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Shaina TrevinoView profile

Researcher

• Prevention Science
• Educational Data Science
• Quantitative Research Methods
• +4 more

Shaina Trevino, PhD, is a Researcher in the College of Education at the University of Oregon, affiliated with the HEDCO Institute for Evidence-Based Educational Practice and the Prevention Science Institute. She holds a PhD in Prevention Science with a specialization in educational data science and quantitative research methods. Her work focuses on data management, computational reproducibility, and privacy-preserving data publishing, particularly in studying intergenerational self-regulation, youth well-being, and violence prevention. Dr. Trevino’s education includes a PhD (2022) and MS (2018) in Prevention Science from the University of Oregon, and a BS in Psychology (2016) from Southern Oregon University. Her research integrates quantitative methodologies to address societal challenges, such as trauma assessment in families and evidence-based intervention design. Her research interests span prevention science, data science workflows, and bridging research-to-practice gaps. She develops dynamic research reports and interactive web apps to enhance accessibility of educational and preventive interventions. Key areas include early childhood emotion regulation, parent-child dynamics, and the impact of stress on developmental outcomes. Awards: 2022 Minority Travel Award (Society for Prevention Research) 2019 Doctoral Travel Award (University of Oregon) 2018-19 Promising Scholar Award (University of Oregon) Roles: Data science workflows for HEDCO Institute Statistical analysis and data management at the Prevention Science Institute Privacy-preserving data publishing methods Labs/Teams: Collaborates across interdisciplinary teams to advance prevention science and educational data applications.

Ania LianView profile

Senior Lecturer

• Educational Neuroscience
• Language Teaching Pedagogy
• Literacy Education
• +5 more

Ania Lian serves as a Senior Lecturer in Teaching and Learning at Charles Darwin University's Faculty of Arts and Society, College of Education. She coordinates Master of Education courses, develops Higher Degree Research supervision culture, and builds international partnerships with Southeast Asian institutions, particularly in Cambodia and Indonesia. Academic Background: PhD in Dialogic Inquiry from University of Queensland (awarded June 20, 2006) Research Focus: Dr. Lian's work bridges educational neuroscience with language pedagogy, specializing in technology-enhanced language learning, critical pedagogy, and literacy education. Her recent scholarship examines AI integration in language instruction, emotional literacy development, and multisensory approaches for resource-constrained environments. Current projects address pandemic recovery in teacher education and policy implementation in Cambodian higher education. Publication Trends: Her 2025 publications reveal a strong emphasis on artificial intelligence applications in language education, with significant focus on ethical implementation, emotional intelligence integration, and context-specific adaptation for Southeast Asian educational settings. The work consistently addresses practical applications while maintaining theoretical rigor in educational neuroscience frameworks. Professional Impact: Senior Education Adviser to Cambodia's Ministry of Education, Youth and Sport Research Professor at Van Hien University (since April 2017) Supervision of 7 HDR students across Indonesia and Cambodia Principal Investigator on four major international projects Advising & Grants: Dr. Lian leads significant externally funded initiatives including 'Rainmaker Readiness' (Cambodia teacher training post-COVID), 'Educational Research in Indonesia,' and 'Policy Implementation in Cambodian Higher Education.' Her work develops practical frameworks for under-resourced institutions while building local research capacity through student supervision and international collaboration. Research Ecosystem: She operates within a robust international network focused on Southeast Asian educational challenges, particularly in Indonesia and Cambodia. Her projects integrate local cultural contexts with global educational technologies, emphasizing sustainable development through UNESCO SDG 4 (Quality Education). Current work explores AI-human collaboration models grounded in humanistic principles for transformative learning.

• Digital Art
• Human-Computer Interaction
• Sustainable Design
• +3 more

Hye Yeon Nam is an Associate Professor at the Hillier College of Architecture and Design, New Jersey Institute of Technology. Her work bridges digital art, robotics, and sustainable design through interactive installations and critical inquiry. Research focus on ecological interfaces Expertise in human-robot cohabitation Advances digital craft methodologies Explores sociable systems in art Recent projects like FloraWear integrate living materials with robotics, while Ecological Robotics investigates environmental sensing. Her practice combines creative coding, STEAM education, and responsive technologies to address climate and social challenges. Scientific output reveals expertise in: Living wearables Coastal change visualization Interactive ecological systems Artistic robotic behavior Digital craft innovation Performance-driven interfaces

• Distributed Machine Learning
• Cyber Security
• Edge Computing
• +2 more

Zhengxin Yu is a Lecturer at Lancaster University , affiliated with the School of Computing and Communications . She obtained her Ph.D. in Computer Science from the University of Exeter (UK) in 2021. Current Position: Lecturer in Security and Protection Science Department: Computing and Communications Research Groups: Security Lancaster (Distributed Systems, Secure Machine Learning and Intelligence, Systems Security) Her research focuses on Distributed Machine Learning , Cyber Security , and Edge Computing . Key contributions include advancing federated learning frameworks, robust caching mechanisms in multi-edge systems, and privacy-preserving decentralized learning architectures. Recent publications (2022–2025) highlight her work in federated learning, edge computing, reinforcement learning, and adversarial defense. Trends include optimizing resource allocation in blockchain-enabled systems, modeling mobile edge computing performance, and enhancing resilience in distributed environments. PhD Students: Marta Adamska, Daria Smirnova, Yushi Wang Labs/Teams: Security Lancaster, with subgroups in Distributed Systems and Systems Security

Ketil StølenView profile

Professor

• Software Engineering
• Cybersecurity
• Risk Analysis
• +4 more

Ketil Stølen is a Professor at the University of Oslo's Department of Informatics and an Adjunct Professor in Computer Science. His roles include Chief Scientist at SINTEF Digital and leadership in numerous research projects focusing on cybersecurity, risk analysis, and formal methods. He holds a PhD from the University of Manchester (1990) and a Cand Scient from the University of Oslo (1986). His research interests span software engineering, formal methods, and model-driven security analysis. He has led major projects such as the Gemini Centre on IoT, the CORAS risk analysis framework, and the CORAS tool development. Stølen has authored several books including Cyber-Risk Management (Springer, 2015) and Technology Science (Springer, 2023). His work emphasizes rigorous approaches to security testing, risk assessment, and system design. He has supervised multiple PhD graduates and taught courses on formal methods and cybersecurity at the University of Oslo and other institutions. His contributions include pioneering methods like the CORAS approach for security risk analysis and the STAIRS framework for UML sequence diagrams. He is an elected member of the Norwegian Academy of Technological Sciences. Notable projects include the AGRA risk assessment initiative and the EMERGENCY decision support system for crisis management. His research bridges theoretical formalisms with practical applications in critical infrastructure and emergency response systems.

• Technology in Minoritized Communities
• Data-Driven Politics in Education
• Edtech and Racial Inequality
• +5 more

Roderic N. Crooks is an Associate Professor in the Department of Informatics at the University of California, Irvine , where he examines how technology interacts with minoritized communities, particularly in educational contexts. His research focuses on the subjective nature of data aggregation in schools, the surveillance implications of edtech, and the racialized extraction of value from marginalized populations. Education: Ph.D. in Information Studies (UCLA, 2016); M.L.I.S. (UCLA, 2011); M.F.A. in Creative Writing (University of Iowa, 2005); B.F.A. in Visual Arts (School of Visual Arts, 1999) Research Interests center on technology's role in racially and economically segregated schools, data-driven decision-making, and community-led technology integration. His upcoming book Access Is Capture: How Edtech Reproduces Racial Inequality (UC Press, 2024) argues that edtech benefits privileged actors while exacerbating systemic inequities. Recent Publications analyze agonistic data practices, extractive edtech platforms, and the temporal dynamics of educational technology. His work has appeared in The Information Society , Surveillance & Society , and Science, Technology, & Human Values . Honors include the 2019 Bren School Research Award and the UC President’s Postdoctoral Fellowship. He serves on professional committees for the Society for Social Studies of Science and reviews for journals like Big Data & Society and Journal of Critical Library and Information Studies Teaching & Advocacy spans roles at UC Irvine, UCLA, and CUNY. He cofounded the UC Collaboratory for Ethnographic Design and works with community groups to address digital inequality.

Thomas Serban von DavierView profile

Researcher

• Human-Centred Computing
• Subjective Computing
• Creative Computing
• +8 more

Thomas Serban von Davier is a Researcher at the University of Oxford Department of Computer Science and an AI Research Scientist at Carnegie Mellon University's Software Engineering Institute . He also serves as an Affiliate Faculty Member at the Carnegie Mellon Institute for Strategy and Technology. DPhil in Computer Science (2024) from University of Oxford MS in Human-Computer Interaction from Carnegie Mellon University BS in Psychology and Human-Computer Interaction from Carnegie Mellon University His research focuses on Subjective Computing , Creative Computing , and Human-Centered AI , particularly in digital art analysis and responsible innovation. Current projects explore computational ambiguity, AI's role in art appreciation, and privacy risks in emerging technologies. Key publication themes include: AI Art Analysis (2025), Digital Rights (2023), and Human-Centered Design (2016). His work bridges computational methods with cultural contexts, emphasizing user agency and ethical considerations. Previously worked as a Data Engineer applying machine learning to user experience optimization. Collaborates with the Oxford Centre for Technology and Development on AI policy and development initiatives.

• Blockchain Applications
• Process Compliance
• Distributed Systems
• +2 more

Walid Fdhila is a Researcher in the Security and Privacy group within the Faculty of Computer Science, focusing on blockchain applications and process management systems. His technical expertise spans distributed systems, privacy-enhancing technologies, and compliance verification. Research domains include: Blockchain-based audit systems for healthcare Privacy-preserving federated learning Cryptocurrency transaction anonymity Process compliance in decentralized environments Verification of distributed business processes He leads the 'Decentralized Trust in Digital Societies' project and develops applications of distributed ledger technology. Recent work creates frameworks for privacy-aware process execution across organizational boundaries.

• Robotics
• Computer Vision
• Human-Robot Interaction
• +3 more

Alessio Xompero is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science. His work focuses on robotics, computer vision, and human-robot interaction, particularly in object affordance understanding, multimodal perception, and safe human-robot collaboration. He develops algorithms for robotic manipulation, perception under occlusion, and adversarial robustness in AI systems. Xompero contributes to benchmark datasets like CORSMAL and has published extensively on topics including container property prediction, audio-visual classification, and view-overlap recognition across cameras. His research integrates machine learning with robotics applications, addressing challenges such as real-time grasping, privacy-aware AI models, and sensor fusion. Notable projects include the mixed-reality dataset for 6D pose estimation and work on adversarial attacks/defenses in visual perception systems. Xompero's contributions advance both theoretical understanding and practical implementations of autonomous systems. Key themes in his recent work include improving robotic systems' adaptability to unstructured environments, enhancing safety in human-robot interactions, and developing interpretable models for privacy preservation. He actively participates in robotics competitions and benchmark evaluations to validate algorithmic performance under real-world conditions.

David GlanceView profile

Adjunct Professor

• Cybersecurity
• Health Informatics
• Artificial Intelligence
• +4 more

David Glance is an Adjunct Professor at the School of Physics, Maths and Computing, specializing in Computer Science and Software Engineering at The University of Western Australia. He holds a PhD in Physiology from Imperial College London (1985), focusing on placental blood flow mechanisms. His research expertise spans Cybersecurity, Health Informatics, AI, and Cloud Computing with notable work in adversarial machine learning, deep learning applications in healthcare, and ethical AI governance. Dr. Glance has contributed to 41 research outputs and secured 15 grants, including projects on dementia screening tools for Indigenous populations and AI-driven diagnostic support systems. His research interests emphasize translating technology into clinical practice, such as diabetic foot risk calculators and cancer diagnostic tools for general practitioners. Collaborations include global health organizations and interdisciplinary teams. He has advised on Australian parliamentary submissions regarding AI ethics and human rights in technology. Dr. Glance's work aligns with UN Sustainable Development Goals related to health and innovation. Recent publications explore adversarial attacks on deep learning models, cognitive bias modification for depression prevention, and visual field analysis using deep learning. He has led grants totaling over AUD millions, including a 4-year project enhancing Indigenous cognitive assessment tools. His engagement includes submissions to parliamentary inquiries and white papers on AI governance, reflecting his commitment to technology's societal impacts.

• Glaucoma Detection
• Ophthalmic Imaging
• Artificial Intelligence in Ophthalmology
• +2 more

Benjamin Yixing Xu, MD, PhD, is Associate Professor of Ophthalmology and Chief of the Glaucoma Service at the Keck School of Medicine, University of Southern California. His research develops novel interventions to prevent glaucoma-related vision loss, combining non-invasive ocular imaging and artificial intelligence for early detection. He investigates health disparities in glaucoma care and utilizes population studies like CHES and LALES to examine disease prevalence. Dr. Xu's work focuses extensively on primary angle closure glaucoma (PACG), leveraging advanced imaging and epidemiological methods. His research portfolio includes AI-based diagnostic tools, health outcome disparities, and ophthalmic informatics. Current projects examine stress biomarkers in glaucoma pathogenesis and federated learning approaches for multi-institutional data analysis. Education includes BS in Biomedical Engineering from Yale University, and MD/PhD from Columbia University through the NIH Medical Scientist Training Program. He completed residency at USC Roski Eye Institute and glaucoma fellowship at UCSD Shiley Eye Institute. Awards include Newsweek's America's Best Eye Doctors (2021-2023) and multiple teaching honors. America's Best Eye Doctors - Newsweek (2021-2023) USC Ophthalmology Attending Teaching Award (2019) USC Ophthalmology Resident Teaching Award (2016) Dr. Alfred P. Steiner Dean's Day Research Award (2011)

Sebastian MairView profile

Assistant Professor

• Statistical Machine Learning
• Unsupervised Learning
• Representation Learning
• +3 more

Sebastian Mair is an Assistant Professor at the Division of Statistics and Machine Learning (STIMA) at Linköping University, Sweden. He previously served as a postdoctoral researcher at the Division of Systems and Control at Uppsala University and completed his PhD in the Machine Learning Group at Leuphana University of Lüneburg. His academic journey includes a Master of Science in Computer Science and a Bachelor of Science in Mathematics from the Technical University of Darmstadt, as well as a Bachelor of Science in Computer Science from Hochschule Darmstadt University of Applied Sciences. His research focuses on statistical machine learning, with an emphasis on unsupervised learning, representation learning, and efficient data summarization. Key areas include generative modeling, probabilistic methods, and geometric data analysis. He has contributed to advancements in privacy amplification via importance sampling, task-specific graph subsampling, and self-supervised autoencoder architectures. Publications span topics like privacy-preserving techniques, graph algorithms, and medical treatment optimization. While no scientific awards are explicitly mentioned, his work demonstrates significant contributions to foundational machine learning research. As part of STIMA, he collaborates with a diverse team of researchers, including senior professors, postdocs, and PhD students. His teaching and research activities align with the division’s focus on modern data analysis and the international master’s program in Statistics and Machine Learning.

Toussaint NothiasView profile

Associate Clinical Professor

• Critical Tech Studies
• Global Communication
• Digital Rights
• +7 more

Toussaint Nothias is a Clinical Associate Professor and Director of Graduate Studies at NYU's XE: Experimental Humanities & Social Engagement, with an affiliation in the Department of Media, Culture, and Communication. Previously, he served as Research Director at Stanford University’s Digital Civil Society Lab. His interdisciplinary research focuses on postcolonial/decolonial media studies, digital rights, and the socio-political impacts of technology in Africa and global contexts. Education: PhD in Media and Communication (University of Leeds), MA in Cultural and Creative Industries (King’s College London), BA in Philosophy (Paris Nanterre University). Research interests include critical tech studies, data justice, and the legacies of colonialism in media practices. Key projects explore zero-rating policies, AI’s impact on assembly rights, and digital colonialism. His work critiques Western media representations of Africa, advocating for decolonized frameworks. Publications span journals like Journal of Communication and Media, Culture & Society , addressing topics from Facebook’s Free Basics to postcolonial reflexivity in journalism. Awards include the ICA Outstanding Article Award and IAMCR Stuart Hall Award. Nothias leads initiatives on digital public policy and civil society, emphasizing cross-sector collaboration. He co-edits volumes on AI and assembly, and his work bridges academia, activism, and policy-making.

Gilles FalquetView profile

Academic

• Semantic Web
• Ontology Engineering
• Information Retrieval
• +3 more

Gilles Falquet is an Honorary Professor at the University of Geneva, affiliated with the Research Institute for Statistics and Information Science (IISIS). He holds a Ph.D. from the University of Geneva and is associated with the Faculty of Economics and Social Sciences and the Hautes études commerciales (HEC) department. His research focuses on knowledge engineering, semantic web technologies, ontology management, and information retrieval. Key areas include semantic hyperbooks, ontology-based systems, 3D visualization, and knowledge integration in urban and healthcare domains. He teaches courses such as Semantic Web Technologies, Algorithmics, and Knowledge Organization Systems at the Computer Science Department (CUI). Falquet’s work involves developing tools for semantic annotation, information visualization in 3D environments, and collaborative knowledge systems. He collaborates with institutions like the Independent Scientific Research Institute (ISRI) and has contributed to projects on urban ontologies, citizen science, and health information systems. His research spans interdisciplinary applications, including the formalization of historical documents (e.g., RCnum project), health behavioral change via mobile apps, and the integration of geospatial data with semantic models. Falquet’s publications reflect his expertise in ontology engineering, data management, and the application of semantic technologies to real-world challenges.

• Security Testing
• Software Testing
• Computer Security
• +5 more

Dr. Ishbel Mary Macdonald Duncan is an Honorary Senior Lecturer at the University of St Andrews' School of Computer Science. She leads interdisciplinary projects such as the Cyber Nexus initiative (funded at £420K by the Scottish Government) and the Virtual Dive Experience, collaborating with industry and cultural heritage organizations. Her research focuses on security evaluation, software testing, educational technology, and virtual worlds applications in heritage preservation and student orientation. Education: PhD in Strong Mutation Testing from the University of Durham (1989–1993), BSc from the University of St Andrews. Professional affiliations include IEEE, ACM, and ISSA. Research Highlights: Security Testing: Network security, intrusion detection, and vulnerability detection. Virtual Worlds: Developing OpenVirtualWorlds.org for cultural heritage (e.g., St Andrews Castle, Linlithgow Palace), ViStA for international student orientation, and the Virtual Dive Experience with the Sea Bird Centre. Education Technology: Agent-based learning systems for Java programming education and metrics for software testing visualization. Grants & Projects: EU-funded CINE (€200K) and CUPIDO (€20K) for cultural heritage SMEs. Abertay-led Tay Cities Cyber Security initiative (£20M). Scottish Funding Council grants for heritage response to COVID-19 and digital infrastructure. Expertise: Security systems, software metrics, system failure analysis, and large-scale distributed testing methodologies.