Find Academic Supervisors

• Artificial Intelligence
• AI & Law
• Computational Argumentation
• +9 more

Prof. Floris Bex (Utrecht University) is a leading scholar in AI & Law, focusing on explainable AI , computational argumentation , and responsible AI development . He holds a dual appointment at the Molengraaff Institute for Private Law and Department of Information and Computing Sciences , bridging legal theory with technical AI innovation. His work emphasizes transparency in high-risk domains like policing and judicial decision-making. Scientific Director, National Police Lab AI Member, Board of Advisory Scientific Research (WODC), Ministry of Justice Editorial roles in Artificial Intelligence and Law and Argument and Computation His research combines symbolic and subsymbolic AI to create systems that reason with legal arguments, including projects like ALGOPOL and the Formal Explanations with Computational Argumentation framework. He has developed an explainable AI system for crime report assessment that improves citizen trust through transparent rejections. Key publications span 2016–2024 , with recent work on argumentation-based explanations , incomplete evidence handling , and human-AI collaboration in policing . His projects integrate Bayesian networks with argumentation theory to address real-world challenges in digital justice and public safety. Scientific awards include: Editorial board member, Artificial Intelligence and Law Scientific Advisor to Dutch National Police Lead in ICAI network collaborations He teaches Computational Argumentation and Law and Computer Science , and has supervised numerous AI & Law projects involving students like Daphne Odekerken and Anton Borg.

Kyle PetersonView profile

Professor

• Financial Analysts
• Corporate Disclosure
• Financial Statement Complexity
• +4 more

Kyle Peterson serves as the Director of the School of Accounting and holds the Charles E. Johnson Memorial Professorship at the Lundquist College of Business, University of Oregon. He specializes in financial analysts, corporate disclosure, and financial statement complexity. His research has been published in top journals such as The Accounting Review and Management Science . He holds a PhD from the University of Michigan and previously worked at Deloitte & Touche LLP. Education: PhD (2008, University of Michigan), MAcc (2001, Brigham Young University), BS in Accounting (2001, Brigham Young University) His research interests focus on improving the comparability and transparency of corporate financial disclosures, leveraging textual analysis and machine learning. Recent studies examine tax disclosure predictability, SPAC merger reporting quality, and analyst coverage strategies. His work bridges accounting practices with legal, regulatory, and strategic business challenges. Award highlights include the Robert and Lois Braddock Research Scholar (2020–present), multiple teaching awards (2014–2024), and the Thomas C. Stewart Distinguished Faculty Award (2019). His contributions span academic research, industry collaboration, and educational leadership in the School of Accounting.

Alfred KobsaView profile

Professor

• Privacy
• Personalization
• Human-Computer Interaction
• +3 more

Alfred Kobsa is a Professor in the Department of Informatics at the University of California, Irvine, where his research examines the critical balance between personalized technology and user privacy in e-commerce and health systems. Collaborating with industry leaders like Microsoft and Samsung, he develops privacy-respecting frameworks that enhance user experience while driving business value through ethical data practices. His primary research domains include privacy in social network sites, Internet of Things (IoT) ecosystems, and health informatics for chronic disease management. Professor Kobsa investigates how contextual factors and cultural differences influence privacy decisions, designing mobile applications that enable personalized behavioral health rules—such as gamified tools for children managing asthma or diabetes and "Mi Saludad, Mi Vida" for breast cancer survivors. Analysis of his 15 most recent publications reveals a strong trajectory toward predictive privacy models in ubiquitous computing environments, with increasing emphasis on health applications for vulnerable populations. His work consistently bridges cross-cultural validation studies with practical IoT privacy solutions, demonstrating how granular privacy controls can coexist with personalized services. Professor Kobsa has secured significant research funding through federal grants including "EAGER: Collaborative: PRICE" (focused on household IoT privacy decisions) and "TWC SBE: TTP Option," alongside industry partnerships that translate theoretical insights into real-world applications for global technology companies.

Geertje TijsmaView profile

Researcher

• Community Service
• Transdisciplinary Research
• Service Learning
• +4 more

Geertje Tijsma is a Research Associate at the Faculty of Science , VU Amsterdam, affiliated with the Athena Institute and Network Institute. Her work focuses on community-university partnerships, service learning, and sustainability education, emphasizing transdisciplinary approaches and participatory action research. Current projects include promoting renewable energy equity in Amsterdam and fostering open science collaboration in India and Malaysia. She teaches courses like Community-based Health Interventions and Interdisciplinary Community Service Learning . Her research explores institutionalizing service learning, co-creating knowledge with communities, and addressing societal challenges through interdisciplinary education. Recent publications analyze reciprocity in partnerships and transdisciplinary sustainability education frameworks. Geertje collaborates on initiatives linking science with society, such as public library engagement and urban knowledge infrastructures. No scientific awards are mentioned in the provided data.

• Global Energy Politics
• International Relations
• Learning and Teaching
• +3 more

Dr. Andrew Judge is a Senior Lecturer in Politics and International Relations at the University of Glasgow, affiliated with the Department of Political & International Studies. He currently serves as Programme Director for the MA Social Sciences. His research focuses on Global Energy Politics, International Relations, and innovative pedagogical methods like virtual reality in teaching. He has contributed to understanding securitization theory, EU energy policy dynamics, and crisis governance. His work bridges theoretical research with practical applications, including policy writing assessments and mentoring practices in higher education. His research interests include three core areas: the political rationale behind learning in International Relations, the securitization of political issues, and accelerating energy transitions while ensuring energy justice. He has published widely on EU energy security, Brexit impacts, and pandemic governance. Teaching innovations using VR technology have been central to recent projects, focusing on microbiology education and experiential learning. His articles highlight trends in energy and security studies, EU policy analysis, and educational technology. Notable works include frameworks for securitization success and studies on social distancing compliance during the pandemic. He has also engaged in grants exploring Brexit’s crisis governance implications. As an Associate Editor of the Politics journal, he actively contributes to academic discourse. Dr. Judge’s advising focuses on energy transition politics and climate change governance. He collaborates with institutions like Policy Scotland and has presented at major conferences such as the SEB Centenary Conference and Microbiology Society Annual Conference. His work bridges academic research with practical policy challenges, emphasizing interdisciplinary approaches to global issues.

• Human-Computer Interaction
• Virtual Environments
• User-Centered Design
• +4 more

Tarja Tiainen is a University Lecturer at the Faculty of Information Technology and Communication Sciences, Department of Computing Sciences, Tampere University. Her research focuses on virtual environments, user-centered design, and gender dynamics in ICT. She holds expertise in healthcare design, product development, and innovation diffusion. Her work explores how virtual prototyping enhances collaborative design processes in industries like healthcare and manufacturing. Notable research includes studies on gender bias in academic recruitment and the perception of renewable energy infrastructure using VR. Tiainen has also contributed to methodologies for evaluating user experiences in virtual spaces, emphasizing ethical considerations and semantic clarity for diverse populations. Her publications span over two decades, addressing themes such as participatory design, ICT specialists' predispositions, and the interplay between technology and societal structures. She actively engages with interdisciplinary teams to bridge theoretical and applied research in computing sciences. Professional activities include organizing conferences like IRIS and FeBR, demonstrating her leadership in advancing information systems research. Her work consistently bridges technical innovation with human-centered values, particularly in contexts requiring equitable and inclusive design solutions.

Matthew DerooView profile

Associate Professor

• Critical Pedagogy
• Translanguaging in Education
• Transnational Identity
• +4 more

Matthew Deroo is an Associate Professor in the Department of Teaching & Learning at the University of Miami's School of Education and Human Development. His work focuses on critical pedagogies, translanguaging practices, and spatial justice in education. Deroo's research engages transnational identity formations, multilingual learners' experiences, and innovative curriculum design. He has published extensively on topics such as biased instructional materials, raciolinguistic landscapes, and digital spatial storytelling. His educational background and professional development emphasize transformative educational practices. Research interests include equity-centered teacher education, global language policies, and community-based inquiry methods. Deroo collaborates with educators to develop curricula that address systemic inequities through critical spatial and linguistic frameworks. Recent publications demonstrate a focus on mapping practices for social justice, bilingual teacher candidate experiences, and leveraging cultural heritage resources in youth education. While no awards are explicitly listed, his scholarship reflects significant contributions to critical educational theory and practice.

Hansi HettiarachchiView profile

Lecturer

• Machine Learning
• Natural Language Processing (NLP)
• Online Event Detection
• +6 more

Dr. Hansi Hettiarachchi is a Lecturer in Security and Protection Science at the Department of Computing and Communications, Lancaster University. Their research focuses on developing Machine Learning approaches for Natural Language Processing (NLP) tasks, particularly emphasizing societal and human security and safety. Key areas include online event detection (e.g., temporal profiling, trigger/argument detection), online safety (offensive content detection, misinformation identification), and information extraction (named entity recognition, rule generation). They also explore Large Language Models' capabilities, multilingual NLP, low-resource language support, and model explainability. Recent research includes creating datasets like SOLD (Sinhala Offensive Language Dataset) and CODE-ACCORD (building regulatory corpus), organizing the LoResLM workshop on low-resource languages, and advancing causal event detection via corpora like Causal News. They are affiliated with SCC (Data Science) and UCREL (University Centre for Computer Corpus Research on Language), contributing to interdisciplinary projects in computational linguistics and AI ethics. Publications span NLP applications in social media monitoring, regulatory compliance, and multilingual systems. While no awards are explicitly listed, their work reflects engagement with NLP's societal impacts and technical challenges in model transparency and resource-poor languages.

Tone Rove NilsenView profile

Associate Professor

• Early Childhood Education and Care (ECEC)
• Learning Environments
• Child Development
• +6 more

Tone Rove Nilsen is an Associate Professor at the Norwegian Centre for Learning Environment and Behavioral Research in Education, Faculty of Arts and Education, University of South-Eastern Norway (UIS), based in Porsgrunn. Her research focuses on early childhood education and care (ECEC), with particular emphasis on children's play, learning environments, play materials, bullying, and educational transitions. Her research interests lie at the intersection of pedagogy, child development, and educational policy. She investigates how physical environments in kindergartens affect children’s play opportunities, how teachers’ beliefs influence material selection, and how bullying manifests and can be addressed in early childhood settings. She also explores children’s perspectives during the transition from ECEC to formal schooling. The recent publications demonstrate a consistent focus on qualitative and multimethod research in ECEC, particularly within Norwegian contexts. Themes include play affordances, educational quality, music education, and bullying prevention. Her work often employs systematic reviews, case studies, and conference-based empirical presentations, reflecting strong engagement with both national and international research communities. Scientific Awards: No scientific awards mentioned in the provided text. She has collaborated extensively with researchers such as May Irene Furenes, Thomas Moser, Ingrid Midteide Løkken, and others on projects related to ECEC quality and behavioral research. While no specific grants are listed, her involvement in systematic reviews and multimethod studies suggests participation in funded research initiatives. She actively contributes to academic discourse through conference presentations at EECERA, ECER, and anti-bullying forums. Dr. Nilsen is affiliated with the Norwegian Centre for Learning Environment and Behavioral Research in Education, a research group dedicated to improving educational practices through evidence-based studies in learning environments and child behavior. Her work supports policy development, teacher education, and kindergarten practices in Norway.

Vincent M. ConroyView profile

Assistant Professor

• Anatomy
• Performing Arts Rehabilitation
• Orthopedics
• +4 more

Vincent M. Conroy serves as Assistant Professor in the Department of Physical Therapy and Rehabilitation Science at the University of Maryland, Baltimore School of Medicine, with secondary appointment in Neurobiology. His clinical and academic expertise spans Human Anatomy, Performing Arts Rehabilitation, Orthopedic Rehabilitation, and Geriatric Rehabilitation, with additional specialization in Wound Management. Dr. Conroy's educational foundation includes: D.Sc.P.T (2005) from University of Maryland School of Medicine B.S. in Physical Therapy (1990) from University of Maryland School of Medicine A.S. in Allied Health Science (1988) from Nassau County Community College His research program centers on evidence-based orthopedic physical therapy interventions with anatomical rationale, Functional Electrical Stimulation applications, and community service delivery to underserved populations. Clinical interests manifest in specialized rehabilitation for performing artists, geriatric patients, and complex orthopedic cases including Ehlers-Danlos Syndrome and pelvic floor dysfunction. His scholarly approach blends anatomical science with practical clinical solutions through case-based investigations. Analysis of his 2006-2017 publications reveals consistent innovation in rehabilitation methodologies, particularly FES-enhanced stroke recovery protocols and manual therapy techniques for elite athletes. His work demonstrates interdisciplinary connections between anatomy, neurorehabilitation, and women's health, frequently addressing niche clinical challenges through feasibility studies and case reports presented at national conferences. Professional recognition includes: UMB CBEL Fellowship Health Care Hero award (Maryland Daily Record, 2007) Alumnus of the Year (PT & Rehabilitation Science Alumni Association, 2007) Dr. Conroy maintains active professional engagement through the American Physical Therapy Association, Maryland Anatomical Board, and National Ski Patrol. His commitment to community extends through student-led service initiatives for underserved populations, though no formal advising relationships or grant funding details are publicly documented.

• Case-Based Reasoning
• Artificial Intelligence
• Knowledge Management
• +5 more

Professor Klaus-Dieter Althoff is a faculty member at the University of Hildesheim, working within the Intelligent Information Systems Division of the Mathematics, Natural Sciences, Economics & Computer Science school. His research focuses on applying artificial intelligence techniques, particularly case-based reasoning (CBR), to architectural design support systems and knowledge management applications. His research interests center on Case-Based Reasoning methodologies , AI-assisted architectural design , semantic building information modeling , and knowledge representation systems . Althoff's work bridges computer science with practical applications in architecture, developing systems that automate and enhance early-stage design processes through machine learning and case-based approaches. Analysis of his recent publications (2021-2024) reveals a strong trend toward integrating deep learning with traditional case-based reasoning for architectural applications. His research increasingly focuses on autocompletion of architectural spatial configurations , BIM (Building Information Modeling) enhancement , and explainable AI for design support . The work spans theoretical CBR methodology development and practical implementations in architectural design tools. Althoff maintains active research collaborations across disciplines, with publications spanning architecture, computer science, and cybersecurity applications of case-based reasoning. His work demonstrates consistent methodological development in CBR frameworks like FLEA and SEASALT, while expanding into new application domains including network security and fitness training systems.

Daisuke ShinomoriView profile

Professor

• Civil Law
• Family Law
• Inheritance Law
• +3 more

Daisuke Shinomori is a Professor in the Department of Law at the Faculty of Law, specializing in civil law with focused expertise in family law and inheritance law systems. He teaches a dedicated "Family Law" course examining legal resolutions for divorce and inheritance disputes under Japan's Civil Code, while leading the Civil Law Case Study Seminar where students analyze precedent cases through factual and verdict-based critical evaluation. Shinomori's research centers on Japan's underdeveloped inheritance law scholarship compared to property law, conducting comparative analyses between Japan's 1897 Civil Code (influenced by German, French, and Roman law) and contemporary German inheritance frameworks. His methodology involves direct translation and study of Roman law Latin texts like the "Compendium of the Doctrines," while examining family-law intersections with legal sociology, historical evolution, and philosophical foundations to position law as cultural heritage rather than mere technical instrument. In pedagogy, Shinomori emphasizes cultivating independent problem-solving abilities over memorization-based learning, arguing that legal education's core value lies in developing lifelong analytical skills applicable to any profession. His seminars challenge students to dissect case origins and verdict rationales, reflecting his conviction that university's primary role is teaching "how to study" for enduring professional adaptability beyond specialized knowledge acquisition.

Veronique HosteView profile

Professor

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +7 more

Veronique Hoste is a Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy , where she serves as Department Head of the Department of Translation, Interpreting and Communication and Director of the LT3 Language and Translation Technology Team . Her work bridges machine learning with natural language processing, focusing on semantics, discourse modeling, and practical applications in emotion detection, irony recognition, and customer service dialogue analysis. PhD in Computational Linguistics from University of Antwerp (2005) 2023-2024: Francqui Chair at Université Libre de Bruxelles 2024: Elected to Royal Flemish Academy of Belgium (KVAB) Research Interests: Specializes in machine learning approaches to coreference resolution, sentiment analysis, and multimodal emotion detection. Leads projects like FlandersAI (empathy in conversational agents), METRICS (emotion trajectories in service dialogues), and SENTiVENT (financial event extraction). Develops high-quality datasets (e.g., EmotioNL , ENCORE ) for broader NLP community use. Recent Publications span Dutch social media irony detection, Classical Chinese poetry sentiment analysis, and multimodal emotion datasets. Collaborates on interdisciplinary initiatives like NewsDNA (news recommendation) and SentEMO (commercial sentiment analysis). Scientific Awards Francqui Chair (2023-2024) KVAB Membership (2024) Outreach includes co-founding AlfaSent (LT3 spin-off for customer feedback analysis) and authoring the first Dutch-language NLP book Taaltechnologie Ontrafeld (2024). Coordinates AI education initiatives like the AI at School project.

Stuart MiddletonView profile

Associate Professor

• Natural Language Processing
• Information Extraction
• Human-in-the-loop NLP
• +17 more

Dr Stuart Middleton is an Associate Professor at the University of Southampton, affiliated with the School of Electronics and Computer Science within the Faculty of Engineering and Physical Sciences. He is a member of the Agents, Interaction and Complexity research group, the Centre for Machine Intelligence, and the Centre for Democratic Futures. His research focuses on Natural Language Processing (NLP), particularly information extraction and human-in-the-loop NLP, with applications in law enforcement, defence, mental health, and environmental science. His research interests include Natural Language Processing , Information Extraction , Human-in-the-loop NLP , Active Learning , Adversarial Training , Rationale-based Learning , and Argument Mining . He specializes in scenarios with limited or fragmented data, developing methods for few/zero-shot learning, graph-based models, and multimodal analysis. His work spans domains such as mental health, digital ethics (e.g., sharenting), defence, and climate science. The recent publications highlight a strong trend in applying NLP to societal challenges, including mental health monitoring through social media, ethical AI, multimodal argumentation in political debates, and climate data analysis. His work combines technical innovation in prompt engineering, summarization, and graph-based modeling with real-world impact. AI for defence: readiness, resilience and mental health (2024) Extraction and summarization of suicidal ideation evidence (2024) Sharenting and social media properties (2024) Implementing responsible innovation (2024) ConversationMoC: mood change detection (2024) Dr Middleton is actively involved in PhD supervision and academic leadership as Deputy Director of the UKRI MINDS Centre for Doctoral Training. He supervises multiple PhD students working on NLP and AI projects. He has secured research funding from ESRC and EPSRC for projects such as ProTecThem2.0 , SafeSpacesNLP , and GloSAT . He leads the Natural Language Processing modules COMP3225 (UG) and COMP6253 (PG) and mentors students in NLP research. He is a Fellow of The Alan Turing Institute and a member of the EPSRC peer review college, contributing to national research strategy and evaluation. His research is conducted within interdisciplinary teams, including collaborations with criminologists, social scientists, and environmental researchers. He is part of the Agents, Interaction and Complexity group and contributes to the Centre for Machine Intelligence and Centre for Democratic Futures , focusing on AI systems that interact meaningfully with humans and society.

Marek ReiView profile

Associate Professor

• Machine Learning
• Natural Language Processing
• planning and reasoning with LLMs models
• +4 more

Marek Rei is an Associate Professor of Machine Learning at Imperial College London and a Visiting Researcher at the University of Cambridge . He serves as an AI Advisor for Locai Labs and Esgrid Technologies , while providing consultancy through Perception Labs . PhD in Minimally supervised dependency-based methods for natural language processing (University of Cambridge, 2013) MPhil in Computer Speech, Text and Internet Technology (University of Cambridge Computer Lab, 2008-2009) Bachelor's in Creating a Model for Audiovisual Speech in Estonian (Tallinn University of Technology) His research spans Machine Learning and Natural Language Processing , focusing on planning and reasoning with LLMs , model explainability , medical data modeling , information extraction , and grammatical error correction . Recent publications highlight trends in LLM robustness , membership inference , medical NLP , and corporate sustainability analytics . Scientific accolades include the Best Paper Award at the IEEE Conference on Secure and Trustworthy Machine Learning (SaTML 2025) . Collaborative work with institutions like Microsoft (via SwiftKey acquisition) and contributions to neural sequence labeling frameworks demonstrate his technical and industry impact.