جستجوی استاد راهنمای دانشگاهی

Dennis Herhausenمشاهده پروفایل

استاد

• Digital Communication
• Customer Journeys and Experience
• Multichannel Management
• +۷ مورد دیگر

Prof. Dr. Dennis Herhausen is a Full Professor of Marketing and Head of the Marketing Department at Vrije Universiteit Amsterdam’s School of Business and Economics. Previously, he held positions as Associate Professor at KEDGE Business School, Visiting Professor at the University of St. Gallen, and Assistant Professor at the University of St. Gallen. His research focuses on digital communication, customer journeys, multichannel management, and social media strategies, with publications in top-tier journals like the Journal of Marketing and Journal of Marketing Research. His work addresses critical issues such as online firestorm mitigation, complaint de-escalation, and gig economy communication. He has been awarded multiple prestigious prizes, including the 2021 CBSIG Consumer Research Award and the 2019 William R. Davidson Award. Education: PhD in Marketing from University of St. Gallen (2011) Teaching: Courses on Customer Experience Management, Survey Research Methods, and Thesis Guidance Research Interests: His work explores digital marketing strategies, customer-centric innovations, and the dynamics of online platforms. Recent studies address topics like business-to-investor marketing signals, privacy orientation measurement, and machine learning biases in marketing. He actively contributes to editorial boards of journals including Journal of Marketing and Journal of Interactive Marketing. Awards: 2021 CBSIG Consumer Research in Practice Award 2021 Retail & Pricing SIG Best Paper Award 2021 SERVSIG Best Services Article Award 2020 William R. Davidson Award Grants & Editorial Work: His research has been funded by national/international grants, and he serves on multiple editorial boards. Notable datasets include studies on online retailer strategies and virtual brand sabotage responses.

Pascal Mettesمشاهده پروفایل

استادیار

• Hyperbolic Deep Learning
• Computer Vision
• Vision-Language Models
• +۳ مورد دیگر

Pascal Mettes is a tenured Assistant Professor at the University of Amsterdam within the Informatics Institute, specializing in Artificial Intelligence. He leads groundbreaking research in hyperbolic deep learning, a field he has significantly advanced through theoretical developments and practical applications in computer vision and multimodal learning. His research focuses on three primary domains: hyperbolic vision-language models that address the hierarchical nature of language-vision relationships; hierarchical deep learning using hyperbolic embeddings that naturally accommodate exponential growth patterns; and robust deep learning in hyperbolic space that improves out-of-distribution detection and network resilience. Mettes has established himself as a leading figure in this emerging field through numerous publications at top-tier conferences including CVPR, ICCV, ICML, NeurIPS, and ICLR. His recent work demonstrates how hyperbolic geometry provides natural solutions to fundamental limitations in modern deep learning, particularly regarding hierarchical data structures that cannot be adequately represented in Euclidean space. The publication trends show increasing impact and recognition in the computer vision and machine learning communities, with multiple papers receiving oral presentations and best paper nominations. Best paper nomination ESWC25 for 'Designing Hierarchies for Optimal Hyperbolic Embedding' Finalist MM 2023 Best Open-Source Software Competition (for HypLL) Multiple reviewer awards across major conferences including CVPR, ICLR, ECCV, ICML, and NeurIPS MM 2016 Best Doctoral Student Award TRECVID 2015 Winner Multimedia Event Detection Benchmark Mettes actively mentors eight PhD students working on hyperbolic learning and related topics, while also securing significant research funding including ELLIs PhD Award, NWO ClickNL, Google Perception Academic Funding, and Data Science Centre PhD Grants. He serves in prominent academic roles as Program Chair for International Conference on Multimedia Retrieval 2026 and has organized multiple workshops on hyperbolic learning at major conferences. His leadership in establishing hyperbolic deep learning as a recognized research direction is evident through his survey paper in IJCV 2024 and the development of the HypLL library for hyperbolic learning.

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +۴ مورد دیگر

Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing

• Inquiry-Based Learning
• Educational Technology
• STEM Education
• +۶ مورد دیگر

Tessa H.S. Eysink is a Full Professor in Instructional Technology, affiliated with the Digital Society Institute. Her research focuses on educational technology, inquiry-based learning, and technology-enhanced STEM education for children. 2024 Research Highlights : Investigated physiological and gaze metrics for learner emotions in Frontiers in Psychology Studied hypothesis generation in simulation-based learning in the Journal of Research in Science Teaching Co-developed the gamified Science Chaser app for STEM engagement at the ACM Interaction Design and Children Conference Her work bridges psychology, computer science, and education, emphasizing multimedia learning and cognitive modeling. No scientific awards or student supervision details were explicitly mentioned in the provided texts.

• Instructional Technology
• Computer-Supported Collaborative Learning
• Technology-Enhanced Learning
• +۷ مورد دیگر

Hannie A. Gijlers is an Associate Professor at the Digital Society Institute, affiliated with the Department of Instructional Technology in the Faculty of Behavioral, Management and Social Sciences at the University of Twente. Her work bridges technology and education, focusing on innovative learning environments and collaborative processes. Academic Rank: Associate Professor Institution: University of Twente Research Institute: Digital Society Institute Department: Instructional Technology Her research interests center on computer-supported collaborative learning (CSCL) , technology-enhanced STEM education , inquiry-based learning , and the role of emotions and feedback in learning. She investigates how digital tools and agent-facilitated environments support students and teachers in collaborative settings, often through cross-cultural comparisons. Her work integrates physiological and gaze-based data to understand implicit learner emotions, pushing the boundaries of learning analytics. The recent publications (2021–2024) reveal a strong focus on teacher guidance models , gamified STEM apps , clinical reasoning in medical education , and climate change literacy . These works span disciplines including educational psychology, computer science, and environmental education, indicating interdisciplinary collaboration. Keywords across these articles include collaborative learning, emotion detection, technology integration, and cross-cultural studies, reflecting a consistent research trajectory in digital pedagogy and learner support. While no specific awards are listed in the provided text, her sustained publication record in high-impact venues and leadership in collaborative research projects suggest recognition within the academic community. Hannie Gijlers actively supervises research, as evidenced by co-authored works with junior researchers and contributions to practitioner research models. Her involvement in datasets and conference presentations indicates ongoing grant-funded or institutionally supported research activities. She has contributed to both theoretical frameworks (e.g., four-phase mentorship model) and applied tools (e.g., Science Chaser app), demonstrating a balance between scholarship and practical innovation. She is part of a vibrant research network at the University of Twente, collaborating with scholars like T.H.S. Eysink, A.W. Lazonder, and N. Janssen. Her team explores agent-facilitated learning, gamification in STEM, and teacher development, often in international collaborations (e.g., Dutch-Finnish studies). These efforts are supported by digital infrastructure and interdisciplinary datasets, positioning her at the forefront of digital society research in education.

• Cybersecurity
• Data Encryption
• Access Control Systems
• +۳ مورد دیگر

Willem Jonker is a Full Professor at the Digital Society Institute, specializing in Semantics, Cybersecurity & Services. His research focuses on encryption schemes, access control, and privacy-preserving technologies. He has contributed to over 120 publications, with recent work addressing CVE-to-CWE mapping, anomaly detection in network traffic, and functional encryption systems. His expertise aligns with UN Sustainable Development Goals related to secure digital systems and privacy. Jonker has supervised 10 students and actively participates in academic conferences, presenting on topics like secure data management and cryptographic protocols. Research interests include cryptographic protocols, secure data management, and cybersecurity solutions. Notable projects involve developing methods for detecting covert channels, enhancing data privacy in healthcare, and improving secure search over encrypted data. He has also contributed to standards in digital rights management and forensic image recognition.

Jie Liمشاهده پروفایل

استاد مدعو

• Human-Computer Interaction (HCI)
• User Experience (UX) Design
• Extended Reality (XR)
• +۷ مورد دیگر

Dr. Jie Li is a dual-career academic and creative professional with a PhD in Industrial Design Engineering from Delft University of Technology. As an HCI/UX researcher in industry and Adjunct Professor at multiple institutions, she bridges academia and practice through work on Extended Reality (XR) , Human-AI interactions , and user experience evaluation . Her ACM Interactions column 'Bits to Bites' explores interdisciplinary research methodologies. Education: MSc in Industrial Design Engineering, Delft University of Technology PhD in Industrial Design Engineering, Delft University of Technology (2019) Her research spans social VR platforms , AI-augmented cognition , and privacy-preserving emotion detection , with recent publications analyzing LLM-assisted game design , harassment detection in VR , and XR's impact on remote collaboration . She has received Best Demo Awards (2020, 2022) and the ACM Best Paper Award (2018). Notable trends in her work include emerging immersive technologies (XR, 6DoF displays), human-AI collaboration frameworks , and cross-domain applications from medical VR clinics to cultural heritage experiences . Her advocacy for synthetic UX research and asynchronous co-creation tools reflects industry-academia hybrid innovation. Scientific Awards: Best Demo Award (2020, ACM TVX/IMX 2020) Best Demo Award (2022, ACM Multimedia) ACM Best Paper Award (2018, ACM TVX) While maintaining active roles in CHI conference committees and guest lecturing , Jie also operates a Delft-based creative cake design business , demonstrating her commitment to interdisciplinary exploration and 'slash career' balance between technical research and artistic practice.

• Multimedia Modeling
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Dr. Stevan Rudinac is a Researcher at the University of Amsterdam's Faculty of Economics and Business , Section Business Analytics . His work focuses on interactive learning systems and multimodal data analysis, particularly in urban contexts and multimedia modeling. Education: PhD in Multimedia and Information Retrieval from Delft University of Technology (2013). Research Interests: Stevan specializes in multimedia modeling , hypergraph learning , and interactive video search . He develops frameworks for scalable analysis of social networks, urban imagery, and large multimodal datasets, bridging machine learning with practical applications in city planning and financial social media. Recent Trends: His 2024-2025 publications highlight large language model optimization , diffusion model evaluation , and dynamic graph embedding for meme stocks. Collaborative projects include the CASTLE 2024 dataset and Exquisitor , a system for 100 million image exploration. Labs & Teams: He contributes to the Business Analytics group at UvA, collaborating with Prof. Marcel Worring and Dr. Björn Þór Jónsson. He co-organized the UrbanMM'21 workshop and participates in ACM Multimedia and MMM conferences.

Laura Toniمشاهده پروفایل

دانشیار

• Machine Learning
• Signal Processing
• Immersive Communications
• +۵ مورد دیگر

Laura Toni is an Associate Professor in the Department of Electronic & Electrical Engineering at University College London (UCL). She serves as Director of the MSc in Telecommunications and Internet Engineering and the MRes in Telecommunications. Additionally, she is a Turing Fellow at the Alan Turing Institute and a member of ELLIS (European Lab for Learning and Intelligent Systems). Her research focuses on coding, streaming technologies, machine learning for immersive communications, decision-making under uncertainty, and large-scale signal processing. She leads the LASP (Learning And Signal Processing) group at UCL. Education: MSc (2005) and PhD (2009) from the University of Bologna, followed by postdoctoral research at UC San Diego and EPFL under Professors L. Milstein, P. Cosman, and P. Frossard. Key roles include Technical Program Chair at ACM MM 2022, Keynote Co-Chair at ACM MMSys 2022, and leadership in organizing workshops on graph-based machine learning and emerging technologies in performing arts. She is a Senior IEEE Member and holds editorial roles in IEEE Multimedia Magazine and EURASIP Journal on Signal Processing. Her work bridges communication systems and machine learning, with contributions to adaptive streaming, network optimization, and graph signal processing. She actively promotes diversity and inclusion in technical conferences, including roles as Diversity Chair at MMSys 2021 and PIMRC 2020.

Sanne Frequinمشاهده پروفایل

استادیار

• Digital Art History
• 3D Reconstruction
• Technical Art History
• +۵ مورد دیگر

Dr. Sanne Frequin is an Assistant Professor in Art History at Utrecht University within the Faculty of Humanities. Her work bridges traditional art historical research with digital methodologies. Academic coordinator of the Master’s program in Art History Board member of the Utrecht University Teaching Academy (T@UU) Coordinator of the Digital ArtLab Her research focuses on digital and 3D reconstruction of medieval and early modern art , particularly lost or damaged artefacts. Key projects include: The 3D reconstruction of Guy of Avesnes’ tomb Digital analysis of the Lindau Master’s panel painting Development of the #MedievalMe serious game She actively engages in science communication through: Radio appearances (NPO Radio 1’s De Wild in de Middag , OVT ) Collaborations with heritage institutions (Museum Catharijneconvent, KB National Library) Public projects like the Medieval Meme Machine

• Digital Humanities
• Visual Culture
• Computational History
• +۵ مورد دیگر

Dr. Thomas Smits is a faculty member at the Faculty of Humanities of the University of Amsterdam , specializing in Digital Humanities , Visual Culture , and Computational History . His research bridges artificial intelligence with historical image analysis, focusing on media history, colonial visual representations, and algorithmic approaches to archival studies. Recent publications highlight his work on multimodal datasets, generative AI in protest memory reconstruction, and the ethical implications of machine learning for historical research. Smits employs computational methods like CLIP and computer vision to analyze large-scale visual collections, including magic lantern slides, historical advertisements, and news images. Key research areas: Digital Humanities, Visual Memory, Algorithmic Analysis, Colonial Media, Gender Studies, Historical Epistemology. Methodological focus: Stochastic modeling, multimodal machine learning, distant reading of visual datasets, and AI-driven archival enhancement.

Lambert Schomakerمشاهده پروفایل

استاد

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

Luuc Bransمشاهده پروفایل

مدرس

• Cultural Sociology
• Political Sociology
• Climate Crisis in Fashion
• +۶ مورد دیگر

Luuc Brans is a Lecturer at the Erasmus School of History, Culture and Communication (Erasmus University Rotterdam) and a postdoctoral researcher at KU Leuven. He is affiliated with Harvard’s Weatherhead Centre for International Affairs and holds visiting scholar ties to Harvard’s Sociology Department. His work bridges cultural sociology and political science, focusing on climate crisis intersections with fashion, political polarization, and cultural inequality. Education: BSc Political Science (cum laude, University of Amsterdam), MSc Nationalism Studies (cum laude, University of Edinburgh). Former fashion model experience in London, Milan, Paris, Amsterdam, and Tokyo informs his scholarly lens on fashion systems. Research Interests: Investigates how climate crises politicize cultural industries, particularly fashion. Current projects explore ‘sustainable-cultural entrepreneurs’ and how cultural production inequalities fuel moral polarization. Past work analyzed fashion journalism, transparency apps, and EU/UN fashion policy reforms. Uses international fieldwork across Europe and North America. Teaching & Outreach: Over 8 years of teaching experience from high school to master’s levels, including political science (UvA), sociology (KU Leuven), and civic education. Co-produces the Culture & Inequality Podcast with the European Centre for Culture and Inequality. Developed anti-disinformation media literacy programs across Europe. Labs/Teams: Affiliated with the European Centre for Culture and Inequality (EUCCI) through podcast collaborations. Maintains ties to Harvard’s Weatherhead Centre for research networks.

Pablo Cesarمشاهده پروفایل

استاد

• Human-Computer Interaction
• Multimedia Systems
• Distributed Systems
• +۳ مورد دیگر

Pablo Cesar is Professor holding the Human-Centered Multimedia Systems Chair at Delft University of Technology and leads the Distributed and Interactive Systems (DIS) group at Centrum Wiskunde & Informatica (CWI), the Netherlands' national research institute for mathematics and computer science. His work bridges academic research at TU Delft with applied innovation at CWI. Education: Doctorate (2005) from Helsinki University of Technology, Department of Computer Science and Engineering Master's (2002) from Universidad Politécnica de Madrid His research pioneers human-centered multimedia systems focusing on modeling and controlling distributed media collections across time and space, integrating real-time media streams and sensor data to enable novel remote collaboration scenarios. This work directly addresses challenges in distributed human interaction through system-level innovations in media orchestration. Scientific Awards: 2020 Netherlands Prize for ICT Research (recognized for scientific impact and communication) ACM Distinguished Member (top 10% of ACM members) IEEE Senior Member (top 10% of IEEE members) No specific student advising details or grant funding information appears in the source text, though his leadership of the DIS research group implies supervisory responsibilities. His inaugural lecture 'Human-Centered Multimedia: Making Remote Togetherness Possible' (May 20, 2022) featured a dedicated two-day symposium highlighting his research vision. The DIS group at CWI serves as his primary research laboratory, driving innovation in distributed interactive systems with applications spanning remote collaboration, telepresence, and context-aware media environments.

RC (Remco) Veltkampمشاهده پروفایل

استاد

• Game Technology
• Game Design
• 3D Object and Scene Analysis
• +۷ مورد دیگر

Remco Veltkamp Professor of Game and Media Technology at the Faculty of Science, Utrecht University. His research focuses on game technology, 3D analysis, video/image recognition, AR/VR interaction, and applications of serious games in health and education. He coordinates the Utrecht Center for Game Research and leads the Dynamics of Youth Hub's 'Play = Healthy Growing Up' initiative, exploring gaming's role in supporting chronically ill children. Additionally, he teaches Game Programming and co-founded the Serious Game Society. He serves as editor for International Journal of Serious Games and Graphical Models . Affiliations: AI Labs, Human-Centered Artificial Intelligence, Integrative Bioinformatics, Life Sciences (LS) Research Themes: Game design for education/training, virtual worlds, biofeedback through heart/brain measurements, narrative design in games Active in both academic research and applied data science initiatives, including the Utrecht Platform for Applied Data Science. Office: Minnaert Building, Room 4.03, Utrecht.