Terje Brasethvik is an Associate Professor at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). His research focuses on ontology engineering, semantic modeling, and information systems, with a strong emphasis on text mining and knowledge representation. He earned his doctoral degree from NTNU in 2004 with a dissertation on conceptual modeling for document retrieval. His work spans ontology relationship learning, collaborative healthcare systems (e.g., EigenJournal), and enterprise systems. Notable contributions include hybrid approaches to ontology learning, semantic web technologies, and empirical evaluations of conceptual models. Brasethvik has participated in international conferences and workshops, including the First International Workshop on Innovative Internet Information Systems (1998) and the International Symposium on Electronic Personal Health Records (2006). His publications highlight interdisciplinary applications in healthcare informatics, data mining, and collaborative platforms. Brasethvik has co-authored reports on semantic enrichment for system interoperability and contributed to educational initiatives integrating peer review in IS courses.
Rebecca Schreib serves as an Assistant Teaching Professor and Director of Undergraduate Studies in Rice University's Department of Computer Science. She holds a Ph.D., M.S., and B.S. in Computer Science from Rice University (2019, 2015, 2014 respectively). Her research focuses on computer science education, virtualization, and embedded runtime systems. Her educational background includes a doctoral emphasis on designing personalized interactive learning tools for large introductory courses. Key research contributions include MemStep (2024), collaborative computational thinking courses (2020), and automated assessment systems (2016–2017). Her work spans both educational technology and embedded systems, with a focus on bridging theory-practice gaps in programming education while advancing runtime system reliability for constrained environments. She has developed tools that enhance student engagement and automated systems for testing and memory management. While no scientific awards are listed, her publications reflect sustained innovation in educational technology and embedded computing since 2012. Her advising and grant activities are not explicitly documented here. She contributes to Rice's undergraduate program infrastructure through her directorship role.
Dr. Justin Needle is a Senior Lecturer in Health Services Research & Policy at the School of Health Sciences, City, University of London. He has been affiliated with the institution since 2006 and currently serves as the Programme Director for the MSc Health Policy. He previously led the Centre for Allied Health Professions (AHP) Research and directed the MSc Allied Health Professions Clinical Leadership programme until 2012. Education: PhD in Philosophy, University of Dundee MPhil in Logic, Text and Information Technology, University of Dundee MSc in Social Policy and Planning, London School of Economics (LSE) MA (Hons.) in Philosophy, University of Cambridge Postgraduate Certificate in Academic Practice, City, University of London Postgraduate Certificate in Economics, Birkbeck, University of London Research Interests: Dr. Needle's research focuses on health policy analysis, telemental health, and systematic reviewing and evidence synthesis. His work explores integrated care models, the role of allied health professionals in health promotion, and the application of economic evaluation in public health. He has contributed significantly to understanding mental health service delivery, particularly during the pandemic, and quality of life for people with aphasia. Publication Trends: His recent publications (2020–2023) show a strong emphasis on telemental health, particularly its implementation during the pandemic, user experiences, and effectiveness across different populations. He frequently employs systematic and realist review methodologies. Earlier work includes research on allied health professions, optometry practice, and public health economics. Scientific Awards: President’s Award for Excellence in Learning and Teaching (2017) Senior Fellow of the Higher Education Academy (SFHEA) Advising and Grants: Dr. Needle is a Category A PhD supervisor and has advised students on topics such as consultant therapeutic radiographers, public attitudes toward Saudi healthcare, and end-of-life care policy. He has secured research grants from NIHR SDO and the Nuffield Trust, focusing on allied health professionals and therapeutic practice. He also serves as an external examiner for health care management programmes at the University of Surrey. Labs and Research Groups: He is a principal collaborator in the Centre for Health Services Research and has worked with leading academics from UCL and City, University of London. His research is closely tied to the Health Policy, Leadership and Management Group, where he serves as Group Lead.
Gruia-Catalin Roman is a Professor in the Department of Computer Science at the University of New Mexico, within the College of Engineering. He has maintained a long-standing and impactful career in computer science research and education, with a focus on mobile computing, distributed systems, and the Internet of Things. His work bridges theoretical foundations and real-world applications, particularly in sensor networks and smart environments. Ph.D., Computer and Information Sciences, University of Pennsylvania, 1976 M.S., Computer and Information Sciences, University of Pennsylvania, 1974 B.S., Computer Science and Engineering, University of Pennsylvania, 1973 Roman's research interests center on enabling natural, responsive, and personalized interactions between people and smart environments. He explores middleware, formal methods, and human-centered computing to support IoT, mobile systems, and distributed applications. His work emphasizes paradigm shifts in how users interact with technology, particularly through spatial characteristics, augmented reality, and context-aware automation. The recent articles reflect a strong trajectory toward intelligent, user-aware IoT systems. Themes include conflict prediction, seamless automation, AR-based control, and abstraction layers like the Space Broker. These works demonstrate a shift from device-centric to human-centric computing, leveraging machine learning, middleware, and distributed algorithms to reduce user cognitive load and enhance personalization. SenSys 2022 Test of Time Award for early efforts to introduce sensor networking technology into clinical practice Roman has supervised 19 doctoral students, many of whom have pursued academic careers. He has secured significant research funding, including an NSF grant on context-assisted interactions in IoT with UT Austin. His leadership extends to organizing flagship conferences such as ICSE 2005 and FSE 2010, and serving on editorial boards of top software engineering journals. He is known for his innovative teaching, mentoring, and advocacy for active learning and multidisciplinary collaboration. Roman leads the Mobile Computing Laboratory (MobiLab), where students and researchers prototype and evaluate IoT interaction paradigms. The lab explores smart glasses, QR-based interfaces, and spatial control algorithms. His work often involves collaborations across institutions and disciplines, reflecting his commitment to impactful, real-world computing solutions.
Dr. Camila Bruder is a Researcher at the Max Planck Institute for Empirical Aesthetics in the Department of Music, where she has been working since completing her PhD in 2025. Her research focuses on aesthetic preferences, music cognition and perception, and singing performance, with particular expertise in voice preferences and the relationship between music and language. Dr. Bruder's educational background spans multiple disciplines, reflecting her interdisciplinary approach to music research. She holds a Dr. phil. from Freiburg University of Music (2025), a Master of Arts in Systematic Musicology from Universität Hamburg (2014-2018), a Bachelor's degree in Music - Singing from the State University of Sao Paulo (2009-2013), a Master of Sciences in Human Physiology from the University of Sao Paulo (2005-2007), and a Bachelor's degree in Biology from the University of Sao Paulo (2000-2004). Her research examines how humans categorize acoustic information, particularly focusing on the boundaries between music and speech, and investigating the factors that influence singing voice preferences. She has developed innovative methodologies for measuring individual differences in aesthetic judgment of voices, demonstrating that appreciation of singing and speaking voices is highly idiosyncratic. Her work bridges empirical aesthetics, cognitive psychology, and musicology, with a particular emphasis on both perceptual and acoustic features of vocal expression. Analysis of her recent publications reveals a consistent focus on voice perception across multiple contexts - from singing performance to lullabies to synthetic voices. Her research shows that perceptual features (rather than purely acoustic measurements) better predict singing voice preferences, and that classical singers demonstrate proficiency across multiple singing styles. She has also contributed to large-scale cross-cultural research on universal features of music and speech. Degree completion grant from Universität Hamburg (2017/2018) Forumpreis für hervorragende Hausarbeit from Forum Musikwissenschaft an der Universität Hamburg (2018) Music Department's Award of Excellence for Bachelor Thesis in Music (2013) Research scholarship from CAPES, Brazil (2006-2007) Dr. Bruder has developed the CoVox dataset of contrasting vocalizations, which provides valuable resources for researchers studying voice perception across genres and contexts. Her work on lullaby vocal qualities contributes to developmental psychology and cross-cultural studies of infant-directed communication. She collaborates extensively with researchers across disciplines, including prominent figures like David Poeppel and Patrick Larrouy-Maestri.
Julia Merrill serves as Adjunct Professor at the University of Kassel's Institute of Music and Senior Research Fellow in the Music Department at the Max Planck Institute for Empirical Aesthetics since 2014. Her academic journey includes a Habilitation in Musicology (2018, University of Kassel), PhD in Cognitive Science (2013, University of Potsdam), Diploma in Speech Science (2010, Martin Luther University Halle-Wittenberg), and Diploma in Church Music (2004, University of Church Music Heidelberg). Habilitation in Musicology, University of Kassel (2018) PhD in Cognitive Science, University of Potsdam (2013, summa cum laude) Diploma in Speech Science, Martin Luther University Halle-Wittenberg (2010) Diploma in Church Music, University of Church Music Heidelberg (2004) Merrill's research centers on the psychological and physiological dimensions of musical aversion, with groundbreaking work on disliked music's emotional and bodily impacts. Her concert research examines physiological synchrony during live performances, while vocal studies explore the speech-song boundary and aesthetic evaluation of voices. Current projects include investigating perceived versus felt emotions in music and analyzing pandemic-era shifts in musical engagement. Her publication trends reveal a methodological evolution from lesion studies and fMRI toward ecological concert research and psychophysiological measurement. Recent work emphasizes mixed-methods approaches combining self-report with cardiac/respiratory monitoring, particularly regarding musical dislikes and live audience experiences. No scientific awards are explicitly documented in available materials. Merrill has served as guest professor at Martin Luther University Halle-Wittenberg (2015-2016) and edited conference proceedings for the International Association for the Study of Popular Music. Current externally funded work includes the INHABIT Artist-in-Residence program at the Max Planck Institute. She collaborates extensively on interdisciplinary projects spanning music cognition, neuropsychology, and empirical aesthetics. Her laboratory work focuses on the Music Department at the Max Planck Institute for Empirical Aesthetics, where she leads research on disliked music and concert experiences. Current team initiatives include the Musicovid international research network examining pandemic impacts on musical behavior and projects studying physiological synchrony during ensemble singing.
Dr. Michel van Genderen serves as a Researcher in the Department of Intensive Care at Erasmus MC's Erasmus School of Medicine, Rotterdam. His work focuses on advancing critical care through innovative research in mechanical ventilation protocols, AI integration, and sustainable ICU practices. With 69 research outputs including 50 articles and 7 reviews, he actively contributes to European critical care initiatives. His research spans Intensive Care Medicine , AI applications in critical care , and environmental sustainability . Key interests include developing standardized data models for ICU networks, optimizing mechanical ventilation strategies, and implementing large language models for clinical decision support. Recent work examines green ICU initiatives from multiple stakeholder perspectives and leverages GPT-4 to improve patient understanding of radiology reports. Analysis of his 15 most recent publications reveals strong emphasis on data standardization for European ICU networks , AI-driven clinical decision tools , and sustainable critical care practices . His work consistently bridges technical innovation with practical clinical implementation, particularly in mechanical ventilation optimization and pandemic response protocols. Dr. van Genderen has supervised at least two graduate students and participates in multi-center collaborations across Europe. His research receives significant attention with news mentions and Mendeley readership. Current projects include the SWITCH study on ventilation strategies and development of the Common Data Model for Intensive Medicine Data Space in Europe. He contributes to critical care innovation through participation in European research networks focused on data interoperability and sustainable healthcare infrastructure. His work on "The green ICU" examines environmental sustainability from healthcare professional, procurement specialist, and regulatory perspectives.
Woldaregay, Ashenafi Zebene is a researcher at UiT The Arctic University of Norway, affiliated with the Faculty of Health Sciences and the Department of Clinical Medicine. His work bridges digital health, artificial intelligence, and clinical applications, particularly in diabetes management and infectious disease surveillance. He is a key contributor to the EDMON (Electronic Disease Surveillance and Monitoring Network) project, which leverages self-recorded health data from people with Type 1 diabetes for early outbreak detection. PhD in Digital Health / Health Informatics (2021) Master’s in Electronic Disease Surveillance (2016) His research focuses on applying machine learning, data science, and AI to solve pressing healthcare challenges. Key areas include blood glucose pattern analysis in diabetes, anomaly detection, mHealth adoption, wearable technology, and syndromic surveillance. He has developed models for infection detection, surgical risk prediction, and deidentification of clinical text. His work emphasizes real-world applicability, patient engagement, and data privacy. The most recent articles show a strong trend toward transformer models, synthetic data, and instruction-guided NLP in clinical contexts, alongside continued work in mHealth usability, caregiver support, and personalized health monitoring. His publications span journals in health informatics, medical informatics, and digital health, reflecting interdisciplinary collaboration. Scientific contributions include: Development of the EDMON system for real-time infection monitoring Creation of datasets for wearables and mHealth motivation factors Systematic reviews on reinforcement learning in diabetes and AI in healthcare security Innovation in cluster detection algorithms (K-CUSUM) for outbreak detection While direct information on grants and advising is not provided, his role as a doctoral candidate and co-author on numerous student-led studies suggests involvement in research mentoring. He collaborates extensively with researchers such as Gunnar Hartvigsen, Eirik Årsand, and Karl Øyvind Mikalsen, indicating membership in a large, active digital health research group. He is involved in a multidisciplinary research lab focused on digital health innovation, mHealth systems, and AI-driven clinical decision support. The team works on real-time monitoring, data privacy, and user-centered design of health technologies, with applications in chronic disease management and public health surveillance.
Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.
Esma Aïmeur is a Full Professor in the Department of Computer Science and Operational Research at the Faculty of Arts and Sciences, University of Montreal. She directs the Artificial Intelligence and Cybersecurity Laboratory and serves on multiple advisory boards including the Data Protection Committee of the University of Montreal. PhD in Artificial Intelligence from University of Paris 6 Key architect of Montreal Declaration of Responsible AI (2018) Co-editor for Frontiers in AI special issues Her research focuses on privacy-preserving AI and responsible cybersecurity , particularly examining: AI ethics in socio-ecological transitions Behavioral aspects of privacy vs disclosure Fake news detection using multimodal systems Secure recommender systems design Phishing detection frameworks Privacy-by-design in mobile applications Recent publications address LLM applications in scam detection , generative AI bias mitigation , and personality-aware recommendation systems . She actively collaborates with international institutions through the CRIHN center and IMC2 institute. Scientific contributions include: Program co-chair for FPS Symposium (2021) Keynote speaker at World AI Cannes Festival (2024) Founding member of AIforAI workshop (2021) Her 25+ years of supervision have produced significant research in: Privacy-preserving machine learning Cybersecurity education games Data protection in social networks AI ethics frameworks
Allmin Susaiyah is a University Researcher at Eindhoven University of Technology (TU/e), affiliated with the Mathematics and Computer Science school and the Eindhoven MedTech Innovation Center (e/MTIC). Her work bridges Security and Process Analytics research groups, focusing on AI-driven health technology solutions that transform complex data into actionable behavioral insights for personalized health management. Dr. Susaiyah holds a Master of Science degree and completed her PhD at TU/e in 2024 with the dissertation "Insight Generation and Recommendation: Driving Behavior and Systemic Change," which explored unstructured/structured data integration for behavioral interventions. Her research expertise spans Artificial Intelligence, Machine Learning, and Health Informatics, with specialized focus on Wearable Computing and Natural Language Processing for health self-management systems. Her scientific contributions emphasize user-centered AI, particularly in developing neural network models that adapt to individual preferences and feedback mechanisms. Key innovations include smart insight selection from wearable devices, privacy-preserving text mining, and reinforcement learning frameworks for lifestyle simulation, all targeting practical health behavior change through computational methods. Analysis of her 15 most recent publications (2021-2025) reveals an evolving trajectory from foundational behavior insight mining frameworks toward advanced zero-shot learning for medical event logs and privacy-aware health analytics. This progression demonstrates increasing sophistication in handling high-dimensional health data while addressing critical challenges in user preference modeling and domain-specific adaptation. No scientific awards or fellowships are documented in available sources. Public information does not indicate active student supervision or specific grant funding details, though her e/MTIC affiliation suggests participation in multidisciplinary health technology initiatives. Her work contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through AI applications for preventive healthcare and personalized medicine. Within TU/e's ecosystem, Dr. Susaiyah collaborates extensively through the Eindhoven MedTech Innovation Center—a strategic partnership between TU/e, Catharina Hospital, and Philips—where she integrates computer science methodologies with clinical practice to advance wearable-based health monitoring systems and intelligent recommendation engines for real-world healthcare settings.
Dr. Kinnis Gosha is the Hortenius I. Chenault Endowed Professor of Computer Science and Academic Program Director for Software Engineering at Morehouse College. He serves as Executive Director of the Morehouse Center for Broadening Participation in Computing and is the Principal Investigator for the NSF-funded Institute for African-American Mentoring in Computing Sciences (IAAMCS) . Dr. Gosha earned his B.S. in Computer Science from Albany State University , an M.S. in Computer Science and Software Engineering from Auburn University , and a Ph.D. in Human-Centered Computing from Clemson University . His research focuses on conversational AI , social media data analytics , computer science education , and culturally relevant computing , with over 60 peer-reviewed publications. He leads the Culturally Relevant Computing Lab , where 21 undergraduates have pursued doctoral degrees. His work includes collaborations with Google, Microsoft, and the National Science Foundation, notably developing virtual reality anti-bias training tools and SMS-based mentoring systems. Key awards include the 2019 RESPECT Conference Distinguished Paper Award and the 2014 Atlanta Magazine Groundbreakers Award .
Tuğba Süzek is an Associate Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University, Turkey. She holds a PhD in Bioinformatics from George Mason University (2012), an MSc from Johns Hopkins University (2000), and a BSc from Middle East Technical University (1997). Academic Background: BSc: Computer Engineering, Middle East Technical University (1993-1997) MSc: Bioinformatics, Johns Hopkins University (1998-2000) PhD: Bioinformatics, George Mason University (2003-2012) Research Interests center on bioinformatics , machine learning in healthcare , cancer genomics , transcriptomics , and molecular data analysis . She develops tools like TCGAnalyzeR for pan-cancer cohort discovery and CompCorona for coronavirus transcriptome analysis. Recent Articles span lung cancer pathogenesis, orthodontic malocclusion prediction, microbiome-host disease associations, and AI-driven diagnostic tools. Her work bridges cheminformatics and bioinformatics for drug repurposing. Scientific Awards ORISE Fellowship (2000) Patent Holder: System for Early Diagnosis of Skeleton Syndromes (2024) Advising and Grants include supervising student theses on AI in orthodontics and molecular cancer research . She leads EU-funded projects like Intraperitoneal immune modulation and TÜBİTAK grants for drug repurposing and neurodegenerative disease analysis .
Cristiana Cerqueira Leal serves as Assistant Professor in the Management Department at the University of Minho, Portugal, holding this position continuously since 2000. Her academic profile centers on behavioral finance and sustainable investment practices within management science. Her educational foundation includes a Ph.D. in Business Administration (Finance) from the University of Minho. Research Focus: Dr. Leal investigates psychological influences on financial decisions through three interconnected domains: (1) Behavioral Finance examining cognitive biases in individual investor trading patterns, particularly disposition effects and repurchasing behaviors in Portuguese markets; (2) Sustainable Finance analyzing ESG integration and green investment strategies; and (3) Nudging Applications developing choice architecture interventions for sustainable financial behavior using AI-driven approaches. Her recent work emphasizes media effects on crowdfunding success and sustainable transitions in higher education. Publication Trajectory: Her scholarly output shows increasing specialization in sustainable finance since 2020, with 7 of 13 publications (2020-2024) addressing ESG, nudging, and sustainability. The research demonstrates methodological diversity spanning journal articles, book chapters, and Portuguese-language academic works, with strong emphasis on practical applications for financial markets and policy design. Research Funding: Dissociando a solidão do envelhecimento (2023-2024): Fundação para a Ciência e a Tecnologia (FCT) grant PTDC/2022.07029.PTDC examining multimodal approaches to aging and loneliness Individual investors' buying and selling behaviour (2007-2011): FCT grant PTDC/GES/73012/2006 analyzing Portuguese stock market trading patterns
Uxia Carral Vilar serves as Assistant Professor in the Department of Communication Studies at the School of Humanities, Communication and Documentation, Charles III University of Madrid. Affiliated with both the University Institute on Gender Studies and the UC3M MediaLab research group, her work bridges communication theory, digital media analysis, and European political discourse through empirical investigation of social media dynamics. Her research critically examines disinformation ecosystems and AI-driven communication analysis , with particular focus on fact-checking alliances, social media toxicity in political contexts, and European public sphere formation. Recent work applies computational methods to analyze Spanish political discourse on Twitter and cross-national MEP interactions during crises like the pandemic, revealing how digital platforms reshape democratic engagement and institutional communication. Publication trends demonstrate increasing methodological sophistication in analyzing disinformation, with 2024 works pioneering AI tools for toxicity detection and examining fact-checking viability in Spain. Her scholarship consistently addresses European communication challenges, evolving from institutional chronicles (2017) to real-time analysis of far-right strategies (2020) and pandemic-era transnational dialogue (2021). Dr. Carral Vilar leads significant research initiatives including: VITAL-IoT cybersecurity project for personal IoT systems (2023-2025) Gender equality and human rights project in Mexico (2024-2025) Combating disinformation against refugees in Chile (2023-2025) Building Ukrainian fact-checkers' resilience against EU disinformation (2023) Multi-source prediction for COVID-19 policy decision-making (2020-2022) Her work within UC3M MediaLab fosters interdisciplinary collaboration on communication analytics, with current projects emphasizing practical interventions against disinformation while advancing methodological innovation through AI applications in social media research.
