Pauline Rafferty is a Senior Lecturer in the Department of Information Studies at Aberystwyth University. She holds a PhD from the University of Nottingham and has extensive teaching experience across multiple UK institutions including City University London and the University of Central England. Her research focuses on image analysis, multimedia retrieval, social tagging systems, and critical theory approaches to cultural representation. Education: - MA (Hons) from University of Glasgow - MSc from University of Strathclyde - PhD from University of Nottingham - PGCED from Northumbria University Research Interests: Dr. Rafferty's work bridges theoretical and applied information science, exploring topics like genre classification in music and digital archives, semiotic analysis of cultural artifacts, and critical approaches to knowledge organization systems. Her recent projects examine Spotify's playlist curation algorithms and challenges in printed music cataloging. Collaborations: Active collaborations include work with Abertec Ltd on digital cultural object management and organizing academic events like the 'Supporting Discovery of Archival Collections' workshop (2016). Teaching: Courses span information retrieval systems, digital humanities methods, and critical theory applications in librarianship.
Nicolas Rollet is a Lecturer at Telecom ParisTech within the Economic and Social Sciences (SES) department. He holds a PhD in Language Sciences (2012) from Sorbonne Nouvelle Paris 3 and an earlier thesis in chemistry (2011). His research focuses on interaction studies, conversation analysis, and social robotics, with applications in medical contexts, emergency communication, and human-robot interaction. He leads the Interaction, Technology, Activity (Interact) research team and is part of the Interdisciplinary Institute of Innovation (i3). Key projects include the APHA 114 initiative analyzing emergency interactions for aphasia accessibility, and contributions to the Encyclopédie de la parole collective since 2007, blending academic research with artistic performances. His work spans multimodal studies in medical settings (e.g., prenatal ultrasounds, emergency calls) and explores how technical devices integrate into social activities. Recent conferences include presentations on video calls for aphasia accessibility and trust dynamics in human-robot interactions. He teaches interactionist sociology and coordinates Human Training courses at Telecom Paris.
Dr. Markus Mühling is a Research Fellow in the Department of Mathematics and Computer Science at Philipps-Universität Marburg, working under Prof. Bernd Freisleben. His research focuses on deep learning applications for audio/video content analysis and biomedical data interpretation. He joined the group in 2015 and has contributed to projects involving wildlife monitoring, medical imaging, and heritage digitization. His work spans sensor networks, neural network architectures, and edge computing solutions for real-world challenges. Key research areas include: Deep learning for bioacoustic and visual species recognition Automated analysis of biomedical and histological images Edge-based AI systems for resource-constrained environments Content-based retrieval in video and image archives Publications highlight advancements in biodiversity monitoring (e.g., acoustic sensor networks), medical imaging (e.g., blood cell counting), and cultural heritage (e.g., organ tablature transcription). His work bridges theoretical machine learning with practical ecological and biomedical applications.
Nikolaus Korfhage is a Research Fellow at Philipps-Universität Marburg, affiliated with the Department of Mathematics and Computer Science within the Faculty of Mathematics and Computer Science. He is part of Prof. Bernd Freisleben's research group focusing on Distributed Systems and Intelligent Computing. His research emphasizes deep learning applications in image and video analysis, particularly visual similarity search and biomedical data analysis. Korfhage initiated his PhD in 2016 under Prof. Freisleben’s supervision, exploring computational methods for multimedia data processing. His work spans diverse domains including avian physiology analysis, automated music notation transcription, and historical video archive retrieval. Notable projects include the VIVA initiative for content-based video search and the DeepTab system for transcribing organ tablature music. Recent publications highlight advancements in cell segmentation, bat echolocation analysis, and transformer-based species recognition. Korfhage’s contributions bridge computer science and interdisciplinary fields like biology and musicology. He collaborates actively on tools like ElasticHash for semantic image search and MESA for synthetic DNA assessment. His research underscores innovation in both technical methodologies and real-world applications across multimedia, biomedical, and ecological domains.
Ruben Fernandez Beltran serves as an Assistant Professor in the Department of Computer Science and Systems Engineering at the Faculty of Informatics, University of Murcia, Spain. He holds a permanent faculty position (Profesor Permanente Laboral) and is actively affiliated with the Mobile Computing and Computer Vision research group. His academic credentials include a PhD from Universitat Jaume I (2016), where he completed his doctoral thesis titled Characterisation and adaptive learning in interactive video retrieval under the supervision of Dr. Filiberto Pla Bañón. This foundational work established his expertise in adaptive algorithms for multimedia systems. Research interests span Computer Vision, Mobile Computing, and Machine Learning, with specialized focus on interactive video retrieval and adaptive learning systems. His work bridges theoretical machine learning with practical mobile applications, developing resource-efficient computer vision solutions for constrained devices. Key contributions target real-time video analysis, user-centric retrieval interfaces, and optimization of visual processing pipelines for mobile platforms. As a core member of the Mobile Computing and Computer Vision research group, he contributes to advancing mobile visual computing through collaborative projects that integrate on-device processing with cloud-based analytics. Current initiatives emphasize context-aware video search frameworks and energy-efficient vision algorithms for smartphones and IoT devices.
Dieter Fellner is a Professor of Computer Science at Technical University of Darmstadt, Germany , and Director of the Fraunhofer Institute of Computer Graphics (IGD) . He also serves as Founding Director of the Institute of Computer Graphics and Knowledge Visualization at Graz University of Technology, Austria. His career spans multiple prestigious institutions including University of Bonn, Memorial University of Newfoundland, and University of Technology Braunschweig. Dr. Fellner's research focuses on algorithms integrating modeling and rendering , digital libraries , virtual/augmented reality , collision detection , and radio wave propagation simulation . His work in digital libraries led to a DFG-funded strategic initiative (1997-2005) involving 50 researchers annually across 21 groups. The 15 most recent articles highlight his expertise in 3D document modeling , stereoscopic projection , subdivision surfaces , and color quantization . His publications include influential textbooks like the German standard on computer graphics (1988) and Digitale Bibliotheken (2000). 2000 Fellow of the Eurographics Association Best Technical Paper Award (Günther Enderle Award) at Eurographics’98 2007 IST Advisory Group (ISTAG) Member for the European Commission 2019 Honorary Doctorate from University of Rostock Dr. Fellner actively participates in editorial boards of journals like Computer Graphics Forum , IEEE CG&A , and JOCCH , and serves on program committees for conferences such as Eurographics, VSMM, and ACM Web3D. His leadership roles include Chairmanship of the Eurographics Association (1999-2000) and Directorship of Fraunhofer IGD (since 2006).
Manfred Jürgen Primus is affiliated with the Faculty of Technical Sciences at the University of Klagenfurt , specifically within the Institute of Information Technology . His research focuses on Computer Science and Medical Informatics , particularly in Endoscopic Video Analysis and Human-Computer Interaction . Research themes: Medical video datasets, smoke detection in surgical footage, collaborative video retrieval systems Key technologies: Computer vision, machine learning, real-time image processing Applications: Surgical workflow optimization, medical education support Recent publications (2016-2018) demonstrate his work at the intersection of multimedia systems and healthcare, including advanced video analysis tools for laparoscopic surgery and endoscopic procedures. Despite a lack of explicit awards or student advisement records in the provided data, his contributions to Medical Imaging and Human-Computer Interaction are evident through technical publications and interdisciplinary collaborations.
Tomas Saorin Perez is a Professor at the Department of Information and Documentation within the Faculty of Communication and Documentation at the University of Murcia. His research focuses on metadata, semantic web, knowledge graphs, and collaborative platforms like Wikipedia and Wikidata. He holds a Doctorate (2006) from the University of Murcia with a thesis on library automation in the digital context. His expertise spans knowledge organization systems, information architecture, content management systems (CMS), SEO strategies, and digital publishing frameworks. He actively contributes to GLAM-Wiki initiatives, promoting cultural heritage digitization through Wikimedia projects. Recent research emphasizes quantitative analysis of encyclopedic data to measure cultural relevance (Wiki3DRank model), multilingual literary canon analysis, and pandemic-related structured data generation. His work bridges library science with computational methods, addressing challenges in digital content management and open knowledge ecosystems. Key projects include the ODiSEA International Research Data Registry and Wiki Loves Monuments, showcasing his commitment to institutional collaboration and open data innovation.
Daniel Cunliffe is an Associate Professor (Research and Development) at the University of South Wales, based in the Faculty of Computing, Engineering and Science. He holds a BA (hons) in Computing and Artificial Intelligence from the University of Sussex and a PhD from the University of Edinburgh. His research focuses on the intersection of minority languages and information and communications technology (ICT), particularly exploring how digital tools and platforms can support minority language preservation and revitalization. Education: PhD, University of Edinburgh BA (hons) Computing and Artificial Intelligence, University of Sussex Teaching Responsibilities: IS0S363 Web Development Fundamentals IS1S461 Designing and Implementing Interactive Systems IS2S566 Team Application Project and PPE IS3S664 Advanced Internet and Mobile Computing IY4T710 MSc Project His research investigates minority languages in the digital age, including their presence on platforms like TikTok, Twitter, Facebook, and YouTube. Key themes include social media dynamics, natural language processing for under-resourced languages, and the economic and policy aspects of minority language technology. Recent projects include developing a Welsh Natural Language Toolkit and analyzing the market for Welsh-language mobile applications. Publications highlight his contributions to understanding minority languages in digital contexts, with works featured in journals like New Media & Society , Computer Speech & Language , and book chapters in The Palgrave Handbook of Minority Languages and Communities . No scientific awards are explicitly listed, but his extensive publication record reflects sustained academic engagement. He advises MSc projects and collaborates on innovative language technology initiatives.
Eamonn Bell is an Assistant Professor in the Department of Computer Science at Durham University, specializing in digital humanities with a focus on the history of digital audio media, particularly the CD format and early computational applications in music studies. He holds a PhD in Music Theory from Columbia University (2019), where he completed his dissertation on 'The Computational Attitude in Music Theory' under Joseph Dubiel, and previously earned a joint honors degree in Mathematics and Music from Trinity College Dublin (2013). His research interests span digital humanities, media archaeology, and the intersection of computing history with musicology. Bell has conducted significant research on the CDLink platform developed by The Voyager Company, exploring how early web technologies enabled time-synchronized interactions with audio CDs. His scholarly work examines the historical development of digital audio formats, particularly the Compact Disc, and their cultural implications. Bell's publications reveal a consistent focus on the materiality of digital media, particularly how the CD format transformed music consumption and production. His research analyzes the technical specifications of CD encoding (including interleaving and error correction), the historical context of CD adoption, and the cultural narratives surrounding digital audio. He has also written extensively about AI's relationship to musical knowledge and creativity, situating contemporary discourse within historical contexts of computational approaches to music. Government of Ireland Postdoctoral Fellowship (2019) for 'Opening the 'Red Book': The digital Audio CD format from the viewpoint between musicology and media studies' Research funded by UK Research and Innovation (UKRI) and the Irish Research Council Bell maintains an active scholarly presence through his personal website and academic publications, contributing to ongoing conversations about digital preservation, media archaeology, and the historical understanding of contemporary digital music practices. His work bridges technical understanding of media formats with critical cultural analysis.
Dr. Longin Jan Latecki is a Professor in the Department of Computer and Information Sciences at Temple University. His research focuses on computer vision, medical imaging, digital geometry, and artificial intelligence. He has held editorial roles, including Associate Editor-in-Chief of Pattern Recognition and roles on the editorial boards of Computer Vision and Image Understanding and Journal of Imaging . He has organized events like the Asian Conference on Pattern Recognition and chaired the PhD Track in Artificial Intelligence. His research spans topics such as shape-based object detection, video mining, and robot mapping. Notable projects include the Shape-Based Image Search Engine and work on Well-Composed 3D Images . He has authored over 300 publications and advised numerous PhD students in areas like medical imaging, computer vision, and data mining. Dr. Latecki has collaborated on projects such as ClimatePub4KG for climate modeling and SciDMT for scientific mention detection. His work emphasizes practical applications, including dental imaging analysis, autonomous robotics, and multimedia transmission optimization. He teaches courses like Mathematical Concepts in Computing and Artificial Intelligence .
Ashraf A. Kassim is a Professor at the Singapore University of Technology and Design (SUTD) and serves as Associate Provost for the Office of Education and Innovation. He holds a PhD from Carnegie Mellon University and previously held positions including Professor of Electrical & Computer Engineering at the National University of Singapore (NUS), where he also served as Vice-Provost (Research) and Vice-Dean of Engineering. His industry experience includes research at Texas Instruments developing machine vision systems. His research spans computer vision , medical image analysis , machine learning , and deep learning . Key applications include diagnostic radiography, generative adversarial networks (GANs) for image synthesis, facial landmark detection, and attribute-based fashion retrieval systems. His work integrates advanced neural architectures with real-world challenges in healthcare and multimedia. Publications (170+ articles) emphasize deep learning-driven solutions: recent works focus on medical imaging (cell classification, radiograph analysis), generative models (text-to-image synthesis, GANs), and computer vision applications (facial analysis, fashion retrieval). Awards and Honors: Mendaki Foundation’s Anugerah Cemerlang (Academic Excellence Award) Institution of Engineers Singapore Award (2011) Public Administration Medal (Bronze, 2012) National Day Long Service Award (2018) NUS Annual Teaching Excellence Award Administrative service includes board memberships at Singapore Science Centre, Singapore Synchrotron Light Source, and Centre for Maritime Studies. He contributes to academic committees and journal editorial boards internationally.
Anestis Georgios is a Laboratory Teaching Staff member (EDIP) at the Technical University of Crete (TUC), affiliated with the School of Electrical and Computer Engineering. He is part of the TUC/MUSIC Laboratory (Distributed Multimedia Information Systems and Applications) and holds a Master's degree in Computer Engineering and Operations Research, alongside a Diploma in Electronics and Computer Engineering from TUC. His professional roles include permanent staff in the Distributed Multimedia Information Systems and Applications Laboratory (2004–2015) and an associate partner at the Computer Technology Institute’s eGovernment Division (2003). Education: Master of Engineering in Computer Engineering, TUC (2001) – Thesis: 'Designing an Information System to Support Virtual Communities of Users' (supervisor: Prof. Stavros Christodoulakis) Master of Science in Operations Research, TUC (2001) – Thesis: 'Development of a decision support system for multicriteria evaluation of IT qualifications' (supervisor: Prof. Nikolaos Matsatsinis) Diploma in Electronics and Computer Engineering, TUC (1997) – Thesis: 'Design and Implementation of a Boolean and Similarity Retrieval System on top of Relational Database Management Systems' (supervisor: Prof. Stavros Christodoulakis) Research Interests: Anestis focuses on multimedia systems, distributed architectures, decision support systems, and knowledge management. His work integrates pervasive computing, service-oriented architectures (SOA), and peer-to-peer (P2P) technologies to address challenges in cultural tourism, digital business ecosystems, and educational technologies. He emphasizes user-centered design principles and the semantic interoperability of systems. Article Trends: His publications span topics such as retrieval systems (REALM, 2024), pervasive gaming (Rollick games, 2023), and cultural tourism interactions (2006–2018). Early work (1998–2004) centered on distributed knowledge management and decision support frameworks, while recent contributions explore formal languages for location-based applications and theatrical learning experiences. Professional Contributions: Anestis has led or participated in EU projects like 'Digital Business Ecosystems' (2003–2006) and 'Caravan Next: Feed the Future' (2015–2019). He has developed platforms like the Skills Evaluator (2003–2006) for IT qualification assessment and SSLE for semantic service descriptions (2007). No awards are explicitly listed, but his projects reflect significant industry and academic impact. Labs/Teams: He contributes to the TUC/MUSIC lab, focusing on distributed multimedia systems and applications. His work bridges theoretical research with practical implementations in cultural heritage, smart tourism, and enterprise systems.
Evangelos Sakkopoulos is an Associate Professor at the Department of Informatics, University of Piraeus. He holds a PhD from the Department of Mechanical Engineering and Informatics at the University of Patras. His research interests include personalized software technology, mobile programming, web systems, and their applications in education, healthcare, maritime safety, and legal informatics. He has over 60 international publications and actively participates in EU technical committees for internal affairs regulations. His teaching portfolio includes postgraduate courses on Software Technology and undergraduate programming subjects like Java. Education PhD in Mechanical Engineering and Informatics from the Patras University of Technology (University of Patras Polytechnic). Research Interests Evangelos focuses on interdisciplinary research in: AI-driven cultural e-learning (e.g., LYRICEL system for song lyrics analysis). Privacy-preserving data mining techniques, including frequent itemset hiding and database anonymization. Mobile and web-based systems for healthcare monitoring (Care@HOME), maritime surveillance (Mobile Data Fusion), and government services (Olympus architecture). Natural Language Processing for legislative documents and low-resource languages. Personalized identity management solutions and secure digital service frameworks. Articles Trends Recent publications emphasize AI in education, privacy-protecting data algorithms, and mobile/web systems for critical sectors like healthcare and maritime safety. His work addresses challenges in legal informatics, cultural preservation, and EU digital standardization. Awards No scientific awards explicitly mentioned in the provided texts. Advising & Grants Evangelos has collaborated in European and national research programs, including projects on: Ethnicity/naturalization process digitalization (Greek Citizenship Test). Healthcare personnel rostering solutions. Cultural artifact damage assessment systems (Data Engineering for Materials Identification). Labs & Teams He contributes to the MODIP Quality Assurance Unit and participates in research teams developing systems like HappyCruise for maritime safety and OLYMPUS for secure digital identity management.
Victor Adriel de Jesus Oliveira is a Lecturer at the Department of Media and Digital Technologies , Institute of Creative Media and Technologies , St. Pölten University of Applied Sciences . He holds a PhD in Computer Science (2018) and MSc/BSc in Computer Science from Brazilian institutions. Research Focus: Haptics, 3D user interfaces, virtual reality, tactile communication systems, and tele-rehabilitation technologies. Projects: Involved in EU-funded initiatives like AniVision , CLEA , and IoT4LAC , focusing on smart data applications and environmental action. His recent publications emphasize multimodal visualization for facility management, sonification in rehabilitation, and data experience through comics. He contributes to IEEE and Springer conferences, bridging human-computer interaction and clinical applications .
