Find Academic Supervisors

Achim GoerresView profile

Professor

• Political Demography
• Political Integration of Immigrant-origin Citizens
• Electoral Behaviour
• +4 more

Achim Goerres is Professor of Empirical Political Science at the University of Duisburg-Essen, where he is affiliated with the Faculty of Social Sciences and Institute of Political Science. He is also a member of the Priority Research Area 'Transformation of Contemporary Societies' (which he chaired from 2014-2018) and the Interdisciplinary Centre for Immigration and Integration Research. Since May 2021, he has been a founding board member of the German Centre of Social Policy Research based jointly in Duisburg and Bremen, and since September 2021, he has been part of the International Max Planck Research School on the Social and Political Constitution of the Economy. Goerres is a comparative political scientist and political sociologist working at the intersection of political behavior and welfare state research. His primary research interests include: Political Demography Political Integration of Immigrant-origin Citizens, particularly Electoral Behaviour Comparative Politics of Ageing Political Solidarities Survey Research Methodology His research focuses on how large-scale social changes manifest themselves in the politics of individuals, with particular emphasis on population ageing and immigrant political behavior. Empirically, he employs both qualitative and quantitative approaches with a strong focus on survey research, including the Immigrant German Election Study (IMGES) that he co-founded. Goerres has published over 150 scholarly works and secured significant research funding, most notably a prestigious ERC Consolidator Grant in 2019 for 'POLITSOLID – The Ties that Bind: Experimental Analyses of Political Solidarities in Modern Democracies.' His recent publications examine immigrant voting patterns, political solidarities across demographic groups, and the political consequences of demographic change. Among his scientific recognitions, the ERC Consolidator Grant stands out, identifying him as one of only eight political scientists in Germany to receive an ERC Starting, Consolidator, or Advanced Grant between 2007 and 2020. As an educator, Goerres teaches empirical methods for political science and supervises PhD students including Paul Vierus, Hayfat Hamidou-Schmidt, and Jonas Elis. He has also received grants for the Immigrant German Election Study I and II, and projects on societal risk perception. His work on political integration and electoral participation provides valuable insights for democracies navigating increasing electorate diversity.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Wenwen WangView profile

Associate Professor

• Computer Systems
• Compiler Design
• Computer Architecture
• +4 more

Wenwen Wang is an Associate Professor in the School of Computing at the University of Georgia's Franklin College of Arts & Sciences. His research focuses on computer systems, compiler design, and embedded systems security. He holds a Ph.D. in Computer Science from the University of Chinese Academy of Sciences (2014). Education: Ph.D., Computer Science, University of Chinese Academy of Sciences, 2014 His research emphasizes dynamic binary translation, compiler optimization, and secure embedded systems. Notable contributions include frameworks like JavART (JIT compiler optimization) and BSan (memory error detection). He received the 2021 M. G. Michael Award for Sciences from the Franklin College. Wang has secured two NSF grants totaling $1.2 million, including CSR: Small grants for FALCON (2023–2027) and Modernizing Dynamic Binary Translation Systems (2023–2027). He advises three graduate students: Ruili Fang, Yage Hu, and Boyang Yi. His work addresses challenges in cross-architecture virtualization, GPU-based graph computing, and hardware-triggered security mechanisms. Recent projects include Liberator (GPU graph processing) and InvisiGuard (embedded device integrity).

Anton AkusokView profile

Lecturer

• Machine Learning
• Big Data Analytics
• Mobile Edge Computing
• +3 more

Anton Akusok is a Part-time Lecturer in the Big Data Analytics Master's program at Arcada University of Applied Sciences. He holds a BSc in IT from Moscow (2011), MSc in ML and Data from Aalto University (2014), and a DSc in ML from the University of Iowa, USA (2016). His research focuses on Extreme Learning Machines (ELM), hardware acceleration for ML on mobile devices, and real-time geospatial predictions. He has developed libraries like HPELM and Scikit-ELM, and created the HaSuRiski app for acid sulfate soil prediction in Finland. Research Interests: ELM applications in environmental modeling, federated learning security, mobile edge computing, and geospatial visualization. Key projects include real-time mapping apps with iOS integration and open-source ML tools. Publications (2021-2024) highlight work on federated learning privacy, acid sulfate soil detection, signature verification, and distributed ELM algorithms.

Arya FarahiView profile

Assistant Professor

• Statistical/Machine Learning
• Algorithmic Fairness
• Astroinformatics
• +3 more

Arya Farahi is an Assistant Professor of Statistics and Data Sciences at the University of Texas at Austin since 2021. His research bridges astroinformatics, urban informatics, and AI ethics, focusing on mitigating algorithmic bias and uncertainty quantification in real-world applications. He holds PhDs in Physics and Scientific Computing from the University of Michigan, where he was a Data Science Fellow at the Michigan Institute for Data Science. Farahi's work includes collaborations with international projects such as the Dark Energy Survey (DES), COsmostatistics Initiative (COIN), and XMM-XXL Consortium. He leads the D3 Lab, which develops AI tools for scientific discovery and societal challenges, emphasizing interdisciplinary collaboration. His open-source contributions include TATTER, KLLR, and PoPE for statistical analysis and visualization. Key awards include the Best Student Paper Award at KDD’18 and a $400k+ grant. He is a volunteer with Statistics Without Borders and actively involved in projects like the Fire and Smoke Digital Twin for urban resilience. His research spans cosmology, healthcare AI, and urban economics, with a focus on trustworthy models and equitable AI systems.

En-Hui YangView profile

Professor

• Information Theory
• Multimedia Compression
• Digital Communications
• +3 more

Dr. En-Hui Yang is University Professor in Electrical and Computer Engineering at the University of Waterloo and founding Director of the Leitch-University of Waterloo Multimedia Communications Lab. A world-renowned expert in information theory, he co-developed the Yang-Kieffer algorithm for lossless compression and invented soft decision quantization technology used in smartphones and web browsers. His research spans multimedia compression, digital communications, and deep learning. Education: Ph.D. Electrical Engineering, University of Southern California (1996) Ph.D. Probability and Statistics, Nankai University (1991) B.Sc. Applied Mathematics, HuaQiao University (1986) His transformative work in data compression has impacted millions globally through technologies accelerating data transmission efficiency. Articles focus on optimization of video/image compression standards (HEVC/H.264), channel coding theorems, and novel compression algorithms. Scientific Awards: IEEE Eric E. Sumner Award (2021) Canada Research Chair - Tier 1 (2010, 2017) Fellow of the Royal Society of Canada (2009)

Bernadette Hyland-WoodView profile

Lecturer

• Public Data Policy
• Digital Communications
• Data Ethics
• +8 more

Dr. Bernadette Hyland-Wood is a Lecturer in the School of Communication at Queensland University of Technology (QUT) and a Research Fellow at QUT's Centre for Data Science. She serves as an Affiliated Investigator in the Computational Communication and Culture Program within QUT's Digital Media Research Centre and is a chief investigator in the QUT Digital Media Research Centre. Her academic journey began with a Bachelor of Arts (Honours equivalent) in Computational Linguistics from UCLA, followed by a PhD in Policy and Governance from the University of Queensland in 2021. Dr. Hyland-Wood's research focuses on: Public data policy and digital communications during crisis situations Data ethics, AI governance, and organizational behavior in data-driven environments Responsible data science and deployment of generative AI technologies Indigenous Data Sovereignty and ethical considerations in AI development Science and technology policy with applications in health data infrastructure Her scholarly work demonstrates a consistent trajectory examining the intersection of data, policy, and public communication, particularly during periods of societal disruption. Recent publications reveal an increasing focus on AI governance frameworks, Indigenous perspectives on technology, and regulatory compliance in emerging technological landscapes. Her research has evolved from foundational work on open government data to more complex analyses of AI ecosystems and their societal implications. Dr. Hyland-Wood has received recognition through media features in the Australian Broadcasting Corporation (ABC) and Radio New Zealand. Her expertise has been sought for high-level policy contributions, including chairing the W3C Government Linked Data Working Group and authoring influential publications on crisis communications during the COVID-19 pandemic. Professional highlights include: Founding four tech startups in Australia and the U.S., two of which were acquired by major companies Serving as professional CEO of a semantic technology spin-out from MIT Co-founding Women in Technology (WiT) Australia in 1997, now Australia's largest professional networking organization supporting women in digital technologies Two decades of involvement in Open Source Software projects and W3C data standards development Leadership in international initiatives on data exchange standards to support digital research and evidence-based policymaking Dr. Hyland-Wood's career bridges academia, industry, and policy, emphasizing applied research and knowledge translation to ensure responsible AI and data-driven decision-making. Her work contributes to multiple United Nations Sustainable Development Goals, particularly those related to quality education, industry innovation, and reduced inequalities.

• Science Fiction
• Cyberpunk Literature
• New Media
• +5 more

Bruce Sterling is a Professor of New Media and Science Fiction at The European Graduate School (EGS), where he has taught intensive summer seminars since 2003. He also served as "visionary in residence" at the Art Center College of Design in Los Angeles starting in 2005. Sterling is internationally recognized as a science fiction writer, net critic, and cyberspace theorist, with significant influence in the cyberpunk movement. Sterling graduated with a degree in journalism from the University of Texas, Austin, in 1976. His academic journey was followed by a prolific writing career that began with the publication of Involution Ocean in 1977. Sterling's research interests span the intersection of technology, culture, and narrative. He is particularly known for his work on cyberpunk literature, new media theory, and futurism. His concept of "design fiction" has influenced how designers and technologists think about future scenarios. Sterling's Viridian Design Movement promoted environmental awareness through design, while his Dead Media Project documented obsolete communication technologies. His writings consistently explore how technological change reshapes human experience, society, and our understanding of the future. Sterling's recent publications reveal a continued focus on the cultural implications of emerging technologies. His articles examine topics ranging from wearable computing and hyperlocal media to sustainable design and energy transitions. A recurring theme is the relationship between technological progress and environmental sustainability. Sterling frequently employs speculative approaches, using science fiction techniques to explore possible futures and challenge current assumptions about technology's trajectory. Sterling's scientific achievements have been recognized with numerous prestigious awards: Campbell Award (1989) for Islands in the Net Hugo Award (1997) for Bicycle Repairman Hugo Award (1999) for Taklamakan Hayakawa Award (1999) for Taklamakan Clarke Award (2000) for Distraction Sterling has been instrumental in shaping digital culture discourse through his teaching, writing, and activism. As a co-founder of the Electronic Frontier Foundation, he has advocated for digital rights and freedoms. His work bridges academic theory, creative practice, and public engagement, making complex technological issues accessible to diverse audiences. Sterling founded both the Dead Media Project, an archive of obsolete media technologies, and the Viridian Design Movement, an environmental aesthetic initiative. These projects reflect his unique approach to understanding technology through both historical and future-oriented perspectives. His work often explores the lifecycle of technologies, from emergence to obsolescence, and considers how design choices today shape possible futures.

• Computer Security
• Web Security
• Cryptography
• +1 more

Mauro Tempesta is a Senior Lecturer and Curriculum Coordinator for Security and Privacy at TU Wien's Faculty of Informatics. He teaches courses including 'Fundamentals of Security and Privacy' and 'Introduction to Security'. His research focuses on web security, browser mechanisms, firewall systems, and language-based security approaches. Tempesta's publications demonstrate expertise in analyzing modern web vulnerabilities and developing formal verification methods for security protocols. His recent work explores browser security mechanisms and same-site attacks, contributing to improved security frameworks for web applications.

Antoine MiechView profile

Researcher

• Computer Vision
• Machine Learning
• Natural Language Processing
• +7 more

Antoine Miech is a Researcher at DeepMind's Vision Group , with prior affiliations at Inria and Ecole Normale Supérieure where he completed his computer vision Ph.D. under Ivan Laptev and Josef Sivic . He has collaborated with researchers from Facebook AI and Google during his academic career. Research Interests span video understanding, weakly-supervised machine learning, and multimodal analysis. His work focuses on: Text-video embedding Self-supervised video representation Action localization Anticipatory video modeling Scalable multimodal learning Scientific Contributions include: HowTo100M - A massive dataset of narrated instructional videos MIL-NCE - A novel loss function for video-text alignment MEE - A model for handling heterogeneous data Context Gating - Learnable pooling architecture Awards & Recognition : Google Ph.D. Fellowship (2018) Technical Leadership : Created the LOUPE TensorFlow toolbox for feature pooling and maintained annotated video dataset catalogs. Organized the Data Science Game competition (2016-2017).

• Model Engineering
• Web Engineering
• Process Engineering
• +9 more

Gerti Kappel is a full professor at the Institute of Information Systems Engineering at TU Wien, affiliated with the Business Informatics Group (BIG). Since 2020, she has served as Dean of the Faculty of Informatics at TU Wien, previously holding the role of Dean’s team member responsible for research, diversity, and financial affairs (2016–2019). She previously held a full professorship in computer science (database systems) and led the Department of Information Systems at Johannes Kepler University Linz (1993–2001). Her research focuses on Model Engineering, Web Engineering, and Process Engineering, particularly in cyber-physical production systems. She has co-authored influential works such as UML@Work (2005), UML@Classroom (2015), and Web Engineering (2006). Key projects include leadership roles in Vienna Informatics Living Lab (2018–2019), MPM4CPS (2014–2019), and ARTIST (2012–2015), addressing topics like model versioning, cloud architecture modeling, and inter-organizational systems. Her recent articles explore circular systems engineering, IoT-based simulation environments, and model-driven approaches for time-series analytics and cloud applications. She actively contributes to academic governance, including managing the Office of the Dean (E199-01) and overseeing faculty services. Her work emphasizes bridging theory and practice through collaborative frameworks like ERPEL and TROPIC . Grants: Projects funded by Austrian Research Promotion Agency, European Cooperation in Science and Technology, Vienna Business Agency, and others. Advising: Supervised over 15 graduate theses, including recent works on model-driven techniques for railway planning, debugging frameworks for modeling tools, and cloud-based IDEs. Labs/Teams: Leads research within the Business Informatics Group (BIG) and collaborates with the Vienna Informatics Living Lab for applied systems engineering.

Pablo CallejaView profile

Research Fellow

• Natural Language Processing
• Medical Informatics
• Legal Informatics
• +5 more

Pablo Calleja is a Research Fellow at the Faculty of Computer Science, Polytechnic University of Madrid (UPM), where he has been a member of the Ontology Engineering Group (OEG) since March 2014. His research focuses on Natural Language Processing (NLP), medical terminology mapping, and legal domain applications. He holds a degree in Computer Engineering from San Pablo CEU University (2013) and has prior industry experience as a software developer at IECISA (2008–2011) and a collaboration grant at the Open Access Classroom, San Pablo CEU University (2011–2013). Key contributions include projects like Drugs4covid for pandemic drug discovery, TermitUp for terminological enrichment, and esT5s , a Spanish text summarization model. His work spans legal knowledge graphs, multilingual compliance systems, and NER techniques for academic content analysis. He has also explored accessibility multimedia services and semantic graph applications in tourism ( DBtravel ). Professional roles include collaboration grants at UPM and active participation in interdisciplinary projects such as SNOMED-CT annotation for medical technical sheets. Research trends emphasize cross-domain adaptation (e.g., K-Flares), data augmentation (Widaug), and multilingual NLP solutions. Advising and grants: His current position is supported by a collaboration grant at OEG. Earlier grants include work at San Pablo CEU University. No formal advisees are listed, but he contributes to collaborative research teams. Labs and teams: Core member of the Ontology Engineering Group (OEG), focusing on knowledge representation, NLP, and applied informatics in healthcare and law domains.

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +5 more

Christian Eichhorn is an Assistant Professor in the Department of Computer Science at Technical University of Munich, specializing in Human-Computer Interaction, Virtual Reality, and Augmented Reality applications. His research primarily focuses on developing serious games and immersive technologies for healthcare, education, and older adults. He has established a strong collaborative network, particularly with David A. Plecher and Gudrun Klinker, resulting in numerous publications in top HCI and VR venues. Dr. Eichhorn's research interests center around creating accessible and engaging technology applications. His work demonstrates particular expertise in developing serious games for various educational purposes (language learning, history education), healthcare applications (rehabilitation, dementia care), and technologies specifically designed for older adults. His research combines technical innovation in AR/VR systems with practical applications addressing real-world challenges in healthcare and education. Analysis of his recent publications (2022-2025) reveals a consistent focus on practical applications of immersive technologies. His work spans educational tools for programming and language learning, healthcare applications for rehabilitation and clinical training, and specialized technologies for older adults. The research demonstrates a strong interdisciplinary approach, bridging computer science with healthcare, education, and gerontology. His technical contributions include innovations in AR/VR system design, collaborative environments, and novel interaction techniques. Dr. Eichhorn has been actively involved in organizing workshops and contributing to major conferences in the VR/AR field, including IEEE VR and ISMAR. His collaborative approach is evident in his extensive co-authorship network spanning multiple institutions. His laboratory work focuses on developing practical AR/VR applications, with particular emphasis on creating systems that bridge virtual and physical experiences. Current projects include serious games for health behavior change, rehabilitation assessment tools using wearable sensors, and social VR environments for older adults.

Wolfgang NejdlView profile

Professor

• Search and information retrieval
• Information systems and databases
• Semantic Web and Web 2.0
• +4 more

Wolfgang Nejdl is a Full Professor of Computer Science at Leibniz Universität Hannover since 1995 and the Head of the L3S Research Center since 2001. His research focuses on Web Science, search and information retrieval, semantic web technologies, peer-to-peer infrastructures, databases, technology-enhanced learning, and artificial intelligence. Education: M.Sc. (1984) and Ph.D. (1988) in Computer Science from Vienna University of Technology. Previous Positions: Assistant Professor in Vienna (1988–1992), Associate Professor at RWTH Aachen (1992–1995), and visiting professor/researcher at Xerox PARC, Stanford, University of Illinois at Urbana-Champaign, EPFL Lausanne, and PUC Rio. His research spans foundational and applied Web technologies, including social networks, trust and reputation, Web infrastructure, digital libraries, semantic web, collaborative filtering, and privacy-preserving systems. Recent projects like PHAROS, OKKAM, LiWA, and LivingKnowledge highlight his work in audio-visual search, web entities, web archive management, and diversity bias algorithms. Wolfgang Nejdl published over 230 scientific articles and held leadership roles as General Chair for AH'08 and PC Chair for WWW'09. He co-founded iSearch IT Solutions in 2006 to commercialize digital library and web engineering research from L3S projects. Scientific Awards: Founding member and head of the L3S Research Center The L3S Research Center, with a 2009 budget of €6 million (75% third-party funding), focuses on connecting the Web to real-world entities through research in Web Science, service computing, and security. Funding comes equally from the European Union and national/industry sources.

Vadim KaratayevView profile

Assistant Professor

• Ecosystem Resilience
• Community Ecology
• Landscape Ecology
• +5 more

Vadim Karatayev is the William J. Higgins Assistant Professor of Biology at the University of Maryland. His research integrates ecological theory with large-scale field data to study resilience in complex ecosystems, focusing on community ecology, landscape ecology, and network dynamics. He explores critical questions at the intersection of ecological stability and climate change impacts. His work emphasizes spatial synchrony mechanisms, invasive species management, and the role of behavioral dynamics in regulating ecosystem states. Recent projects include analyzing how climate change amplifies synchrony in marine systems and evaluating the cascading effects of resource subsidies across ecosystems. Research interests: Ecosystem resilience, alternative stable states, spatial synchrony, climate change mitigation strategies Key contributions: Quantitative frameworks for understanding biodiversity loss from invasions and habitat degradation Lab affiliation: Resilience Lab (https://resiliencelab.github.io/) Publications span high-impact journals like Ecology Letters and Proceedings of the National Academy of Sciences. His interdisciplinary approach bridges ecological theory with practical conservation challenges, including pandemic response modeling and climate policy analysis.