Don Sannella is a Professor of Computer Science at the University of Edinburgh, affiliated with the Laboratory for Foundations of Computer Science (LFCS) within the School of Informatics. His research focuses on formal methods, algebraic specification (notably the CASL language), security, and theoretical computer science. He has contributed to foundational work in specification languages and their implementation, including the CoFI initiative. Sannella has authored influential books on formal software development and algebraic specifications. He holds the rank of Fellow of the Royal Society of Edinburgh. His work spans academic leadership, editorship of Theoretical Computer Science , and projects like Mobility and Security (MRG) and App Guarden for secure mobile applications. His teaching includes courses on functional programming, computability, and formal methods. He has advised students such as Nikita Samarin and collaborated on research grants, including those in resource analysis and concurrency. Sannella’s contributions integrate rigorous formal techniques with practical software development challenges, emphasizing modularity, correctness, and security.
Prof. Grzegorz J. Nalepa holds the position of Full Professor at the Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Poland. He leads the Jagiellonian Human-Centered Artificial Intelligence Lab and is involved in international projects such as the CHISTERA XPM initiative on explainable AI in predictive maintenance. His academic journey includes a PhD (2004), habilitation (2012), and a philosophy MA (2012). Research focuses on AI, affective computing, context-aware systems, and explainable AI (XAI). He has authored over 200 papers, two monographs, and edited volumes. Key projects include the BIRAFFE2 dataset for emotion-based personalization and the GEIST team's semantic wiki tools. Holds leadership roles in conferences (e.g., ECAI 2023) and serves on editorial boards of journals like Sensors and Intelligent Sensors Section . Awards include the 2018 Outstanding Monograph Prize and multiple AGH-UST Rector's Prizes for scientific achievements. Advises PhD and master students, supervising 36 MSc theses. Active in professional organizations like the Polish Alliance for AI and the IEEE Computational Collective Intelligence TC. His contributions span industrial collaborations, software tools (e.g., InXAI, LUX, KnAC), and international research networks.
Chelsea Schelly is a Professor of Sociology at Michigan Technological University (MTU), affiliated with the College of Forest Resources and Environmental Science, and Director of Research at the Center for Innovation in Sustainability & Resilience. She holds a PhD in Sociology from the University of Wisconsin-Madison (2013), with research focused on socio-technological transitions, energy policy, and Indigenous sovereignty in energy systems. Her work addresses how technologies and policies can foster sustainable, resilient, and socially just futures, particularly in rural and Tribal communities. Education : PhD in Sociology, University of Wisconsin-Madison, 2013. Research Interests : Schelly’s interdisciplinary work spans socio-technological transitions, energy practices, food-energy-water (FEW) nexus dynamics, and Indigenous leadership in sustainability. She emphasizes participatory approaches with Tribal Nations to advance energy sovereignty and resilience. Her recent EPA STAR grant ($1.25M) investigates energy service transitions in forest-dependent communities. Grants & Awards : Over $2M in grants include an EPA STAR Program award (2023–2027) and a Sloan Foundation grant (2022–2025). She has held NSF-IGERT and EPA-STAR Fellowships. Advising & Teams : Leads the MICARES project on energy transitions and collaborates with the Environmental and Energy Policy Program. No listed advisees are explicitly mentioned in the texts provided. Labs/Initiatives : Directs research at the Center for Innovation in Sustainability & Resilience and participates in the Sustainable Communities Program. Her work bridges academia, policy, and community engagement.
Sandeep Prasada is a Professor and Director of the General Psychology MA Program at Hunter College, City University of New York (CUNY). He holds a PhD in Cognitive Science from the Massachusetts Institute of Technology (MIT). His research focuses on the mechanisms underlying lexical and conceptual representation and their development, addressing questions about how humans form concepts across diverse domains and the interplay between conceptual, perceptual, and linguistic representations. His work employs experimental methods to investigate conceptual development in children and adults, emphasizing formal explanations of cognitive processes. Key areas include kind representations, principled connections, and the neural basis of conceptual structures. Prasada has published extensively in journals like Cognition and Cognitive Science , contributing to theoretical frameworks in cognitive and developmental psychology. Prasada’s research trends highlight interdisciplinary approaches blending cognitive science, linguistics, and philosophy. Recent studies explore polysemy, formal explanation’s role in conceptual systems, and atypical exemplar processing. His work underscores the importance of understanding how abstract principles shape everyday cognition. No scientific awards are explicitly mentioned. His professional roles include directing academic programs and advising the MA program, though no specific advisees are listed. He is affiliated with Hunter College’s Psychology Department within the School of Arts and Sciences.
Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .
Stefan Lengauer is a Senior Researcher at the Institute of Visual Computing (IVC), Graz University of Technology. His work bridges cultural heritage analysis and health informatics through advanced visualization techniques. PhD in Computer Science (2022), Graz University of Technology MSc in Space Sciences (2018), TU Graz BSc in Computer Science (2014-2022) and Aviation (2015), FH JOANNEUM Research focuses on visual analytics , 3D object retrieval , and cross-modal search , with applications in: Medical domains (diabetes care, health information systems) Cultural heritage (pottery analysis, fragment matching, digital restoration) Pattern recognition (geometric motifs, surface textures) Recent publications highlight trends in adaptive visualization (2024-2025) and 3D cultural heritage analysis (2021-2023). Key projects include: HEREDITARY (2024-present): HORIZON Europe project on gut-brain interaction A+CHIS (2020-present): FWF research group on adaptive health information systems CrossSAVE-CH (2019-2022): Cross-modal search in cultural heritage Scientific recognition includes: Best Challenge Entry (2024) Honorable Mention (2020) PhD distinction (2022) Mentored 12+ students in topics ranging from medical chatbots to 3D pottery analysis . Reviewing activities span journals like Springer Nature and conferences including WSCG.
Dr. Laura Trafi-Prats is a Reader at the School of Education (CYES) at Manchester Metropolitan University, specializing in education, youth studies, and arts-based methodologies. Her research explores how youth engage with digital technologies, urban spaces, and cultural institutions through collaborative ethnographies and posthumanist frameworks. She leads projects funded by UKRI and ESRC, including studies on smart school environments and spatial practices. Her work prioritizes creative dissemination through exhibitions, video, and alternative publications. Her expertise spans art in education, critical digital literacy, and affect theory. She collaborates with artists and cultural organizations to empower youth in addressing societal challenges. Notable outputs include the co-edited book Visual Participatory Arts-Based Research in the City (2022) and contributions to ESRC-funded spatial research. She mentors doctoral students focusing on urban space, art-nature curricula, and interdisciplinary methodologies. Recent grants include the ESRC-funded 'Mapping Spatial Practices and Social Distancing in Smart Schools' (2021-2022) and a project on Black spatial exploration in Tallahassee (2020-2021). Her teaching emphasizes postgraduate theory and research design, fostering critical engagement with digital and sensory methodologies.
Oliver Kutz is a Full Professor at the Faculty of Engineering, Free University of Bozen-Bolzano, Italy, leading the KRDB Research Centre for Knowledge-based Artificial Intelligence. His roles include Director of KRDB (2022–2024) and President of the International Association for Ontology and its Applications (IAOA) since 2023. He holds Italian habilitations for Full Professor in Informatics (01/B1) and Information Systems (09/H1), and Associate Professor roles in Philosophy of Science (11/C2) and Mathematical Logic (01/A1). Education: PhD (2005) from University of Liverpool, M.Sc. (2000) from Humboldt University Berlin, studies in Architecture, Mathematics, Philosophy, and Cognitive Science across multiple institutions. Research focuses on computational/philosophical logic, cognitive AI, computational creativity, and applied ontology. Organized major conferences: General Chair of FOIS 2018, EKAW 2020/22, ICCC 2022; Program Chair of DL 2023 and FOIS 2014. Editorial roles: Applied Ontology journal and CEUR Workshop Proceedings. Awards include the BCS Distinguished Dissertation Finalist (2005) and the inaugural Best of JOWO Award (2024). Labs/Teams: KRDB Research Centre, leading ontology and computational creativity projects. Active in standardization (OMG OntoIOp) and EU projects like COINVENT.
Elena Simperl is a Professor at King's College London, UK, with former affiliations at the University of Southampton and Karlsruhe Institute of Technology. Her work focuses on knowledge graphs, semantic web technologies, and AI-driven data management. She leads research in collaborative knowledge engineering, dataset search, and AI ethics, contributing to projects like the TheyBuyForYou platform for public procurement transparency. Her research interests span knowledge representation, crowdsourcing, and human-AI collaboration. Notable contributions include advancing methods for knowledge graph construction, improving data quality via crowdsourced and automated approaches, and exploring the societal impact of AI systems. She has co-edited major conferences such as ISWC and ESWC, and her work bridges technical innovation with practical applications in public policy and information systems. Key projects include developing frameworks for dataset usability, AI-ready data infrastructure, and systems for fact-checking visual content. Her collaborations span academia and industry, addressing challenges in data governance, misinformation detection, and ethical AI deployment.
Andreas Treske is a Senior Lecturer and Chair in the Department of Communication and Design at Bilkent University's Faculty of Art, Design, and Architecture. He holds a degree from the Munich Film Academy (1992) and a background in German Literature and Political Science from the University of Siegen (1986). His professional career spans filmmaking, editing, and academic leadership, including chairing the Department of Communication and Design (2005–2010). He has taught extensively in film production, new media theory, and graduate thesis supervision. Education: Munich Film Academy (1992), University of Siegen (1986) Research focuses on interactive media, new media theory, and the sociological implications of streaming platforms. His work includes feature documentaries, such as Takim Böyle Tutulur , and contributions to initiatives like the Video Vortex Ankara conference. His recent scholarship analyzes audience activity transformations in digital platforms, emphasizing how streaming media reshape cultural engagement and public life. Awards and grants are not explicitly listed, but his academic contributions include organizing international film festivals and serving on EU-Turkey civil society dialogues. He advises students on graduate studio projects and master’s theses, fostering innovation in visual communication and media art. He is involved in the Bilkent Media Future Initiative and the New Media Open Lab, promoting interdisciplinary experimentation in digital media. His work bridges artistic practice and critical theory, reflecting a commitment to evolving media landscapes.
Olivier Sartenaer is a Lecturer at the University of Namur, affiliated with the Department of Science and Philosophy. He holds a Doctor of Philosophy from UCLouvain (2013), focusing on 'Emergence and reduction: an epistemological analysis of the dynamics of natural systems'. His research emphasizes emergentism, metaphysics, and the philosophy of science, particularly addressing topics like non-reductive physicalism and scientific demarcation. He leads the 'Re-engineering Non-reductive Physicalism for the 21st Century' project (2023–2025), exploring interdisciplinary dimensions in biology and physics. Sartenaer has received prestigious fellowships including the Alexander von Humboldt (2017) and BAEF Francqui (2013). He actively engages in public discourse through media contributions (e.g., RTBF, podcasts) and academic activities, including over 150 participations in conferences, seminars, and lectures. His work contributes to Sustainable Development Goal 4 (Quality Education) through science communication initiatives. Education: PhD in Philosophy from UCLouvain (2013) Key Research Areas: Emergentism, philosophy of science, epistemology, metaphysics Awards: 13 fellowships including Alexander von Humboldt, BAEF/ Francqui, and FNRS Research Interests: Sartenaer’s work bridges philosophy with empirical sciences, focusing on emergence theory, scientific pluralism, and the critique of pseudoscience. His recent projects analyze the demarcation problem, the nature of scientific evidence, and the societal implications of AI like ChatGPT. He advocates for clear communication to counter anti-scientific narratives, as seen in his media engagements addressing topics like conspiracy theories and science literacy. Recent Article Trends: His 2024 publications address epistemic contextualism in demarcation, spatial philosophy, and science-antiscience dynamics. Earlier works (2019–2023) explore technological emergence, causal exclusion, and non-standard metaphysical frameworks. These contributions underscore his commitment to integrating philosophical rigor with contemporary scientific challenges. Grants & Projects: PI of the 2023–2025 project on non-reductive physicalism Public Engagement: Over 19 media contributions, including expert commentary on kinésiologie, AI ethics, and scientific communication Labs/Teams: Collaborates through the Namur Centre de Recherche Science & Philosophy and interdisciplinary networks like the Rome-Namur Workshop on Emergence. His work frequently intersects with institutions like the Archives Poincaré (University of Lorraine) and the Belgian Royal Academy.
Nancy Salay is an Associate Professor in the Department of Philosophy at Queen's University, with a cross-appointment in the School of Computing. She holds affiliations as Editor of Dialogue: Canadian Philosophical Review and founder of ESC (Embodiment, Systems, and Complexity). Her research focuses on philosophy of cognition, language, and metaphysics, informed by embodied cognitive science. She earned her PhD in philosophy of mind from Dalhousie University, followed by a research fellowship at Brandeis and work as a computational linguist at Cycorp. Her research explores how language expands cognitive capacities like reflective consciousness, challenging traditional computational models of cognition. Recent work critiques limitations of machine learning systems in understanding abstract representational properties. Nancy's interdisciplinary approach bridges philosophy with computational linguistics and cognitive science. Publications span analysis of knowledge systems' failures, non-universality in computation, and philosophical critiques of neural networks' representational paradigms. Her work emphasizes organism-level engagement over neural reductionism in grounding intentionality. Collaborations include projects like the Halo Pilot evaluating knowledge representation systems.
Carola Eschenbach serves as an Academic Councillor at the University of Hamburg within the Department of Computer Science, Faculty of Mathematics, Computer Science and Natural Sciences. Her work bridges formal logic, linguistics, and cognitive science through rigorous theoretical frameworks. Her research centers on formal ontology—including mereology (part-whole relations, overlap, disjointness, and fusion) and mereotopology (topological structures grounded in mereology)—to model holism and integrity in conceptual systems. She investigates natural language semantics with emphasis on lexical compositionality and the syntax-semantics interface of quantification (e.g., "three liters of wine" vs. "three heads of lettuce"). Spatial reasoning constitutes another pillar, covering reference systems, trajectory representation, and movement formalization. Additional domains include discourse/event structures and grouping processes in linguistic cognition. Dr. Eschenbach has led decades of DFG-funded research, including CINACS (2006-2015) on multimodal comprehension, Language Production Priority Programme (1997-2003), ARK spatial axiomatics (1996-2002), Cognitive Science Graduate School (1990-2000), and GAP grouping processes (1987-1993). While student mentorship isn't explicitly documented, her project leadership implies extensive team supervision. Her office resides at Vogt-Kölln-Str. 30, Hamburg.
Philipp Höfele is a Research Fellow at the University of Freiburg, currently serving as a member of the Young Academy for Sustainability Research (YAS) from October 2024 to September 2027. His career includes roles as Assistant Professor at Martin Luther University Halle-Wittenberg (2023-2024), postdoctoral researcher in the Cluster of Excellence liv MatS (2019-2021), and visiting scholar at Pennsylvania State University (2021-2023). He holds affiliations with Freie Universität Berlin and the International Schelling Society (board member, secretary) and co-edits the journal Schelling-Studien: Internationale Zeitschrift zur klassischen deutschen Philosophie . His research focuses on practical philosophy, ethics of German idealism and post-idealism, and contemporary issues in nature-technology relations within the Anthropocene. Key themes include boundary formations in philosophy of nature, ethical implications of bioinspired technologies, and reinterpreting classical concepts for modern ecological challenges. He has published widely in journals like The Anthropocene Review , Allgemeine Zeitschrift für Philosophie , and Philosophical Psychology . Philipp's work bridges historical philosophical analysis with applied ethics, emphasizing transdisciplinary approaches. His current YAS project examines ethical frameworks for emerging technologies in sustainability contexts. He actively contributes to academic societies and has co-edited special issues addressing the Anthropocene's societal and philosophical dimensions. In advising and grants, he has coordinated multi-method ethical assessments for climate policy and participated in formative interventions for sustainable technological development. His research portfolio reflects collaborations across philosophy, psychology, and environmental science, aiming to inform policy through philosophical insights.
Roxana OLOGEANU-TADDEI is an Associate Professor in the Department of Information, Operations and Management Sciences at Toulouse Business School. Her research focuses on digital transformation, healthcare technology, and the intersection of information systems with organizational practices. She explores themes such as trust in IT, blockchain applications in healthcare, telemedicine, and sustainable digital solutions. Her work combines action design research with mixed-methods approaches to address challenges in healthcare innovation and organizational change. Key research areas include digital transformation strategies, the role of technology in healthcare practices, and the ethical implications of AI systems. She has contributed to projects like the Digital Allergy Card, leveraging blockchain for standardized medical data sharing, and studies on tele-rehabilitation and patient engagement. Her work frequently bridges theoretical frameworks with practical implementation in pluralistic healthcare settings. Publications highlight her analysis of technology adoption barriers, the impact of trust and privacy on health app usage, and the need for sustainable digital solutions. She critiques evolving definitions in digital transformation research and advocates for methodological rigor in evaluating e-health interventions. Though no formal awards are listed, her extensive publication record and focus on real-world healthcare challenges reflect her academic contributions. She collaborates with hospitals and organizations to design systems that enhance patient care and organizational efficiency, emphasizing the alignment of technology with human-centered practices.
