Giovanna Di Marzo Serugendo is a researcher affiliated with the University of Geneva (Faculty of Social Sciences, Centre for Informatics) and the Institute of Information Service Science (ISS) . Her work spans semantic technologies, agent-based modeling, and sustainable systems. Research interests focus on Semantic knowledge graphs for regulatory compliance Ontology-driven resource management Self-organizing systems inspired by biological models AI applications in smart grids and urban mobility Digital agriculture platforms for smallholder farmers Recent publications highlight trends in ontology automation using LLMs, agent-based simulations for urban planning, and KG-enhanced compliance frameworks . She leads projects integrating digital twins with smart energy systems and develops bio-inspired coordination paradigms. Supervised works include 17 research projects in these domains. Current technical reports and conference papers explore cybersecurity-safety interdependencies in autonomous vehicles and decentralized event source detection in sensor networks.
Guillaume Chanel is a researcher at the University of Geneva, affiliated with the Department of Computer Science under the Faculty of Sciences, and the Centre interfacultaire en sciences affectives. His work spans affective computing, emotion recognition, and physiological signal analysis in human-computer interaction contexts. Affective Computing Emotion Recognition Brain-Computer Interfaces Multimodal Interaction Physiological Computing Human-Computer Interaction Chanel's research focuses on integrating physiological signals (e.g., EEG, electrodermal activity) with computational models to enhance emotion detection and adaptive systems. Recent work includes attention mechanisms in U-Net for medical imaging, variational autoencoders for PPG denoising, and biofeedback-driven gaming systems. His publications emphasize multimodal fusion, transfer learning, and latent representation techniques. His 15 most recent articles (2025–2020) analyze advanced deep learning architectures for emotion and impression recognition, physiological signal processing, and adaptive game design. Key themes include attention mechanisms, variational autoencoders, multimodal synchronization, and biofeedback applications. Chanel collaborates with the Computer Vision and Multimedia Laboratory and the Centre universitaire d'informatique, contributing to open datasets and tools like the Toolbox for Emotional feAture extraction from Physiological signals (TEAP).
Dr. Sharib Ali is a Lecturer (Assistant Professor) in the School of Computer Science at the University of Leeds, Faculty of Engineering and Physical Sciences. He is affiliated with the Leeds Cancer Research Centre and actively contributes to research in biomedical image analysis and computer vision. His work bridges cutting-edge AI with clinical applications, particularly in endoscopy and surgical technologies. PhD in Medical Image Analysis, University of Lorraine, France MSc in Computer Vision (by research), University of Burgundy, France Dr. Ali's research focuses on biomedical image analysis , computer vision , and machine learning , with applications in early cancer detection , computational endoscopy , and 3D reconstruction . He develops robust algorithms for segmentation, registration, depth estimation, and mosaicking, using both classical mathematical models and deep learning. His work emphasizes translational research and generalisability in real-world clinical settings. The recent publications highlight a strong trend in generalisability assessment , multi-modal data fusion , and AI benchmarking in endoscopy. His work spans from foundational algorithm development to clinical deployment, including federated learning , mixed reality in surgery , and multi-centre datasets , addressing key challenges like bias, data imbalance, and privacy. Dr. Ali has co-supervised multiple DPhil/PhD students and currently supervises several PhD candidates at the University of Leeds, University of Oxford, and Tec de Monterrey. He is actively involved in securing research funding and leading projects such as Leveraging multi-modality data for targeted biopsy and Federated learning in healthcare . He is a founding member of NAAMII, Nepal, where he volunteers to train students from LMICs. He also organizes international research initiatives including the EndoCV and P2ILF challenges at MICCAI, and serves on program committees and as a reviewer for journals like Nature Communications and Medical Image Analysis . His research is conducted within interdisciplinary teams, collaborating with clinicians from Oxford NHS University Hospitals, neuroscientists at Forschungszentrum Jülich, and engineers across Europe. He leads the development of open tools and datasets to advance the field of endoscopic computer vision.
Ashish Nanda is a Research Fellow at the Deakin Cyber Research and Innovation Centre (Deakin Cyber) at Deakin University, Australia, where he contributes expertise to pioneering cybersecurity research. Prior to his current role, he served as a Research Fellow at the Centre for Cyber Resilience and Trust (CREST), Centre for Cyber Security Research and Innovation (CSRI), and the Deakin Blockchain Innovation Lab (DBIL). He has also enriched the academic community as a Lecturer at the University of Technology Sydney. Dr. Nanda's educational background includes: PhD in Computer Science from the University of Technology Sydney Bachelor of Technology in Computer Science & Engineering from Amity University, India His research spans cybersecurity, authentication technologies, digital identity, and usable security. Nanda has contributed to national projects funded by the Cyber Security CRC, focusing on multi-factor authentication, privacy-preserving digital credential wallets, and ambient intelligence-based continuous authentication systems. His work bridges technical security measures with human factors, emphasizing that security solutions must be both robust and user-friendly to achieve widespread adoption. This human-centered approach to security has become increasingly prominent in his recent publications. Dr. Nanda's publication trajectory shows a clear evolution from foundational network security protocols toward increasingly human-centered security approaches. While his earlier research focused on technical aspects of secure routing for wireless mesh networks and IoT infrastructure, his recent work emphasizes usable security, authentication devices, and digital identity systems. This shift reflects the growing recognition in cybersecurity that technical solutions alone are insufficient without considering human factors and user experience. Dr. Nanda has received significant research funding through: Cyber Security Cooperative Research Centre (CRC) Australia's Economic Accelerator program He actively contributes to public discourse through articles in The Conversation and interviews with major media outlets including SBS News, The Guardian, and The Feed. His research collaborations extend across multiple institutions with emphasis on practical applications addressing real-world cybersecurity challenges. Nanda has also co-founded Adroit Explorer Innovation Chambers, a not-for-profit organization dedicated to fostering innovation and exploration in technology.
Professor Stavroula Karapapa serves as Dean of Partnerships (Research) at Essex Law School, University of Essex, where she joined in 2020 as Professor of Intellectual Property and Information Law. Her academic leadership includes current role as Dean of Partnerships (2025-present), previous appointments as Acting Faculty Dean of Research for Arts & Humanities (2024 and 2023), Director of Research (2023-2024), and Director of Research for the School of Law (2022). Her academic qualifications include a PhD and LLM from Brunel University London, and an LLB from the National and Kapodistrian University of Athens. Prior to Essex, she held the Chair of Intellectual Property and Information Law at the University of Reading and was Deputy Director of the Intellectual Property, Internet and Media Research Centre at Brunel Law School. She is also a Greek-qualified Barrister (Athens Bar) and Senior Fellow of the Higher Education Academy. Professor Karapapa's research focuses on the legal challenges posed by digital technologies, particularly in intellectual property law. Her work examines copyright law in digital environments, legal regulation of networked systems, big data governance, and AI implications. She takes a distinctive socio-legal and comparative approach, often analyzing law at interdisciplinary intersections. Her scholarship addresses how information technology both shapes and is shaped by legal frameworks. Her publications reveal consistent expertise in copyright defenses, mass digitization, private copying, and emerging AI copyright issues. Major works include 'Defences to Copyright Infringement' (OUP, 2020), 'Copyright and Mass Digitization' (OUP, 2013), and 'Private Copying' (Routledge, 2012), along with her innovative textbook 'Intellectual Property Law' (OUP, 2019). Editor-in-Chief of European Trade Mark Reports (Sweet & Maxwell) Correspondent for Kluwer EU Copyright Cases Adjunct Professor at University of London (PGLaws) Visiting research fellow at Institute of Advanced Legal Studies (2020/21) Professor Karapapa actively supervises doctoral research, currently guiding Tahircan Yedek's PhD in Law. She has provided expert consultation to the UK Intellectual Property Office and European Commission on copyright law reform since 2012, with her work cited in UK Intellectual Property Office draft legislation, Opinions of the Advocate General, and official reports from the European Commission, Canadian Privacy Commissioner, and US Copyright Office.
Dr. Armaghan Shafaei Darestani is a Lecturer at the School of Science, Edith Cowan University (ECU) , and a Research Fellow with the Centre of Integrative Metabolomics & Computational Biology . She previously held postdoctoral roles at the Norwegian University of Science and Technology (NTNU) and the University of Western Australia, focusing on metabolomics and proteomics method development. Research Areas : Analytical chemistry, Nutritional metabolomics, Clinical metabolomics, and Proteomics. Key Techniques : Liquid chromatography-mass spectrometry (LC-MS), HILIC-MS, HPTLC, GC-MS. Scientific Contributions include targeted metabolite assays for dietary intervention studies and deep phenotyping of biological models. She has contributed to understanding sulfur-containing compounds (e.g., S-methyl cysteine sulfoxide) in chronic disease prevention. Major Awards : 2018 - Endeavour Postdoctoral Fellowship (Australian Government) 2014 - Gold Medal at ITEX 2014 for anti-hypertension plant-based medicine PhD Research Fellowship (University of Science Malaysia) Grants and Projects : AU$210,909 (2025-2027): Forensic protein identification via human hair shaft proteomics. AU$243,343 (2023-2025): Metabolomics for Asthma Prediction 2 (MAP-2). AU$701,666 (2017-2023): Research Fellowship in Analytical Chemistry/Proteomics.
Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.
Douglas Eacho serves as an Assistant Professor at the Centre for Drama, Theatre and Performance Studies at the University of Toronto . He also holds the role of Assistant Director, Academic at the BMO Lab in Creative Research in the Arts, Performance, Emerging Technologies, and AI . With a PhD in Theatre and Performance Studies from Stanford University , his work bridges theatrical traditions with digital innovations. Research Interests His scholarship explores intersections between: Automation in live performance Digital computation and aesthetics Global capitalism's influence on art AI-generated cultural imaginaries Marxist performance theory Neoliberal economic systems in theatre Publication Trends Recent articles address algorithmic exhaustion ('Still Exhausted'), capitalist performance cycles ('Immediacy and Exchange'), AI staging experiments, and computational choreography. His work traces automation's lineage from surrealist practices to modern AI, analyzing its economic implications. Scientific Awards Centennial Award for Graduate Teaching (Stanford, 2019) Education PhD in Theatre and Performance Studies, Stanford University BA in Theatre Arts, Brown University Labs & Collaborations Co-leads the BMO Lab , focusing on creative research at the intersection of arts and artificial intelligence.
Kristie Young is a Senior Research Fellow at the Monash University Accident Research Centre (MUARC), within the Faculty of Medicine, Nursing and Health Sciences at Monash University. She is actively involved in high-impact research on human factors in road safety, with a focus on distracted driving, driver behavior, and vehicle automation. She leads and contributes to numerous national and international research projects and is accepting PhD students. Education: Bachelor of Applied Science (Psychology) (Honours), Deakin University PhD in Human Factors, Monash University Kristie's research centers on human factors in road transport, particularly driver distraction, adaptation to in-vehicle technologies, Human Machine Interface (HMI) design, and automated vehicles. Her work integrates naturalistic driving studies, driving simulations, and surveys to understand real-world driver behavior. She investigates how drivers self-regulate their engagement with non-driving tasks and how technology can be designed to enhance safety. Her research has significant implications for road safety policy, vehicle design, and public education campaigns, especially targeting young and high-risk drivers. Her recent publications reveal a strong trend in using naturalistic driving data to analyze driver distraction, self-regulation, and the role of executive function. There is also growing emphasis on automated vehicles, HMI design, and the application of AI for distraction detection. Her work spans cognitive psychology, transportation engineering, public health, and policy development. Scientific Awards: ARC Discovery Early Career Researcher Award (2016) Best Paper by an Early Career Researcher (2013) Best Research Paper 2020 Monash Injury Research Institute Award for Outstanding Research by an Early Career Researcher (2011) MUARC 2024 Seeding Grant Kristie has secured competitive research grants, including an ARC DECRA grant, and leads major projects such as the implementation of the National Driver Distraction Roadmap and research on automated vehicles for high-risk drivers. She advises on policy through submissions to government inquiries and collaborates extensively with national and international institutions. Her research is supported by organizations such as the Australian Research Council, Transport for NSW, and the Road Safety Trust (UK). Kristie is a key member of the Human Factors and Sustainable Safety team at MUARC, contributing to one of Australia’s leading road safety research centers. Her work involves interdisciplinary collaboration with psychologists, engineers, and public health experts, and she utilizes advanced facilities such as the Integrated Facility for Recording Driver and Road User Behaviour.
Beverley Hancock-Smith is a Senior Lecturer in the Library Learning Services at De Montfort University (DMU), based in the Centre for Learning and Study Support (CLaSS), Faculty of Computing, Engineering and Media. She has over 15 years of experience in Further and Higher Education, focusing on academic skills development and inclusive pedagogy. Senior Lecturer, Library Learning Services, De Montfort University PhD Candidate, School of Humanities and Performing Arts, DMU Fellow of the Higher Education Academy Member, ALDinHE (Association of Learning Developers in Higher Education) Her educational background includes a Doctoral Candidacy at DMU, a PGCE from the University of Bedford, an MA in Writing for Performance from Goldsmiths, an MA in Journalism from Liverpool John Moore's University, and a BA Hons in Drama from the University of Exeter. Beverley's research and teaching focus on learning development , academic writing , and inclusive pedagogy , with a strong emphasis on LGBTQ+ inclusion and trauma-informed teaching. She also explores the role of verbatim and documentary theatre in representing marginalized groups. Her creative work as a playwright complements her academic practice, integrating narrative and performance into educational contexts. Her recent publications and conference presentations reflect a growing trend toward integrating technology, inclusivity, and creative methods in education. Topics include AI in academic writing, gamified learning (e.g., critical writing escape rooms), and cross-institutional collaboration. Her work bridges educational theory and performative practice, advocating for student-centered, empathetic pedagogy. Scientific Awards and Recognitions: Fellow of the Higher Education Academy Beverley advises on academic writing support and mentoring programs, including the Dare to Be mentoring initiative. She has led the development of institutional feedback and evaluation tools to enhance learning services. Her work is supported by her active engagement with professional networks such as ALDinHE and through conference contributions across the UK. She is affiliated with the Centre for Learning and Study Support (CLaSS) and contributes to university-wide learning development initiatives. Her dual role as educator and playwright fosters innovative, interdisciplinary approaches to student engagement and inclusion.
Delvin Varghese is a Senior Lecturer in Human-Computer Interaction (HCI) at the Department of Human Centred Computing, Faculty of Information Technology, Monash University, and a member of the Action Lab. He specializes in participatory and action research methods to design digital tools that empower communities, particularly in public health, multicultural engagement, and international development. His research focuses on leveraging community lived experience through co-design and participatory media to build web and mobile applications that drive collective action and social impact. Key areas include digital health, community development, third-sector collaborations, and inclusive technology design for marginalized populations. His work aligns with several UN Sustainable Development Goals, particularly those related to reduced inequalities and good health. Recent publications highlight trends in diaspora engagement, voice-based technologies for remote communities, short-form video for civic reporting, and inclusive digital services. These works reflect a strong commitment to real-world impact, often developed in partnership with NGOs, government agencies, and international bodies like the IFRC. Scientific Awards: Dean’s Award (Community Research) – 2021, 2022, 2024 Monash Student Association (MSA) Teaching Excellence Award – 2024 Best Paper Award, ACM Designing Interactive Systems (DIS) – 2022 Delvin supervises PhD students and is actively involved in multiple research grants, including projects funded by the Australian Research Council and Monash internal grants. He has led and contributed to initiatives such as Fire to Flourish , PROTIC2 , and Supporting Healthy Remote Stores , often collaborating with interdisciplinary teams across health, design, and social sciences. His teaching includes large-scale units like Mobile Application Development and Internet Applications Development . He is affiliated with the Action Lab at Monash, a research group focused on community-centered design, social innovation, and technology for social good. The lab emphasizes real-world deployment and ethical engagement with communities.
Professor Janet C.E. Watson is a leading scholar in Semitic linguistics at the University of Leeds, affiliated with the School of Languages, Cultures and Societies within the Faculty of Arts, Humanities and Cultures. She is the co-director of the Centre for Endangered Languages, Cultures and Ecosystems (CELCE) and leads major international projects on Modern South Arabian languages. Her work bridges linguistics, anthropology, and environmental studies. Her research focuses on the documentation and analysis of endangered languages in southern Arabia, particularly Mehri, Śḥerɛ̄t (Jibbali), Harsusi, and Bathari. She employs instrumental phonetics, acoustic analysis, and community-based methodologies to study phonology, morphology, and the relationship between language and nature. Her fieldwork spans Oman and Yemen, often in collaboration with local scholars and communities. The recent articles reflect a strong trend in laboratory phonology, language documentation, and computational approaches to under-resourced languages. Key themes include emphatic consonants, silent articulations, spatial language, and the integration of traditional ecological knowledge into linguistic analysis. Her work is increasingly interdisciplinary, connecting language with biodiversity, cultural heritage, and digital preservation. Fellow of the British Academy (2013) Leverhulme Trust Research Fellowships (2007–2008, 2010–2011, 2019–2021) British Academy Small Research Grant British Council International Research Fellowship (host, 2023) Professor Watson has supervised numerous PhD students working on Arabic dialects, Mehri, and language revitalization. Her grants include major funding from the Leverhulme Trust, British Academy, AHRC, and King Faisal Centre. She collaborates with institutions in the UK, Oman, Yemen, USA, and Europe. She founded the Language@Leeds Leadership Chair and co-founded CELCE with Prof. Jon Lovett. She leads multimodal documentation projects, including the creation of an Arabic-based script for unwritten languages, children’s e-books in Mehri, and digital archives at ELAR (SOAS). Her team includes local researchers, PhD students, and international collaborators, emphasizing community engagement and capacity building.
Oliver Karras is a researcher, data scientist, and lecturer at the Data Science and Digital Libraries research group at TIB – Leibniz Information Centre for Science and Technology. He holds a BSc, MSc, and PhD in Computer Science from Leibniz University Hannover. His research focuses on FAIR scientific knowledge, Open Research Knowledge Graph (ORKG), and national research infrastructure projects like NFDI-4Ing and FAIR-DS. He is a member of the German Informatics Society (GI) and spokesperson of the Requirements Engineering (RE) group, contributing to conferences and journals as a reviewer. Previously, he was a research associate and PhD student in the Software Engineering group at Leibniz University, leading the DFG project ViViReq on video integration in requirements engineering. His research interests include Data Science, AI, Knowledge Representation, Software Engineering, Requirements Engineering, Empirical Research, and Open Science. He has published over 60 papers in these areas, with notable contributions to knowledge graphs, FAIR data, and reproducibility frameworks. His work emphasizes organizing scientific knowledge for accessibility and collaboration across disciplines. He is actively involved in initiatives like the ORKG, promoting sustainable literature reviews and open science practices. His professional contributions extend to tool development, such as OntoAligner for ontology alignment and SciKGTeX for semantic annotation in LaTeX. Oliver Karras collaborates with institutions like Leibniz University, contributing to the NFDI consortium and energy research projects. His expertise bridges technical innovation and academic rigor, addressing challenges in knowledge management and reproducibility. His current roles include advancing TIB’s research infrastructure and fostering interdisciplinary collaboration through knowledge graph applications.
Holger H. Hoos is the Alexander von Humboldt Professor of AI at RWTH Aachen University (Germany), Professor of Machine Learning at Universiteit Leiden (Netherlands), and Adjunct Professor of Computer Science at the University of British Columbia (Canada). He also serves as Faculty Associate at the Peter Wall Institute for Advanced Studies, UBC. Affiliations: RWTH Aachen University, Universiteit Leiden, University of British Columbia Research interests include methodological and technological advances in human-centred AI, AI for Good, and AI for All. His work focuses on improving AI efficiency and robustness, automated algorithm design (notably Programming by Optimisation and AutoML ), and interdisciplinary applications of AI. He leads the AI Center at RWTH Aachen. Scientific leadership includes roles as president of the European Association for AI (EurAI), co-founder of CLAIRE (now CAIRNE), and past president of the Canadian Association for Artificial Intelligence (CAIAC). His book on Stochastic Local Search (with Thomas Stützle) remains a foundational text in the field. Awards and recognition include: Alexander von Humboldt Professorship (2021) Fellow of ACM, AAAI, and EurAI German AI Innovation Prize (2021) for CLAIRE and ELLIS
Kris Luyten is a Researcher at Hasselt University 's Expertise Centre for Digital Media in Belgium. He specializes in Human-Computer Interaction , Wearable Technology , and Interactive Systems through extensive collaborations with institutions like ACM, Springer, and interdisciplinary teams. Focus on haptic interfaces , telerobotics , and delay-invariant interaction Contributions to multimodal interface design and predictive usability models His recent work explores AI-Spectra dashboards for model transparency and ViRgilites for VR haptics. Publications span journals like Proc. ACM Hum. Comput. Interact. and conferences such as CHI , EICS , and VRST . While no student advising or awards are explicitly listed, his editorial roles (e.g., PACMHCI editorials) demonstrate leadership in interactive systems research.
