composition. His work bridges theoretical advancements with practical applications, including tools like SeaLion (an ASP IDE with debugging support) and dlvhex (an ASP-based semantic web reasoner). He has contributed to foundational topics like program equivalence, debugging techniques, and integration of ASP with external systems. His recent projects address challenges in autonomous vehicle architectures, music composition algorithms, and safety-critical system design. Tompits has published extensively on topics ranging from nonmonotonic reasoning and modal logics to the development of declarative programming tools. His interdisciplinary approach spans computer science, mathematics, and AI, with applications in both academic and industrial contexts.

• Demography
• Climate Change and Sustainability
• Population Forecasting
• +۵ مورد دیگر

Erich Striessnig is an Associate Professor at the University of Vienna's Department of Demography, serving as Deputy Head of the department. He actively contributes to teaching courses such as Population Forecasting and Population, Climate Change and Sustainable Development , and collaborates with the Environment and Climate Research Hub. Research Focus : Striessnig integrates demography with climate change, sustainability, and human capital. His work examines how environmental concerns interact with fertility decisions, the role of education in climate risk mitigation, and the relationship between aging populations and temperature-related mortality. He also investigates demographic metabolism, intergenerational equity, and computational reproducibility in research. Scientific Contributions : His recent publications in Global and Planetary Health and Demographic Research include analyses of sustainable wellbeing metrics (e.g., 'Years of Good Life'), demographic responses to climate change, and methodological studies on data uncertainty. A key project, Climate, Health and Population (CHAP) , explores vulnerability differences in Vienna's metropolitan region.

Lorna Hughesمشاهده پروفایل

استاد

• Digital Humanities
• Digital Cultural Heritage
• Digital Methodology in Humanities
• +۱ مورد دیگر

Lorna Hughes is a Professor in Digital Humanities at the School of Humanities, University of Glasgow. She has held significant academic roles globally, including Chair in Digital Humanities at the University of London's School of Advanced Study and joint appointments with the National Library of Wales and the University of Wales. Her work focuses on digital cultural heritage, methodology in humanities, and interdisciplinary applications of digital humanities. Education: MPhil in History and Computing (1991), MA(Hons) in Medieval and Modern History (1990), both from the University of Glasgow She has developed and convened key courses such as Introduction to Digital Humanities (University of Glasgow), Museum Studies Dissertations (University of Glasgow), and Museums and Interactive Technologies (New York University). Her leadership extends to international organizations, including the EuroScience Board, Europeana Board of Directors, and the Association for Computers and the Humanities (ACH), where she served as President twice.

• Augmented Reality
• Computer Vision
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.

Eugene Kooninمشاهده پروفایل

استاد مدعو

• Microbiology
• Virology
• Bioinformatics
• +۴ مورد دیگر

Eugene Koonin is a Senior Investigator at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), NIH, and holds adjunct professorships at Georgia Institute of Technology, Boston University, and the University of Haifa. A leading figure in evolutionary biology and computational genomics, he has made foundational contributions to comparative genomics, virus evolution, and the analysis of horizontal gene transfer. Education: BS in Biochemistry, Moscow State University (1978) PhD in Molecular Biology, Moscow State University (1983) Research Interests: His work spans evolutionary genomics, virus-host coevolution, discovery of novel viruses through metagenomics, and the evolutionary regimes of human cancers. He pioneered the Clusters of Orthologous Genes (COG) system and investigates thermodynamic principles underlying evolution. Publications: His recent work includes groundbreaking studies on gut viromes, RNA virus diversity, anti-CRISPR protein discovery, and SARS-CoV-2 pathogenicity. These publications reflect his integrative approach to computational biology. Scientific Awards: NIH Distinguished Investigator (2019) Benjamin Franklin Prize for Open Access (2019) Doctor Honoris Causa, Wageningen University (2018) Georgy Gamow Prize (2018) Member, National Academy of Sciences (2016) Israel Pollak Lecture Award (2011) Leadership & Collaborations: He has chaired major conferences (e.g., Gordon Research Conference on Genomics) and served as Editor-in-Chief of Biology Direct and Associate Editor of Genome Biology and Evolution . His lab at NCBI includes researchers like Kira Makarova and Yuri Wolf.

• Audiovisual Media
• Image Processing
• Immersive Multimedia Communication
• +۱۳ مورد دیگر

Christian Timmerer is a Professor at the Institute of Information Technology, Alpen-Adria-Universität Klagenfurt. His research focuses on adaptive video streaming , energy efficiency , MPEG standardization , and quality of experience (QoE) , with significant contributions to HTTP Adaptive Streaming (HAS), multi-codec optimization, and immersive media systems. Email: christian.timmerer@aau.at Office Hours: Monday 3:00-4:00 PM (by appointment) Projects: CD-Labor ATHENA, GAIA, SPIRIT His research integrates machine learning and generative AI to enhance video encoding, super-resolution, and voice dubbing, while prioritizing sustainability through energy-aware algorithms and open-source tools like GREEM and VEED. Current work emphasizes latency reduction and dynamic bitrate adaptation in live streaming environments. Recent publications address VVC optimization , multi-resolution encoding , and perceptual quality modeling , reflecting interdisciplinary efforts in networking , computer vision , and human-computer interaction . Awards include leading funded projects on adaptive streaming and green video systems.

Christine Bauerمشاهده پروفایل

استاد

• Interactive Intelligent Systems
• Recommender Systems
• Human-Computer Interaction
• +۹ مورد دیگر

Christine Bauer is a Professor of Interactive Intelligent Systems at the Department of Artificial Intelligence and Human Interfaces (AIHI), University of Salzburg, Austria. She is also Co-Lead of the interdisciplinary focus area InterMediation. Music—Effect—Analysis at the inter-university organization Wissenschaft & Kunst. Her research lies at the intersection of artificial intelligence, human-computer interaction, and human-centered computing, with a strong emphasis on fairness, context-awareness, and multi-method evaluation in recommender systems. Doctoral degree in Social and Economic Sciences (Business Informatics), 2009, University of Vienna MSc in Business Informatics, 2011, TU Wien Diploma in International Business Administration, 2002, University of Vienna Study of Jazz Saxophone, Konservatorium der Stadt Wien Her research interests center on interactive intelligent systems , particularly recommender systems in music and media, with a human-centered approach. She investigates how technology can align with societal and individual needs, focusing on fairness in algorithms , culture-aware recommendation , and multi-stakeholder evaluation . Her work often integrates interdisciplinary methods and real-world impact. The recent publications highlight a consistent trend in fairness and diversity in music and news recommendation, cross-cultural user behavior , and evaluation frameworks . Her research bridges technical rigor with ethical considerations, particularly in algorithmic bias and artist equity. She has made significant contributions to understanding gender imbalance , cultural granularity , and user conformity in digital music ecosystems. Elise Richter laureate (FWF) 6 best paper awards, 5 nominations Women in RecSys Journal Paper of the Year Award (2023, 2024) 5 awards and 6 recognitions for reviewing excellence Christine Bauer has supervised over 70 theses and taught at 17 institutions worldwide. She is deeply involved in academic service, including editorial roles (AE at TOIS, TORS, JITT), conference organization (RecSys, CHI, CIKM), and mentoring initiatives (WiMIR, LEA, Allyship at CHI). She leads impactful projects such as FairRecKit and SpART: Spotlight on Artists in Recommender Systems , aiming to create more equitable and transparent recommendation technologies. She frequently engages in public outreach through keynotes, media appearances, and policy discussions. She is affiliated with the University of Salzburg as her primary institution and was previously associated with JKU Linz and the University of Klagenfurt. Her labs and research teams focus on interactive intelligent systems , music recommenders , and fair AI , often in collaboration with interdisciplinary partners in arts and social sciences.

Navid Rekab-sazمشاهده پروفایل

استادیار

• Natural Language Processing
• Information Retrieval
• Fairness and Bias in AI
• +۷ مورد دیگر

Navid Rekab-saz is an Assistant Professor at the Institute of Computational Perception, Johannes Kepler University Linz (JKU), Austria. He is actively involved in research and teaching, offering courses such as Natural Language Processing and Natural Language Processing with Deep Learning . He maintains regular office hours and is accessible via email and a dedicated booking system for meetings. His research focuses on natural language processing , information retrieval , fairness and bias in AI , and recommender systems , with applications in humanitarian action and ethical AI. He employs deep learning and machine learning techniques to address challenges in bias mitigation, explainability, and domain adaptation. His work often bridges technical innovation with societal impact, especially in developing inclusive and fair AI systems. The recent publications of Navid Rekab-saz reflect a strong trend in debiasing strategies , parameter-efficient learning , and evaluation of societal biases in search and recommendation systems. His research spans from foundational work on word embeddings and retrieval models to applied studies in humanitarian NLP and gender bias in user queries. He frequently collaborates with a broad network of researchers and contributes to the development of datasets and benchmarks. Scientific Awards: Best Student Paper Award at ISMIR 2022 for 'Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms' Advising and Grants: Navid Rekab-saz has advised and collaborated with numerous students and researchers, many of whom are co-authors on his publications. While specific grant details are not listed in the provided text, his extensive publication record in top-tier venues suggests active involvement in funded research projects, likely supported by national or European funding bodies. He is also engaged in interdisciplinary research, particularly at the intersection of technical AI and legal or social implications. Labs and Teams: He is a core member of the Institute of Computational Perception at JKU, where he contributes to research projects in computational linguistics and AI. He collaborates closely with the team led by Prof. Markus Schedl and participates in initiatives related to music information retrieval, fairness in AI, and humanitarian applications of NLP.