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Tomas Saorin PerezView profile

Professor

• Metadata and Resource Description
• Knowledge Organization Systems
• Semantic Web
• +7 more

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.

Longin Jan LateckiView profile

Professor

• Computer Vision
• Medical Imaging
• Digital Geometry and Topology
• +6 more

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 .

• Multimedia Systems
• Distributed Systems
• Decision Support Systems
• +3 more

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.

• Artificial Intelligence
• Citizen Science
• Semantic Web
• +4 more

Chrisa Tsinaraki is a Lecturer at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete. She specializes in interdisciplinary research areas including Citizen Science, Artificial Intelligence, Semantic Web technologies, and Data Management. Her work bridges technical innovation with societal applications, particularly in environmental policy, public health, and smart spaces. Her research portfolio includes contributions to the Web of Things (WoT), analyzing mobile apps during health crises, and leveraging citizen science for biodiversity conservation. She has collaborated with institutions like the European Commission’s Joint Research Centre (JRC) on projects involving spatial data analysis, semantic interoperability, and multimedia content management. Key Projects: CoCoMA (Content & Context-Aware Multimedia Systems), MoM-NOCS (Mobile Multimedia Nature Observation Management) Technical Expertise: SPARQL/XQuery integration frameworks, OpenAPI semantics, and ontology-driven data systems Her publications emphasize practical applications of emerging technologies in public sectors, policy-making, and crisis management. She has authored over 50 peer-reviewed articles, contributing to both technical advancements and policy-oriented analyses.

Samuel KozaitisView profile

Professor

• Image Processing
• Higher-order Statistics
• Infrared Imaging
• +5 more

Samuel Kozaitis is a Professor at Florida Institute of Technology in the Department of Electrical Engineering and Computer Science, College of Engineering and Science. His expertise spans Image Processing, Higher-order Statistics, and Infrared Imaging. He has contributed extensively to robotics, mechatronics, and environmental engineering through his research. Research interests include advanced image denoising techniques, robotic kinematics, nuclear energy applications, and environmental protection strategies. His work bridges theoretical foundations with practical implementations in fields like medical imaging and space exploration. Notable research trends include contributions to: Robotic systems and Stewart platform kinematics Nuclear fusion and energy sustainability Medical and thermal imaging enhancement Social media-driven traffic analysis Sensor fusion and multimodal imaging His publications span over two decades, with recent focus on space technology, renewable energy management, and autonomous systems.

Anastasia AilamakiView profile

Adjunct Associate Professor

• Database Systems
• Computer Architecture
• Scientific Data Management
• +4 more

Anastasia Ailamaki is an Adjunct Associate Professor at Carnegie Mellon University's School of Computer Science, Department of Computer Science. Since 2008, she leads the Data-Intensive Applications and Systems (DIAS) laboratory at Ecole Polytechnique Fédérale de Lausanne (EPFL). Her research focuses on database systems, computer architecture, and scientific data management. She is a co-founder of CMU's Database Group and a member of the Parallel Data Lab. Research Interests: Staged Database Systems Architecture-Conscious Query Processing Automated Database Design for Scientific Data Performance Optimization for Deep Memory Hierarchies Workflow Management and I/O Traffic Modeling Professional Activities: Program Chair, Workshop on Data Management on New Hardware (2006) General Chair, Workshop on Data Management on New Hardware (2005) Editorial roles for IEEE Data Engineering and ACM SIGMOD Teaching: Taught courses like Database Applications, Database Management Systems, and Hot Topics in Database Systems at CMU from 2001-2006. Students: Advised over a dozen PhD and Master’s students, including graduates at Intel, Google, and MIT.

Sakkopoulos EvangelosView profile

Associate Professor

• Personalized Software Technology
• Machine Learning
• Data Mining
• +9 more

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.

Jill TurnerView profile

Professor

• Medical Librarianship
• Health Informatics
• Evidence-Based Practice
• +5 more

Jill Turner is a Library Professor at the University of Detroit Mercy , affiliated with the School of Dentistry and serving as a liaison to the College of Health Professions . Her academic and professional responsibilities include public service, research support, and educational outreach. Education : Bachelor of Science in Nursing (University of Pittsburgh), Master of Library and Information Science (Wayne State University), Master of Arts in Liberal Studies (University of Detroit Mercy) Research interests span medical librarianship , evidence-based practice , nursing education , and culturally sensitive healthcare . Her work explores nonpharmaceutical patient anxiety interventions , digital health resources , and historical pandemic patterns . Publications highlight trends in health informatics , mindfulness interventions , caregiver support systems , and literature search accuracy . She integrates interdisciplinary education with library science to enhance clinical and academic resource accessibility. Advisory and professional roles include liaison work for Nursing , Physician Assistant , and Health Services Administration programs. Her career bridges library science , academic liaison services , and health education .

Juan Carlos Preciado RodríguezView profile

Associate Professor

• Web Engineering
• Data Intensive Systems
• Big Data
• +4 more

Juan Carlos Preciado Rodríguez is an Associate Professor of Computer Languages and Systems at the University of Extremadura (Spain), affiliated with the Quercus Software Engineering Group. He has held significant academic roles, including Deputy Rector for over 8 years. His research focuses on Web Engineering, Big Data, Machine Learning, and Smart Cities, with over 60 scientific publications. He founded Homeria Open Solutions SL and MetrikaMedia SL, two spin-offs from UEx. He has led multiple R&D projects, including 1 European, 1 national, and 1 regional initiative, and participated in 18 R&D contracts as Principal Investigator in 5 cases. He holds 2 national patents and actively contributes to academic and entrepreneurial ventures. His educational background includes a PhD, though specific details are not provided. Research interests span Model-Driven Engineering (MDE), Business Intelligence, and Data Visualization. Recent work includes applications in demand forecasting, smart cities, and educational data analysis. Notable projects involve leveraging data-driven approaches for university dropout prediction and optimizing vocational training programs using TOPSIS methodology. He has engaged in collaborative ventures such as SCPL (Social Cooperative Programming Language) and AutoCRUD for workflow automation. His work bridges software engineering with societal challenges, including unmanned aerial systems for smart city services and advanced visualization tools like LiveSankey. His contributions span both technical innovation and archaeological studies, reflecting interdisciplinary engagement.

• Social Network Analysis
• Machine Learning
• Medical Image Processing
• +7 more

Mehwish Nasim is a Lecturer in Computer Science at The University of Western Australia (UWA) and holds adjunct positions at the University of Adelaide and Flinders University. She is an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers and a member of the Equity and Diversity Committee. With 17+ years in technology, she has served as a Research Scientist at the University of Konstanz and a lecturer at the National University of Sciences and Technology (Pakistan). Her PhD from the University of Konstanz focused on inferring social relations in partially observable networks. Research Interests Her work spans social network analysis, machine learning, medical image processing, and health analytics. Current projects include predicting population-level events in Australia, detecting misinformation, modeling social media polarization, and improving decision-making via complex systems approaches. Grants & Funding Key grants include a Defence AI Research Network grant (~$100K), a Defence Innovation Partnership grant ($150K), and Flinders Impact Seed Funding ($10K) targeting vaccine misinformation in migrant communities. She also secured ACEMS grants for social media polarization studies and led proposals in wargame modeling and transnational research. Teaching She teaches courses such as Algorithms, Agents & AI (UWA), Data Engineering (Flinders), and Database Modelling. Past roles include lecturing at NUST and tutoring network dynamics at Konstanz. Media & Outreach Featured in 'Women in STEM' series (2022), Flinders News (2022), and CSIRO's Data61 spotlight (2021). She has been interviewed on disinformation campaigns and podcast discussions on 'fake vs fact' (ACEMS, 2020).

• Database Systems
• Human-Computer Interaction
• Collaborative Technologies
• +5 more

Dr. Dimosthenis Akoumianakis is a Professor at the Department of Electrical and Computer Engineering, School of Engineering, Hellenic Mediterranean University. He holds visiting professorships at Hellenic Open University, University of Derby (UK), and Oxford Brookes University (UK). His academic journey includes studies at the Universities of Huddersfield (BA, 1990) and Kent (MSc 1995, PhD 1999), where his thesis earned the IBM Best Thesis Award. His research focuses on collaborative technologies, human-computer interaction, accessibility, and networked music performance. He pioneered the MusiCoLab and DIAMOUSES frameworks for distributed music collaboration. Key contributions include work on digital materiality, virtual communities of practice, and eHealth interventions. He founded ISTLab (2006), a research unit active in EU-funded projects and Google’s CS4HS initiative. Dr. Akoumianakis has supervised 10 postgraduate students and advised doctoral candidates at Hellenic Open University and Catholic University of Louvain. He served as Head of the Department of Applied Informatics & Multimedia (2007–2009), Director of the postgraduate program "Informatics and Multimedia" (2012–2014), and Director of the Lattice research lab (2015–2019). His work integrates interdisciplinary approaches, blending computer science with social sciences to address challenges in collaborative systems and organizational practices. Notable achievements include editing journals like Virtual Community Practices and Social Interactive Media , co-authoring a monograph on collaborative systems, and contributing to EU standards for accessibility technologies. His research on digital traces, boundary spanning e-collaboration, and virtual settlements explores how digital artifacts shape organizational and cultural practices.

• Affective Computing
• Machine Learning
• Human-Computer Interaction
• +12 more

Subramanian Ramanathan is a researcher at the School of Computing, National College of Ireland , specializing in affective computing, multimodal behavior analysis, and human-computer interaction. His work spans machine learning, computer vision, and neuro-signal processing. Key research areas: Affective Computing, Deep Learning, Stress Detection, Depression Biomarkers Notable collaborations: Roland Göcke, Abhinav Dhall, Nicu Sebe His publications focus on: EEG-based cognitive load estimation Head motion pattern analysis for mental health Deepfake detection systems Audio-visual saliency prediction Transformers in behavioral modeling Stress detection via multimodal fusion Recent work includes medical imaging applications for autism detection and computational advertising systems using emotion recognition. He contributes to open science through dataset creation (SALSA, DECAF) and collaborative research in affective computing.

• Spatial Data Science
• Database Management
• Big Data
• +3 more

Dr. Kiki Adhinugraha is a Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Melbourne, Australia. He holds a PhD in Information Technology from Monash University and is certified as an Oracle 11g OCA DBA. His research focuses on Spatial Data Science, Database Management, and Big Data applications, particularly in GIS, spatial query processing, and spatial crowdsourcing. He teaches courses such as Programming Environment, Cloud-based Web Applications, and Database Fundamentals. His academic contributions span geospatial accessibility analysis, machine learning applications in public health (e.g., tracking pandemic impacts), and optimizing video compression and network scheduling. He has published widely on spatial data structures, including Voronoi diagrams for IoT networks and trajectory analysis. Notable works include studies on education accessibility in Melbourne and AI-driven approaches for analyzing ALS comorbidity trajectories. Teaching responsibilities include programming, web development, and database management courses. His research often bridges theoretical computing with practical applications in urban planning, transportation systems, and healthcare analytics. He collaborates on interdisciplinary projects combining GIS, machine learning, and data-driven methodologies.

Hasan OgulView profile

Associate Professor

• Computational Intelligence
• Health Informatics
• Bioinformatics
• +2 more

Hasan Ogul is an Associate Professor at the Department of Computer Science and Communication, Østfold University College. His research focuses on computational intelligence applied to health informatics, bioinformatics, text mining, and sensor data processing. He has held academic roles including a previous professorship at Baskent University's Department of Computer Engineering and a postdoc at Aalto University. His work spans interdisciplinary projects like AI4AfL (Artificial Intelligence for Assessment for Learning) and contributions to machine learning applications in medical diagnostics and bioinformatics. He is the author of multiple peer-reviewed articles and conference proceedings, with a strong emphasis on generative models, sensor data analysis, and computational biology. Education: PhD from Middle East Technical University (Turkey), postdoc at Helsinki University of Technology/Aalto University. Current courses include Digitalisation and Society (PhD level) and Evolutionary Computation (Master's level). Key Projects: AI4AfL aims to enhance learning through AI-driven assessment tools. His research groups focus on machine learning and its societal applications. He has contributed to conferences like IEEE SAMI and CBMS, showcasing work on infection prediction, microRNA targeting, and speech recognition systems. Publications: Over 30 peer-reviewed articles since 2018, covering topics from protein structure prediction to lecture video segmentation and breast cancer drug development. His work frequently appears in journals like Expert Systems with Applications, IEEE Access, and Sensors.

• Geropsychology
• Wellbeing and health
• Innovation expertise
• +9 more

Tuomas Leisti is a Lecturer and Doctor of Psychology (PsT) at Metropolia University of Applied Sciences, affiliated with the Wellbeing Team 3. His professional roles include teaching psychology and research methods, supervising Master's theses, and contributing to RDI (Research, Development, Innovation) projects. He holds certifications as a licensed psychologist and professional teacher (AmO), with proficiency in Finnish (native), English (excellent), Swedish (average), and German (basic). Leisti's research focuses on geropsychology, wellbeing and health, innovation expertise, cognitive psychology, and the philosophy of mind. His doctoral work explored the role of consciousness in decision-making, with prior experience in human-technology interaction. He is particularly interested in decision-making processes, problem-solving, and the metacognitive skills underlying these activities. Key projects include the Wellbeing Hybridist initiative (2021–2023) and the pan-European COMHOM project (2025–2028), which addresses homelessness through data-driven solutions. His research outputs span over two decades, emphasizing subjective image quality evaluation, cognitive modeling, and quantitative methodologies. Leisti's work integrates empirical and philosophical approaches, addressing topics such as qualia, decision heuristics, and the interplay between conscious thought and judgment. Despite no explicitly listed awards, his extensive publication record reflects sustained contributions to psychological and applied research fields.