Jiaang Li is a PhD Fellow and Guest Researcher at the Department of Computer Science , University of Copenhagen. His research spans Natural Language Processing , Computer Vision , and Multimodal Learning , focusing on vision-language models, word order sensitivity, and cross-modal understanding. PhD Fellow , Department of Computer Science, Pioneer AI (P1AI) Guest Researcher , Department of Computer Science, Natural Language Processing Research interests include: Vision-Language Model Analysis Multimodal Dataset Development Language Model Interpretability Human-Centred AI Applications Model Robustness and Ethics Recent publications highlight trends in: Vision-Language Concept Alignment Task-Oriented Model Evaluation Visual Culture Understanding Bias and Cultural Theory in AI Retrieval-Augmented Generation
Mathias Jehling is a Professor at the Karlsruhe Institute of Technology (KIT) and Acting Director of the Institute of Regional Science. He works at the Leibniz Institute of Ecological Urban and Regional Development (IOER) as a Research Associate in the Department of Spatial Information and Modeling. His research spans land use policy, urban morphology, settlement structure analysis, transport networks, and the energy transition. Education: Doctorate at KIT (2007-2008), ERASMUS at University of Aberdeen (2004-2010), Dipl.-Ing. at TU Kaiserslautern Current Projects: SubDense (2022-2025), DFG Form follows policy (2023-2026), GI-SP (2022-2024), SNF GoverDENSE (2020-2024) His research combines institutional theory with spatial analysis to study suburbanization, urban densification, and climate adaptation. Methodologically, he employs GIS, remote sensing, and comparative case studies across Europe and globally. Key themes include the interplay between policy frameworks and physical urban form, with a focus on justice and equity perspectives in planning. Scientific awards include the 2017 Reinhard Baumeister Prize for his dissertation work on suburban structures. He has published extensively on topics including: Densification dynamics and governance Land ownership impacts on urban development Climate adaptation planning tools Comparative European land policy Low-density residential area expansion Intercommunal cooperation in land use Jehling's work involves collaborations with TU Dortmund, University of Liverpool, IGN France, Université Gustave Eiffel, and Swiss National Science Foundation partners. He contributes to journals like Land Use Policy , ISPRS International Journal of Geo-Information , and Urban Studies , while maintaining affiliations with the International Academic Association on Planning, Law, and Property Rights.
Pedro Henrique Luz de Araujo is a member of the Faculty of Computer Science affiliated with the Research Group Data Mining and Machine Learning . His work focuses on Natural Language Processing , Language Modeling , and Behavioral Learning , particularly in Brazilian legal text domains. He has contributed to advancements in named entity recognition , hate speech detection , and specification-driven AI systems . Active in 2022-2025 with publications in PLoS ONE and top NLP conferences Organized the KONVENS 2024 conference Research emphasizes LLM calibration , multimodal classification , and domain-specific datasets His recent publications show expertise in large language models (2025: persona effects; 2024: specification overfitting, text-guided image clustering), NER techniques (2024), and legal document processing (2023: multimodal classification; 2020: VICTOR dataset, LeNER-Br).
Filippo Guccione is a contract lecturer at the Department of Biomedicine, Neuroscience and Advanced Diagnostics within the School of Medicine and Surgery at the University of Palermo (Unipa). His work spans rehabilitation sciences, physiotherapy, and healthcare diagnostics. University: University of Palermo (Unipa) School: School of Medicine and Surgery Department: Department of Biomedicine, Neuroscience and Advanced Diagnostics Academic Rank: Lecturer Research Interests: Filippo focuses on rehabilitation sciences, with specific emphasis on physiotherapy for musculoskeletal disorders, clinical risk management, healthcare policy, and the integration of technology in rehabilitation. His work addresses challenges in home-care services, professional autonomy, and multidisciplinary team dynamics. Key Trends in Publications: Rehabilitation for musculoskeletal injuries (e.g., rotator cuff, lateral epicondylitis) Health policy and organizational models in Sicilian healthcare Technological advancements in robotic rehabilitation and e-health Management of clinical risks in multidisciplinary teams Post-COVID and geriatric rehabilitation strategies Advising and Grants: While specific grants and advising roles are not explicitly listed, his edited theses suggest mentorship in rehabilitation sciences, focusing on clinical protocols, patient autonomy, and healthcare innovation.
Lisa Coates is a Lecturer in Law at Charles Sturt University (CSU), affiliated with the Centre for Law and Justice since joining in 2014. She is a principal practicing lawyer who established her own incorporated law firm in 2021 and contributed to Danny King Legal in 2024. Her teaching spans the Bachelor of Criminal Justice (JST201, JST220, JST204) and Bachelor of Laws (LAW216 Property Law), including authoring entire subject content. Her education includes a Bachelor of Arts, Bachelor of Laws, and Graduate Diploma in Legal Practice from the Australian National University (ANU), plus a Masters of Applied Laws (Business Transactions) and a Bachelor of Teaching from CSU. She was admitted to the Supreme Court of the ACT and High Court of Australia in 2001. Coates' research critically examines cultural and legislative responses to violence , particularly sexual assault laws influenced by #MeToo and one-punch legislation efficacy. She pioneers legal technology applications for regional practice, focusing on blockchain systems to address access-to-justice gaps. Her work bridges academic theory with courtroom experience, emphasizing human rights deficiencies in Australian law. Publications trend toward two converging themes: evolving criminal justice policy (sexual assault consent standards, coercive control, and violence deterrence) and technological innovation in law. The 2023-2024 blockchain research demonstrates her commitment to modernizing rural legal infrastructure, while earlier work analyzes societal impacts of moral panics and legislative responses. Scientific recognition includes: Mentoring Excellence Award from Australian Graduate School of Policing and Security (2023) Teaching Excellence Award (Centre for Law and Justice, 2017) Excellence in Community Engagement Award (Centre for Law and Justice, 2017) She actively contributes as a peer reviewer for Salus Journal and Cambridge University Press, with significant government engagement through law reform submissions. Her 2019 NSW Law Reform Commission submission on sexual assault consent was formally cited in the Commission's parliamentary report. Professional service includes CSU representation on the NSW Regional Women Lawyers and Bathurst Regional Community Safety Committee. Coates participates in the Law, Justice and Resilience Research Group at CSU, while maintaining active memberships in the Australasian Law Teachers Association, Australian Women Lawyers, NSW Women Lawyers, and NSW Law Society. Her practice as a principal lawyer integrates academic insights into real-world legal challenges across multiple jurisdictions.
Kirti Rajagopalan is an Assistant Professor in the Department of Biological Systems Engineering at Washington State University (WSU), part of the College of Agricultural, Human, and Natural Resource Sciences. Her research focuses on transdisciplinary approaches to address water and agricultural resource challenges through systems modeling, integrating engineering, economics, and environmental science. She leads the Agricultural, Natural and Human Systems Modeling Group, which develops tools for climate adaptation, water resource management, and crop resilience. Her work emphasizes leveraging satellite imagery, machine learning, and data-driven methods to solve real-world problems in precision agriculture and environmental sustainability. Key research interests include climate change impacts on crop water demand, precision agriculture technologies (e.g., SoilScan mobile app), and sustainable water management strategies. Dr. Rajagopalan collaborates widely with experts in entomology, statistics, and agronomy to ensure interdisciplinary problem-solving. Her contributions include advancing snow-water equivalent prediction models, evaluating seasonal forecast utility for agricultural decisions, and assessing vulnerabilities in the Columbia River Basin under climate change scenarios. Her recent projects highlight innovative applications of AI, such as the IGraSS framework for infrastructure network identification via satellite imagery, and UAV-based digital trait analysis for wheat yield prediction. She also investigates legal frameworks like water right forfeiture and the economic implications of agricultural water trading. Dr. Rajagopalan’s research has been supported by high-profile initiatives, including WSU’s leadership in a $20M NSF-funded AI institute for agriculture. Notably, her work bridges science and practice through public engagement, policy analysis, and stakeholder dialogues focused on the food-energy-water nexus. She emphasizes actionable solutions for resilient agricultural systems in the face of climate uncertainty, leveraging both technical and institutional innovations.
Amalia Sabiescu is a Lecturer in Media and Creative Industries at Loughborough University, specializing in information and communication technology (ICT) adoption in cultural practices and international/community development. Her research explores ICT’s role in cultural heritage preservation, museum studies, and addressing global inequalities through participatory design methods. She holds a PhD in Communication Sciences from the University of Lugano and has held postdoctoral roles at institutions including RMIT University (Australia), Coventry University (UK), and the University of Lugano (Switzerland). Her academic background includes qualitative and participatory research in Europe and South Africa, focusing on technology’s socio-cultural impacts. She co-edited significant publications like Museum Experience Design (Springer) and Digital Echoes: Spaces for Intangible and Performance-based Cultural Heritage (Palgrave Macmillan). Her work emphasizes ethical community engagement, cultural transparency, and equitable technology integration in marginalized communities. Key research themes include ICT-mediated cultural heritage transmission, social inclusion through technology, and designing participatory frameworks for low-income and minority groups. She investigates intersections between communication technologies and global disparities, particularly for youth at risk of exclusion. Her recent articles highlight themes like living archives, ethical research practices, and museum ecosystems. Notable contributions address challenges in heritage authorship, intercultural dialogue, and community-owned technology solutions in developing regions. While no awards are explicitly mentioned, her work reflects sustained impact in cultural and tech policy领域.
Kevin P. Fiori, M.D., M.P.H., M.S., is a faculty pediatrician at Montefiore Medical Center and Albert Einstein College of Medicine in the Bronx, New York. His scholarly work focuses on integrating social-determinants screening, community-health-worker interventions, and data-driven precision social medicine into pediatric primary-care workflows to advance health equity. Research Interests: Community pediatrics & social determinants of health Implementation science for health-equity interventions AI-enabled precision social medicine Housing & health residency curricula Patient-referral system optimization Across 58 peer-reviewed outputs since 2016, Fiori’s publications exhibit a clear trajectory from descriptive social-risk epidemiology to pragmatic implementation trials and AI-augmented screening tools. His 2024-2025 papers collectively push toward real-time analytics dashboards, cross-hospital referral platforms, and predictive models that embed social-risk signals into everyday clinical decision making. Scientific Awards: No specific honors or prizes are listed in the provided source material. Advising & Grants Narrative: While the text confirms an h-index of 12 and 494 citations, it does not enumerate graduate students, mentees, or awarded grant titles; hence these categories remain undocumented in the current extract. Labs & Teams: Fiori leads or collaborates on multiple Bronx-based implementation projects involving community health workers, medical-legal partnerships, and EHR-integrated social-risk screening initiatives, indicating an active inter-disciplinary team infrastructure within the Montefiore health system.
David G. Kay is an Adjunct Professor in computer science education, collaborating with researchers like André van der Hoek and Debra J. Richardson. His work spans software engineering education , informatics , and intellectual property law for CS instructors. His research interests focus on contextualizing computer science within legal and ethical frameworks, curriculum innovation, and effective course management for large introductory classes. He has contributed to curriculum development and pedagogical strategies in programming courses. His publications, primarily in SIGCSE, ICSE, and IEEE Software, address software patents , collaboration vs. plagiarism , and teaching assistants' training . While his articles emphasize legal aspects of technology , educational design , and curriculum policy , no scientific awards are explicitly mentioned in the provided data.
Katherine Wyers is a Doctoral Research Fellow at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Information Systems. Her research focuses on transgender health equity, LGBTQ+ rights in technology, and data privacy implications of anti-LGBTQ+ legislation. She contributes to the Information Systems research group at the university. Her research interests include Health Informatics, Digital Equity, and Technology Policy, with a particular emphasis on how information systems impact marginalized communities. Recent work includes exploring Health ICTs' role in transgender health equity and the safeguarding of personal data amid restrictive legislation. Publications highlight interdisciplinary approaches to ICT4D and LGBTQ+ inclusion, addressing global development challenges and digital identity management. While no scientific awards are listed, her work emphasizes applied research with societal impact. Wyers is part of the Information Systems (IS) research group at the university, contributing to academic discussions on technology's role in social equity and privacy.
Rebecca Hellmann is an Assistant Professor of Clinical Emergency Medicine at Weill Cornell Medical College, Cornell University, and an Assistant Attending Physician at NewYork-Presbyterian Hospital. Her roles include academic and clinical leadership in emergency medicine with a focus on geriatrics and elder mistreatment. She holds a D.O. from Touro College of Osteopathic Medicine and a B.S. from Washington University. Her research focuses on elder mistreatment, healthcare disparities, and ageism, particularly in emergency and long-term care settings. She has pioneered programs addressing elder abuse documentation, caregiver neglect, and resident-to-resident aggression in assisted living facilities. Her work emphasizes interdisciplinary collaboration and policy development to improve outcomes for aging populations. Dr. Hellmann has secured grants from the National Institute on Aging (NIA) for projects exploring racial and ethnic disparities in resident aggression and dementia care. Her publications in journals like the Journal of the American Geriatrics Society and Prehospital Emergency Care highlight her contributions to clinical protocols and public health strategies. She leads initiatives such as the Emergency Department/Hospital-Based Elder Mistreatment Response Program and collaborates with community organizations to address mistreatment through culturally adapted interventions. Her research also examines the impact of ageism on healthcare decisions and pandemic-related challenges in elder care.
Dr. Don Tuggener is a Researcher at the ZHAW Zurich University of Applied Sciences' School of Engineering, affiliated with the Centre for Artificial Intelligence. His work focuses on Natural Language Processing (NLP), Computational Linguistics, and Machine Learning applications in professional training and AI evaluation. He leads or collaborates on projects such as Meaning@Work (stress management for healthcare professionals), Virtual Kids (child interrogation training), and Favi-Score (bias detection in AI evaluation). His research emphasizes dialogue systems, generative AI ethics, and legal text analysis. Key projects include developing frameworks for conversational AI evaluation (Spot The Bot), large-scale legal text classification (LEDGAR corpus), and innovative training tools using LLMs. He has contributed to over 30 peer-reviewed publications since 2011, spanning topics like compound splitting in German, coreference resolution, and generative AI applications in professional contexts. As an editor for SwissText conferences and reviewer for ACL/EMNLP, he actively participates in the NLP academic community. Project Leadership: Virtual Kids, Interscriber Deputy Leadership: AutoNews, PRISM, SCAI Core Research Themes: AI ethics, dialogue systems, legal NLP Recent work highlights AI's role in professional education (e.g., investigative interviews with children) and societal challenges (hate speech mitigation via social influencers).
Phoebe Li is a Professor in Law and Technology and founding Director of the Sussex Centre for Law and Technology (SCLT) at the University of Sussex. Her research focuses on intellectual property, technology regulation, and international trade law, with particular emphasis on emerging technologies like AI, 3D bioprinting, and gene editing. She leads interdisciplinary projects addressing digital trade policy (CITP), AI ethics (UKRI RAI), and biomodifying technologies (BioGov). Education : PhD in Law, University of Edinburgh LLB, National Taiwan University Research Interests : Regulation of AI/ML in healthcare IP issues in biotechnology and digital innovation Post-Brexit UK data governance and trade agreements Global health tech policy Grants & Collaborations : ESRC Centre for Inclusive Trade Policy (CITP) UKRI Trustworthy Autonomous Systems (TAS) Leverhulme Trust BioGov project WHO/ITU/WIPO AI for Health initiatives Labs/Teams : Directs SCLT and collaborates with global networks like CHNUK Digital Hospital and the EU STOA.
Jerry Spanakis is an Assistant Professor at Maastricht University with dual affiliations: the Department of Advanced Computing Sciences (Faculty of Science and Engineering) and the Maastricht Law+Tech Lab (Faculty of Law). His roles include leading the EU Horizon project VOXReality, researching for NSMD/HumanAds/RegTech4AI initiatives, and serving as a technical expert for the European Commission’s e-enforcement academy. He coordinates MaastrichtNLP (NLP research group) and participates in the Open Science Community Maastricht. Education: PhD in Computational Intelligence (2007–2012) from the National Technical University of Athens, School of Electrical & Computer Engineering. Research Focus: Social Machine Learning: Developing responsible AI systems for societal challenges, including interpretable models for consumer protection and regulatory compliance. Computational Social Media: Analyzing social media data to detect online harms (e.g., misleading ads, content moderation failures) and model user behavior. Structuring Unstructured Data: Semantic organization of legal texts, social media, and multimodal data for applications in law, aviation, and public health. Publication Trends: Jerry's recent work (2023–2025) emphasizes NLP innovations for legal and regulatory domains, multilingual information retrieval, and ethical AI frameworks. Key themes include Large Language Model applications in law, influencer marketing compliance, and cross-lingual neural machine translation. Scientific Awards: None reported. Advising & Grants: Jerry supervises 7 PhD candidates and 100+ Master’s/Bachelor’s students in NLP, machine learning, and social computing. He leads the €2.8M EU project VOXReality (voice-driven XR interactions) and contributes to NWO/Philips grants on mental health analytics. Current grants focus on: AI-driven legal process automation (RegTech4AI) Dark pattern detection in e-commerce (NSMD) Influencer marketing transparency (HumanAds) Labs & Teams: Jerry founded MaastrichtNLP, a university-wide NLP research group, and co-leads the Law+Tech Lab, which develops computational tools for legal compliance. His teams collaborate with Deloitte, the European Commission, and healthcare institutions on applied AI projects.
Marianne Klungland Bahus is a Professor at the Department of Law within the School of Business and Law at the University of Agder. She is affiliated with the university's Center for E-Health and holds a PhD in health law and medical ethics from the University of Oslo. Her research focuses on health law, education law, and professional ethics, with particular emphasis on end-of-life decisions, child welfare, and legal-pedagogical dilemmas in educational settings. Education: PhD in Health Law and Medical Ethics (University of Oslo), Law Degree (University of Oslo). Research Interests: Her work explores the intersection of law and ethics in healthcare, particularly in pediatric and end-of-life contexts. She co-leads the interdisciplinary research group on Education Law, investigating legal challenges in Norwegian schools. Recent publications address child participation in welfare services, data governance in health systems, and ethical dilemmas in medical decision-making. Professional Activities: She lectures on ethics at the University of Oslo Faculty of Law, chairs the 'Health Law' website, and serves on regional medical ethics committees. Her articles analyze legal frameworks for patient autonomy, parental decision-making, and the child’s best interest in education and healthcare. Awards: No explicit awards listed, though her extensive contributions to legal and ethical scholarship are notable. She has held fellowships at the University of Oslo's Center for Medical Ethics and contributed to national policy reports on palliative care and healthcare prioritization. Grants & Advising: Leads the Education Law research team (with Camilla Herlofsen) and has advised on national healthcare reforms. Her work bridges legal theory and practical dilemmas in education and healthcare systems. Labs/Teams: Active in the Center for E-Health and the Education Law research group, focusing on digital health governance and legal challenges in education.
