Prof. Dr. Nuri Başoğlu is a Professor at Izmir Institute of Technology (IYTE). His educational background includes a BSc in Industrial Engineering from Boğaziçi University, and both MSc and PhD in Production Management from Istanbul University. Research Focus His research spans interdisciplinary domains with emphasis on: Technology Adoption : Healthcare systems, mobile services, and education. Innovation Processes : Sociotechnical systems, product design, and decision support. Information Systems : Strategic implementation and human-computer interaction. Recent publication trends (2010–2013) highlight technology diffusion in healthcare, including telemedicine, health informatics, and e-learning. Cross-cultural studies on mobile services and ERP optimization in manufacturing also feature prominently. No awards, grants, or supervised students are documented in the provided materials.
Professor Jonna Kuntsi is a leading researcher in developmental disorders and neuropsychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she holds a professorship in the Social, Genetic & Developmental Psychiatry Centre. With extensive training including BSc, MSc, and PhD from University College London and clinical experience at Great Ormond Street Hospital for Children, she has established herself as a prominent figure in ADHD research globally. Her research primarily focuses on attention deficit hyperactivity disorder (ADHD) and related conditions, with particular expertise in neurodevelopmental disorders, remote measurement technology applications, developmental trajectories, preterm birth associations, and the effects of physical activity on cognition and ADHD symptoms. Professor Kuntsi has pioneered the ADHD Remote Technology (ART) research programme, securing substantial funding including £4 million from the UK Medical Research Council and European Commission for innovative projects like ART-transition and ART-CARMA. Her publication record demonstrates consistent high-impact research across multiple domains of ADHD investigation, with recent work emphasizing digital phenotyping, remote monitoring technologies, and the developmental aspects of ADHD across the lifespan. This research portfolio shows a clear trajectory toward increasingly sophisticated technological approaches to understanding and managing ADHD. Co-Chair of EUNETHYDIS - the European Network for ADHD Member of the European ADHD Guideline Group (EAGG) Principal Investigator in International Multi-centre Persistent ADHD Collaboration (IMpACT) Steering committee member of ECNP ADHD across the Lifespan Network Steering committee member of ECNP Digital Health Applied to Clinical Research Network Professor Kuntsi actively collaborates with patient support organizations including ADHD Europe and the UK ADHD Information and Support Service (ADDISS), and with technology companies like Empatica and The Hyve. She serves as Chair of the PhD Subcommittee across Departments of Social, Genetic & Developmental Psychiatry and Biostatistics & Health Informatics, demonstrating her commitment to mentoring the next generation of researchers while leading multiple international research networks that advance both scientific understanding and clinical practice in ADHD.
Dr. Jason Bennett Thatcher is a Professor at Temple University in the Department of Management Information Systems at the Fox School of Business. He holds additional faculty appointments at the Technical University of Munich, Information Technology University-Copenhagen, and Hong Kong Polytechnic University. His research bridges human behavior and information technology, focusing on cybersecurity, strategic alignment, and digital innovation. 20-year track record in top FT50 journals Top 35 active IS researcher by productivity Senior Editor roles at MIS Quarterly , Information Systems Research , and Journal of the AIS Research spans three pathways: strategic IT decisions (firm performance, governance), IT workforce management (job satisfaction, turnover), and post-adoption IT innovation (technostress, IT identity). 2022 publications emphasize digital commerce, social media ethics, and technostress mitigation. Awards include: Clemson's 2008 Undergraduate Teaching Award KPMG Foundation Circle of Compadres Top Associate Editor recognition by Information Systems Research Multiple productivity rankings Teaching spans undergraduate to Ph.D. levels with global mentorship experience. Editorial leadership roles include Senior Editor positions and former editorial board memberships. Productivity metrics highlight 12,000+ Google Scholar citations and consistent publication in FT50 journals since 2002.
Prof. Dr. Harald Ritz serves as Professor of Practical Computer Science, especially Business Informatics, at the Technical University of Central Hesse (THM) within the Department of Mathematics, Natural Sciences and Computer Science since 2003. He holds leadership roles as Chair of Examination Committees for B.Sc. and M.Sc. Business Information Systems and Spokesperson for the MNI department in the Business Informatics Working Group (AKWI). His educational background includes a Diplom in Business Informatics (Dipl.-Wirtsch.-Inform.) and doctorate (Dr. rer. pol.) from the Technical University of Darmstadt, following professional experience at SAP SI AG and a professorship at Heilbronn University of Applied Sciences. Ritz's research centers on AI-driven digital transformation for data-driven enterprises, with focus on the “Data to Decision” value chain encompassing Framing, Allocation, Analytics, and Preparation phases. His work integrates business intelligence, data warehousing, machine learning, and SAP ecosystems to address challenges in SME digitalization, operational IT management, and educational technology. Current projects emphasize AI applications in higher education, including intelligent tutoring systems and automated feedback mechanisms. Analysis of his 15 most recent publications reveals a consistent trajectory toward applied AI solutions in business contexts, particularly in intelligent chatbots for educational support, financial trading algorithms, and cloud-based data infrastructure. The research demonstrates increasing integration of no-code platforms, real-time analytics, and domain-specific AI applications across logistics, banking, and procurement sectors. No scientific awards were documented in the source materials. Professor Ritz actively supervises academic development through bachelor’s and master’s theses, doctoral research, and collaborative projects. Current initiatives include the “Winfy” AI chatbot (v4.0, 2025), AI-based feedback systems for educational content (Freiraum 2025 grant), the frits intelligent tutoring project with Prof. Kammer, and doctoral research on AI adoption in SMEs. His work bridges theoretical research with practical implementation in SAP environments and cloud platforms. He operates within THM’s MNI department infrastructure, collaborating through the Business Informatics Working Group (AKWI) and contributing to the Digital Classroom communication platform for online education.
Matthew Turk is an Assistant Professor at the University of Illinois' School of Information Sciences and holds a Research Assistant Professor appointment in the Department of Astronomy. His work bridges computational astrophysics and data science, focusing on data analysis tools, human-computer interaction, and the social structures of scientific software communities. PhD in Physics from Stanford University (2009) Postdoctoral work at University of California, San Diego NSF Fellowship in Transformative Computational Science at Columbia University Turk's research centers on data visualization , reproducibility in scientific workflows , and computational infrastructure for astrophysics . He has developed tools like yt, a widely-used astrophysical simulation analysis toolkit, and explores how researchers interact with data through software and visualization techniques. His recent publications highlight trends in scientific software sustainability , machine learning applications in cosmology , and interdisciplinary data sonification . Turk's work demonstrates a consistent focus on integrating computational methods with human-centric approaches to scientific discovery. NSF Fellowship in Transformative Computational Science Turk contributes to scientific education through courses like Data Visualization (IS445ACG) and Independent Study (IS589MJT). His involvement in grants and collaborative projects, including the yt toolkit development and the Data Storytelling Toolkit for Libraries (DSTL), showcases his commitment to expanding computational literacy across domains.
Prof. Dr. Matthias Rarey is a computer scientist and Professor at the University of Hamburg's Center for Bioinformatics. He holds a Ph.D. in Computer Science from the University of Bonn (1996) and has been leading the Algorithmic Molecular Design working group since 2002. His research focuses on molecular design algorithms, cheminformatics tools, and 3D bioinformatics. Co-founder of BioSolveIT GmbH Former cheminformatics group leader at Fraunhofer SCAI Former researcher at SmithKline Beecham and Roche Bioscience Head of Helmholtz Data Science Graduate School DASHH Director of Center for Data and Computing in Natural Science (CDCS) Research interests span algorithmic molecular design, cheminformatics, structure-based drug discovery, and machine learning applications in bioactivity prediction. His group developed widely used tools like FlexX, PoseView, and SpaceLight for molecular modeling and fragment space analysis. Recent publications focus on geometric pattern matching in protein-ligand interfaces, combinatorial fragment space encoding, adverse drug reaction network analysis, and efficient shape-based virtual screening. The work emphasizes scalable algorithms for billion-sized compound libraries and integration of machine learning with traditional cheminformatics approaches. Scientific awards include: GMD Award 1996 (Best Dissertation) GMD Award 2000 (Best Project) NRW Wissenschaftspreis 2002 Corwin Hansch Award 2005 Emerging Technologies Award 2011 Norddeutscher Wissenschaftspreis 2020 Academic leadership roles: Founding director of Center for Bioinformatics Co-founder of M.Sc. Bioinformatics and B.Sc. Computing in Science programs Chair of doctoral committee at Faculty of Computer Science Member of EMBL-EBI's Molecular and Cellular Structure advisory board Former Associate Editor of Journal of Chemical Information and Modeling
Filippo Menczer is a Professor of Informatics and Computer Science and Director of the Center for Complex Networks and Systems Research at Indiana University School of Informatics and Computing. He maintains courtesy appointments in Cognitive Science and Physics, and is affiliated with the Center for Data and Search Informatics and the Biocomplexity Institute. Additionally, he holds a Fellowship at the ISI Foundation in Torino, Italy. His research spans computational analysis of digital ecosystems with emphasis on: Web Science: structural and behavioral analysis of internet-scale systems Social Media Dynamics: information diffusion, meme competition, and attention economy modeling Complex Networks: traffic pattern analysis, popularity dynamics, and social link prediction Publications from 2009-2012 reveal consistent focus on social network analytics and information diffusion mechanisms. Key trends include modeling attention-limited meme competition, bursty popularity patterns in social media, and social link prediction through metadata analysis. His work integrates network science, computational social science, and data mining to decode online behavior. His scientific recognition includes: Fellow of ISI Foundation (2013) He leads the NaN research group within the Center for Complex Networks and Systems Research, focusing on interdisciplinary approaches to complex information networks and social media analytics.
Thomas Poell is Senior Lecturer in the Department of Media Studies at the Faculty of Humanities, University of Amsterdam. His scholarly work sits at the intersection of digital media studies, platform studies, and political communication, with a focus on how digital platforms reshape public communication and cultural production. Poell's research interests primarily center on platformization processes and their societal implications. His influential work examines how digital platforms mediate public communication, with particular attention to protest movements, multilingual communication, and the transformation of cultural industries. He has made significant contributions to understanding the political economy of platforms, platform power dynamics, and the evolving relationship between platforms and public values. His methodological approach combines qualitative analysis of platform architectures with empirical studies of user practices across different cultural and linguistic contexts. Analysis of Poell's recent publications reveals a clear trajectory from studying social media's role in political movements to examining broader platformization processes. His work increasingly focuses on platform power across specialized domains including medical imaging, advertising ecosystems, and news industries. A consistent thread throughout his scholarship is examining how platform architectures shape communication practices and power relations, with growing attention to issues of visibility, governance, and equity in platformized environments. Poell has made significant contributions to the field through his co-authored book The Platform Society (2018), which established foundational concepts for understanding how digital platforms transform various sectors of society. He has also co-edited Global Cultures of Contestation (2017) and The Sage Handbook of Social Media (2018), demonstrating his leadership in synthesizing scholarly knowledge about digital media and platform dynamics. His influential article "Twitter as a multilingual space: The articulation of the Tunisian revolution" exemplifies his approach to studying platform-mediated communication during political upheavals. This work demonstrated how Twitter functioned as a global communication space during the Tunisian revolution, with different language communities articulating distinct accounts of the revolution while remaining interconnected through strategic language use by key activists.
Anson Kahng is an Assistant Professor in the Department of Computer Science and the Goergen Institute of Data Science at the University of Rochester. He previously held postdoctoral positions at the University of Toronto and completed his PhD at Carnegie Mellon University under the supervision of Ariel Procaccia, focusing on computational social choice. PhD, Computer Science, Carnegie Mellon University Undergraduate degree, Computer Science, Harvard College His research explores the intersection of computer science and democracy, developing frameworks like virtual democracy and liquid democracy while analyzing fairness in participatory budgeting and voting systems. He combines theoretical analysis with empirical methods, emphasizing interdisciplinary collaboration. Recent work includes advancements in ranked choice voting optimization, fairness metrics for elections, and structural analysis in cryo-electron tomography. He has published in top venues such as IJCAI, AAAI, NeurIPS, and ACM Transactions on Economics and Computation. NeurIPS 2019 Spotlight Presentation (top 2.5% of submissions) Kahng advises PhD students Alina Chadwick and Joe Saber, and has mentored multiple undergraduate researchers. He teaches courses on algorithmic game theory and computational statistics at the University of Rochester.
Leah Macfadyen is an Associate Professor of Teaching in the Department of Language & Literacy Education at the University of British Columbia (UBC), Faculty of Education. She serves as Coordinator for Curriculum & Instruction in the Master of Educational Technology (MET) program. With interdisciplinary training in experimental sciences and humanities, she bridges analytical rigor with cultural theory in her research on digital education and learning analytics. Her research spans learning analytics , digital literacies , and critical intercultural communication . Key projects include developing UBC’s Introduction to Global Citizenship online course (2005) and co-authoring MET program courses like ETEC 542. She explores ethical dimensions of ‘big data’ in education and data literacy challenges. Recent publications (2020–2023) focus on institutional learning analytics frameworks, curriculum NLP analysis, and ethical codes for practitioners. Collaborative work with Shane Dawson and others has been published in journals like Journal of Learning Analytics , Computers & Education , and Journal of Genetic Counselling . Key Themes : Intercultural communication in digital spaces, systems thinking for educational analytics, ethical implications of data-driven learning Courses Developed : ETEC 500, 520, 542, 543, 581, and 590
Filipa Matos Wunderlich is an Associate Professor in Urban Design at University College London's Bartlett School of Planning, where she serves as Director of the cross-faculty MRes Interdisciplinary Urban Design (MRes IdUD) program and Urban Design Strategic Coordinator. She previously co-designed and directed the MSc Urban Design and City Planning program and has held academic positions at UCL since 2008, initially as a Research Associate before becoming a Lecturer in 2010. Her educational background includes a PhD from University College London (2010), a Diploma of Architecture from Universidade do Porto (2000), and a Bachelor of Music from ArtEZ Institute of the Arts (2001). This interdisciplinary foundation informs her unique approach that bridges architecture, urban design, and musical performance. Wunderlich's research centers on temporality in urban places, urban rhythms, and place-rhythmanalysis, with significant contributions to temporal urban design theory and practice. Her work explores sensory and performative urbanisms, affect in the city, and the interface between urban and musical aesthetics. She also investigates gender-neutral urban design and alternative hybrid typologies in contemporary cities, emphasizing the synergy between theoretical innovation and practical application in urban design. Her publication record reveals a clear evolution from foundational theoretical work on urban rhythms and place-temporality toward increasingly sophisticated applications of temporal design principles. The most recent publications demonstrate a maturation of her temporal urban design framework, moving from conceptual explorations to practical implementations across diverse urban contexts, with growing emphasis on wellbeing, health, and sustainability implications. As a respected academic, Wunderlich regularly serves as keynote speaker at international conferences, including recent invitations to Oxford University, AESOP conferences, and the Conscious Cities Festival. She is a guest editor for Planning Theory and Practice and Architecture Open-Access journals, and frequently reviews for leading urban studies publications. In her teaching and advising roles, Wunderlich directs the MRes IdUD program and coordinates the Major Research Projects module across multiple postgraduate programs. Her grant activities include Innovate UK's Smart Walkability Platform project, UCL ChangeMakers initiatives, and the European COST Action Go2CHANGE research project on cultural heritage conservation under climate change. Wunderlich leads several research initiatives including the Post Growth Planning Research Cluster, Temporal Urban Design Research Podcast and Journal, and Collective Zebra - an online journal focused on walking. These platforms foster interdisciplinary dialogue on temporal approaches to urban design and facilitate knowledge exchange between academic research and professional practice.
Heather O'Brien is a Professor at the School of Information , University of British Columbia, specializing in user engagement with digital technologies , information retrieval , and knowledge exchange . Her work bridges human-computer interaction and health informatics through projects like the User Engagement Scale (UES) and the PolarUs app for bipolar disorder management. Education: MLIS and PhD from Dalhousie University Research: Focuses on engagement theory, digital health, and university-community knowledge exchange Her STOREE project (SSHRC-funded) develops frameworks for open scholarship and community-centered metadata practices. She co-developed the internationally adopted UES tool for measuring technology engagement, translated into French, German, Italian, and Portuguese . Scientific Awards: 2022 ASIS&T Research in Information Science Award 2018 ASIS&T SIG USE Best Paper Award Professor O'Brien mentors graduate students in information behavior and digital health while leading interdisciplinary collaborations with institutions like CREST.BD and BC Centre on Substance Use .
Fuchsia Howard, PhD, RN serves as an Associate Professor and PhD Coordinator at the University of British Columbia School of Nursing. Her office is located at T201 2211 Wesbrook Mall, Vancouver, BC V6T2B5, with contact via phone (1-604-822-4372) and email (fuchsia.howard@ubc.ca). Her research spans oncology nursing, reproductive health, critical care survivorship, and health equity . She investigates fertility preservation for cancer patients, endometriosis-associated dyspareunia management, and digital health interventions for sexual health. Her work emphasizes patient-reported and family-reported outcomes , particularly in chronic disease management and post-ICU recovery. Current projects address social determinants of health in critical illness survivorship and destigmatizing design for sexual health technologies. Her recent publications (2023-2025) demonstrate strong focus on Patient-centered outcome measures in oncology and gynecology Digital resource development for endometriosis and fertility challenges Family caregiver roles in critical illness recovery Health equity in Canadian cancer care systems Key methodologies include qualitative studies, scoping reviews, and mixed-methods approaches. As PhD Coordinator, she guides nursing doctoral candidates though specific students aren't listed in available materials. Her work connects with clinical practice through collaborations with BC Cancer and UBC-affiliated hospitals.
Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.
Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .
