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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).

• Database systems
• Large scale analytics
• Distributed systems
• +3 more

Christoph Koch is a Full Professor in the School of Computer and Communication Sciences at EPFL (Ecole Polytechnique Federale de Lausanne) , Switzerland. He has held academic positions at Cornell University (2007-2010, 2006), Saarland University (2005-2007), and TU Vienna (2001-2005). His research focuses on database systems, logic, programming languages, and data management.

• Database systems
• Database theory
• Programming languages
• +2 more

Dr. Athos Agapiou serves as an Assistant Professor at the Department of Civil Engineering and Geoinformatics, Cyprus University of Technology, where he holds the 'Geoinformatics and Earth Observation' chair. He also serves as Deputy Director of the UNESCO Chair on Digital Cultural Heritage and coordinates the EOCult Laboratory, a specialized research group focused on applying Earth Observation and Geoinformatics for archaeological research and cultural heritage landscapes. His research interests center on developing and applying innovative remote sensing technologies for cultural heritage preservation, addressing challenges posed by environmental and anthropogenic factors. Dr. Agapiou has led numerous high-profile research initiatives at European and national levels, including Horizon Europe and Horizon 2020 projects, as well as programs funded by the Cyprus Research and Innovation Foundation. His publication record demonstrates consistent output in remote sensing applications for archaeology, with particular focus on satellite image fusion, UAV technologies, spatial resolution optimization, and advanced data analysis techniques for archaeological prospection. His work bridges technical remote sensing methodologies with practical archaeological applications. Young Scientist Award from International Society for Digital Earth (2023) Young Researcher Award by Cyprus Research Awards (2018) Top 2% researcher worldwide in field (Stanford studies 2020-2024) Top three global researchers in Geoinformatics for cultural heritage (2024) Dr. Agapiou actively contributes to major research projects and collaborations, with his work influencing both academic research and practical applications in cultural heritage management. His laboratory (EOCult) serves as a hub for interdisciplinary research connecting geospatial technologies with archaeological practice.

• Remote sensing
• Earth observation
• Geoinformatics
• +3 more

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +13 more

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
• +7 more

Gene Tsudik is a Distinguished Professor of Computer Science at the University of California, Irvine (UCI), with a career spanning over two decades. He obtained his Ph.D. in Computer Science from the University of Southern California (USC) in 1991, focusing on access control in the Internet. His research spans multiple areas including computer and network security, applied cryptography, and digital privacy, with a recent emphasis on database privacy, genomic privacy, and usable security. His notable contributions include the Inter-Domain Policy Routing (IDPR) protocol, KryptoKnight for network security, and Tree-Based Group Key Agreement protocols. He has over 210 publications and 8 patents. From 2002 to 2007, he served as Associate Dean of Research and Graduate Studies at UCI's School of Information and Computer Sciences and currently directs the UCI Secure Computing and Networking Center (SCONCE). Research Keywords : Cybersecurity, Cryptography, Privacy, Network Security, Digital Signatures, Genomic Data Protection. Scientific Awards : IEEE Fellow (2012), ACM Fellow (2014), AAAS Fellow (2016), Fulbright Senior Scholar (2007), and IFIP Fellow (2020). Professor Tsudik has supervised 18 PhD students and held visiting positions at universities across Europe and Asia. His recent publications focus on secure hardware attestation, biometric authentication, and social media data privacy.

• Computer and network security
• Cryptopoetry
• Internet security and privacy
• +2 more

Lam James is a Chair Professor of Control Engineering at the University of Hong Kong (HKU), affiliated with the Faculty of Engineering. He holds a BSc (1st Hons.) in Mechanical Engineering from the University of Manchester, and MPhil/PhD degrees from the University of Cambridge. His academic journey includes roles as a Croucher Fellow, Lecturer at the University of Melbourne, and faculty member at City University of Hong Kong before joining HKU in 1993. Professor Lam serves as Editor-in-Chief for four international journals including IET Control Theory and Applications and Journal of The Franklin Institute . His research focuses on networked control systems, vibration control, control theory, and multi-agent systems. With 600+ peer-reviewed publications, he maintains an H-index of 102 (Web of Science) and 108 (Scopus), recognized as a Highly Cited Researcher in multiple fields. Education: BSc Manchester (Mechanical Engineering), MPhil/PhD Cambridge Editorial Roles: 20+ journals, including leadership roles since 2012 His awards include Foreign Membership of Academia Europaea (2024), National Academy of Artificial Intelligence membership (2025), and two State Natural Science Awards (2015, 2019). He is a Fellow of multiple institutions including IEEE, IMechE, and HKIE.

• Networked control systems
• Vibration control
• Control theory
• +7 more

Jürgen König is a full professor at the Department of Nutritional Sciences , University of Vienna, leading the Research Professorship Specialized Human Nutrition . His work bridges psychological and physiological dimensions of eating behavior, with additional focus on population-level nutritional assessment in Austria. Academic Rank: Professor Department: Nutritional Sciences Research Focus: Hunger/satiety mechanisms, Public health nutrition, Food safety Key research themes include: Psychological drivers of eating behaviors (stress, food craving, sensory cues) Physiological regulation of nutrient homeostasis National nutrition surveys assessing dietary patterns Caloric restriction and metabolic adaptation Child and adolescent hydration/nutrition policies Recent publications highlight: Mechanistic studies on caloric restriction effects (2025) Pandemic impacts on school nutrition (2024) Global obesity/diabetes trends analysis (2024) Behavioral nudging in food selection (2024) Microbiota's role in dietary interventions (2023) Contact: juergen.koenig@univie.ac.at | Sekretariat: sekretariat.ew@univie.ac.at

• Nutritional Sciences
• Eating Behavior
• Public Health Nutrition
• +4 more

Prof. Martin Messner is a University Professor at the University of Innsbruck, leading the Controlling Institute within the Department of Organization and Learning. His work focuses on management accounting, performance measurement, and the intersection of accounting practices with organizational behavior. He holds editorial leadership roles, including Editor-in-Chief of Accounting, Organizations and Society (2021–present) and previously served on the Management Accounting Research editorial board (2015–2019). Prior to his current position, he was an Assistant Professor at HEC Paris (2006–2011). Research Interests: His research explores performance measurement systems, ethics in management control, and the evolving roles of accounting in organizational narratives and governance. He investigates topics like algorithmic decision-making, narrative reporting, and entrepreneurial governance structures. Professional Activities: Member of the European Accounting Association’s Publications Committee Co-organizer of the MASOP Workshops (2008–2023) His publications span academic journals and edited volumes, addressing themes such as zero-based budgeting, data scientist identities, and the ethical implications of control systems. He actively bridges theoretical and practical accounting issues through interdisciplinary collaboration.

• Management Accounting
• Performance Measurement
• Accounting and Managerial Work

Karl Michael Göschka is an Associate Professor at Vienna University of Technology (TU Wien) in the Department of Distributed Systems (E194-02) within the Faculty of Computer Science. His academic title of Privatdozent indicates he has completed habilitation, the highest academic qualification in the German/Austrian system. He maintains an active research and teaching profile with courses scheduled through 2026S, including Bachelor Thesis supervision, Computer Science Projects, and PhD Seminars. His research spans over two decades with consistent publications from 2004 to 2022. Göschka's primary research interests focus on Dependable Distributed Systems, Web Engineering, and the convergence of voice and data technologies. His work demonstrates particular expertise in middleware, service-oriented architecture, wireless sensor networks, and fault tolerance mechanisms. He has supervised numerous master's and diploma theses since 2006, with his most recent doctoral supervision completed in 2022. Göschka's publication record shows a clear evolution from foundational work in distributed systems and replication (2004-2013) to more recent contributions in wireless sensor networks and dependable computing (2020-2022). His research consistently addresses the challenge of balancing dependability, performance, and security in distributed environments, with notable contributions in temporal decoupling techniques and adaptive systems. GIT-Preis des Österreichischen Vereins für Elektrotechnik (1999) Würdigungspreis des Ministeriums für Wissenschaft und Forschung (1998) GIT-Förderpreis des Österreichischen Vereins für Elektrotechnik (1994) Göschka has led and participated in multiple significant research projects including TRADE (2008-2011) on adaptive performance optimization, COMPASS (2005-2007) for automotive software systems, S-Cube (2008-2012), ALL-TIMES (2007-2010), and DeDiSys (2004-2007) on dependable distributed systems. His research has strong practical applications in automotive systems, online auctions, and critical infrastructure monitoring.

• Dependable Distributed Systems
• Web Engineering
• Convergence of Voice and Data
• +5 more

Peter Druschel is a Professor and founding Director of the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany. He holds adjunct professorships at Saarland University and the University of Maryland. His research focuses on distributed systems, operating systems, and privacy-preserving technologies. He earned his Ph.D. from the University of Arizona in 1994 and has held roles at Rice University since 1994, including Professor of Computer Science (2002–2005). Education: Ph.D. in Computer Science, University of Arizona (1994) Research Interests: Distributed systems, operating systems, network security, accountable computing, and privacy technologies. Current projects include privacy compliance in data systems (Thoth), secure communication (EbN), and privacy-aware image capture (I-Pic). Awards: SIGOPS Mark Weiser Award (2008) NSF CAREER Award (1995) Member of Academia Europaea and German Academy of Sciences Leopoldina Grants & Leadership: Leads the ERC Synergy Project imPACT, chairs the Max Planck Society’s Chemistry, Physics, and Technology Section, and collaborates with institutions like Cornell and Google. Advises on policy issues related to technology and privacy. Labs/Teams: Distributed Systems Group at MPI-SWS, collaborations with Microsoft Research and MIT. Current team includes students and postdocs working on privacy, security, and distributed systems.

• Distributed Systems
• Operating Systems
• Network Security
• +3 more

Ian Horrocks is a Professor of Computer Science at the University of Oxford and a Fellow of Oriel College. His research focuses on knowledge representation, description logics, automated reasoning, and semantic web technologies. He has held academic positions at the University of Manchester (2003–2007) and served as Chief Scientist at Cerebra Inc. (2001–2006). Horrocks earned his BSc (1st class), MSc, and PhD in Computer Science from the University of Manchester (1981–1997). His work includes foundational contributions to ontology languages (e.g., OWL) and reasoning systems such as HermiT and ELK. He has supervised over twenty doctoral students and postdoctoral researchers. His honors include Fellowships from the Royal Society (2011), ECCAI (2009), and the British Computer Society (2005). He serves as Editor-in-Chief of the Transactions on Graph Data and Knowledge and leads initiatives in semantic web standards and knowledge graph applications. Key Roles: Editor-in-Chief (Journal of Web Semantics), Co-Chair (W3C OWL Working Group) Grants: EPSRC Senior Research Fellowship (2005), numerous international collaborations Labs: Oxford Semantic Technologies, involvement in projects like RDFox and PAGOdA

• Knowledge Representation
• Description Logics
• Automated Reasoning
• +4 more

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
• +3 more

Paolo Gamba is Full Professor in Telecommunications and Remote Sensing at the University of Pavia, Italy, where he previously led the Telecommunications and Remote Sensing Laboratory until 2021. He currently serves as Delegate of the Rector for international relations with USA and the Americas. Gamba is Principal Investigator for projects funded by the Italian Space Agency (ASI), Italian Ministry for External Affairs, and European Space Agency (ESA), and coordinates the School of Science and Technology for the Consortium of Italian Universities for Argentina (CUIA). His research focuses on urban remote sensing , image processing , data fusion , and Earth observation applications for physical exposure and risk management. He has pioneered work in remote sensing data analysis and telecommunications, with particular emphasis on developing methods for urban environment monitoring. Gamba holds significant leadership positions in scientific organizations: Current Editor-in-Chief of IEEE Geoscience and Remote Sensing Magazine Former President of IEEE Geoscience and Remote Sensing Society (2019-2020) Technical Chair for multiple IGARSS conferences Founding organizer of GRSS/ISPRS Joint Workshops on Remote Sensing over Urban Areas Awards & Honors: IEEE Fellow (2013) IAPR Fellow (2020) AAIA Fellow (2022) Outstanding Service Award from IEEE GRSS (2021) Multiple excellence in reviewing awards He maintains active involvement in space mission planning through membership in advisory groups for COSMO/SkyMed Constellation (ASI) and Sentinel-2 Next Generation mission (ESA). Gamba has published extensively with over 150 peer-reviewed journal articles and 300+ conference presentations.

• Urban remote sensing
• Image processing
• Digital signal processing
• +5 more

Matteo Maffei is a Full Professor at TU Wien, leading the Security and Privacy group. He joined in 2017 after 11 years at Saarland University's CISPA. He holds a Ph.D. in Computer Science from Ca’ Foscari University of Venice (2006). He coordinates the TU Wien Cybersecurity Center, the SecInt Doctoral School, and the FWF Special Research Program SPyCoDe. His research focuses on formal methods for security and privacy, blockchain technologies, and web security. Roles: Full Professor, Coordinator of TU Wien Cybersecurity Center, Module Head of Christian Doppler Lab for Blockchain Technologies (CDL-BOT), Board Member of Vienna Cybersecurity and Privacy Research Cluster (ViSP). His work emphasizes formal verification of cryptographic protocols, smart contracts, and decentralized systems. Key achievements include ERC Advanced (2024) and Consolidator (2018) Grants, and leadership roles in conferences like IEEE Computer Security Foundations Symposium (CSF). Research Interests: Formal methods, smart contracts, blockchain scalability, web security, privacy-preserving protocols, and decentralized systems. His recent projects include optimizing Lightning Network channels, secure multi-hop payments, and AI-driven robustness verification. Publications: Over 200 publications in top venues like CCS, IEEE S&P, and CRYPTO. Recent work includes advancements in blockchain interoperability (e.g., Alba bridges), light client protocols (Blink), and neural network verification techniques. Grants & Awards: ERC Advanced Grant (2024), ERC Consolidator Grant (2018), DFG Emmy Noether Fellowship (2009). Led projects funded by EU Horizon, FWF, and industry partners like ABC Research GmbH. Advising & Labs: Supervised over 20 PhD/Master theses. Active in the Christian Doppler Lab for Blockchain Technologies and the SPyCoDe SFB. Collaborates with institutions like SBA Research and Stanford University.

• Computer Security
• Cryptography
• Privacy
• +4 more