Find Academic Supervisors

• Content Distribution Networks
• Multimedia Streaming
• Fog Computing
• +6 more

Tim Wauters is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05), with a focus on network systems and multimedia delivery. His work spans content distribution networks, fog computing, and machine learning applications in networking. Academic Affiliation: Ghent University Research Focus: Network Orchestration, Immersive Media Delivery, Containerized Cloud Systems His research explores network-aware solutions for optimizing multimedia streaming and cloud applications, including reinforcement learning for auto-scaling, fog computing for resource allocation, and QoE-centric delivery frameworks. Recent work addresses intrusion detection systems with hierarchical ML models and lifecycle-based datasets. Key article trends (2023-2025) show specialization in Kubernetes orchestration , low-latency immersive media , and ML-driven network security , published in venues like IEEE Transactions and ACM conferences. Scientific Awards FWO Fellowship (2008-2014) for multimedia streaming research Continued FWO funding for 6G networking projects As a PhD supervisor , he has guided research on topics including volumetric video delivery, fog computing resource allocation, and adaptive streaming protocols. His work often involves cross-disciplinary collaboration with IMEC and academic-industry partnerships.

Michael McMahonView profile

Lecturer

• Digital Media
• e-Learning
• Educational Technology
• +7 more

Michael McMahon is a Lecturer in the Department of Computing and Mathematics at South East Technological University (SETU). He is affiliated with the Wireless Communications & Large Scale Simulation Group, contributing to interdisciplinary research in digital education and simulation technologies. Education: Masters Degree in Digital Media & Education, University of Limerick (Awarded: 01 Jun 2010) Bachelors Degree in Computer Science, Ulster University (Awarded: 01 Jun 1992) Michael McMahon's research focuses on the intersection of digital media, e-learning, and pedagogical innovation. His work explores how hypermedia, musical intelligence, and multimedia design can enhance learning in diverse contexts, including elite sports training and language acquisition for Chinese students. He integrates technology with cognitive and practical learning theories to improve educational outcomes. His two key publications (2014, 2022) reflect a consistent interest in applying computing and media solutions to real-world learning challenges. The research spans language education, sports pedagogy, and digital learning environments, indicating a strong interdisciplinary orientation in educational technology and applied computing. Scientific Awards: No scientific awards listed. Michael McMahon advises on research within his domain, particularly in digital media and e-learning applications. While no formal grants are mentioned in the text, his involvement in peer-reviewed conference papers and research groups suggests active participation in funded or institutionally supported projects. He contributes to academic discourse through publications and collaboration within SETU's research ecosystem. He is part of the Wireless Communications & Large Scale Simulation Group, which likely engages in projects involving networked systems, simulation modeling, and educational technology development. This group provides a platform for collaborative research in large-scale digital systems with applications in learning and communication.

Andrew MacfarlaneView profile

Professor

• Information Retrieval
• Human-Computer Interaction
• Artificial Intelligence in IR
• +7 more

Dr Andrew Macfarlane is a Reader in Information Retrieval at the School of Mathematics, Computer Science and Engineering, City, University of London, and a key member of the Centre for HCI Design. His research bridges information retrieval, human-computer interaction, and accessibility, with a focus on improving search technologies for users with disabilities such as dyslexia and aphasia. He holds a PhD in Information Science from City, University of London, supervised by Professors Robertson and McCann (Imperial College London), an MSc in Advanced Methods in Computer Science (University of London), and a BSc in Computer Science (University of Westminster). He also earned a PGCert in Academic Practice from City. His research interests center on AI techniques for information retrieval and filtering, image retrieval, knowledge organization, and the intersection of IR with cognitive and physical disabilities. He explores how search systems can be made more inclusive and effective for diverse user groups, particularly in professional and journalistic contexts. His recent publications reflect a strong trend toward human-centered IR, with increasing focus on AI in journalism, accessibility, and sociotechnical design. Themes include dyslexia and aphasia in search, machine learning in multimedia retrieval, and the integration of AI into editorial workflows, emphasizing user needs and ethical design. Fellow, British Computer Society (2018) Fellow, Higher Education Academy (2017) Chartered Member (CITP), BCS (2004) Chartered Engineer, Engineering Council (2001) Andrew Macfarlane has supervised numerous PhD students in information science and computer science, covering topics from music IR to ontology-based search. He has served as principal investigator on projects like 'PhotoBrief' (TSB-funded) and co-investigator on 'SocialSensor'. His extensive professional service includes roles on program committees for SIGIR, CIKM, ECIR, and editorial board membership for the Journal of Information Science. He is actively involved in the BCS Information Retrieval Specialist Group, where he is a long-standing member and former chair, and contributes to the design and evaluation of search systems through both academic research and real-world applications.

• Machine Learning
• Computer Vision
• Intelligent Systems
• +7 more

Evi Zouganeli is a Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University (OsloMet). She leads the Automation, Robotics, and Intelligent Systems (ARIS) research group and serves as a board member of the Norwegian Artificial Intelligence Society (NAIS). Her work bridges academic research and industrial applications in intelligent systems. Research Focus: Zouganeli specializes in Machine Learning and Computer Vision applications for Cognitive Robotics, with emphasis on assistive technologies, smart cities, and smart industry. Her research explores neuromorphic computing, sensor network optimization, and multi-modal AI integration. Publications Trends: Recent works focus on AI-enabled robotics, sensor placement optimization in smart homes, and neuromorphic reservoir networks. Earlier contributions include European collaborative research in photonic technologies and broadband networks. Additional Contributions: She actively participates in public discourse about AI implementation challenges and Norway’s AI development potential, engaging with industry leaders and policymakers.

Tom DuscherView profile

Professor

• Information Design
• Scientific Visualization
• Science Communication
• +3 more

Tom Duscher is a Professor of Interactive Media at the Muthesius Academy of Art and Design in Kiel, Germany, affiliated with the Center for Media. He has held this position since 2003, leading research in information design and scientific visualization. Duscher founded the Science Communication Lab in 2015, focusing on innovative visual communication for scientific topics, and serves as a Principal Investigator at the Kiel Science Communication Network (KSCN) since 2021. His research explores: Information Design : Creating visual frameworks for complex scientific data Scientific Visualization : Developing interactive formats for oceanography and environmental science Experience Design : Studying impact processes in science communication Interdisciplinary Collaboration : Bridging art, design, and marine science His publications demonstrate a consistent focus on digital media evolution , interdisciplinary communication , and experimental visualization techniques , with recent works emphasizing science-art collaborations and immersive educational formats. Awards include: Information is Beautiful Award Gold (2019) German Design Award in Gold (2016, 2019) Red Dot 'Best of the Best' (2014) Innovation Award of Kiel (2017) He directs the Science Communication Lab and co-leads transdisciplinary projects through KSCN, a consortium involving Muthesius Academy, Leibniz Institute, and Kiel University. His Future Ocean Explorer project developed interactive exhibition technologies.

Katrin AngerbauerView profile

Researcher

• Human-Computer Interaction (HCI)
• Accessibility in Visualization
• Virtual Reality (VR)
• +4 more

Katrin Angerbauer is a Researcher at the Institute for Visualization and Interactive Systems (VISUS) at the University of Stuttgart, Faculty of Computer Science. Her work bridges Human-Computer Interaction (HCI) , Accessibility in Visualization , and Immersive Technologies . She contributes to empirical studies on Virtual Reality (VR) , Augmented Reality (AR) , and 2D/3D visualization techniques , focusing on user experience, attention guidance, and inclusive design.

Daniel SonntagView profile

Professor

• Intelligent User Interfaces
• Natural Language Processing
• Information Retrieval
• +7 more

Prof. Dr.-Ing. Daniel Sonntag serves as Scientific Director of Interactive Machine Learning at the German Research Center for Artificial Intelligence (DFKI) and holds an Endowed Chair of Applied Artificial Intelligence at University of Oldenburg. He leads multiple significant research initiatives including No-IDLE (Interactive Deep Learning Enterprise), MASTER (Mixed reality ecosystem for teaching robotics), Ophthalmo-AI (intelligent eye care diagnostics), pAItient (AI applications in medicine), and XAINES (explainable AI with narratives). His research spans intelligent user interfaces, natural language processing, information retrieval, dialogue systems, common-sense modeling, and explainable machine learning methods for cognitive computing. His work particularly focuses on multimodal-multisensor interfaces for medical and health systems and Industry 4.0 applications. His research has had industrial impact, with SmartWeb's multimodal interaction design forming the technical infrastructure for Apple's Siri. His recent publications demonstrate strong trends in medical AI applications, particularly in eye tracking, radiology report generation with enhanced interpretability, and interactive federated learning frameworks. His work consistently bridges theoretical AI advances with practical medical and industrial applications. German High Tech Champion Award (2011) As a principal investigator, Sonntag leads national and European projects funded by the Federal Ministry of Education and Research, Federal Ministry for Economic Affairs and Energy, Federal Ministry of Health, and Horizon Europe. He has supervised numerous researchers including Michael Barz, Jan Zacharias, and Alexander Prange across multiple projects. His research group has successfully transitioned technologies to industry, with former researchers joining companies like Apple, Wacom, and Semvox. Sonntag's laboratory work centers on the Interactive Machine Learning department at DFKI, with strong connections to medical institutions and industry partners. His team develops cognitive assistance systems, mixed reality applications for smart factories, and AI-based diagnostic support tools, particularly in ophthalmology and radiology.

• Mathematical morphology
• Fuzzy set theory and bipolar fuzzy sets
• 3D image interpretation and computer vision
• +7 more

Isabelle Bloch is a full Professor at Télécom Paris (Institut Polytechnique de Paris) and Emeritus Professor at the University of Bordeaux . She heads the Image, Modeling, Analysis, Geometry, Synthesis (IMAGES) research team within the Information Processing and Communication Laboratory (LTCI) in the Image, Data, Signal (IDS) Department . Education & Affiliations Professor – Télécom Paris, Institut Polytechnique de Paris (current) Professeure Émérite – University of Bordeaux (honorary) Research Interests Her work lies at the intersection of computer science, applied mathematics and medicine . Core themes include mathematical morphology , fuzzy and bipolar logics , 3-D image interpretation , discrete 3-D geometry & topology , information fusion , structural pattern recognition , spatial reasoning and medical imaging . Recent projects extend these concepts to explainable AI , argumentation theory , computational musicology and robotic surgery guidance . Scientific Awards Blondel Medal (2008) – awarded by the French Electrical & Electronics Engineering Society to outstanding young scientists. Grants & Collaborative Projects While specific grant numbers are not listed in the text, Prof. Bloch coordinates and participates in large-scale interdisciplinary projects funded by national (ANR) and European programs, spanning medical AI, pediatric oncology imaging, neuro-informatics and ethical AI. Labs & Teams She leads the IMAGES team (≈ 25 researchers) inside the LTCI – a joint research unit of Télécom Paris and CNRS. The group develops theory and open-source software in mathematical morphology, deep learning and symbolic AI, and collaborates closely with clinical partners at Necker–Enfants Malades Hospital, AP-HP and Gustave Roussy.

• Human-Computer Interaction
• Tangible Interfaces
• Musical Interaction
• +5 more

Dr. Sergi Jordà is a Senior Researcher and Associate Professor at the Music Technology Group of Universitat Pompeu Fabra (UPF) in Barcelona. He obtained his B.S. in Fundamental Physics (1986) and PhD in Computer Science and Digital Communication (2005) from UPF. He leads the Music & Advanced Interaction (MAIn) team and teaches courses in Computer Music, Audio Signal Processing, Human-Computer Interaction (HCI), and Interactive Media. In 2011, he joined the tenure-track faculty at UPF. Research Interests Jordà's research focuses on the intersection of Human-Computer Interaction (HCI) and tangible musical interfaces , including applications in education, collaborative music creation, and brain-computer interfaces . His work explores how tabletop interfaces and visual feedback can enhance intuitive instrument design and real-time performance. He is best known for co-inventing the Reactable , a tangible tabletop musical instrument that gained global recognition after being used by Icelandic artist Björk in her 2007-08 world tour. Scientific Awards Prix Ars Electronica Golden Nica (2008) MIDEM Hottest Music Biz Start-Up Award (2008) Yellow Pencil, D&AD Design Awards (2008) Rolling Stone Magazine's Hot Instrument of the Year (2007) Premi Ciutat de Barcelona (1999, 2007) Möbius International Award (2001) Innova Business Ideas Contest (2008) Projects and Grants He has participated in over 30 international scientific committees, including chairing TEI'13 (Tangible, Embedded and Embodied Interaction Conference) . Jordà has secured funding from the European Commission and Spanish government for six research projects, two as Principal Investigator (IP). In 2009, he co-founded the spin-off company Reactable Systems , which launched Reactable Mobile for iOS devices in 2010.

• Machine Learning
• Natural Language Processing
• Multimedia Systems
• +3 more

Liao Lizi is an Assistant Professor and Lee Kong Chian Fellow at Singapore Management University's School of Computing and Information Systems. She received her Ph.D. from the National University of Singapore under Professor Tat-Seng Chua. Her research explores the intersection of Machine Learning, Natural Language Processing, and Multimedia, focusing on developing conversational AI systems. Key areas include: Proactive conversational agents that anticipate user needs Multimodal conversational search and recommendation systems Task-oriented dialogue frameworks Human-machine collaborative systems Emotional support and empathetic response generation Her publications demonstrate a strong focus on advancing conversational AI through novel architectures for dialogue planning, multimodal understanding, and knowledge-enhanced generation. Recent work shows increasing emphasis on LLM optimization, financial reasoning benchmarks, and emotional intelligence in dialogue systems. Scientific Awards: Lee Kong Chian Fellowship Google South Asia & Southeast Asia Research Awards 2023 She leads the CoAgent Lab and advises multiple PhD students including recipients of the SMU Presidential Doctoral Fellowship. Current teaching includes Visual Analytics for Business Intelligence (IS428) and Text Analytics and Application (ISSS609).

• Human-Computer Interaction
• 3D User Interfaces
• Gesture Recognition
• +3 more

Dr. Ravin Balakrishnan is a leading figure in Human-Computer Interaction at the University of Toronto, Canada. With over 163 publications from 1994-2023, his work spans 3D interfaces , gesture recognition , mobile computing , and collaborative systems . He received the CHCCS 2020 Achievement Award for his contributions. Key research areas: Human-Computer Interaction, 3D User Interfaces, Tactile Displays, Mobile Computing Major awards: CHCCS 2020 Achievement Award Collaborators: Tovi Grossman, Daniel Wigdor, Karan Singh Publication Trends (2023-2006): 2023: Interactive camera robots for video capture 2022: Swarm robotics for physical demonstrations 2021: Drone tour interfaces and VR navigation 2020: Telepresence drones and volumetric displays 2019: Multimedia education tools 2016: Dual-screen interaction and tactile feedback 2011: Curve sketching and children's interfaces 2008: Spherical displays and tactile widgets 2006: Volumetric display techniques His work bridges academic research with real-world applications in education, accessibility, and collaborative environments. Publications in top venues like CHI, UIST, and ACM Transactions demonstrate sustained impact in interaction design.

Yuan GaoView profile

Associate Professor

• Human-Computer Interaction
• Technology Acceptance Model
• User Interface Design
• +1 more

Yuan Gao serves as Associate Professor of Information Technology Management at Ramapo College of New Jersey's Anisfield School of Business, where he has taught since 2000. His academic work bridges technology design and user behavior with emphasis on educational and commercial digital systems. Dr. Gao earned his B.L. from Fudan University (Shanghai), M.A. from Brooklyn College (C.U.N.Y.), and Ph.D. from Baruch College (C.U.N.Y.). His research specialization includes: Human-Computer Interaction principles Technology Acceptance Model (TAM) applications User Interface Design methodologies E-Commerce behavioral dynamics Publication trends reveal consistent investigation of technology adoption barriers across domains: e-commerce (trust modeling, interactivity effects), e-government (cognitive factors), and educational technology (Moodle, clickers). His work critically examines the misalignment between industry demand for IS professionals and declining student enrollment, while advancing TAM through cross-cultural studies. No scientific awards are documented in the profile. Teaching responsibilities include Principles of Information Technology, Database Management Systems, and Managing Information Systems, though specific student advising or grant activities remain unreported.

Ivy K. Y. WooView profile

Researcher

• Cryptography
• Privacy
• Computer Security
• +2 more

Ivy K. Y. Woo is a Doctoral Researcher (academic rank: Researcher) in the Department of Mathematics and Systems Analysis at Aalto University, Finland. She is an active member of the Algebra and Discrete Mathematics research group, collaborating with principal investigators including Russell W.F. Lai and Chris Brzuska on advanced cryptographic protocols. Her research concentrates on Cryptography and Privacy with specialized expertise in lattice-based constructions, anonymous transaction systems, and steganography. Key focus areas include traitor tracing mechanisms, functional encryption schemes, Learning With Errors (LWE) assumptions, and privacy-preserving technologies for blockchain applications. Her methodology integrates theoretical cryptography with practical security implementations, particularly addressing leakage resilience and sustainable anonymity systems. Analysis of her 10 recent publications (2022-2025) reveals dominant research trajectories in lattice-based cryptography (70% of output), with significant contributions to traitor tracing, attribute-based encryption, and obfuscation techniques. Parallel streams explore blockchain privacy (20%) through transaction graph analysis and sustainable ring signatures, plus steganographic methods (10%) for natural data hiding. Her work consistently targets high-impact venues including ASIACRYPT, CRYPTO, and Privacy Enhancing Technologies Symposium. Scientific recognition includes: The Andreas Pfitzmann - PETS Best Student Paper Award Runner Up 2022 for "On Defeating Graph Analysis of Anonymous Transactions" Woo maintains active research partnerships within Aalto's cryptography ecosystem, particularly through the Algebra and Discrete Mathematics group. Her current projects involve lattice-based solutions for multi-authority attribute encryption and leakage-resilient cryptographic primitives, with several 2025 publications indicating ongoing high-productivity collaboration with international research teams.

John CosmasView profile

Professor

• Telecommunications
• Digital Media Systems
• 5G Technology
• +7 more

Professor John Cosmas is a leading academic in digital media and broadcast networks at Brunel University London, within the College of Engineering, Design and Physical Sciences. He earned a BEng in Electronic Engineering (1978) from Liverpool University and a PhD in Image Processing (1987) from Imperial College, following industrial roles at Tube Investments and Fairchild Camera. His research spans 5G, Internet of Radio Light (IoRL), and convergence of broadcast/telecom networks. 2006-2008: PLUTO (530K EU project) 2004-2005: INSTINCT (750K EU project) 2000-2001: SAMBITS (250K EU project) His work integrates architectural and electronic design for radio-light networks in smart homes/museums, with recent focus on tactile internet and tele-surgery applications. Over 150 publications and supervision of 20+ PhD students highlight his impact in: 5G/Tactile Internet Antenna & Coverage Optimization Cultural Heritage Multimedia He has served as Associate Editor for IEEE Transactions on Broadcasting since 2006 and chairs IEEE symposia globally. His students now lead projects in 5G, IoT, and network management.

Mircea LunguView profile

Associate Professor

• Software Engineering
• Virtual Reality
• Software Systems
• +4 more

Mircea Lungu is an Associate Professor in Software Engineering at the IT University of Copenhagen. His research focuses on software ecosystems, software architecture, technical debt management, and immersive technologies for software development. He actively contributes to academia through publications, projects, and teaching. Affiliation: IT University of Copenhagen Academic Rank: Associate Professor Research Interests: Mircea explores the intersection of software engineering and virtual reality through projects like Immersive Software Archaeology , which leverages 3D environments for legacy system analysis. His work also addresses educational paradigms in software engineering, emphasizing live systems and experiential learning. Project Highlights: He leads the HPL-PATHS initiative (2023–2026) on hyper-personalized language education and collaborates on the ISA project (2020–2024) for virtual reality-based software exploration. Publication Trends: Recent work combines virtual reality with software engineering challenges, including collaborative exploration tools, technical debt visualization, and immersive analytics. His academic output spans conference proceedings, journal articles, and systematic reviews. Contact: Email: mlun@itu.dk