Find Academic Supervisors

Erik KetzanView profile

Lecturer

• Digital Humanities
• Computational Literary Studies
• Legal and Ethical Issues in Research Data
• +3 more

Erik Ketzan is a Lecturer in Digital Humanities and Cultural Computation at King's College London. He holds a PhD in English/Digital Humanities from Birkbeck, University of London, and has held postdoctoral roles at the University of Cologne and Trinity College Dublin, where he coordinated the MA in Digital Humanities and Culture. His research focuses on computational literary studies, legal/ethical issues in digital research, and corpus stylistics. He has published widely on topics such as Thomas Pynchon’s computational stylistics, legal frameworks for digital humanities research, and gender bias in historical texts. His work includes developing tools like Coleto for textual variant analysis and co-authoring the book *Thomas Pynchon and the Digital Humanities* (2022). Ketzan actively engages in policy advocacy, advising on copyright and data protection in DH, and has contributed to projects like CLARIN and the Leibniz Institute for the German Language. Education: PhD in English/Digital Humanities, Birkbeck, University of London Postdoctoral Researcher, University of Cologne (EncycNet Project) Postdoctoral Research and Teaching Fellow, Trinity College Dublin Research Interests: Computational approaches to literary analysis, legal challenges in data-driven research, corpus stylistics, and gender studies in historical corpora. Teaching: Courses include Python for the humanities, computational literary studies, and legal issues in digital humanities.

• Artificial Intelligence
• Neurosymbolic AI
• Logic and AI
• +7 more

Vaishak Belle is a Reader in Logic and Learning at the School of Informatics, University of Edinburgh, and serves as Director of Research and Innovation at the Bayes Centre (40% position). His academic career focuses on the critical intersection of artificial intelligence, formal logic, and machine learning systems. His research spans multiple domains within AI: Neurosymbolic AI integration approaches Logic-based machine learning frameworks Ethics, fairness, and responsibility in AI systems Generative AI and its societal impact Robotics with advanced reasoning capabilities Causal modeling and probabilistic reasoning Belle leads a research laboratory dedicated to advancing neurosymbolic AI, which combines the explainability of symbolic systems with the learning capabilities of neural networks. His recent work has explored abduction in logical frameworks, formal languages for AI safety, and the relevance of logic for general-purpose AI systems. He has made significant contributions to bridging the gap between theoretical AI foundations and practical applications. His publications demonstrate consistent focus on creating AI systems that can reason formally while learning from data, with applications ranging from robotics to ethical decision-making frameworks. His research addresses fundamental challenges in developing trustworthy, explainable AI that can operate safely in complex environments. Beyond technical research, Belle is actively engaged in AI education through executive programs on AI leadership and ethics, and has contributed to public understanding through his children's book "The girl and the robot" which explores human-robot relationships and emotional projection onto artificial agents. He maintains an active presence in the international AI research community, regularly participating in major workshops including Dagstuhl seminars on neurosymbolic AI, and collaborating with researchers across disciplines from computer science to philosophy.

Hyowon GweonView profile

Associate Professor

• Computational Approaches
• Developmental Approaches
• Education
• +6 more

Hyowon Gweon is an Associate Professor in the Department of Psychology at Stanford University. As the leader of the Social Learning Lab, her research focuses on how humans learn from others and help others learn, employing interdisciplinary methods including developmental, computational, and neuroimaging approaches. She holds a PhD in Cognitive Science from MIT (2012) and joined Stanford in 2014 after a postdoc at MIT. Her research interests span computational approaches to social learning, developmental psychology, neuroimaging, and education. She has received notable awards such as the APS Janet Spence Award (2020), James S. McDonnell Scholar Award (2018), and Marr Prize (2010). Her work explores topics like counterfactual reasoning, social cognition in infants, and embodied AI benchmarks. Labs/Teams: Social Learning Lab Key Themes: Prosocial behavior, theory of mind, cognitive development, and human-AI interaction. Her recent articles investigate infant gaze behavior, temporal reasoning in children, and strategic communication in preschoolers. Grants and advising details are not explicitly listed in the provided text.

Sebastian RudolphView profile

Professor

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Description Logics
• +7 more

Prof. Sebastian Rudolph is a Professor of Computational Logic at the Institute for Artificial Intelligence , Faculty of Computer Science , TU Dresden. Since 2021, he has been an Affiliate Member of the Faculty of Mathematics. His research spans theoretical and applied artificial intelligence, focusing on Knowledge Representation and Reasoning through formalisms like Description Logics, Existential Rules, and Formal Concept Analysis, with applications in Semantic Technologies. 2017 : ERC Consolidator Grant for decidability principles in logic-based knowledge representation 2006-2013 : Postdoctoral researcher, project leader, and Privatdozent at KIT's Institute AIFB 2011 : Habilitation at KIT Earlier : PhD in Algebra and teaching qualification in mathematics, physics, and computer science at TU Dresden His recent publications address decidability of logical reasoning, non-monotonic extensions in formal concept analysis, standpoint logics, and multiagent systems. He supervises the DeciGUT and KIMEDS projects, and is involved in the SECAI and ScaDS.AI centers. Teaching activities include courses on Theoretical Computer Science, Existential Rules, and Formal Concept Analysis.

• Computational Linguistics
• Natural Language Processing (NLP)
• Dependency Parsing
• +5 more

Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.

Giuseppe MarcocciView profile

Professor

• Early Modern Global History
• Iberian Empires
• Portuguese Empire
• +7 more

Giuseppe Marcocci serves as Professor of Early Modern Global History at the University of Oxford and holds the position of Official Fellow at Exeter College. His academic career spans institutions across Italy and the United Kingdom, with a focus on transnational historical frameworks connecting Iberian empires to global developments. Marcocci completed his undergraduate education at the University of Pisa before earning his PhD from the Scuola Normale Superiore in 2008. His doctoral research examined early modern Portuguese imperial ideology, establishing the foundation for his subsequent scholarly trajectory. His research interrogates power dynamics within Iberian global empires through three interconnected lenses: imperial ideology and visual dissent (particularly political iconoclasm in colonial contexts), religious transformations (centering on the Inquisition, missionary activity, and convert agency), and global knowledge production. Marcocci employs microhistorical approaches to reveal transnational networks, as evidenced by his current projects on Portuguese mercenary systems in India and the material dimensions of heresy. Analysis of his publication record reveals a consistent methodological innovation—bridging archival discoveries from five continents with theoretical frameworks that challenge Eurocentric narratives of early modernity. His work consistently demonstrates how marginalized voices and visual practices shaped imperial structures across Portuguese and Spanish domains. Marcocci actively mentors the next generation of historians through supervision of eight doctoral candidates whose research spans Iberian global history. He contributes significantly to Oxford's academic infrastructure as Chair of the Oxford Centre for European History and convenor of the Iberian History Seminar series. His collaborative initiatives—including international workshops on visual dissent and material culture—demonstrate commitment to building interdisciplinary research communities. Current projects examining same-sex marriage memory distortion and revising Portuguese Inquisition historiography further extend his impact across gender studies and religious history.

Chanchal K. RoyView profile

Professor

• Code Clone Detection and Analysis
• Software Evolution and Maintenance
• Software Analytics Research
• +3 more

Chanchal K. Roy is Professor of Software Engineering/Computer Science at the University of Saskatchewan and Co-Director of the Software Research Lab. He leads an NSERC CREATE graduate program on Software Analytics Research and co-leads the Data Management group for an NSERC CFREF project on Food Security, with over 170 publications cited 6,000+ times. His research centers on software clone detection using the widely adopted NICAD system, software evolution, empirical studies, and AI-driven software analytics. Recent work integrates large language models for code generation, clone detection in the AI era, and developer interactions with tools like ChatGPT, emphasizing practical applications in maintenance and analytics. Analysis of his 15 most recent publications reveals a strong trend toward AI/ML integration in software engineering: 12 of 15 articles (2025) explore LLMs, quantum computing, or deep learning for tasks like bug localization, code snippet generation, and feature-toggle analysis. Key themes include empirical validation of AI tools, Stack Overflow data mining, and cross-domain frameworks for Society 5.0. His scientific awards include: Most Influential Paper Awards (SANER 2018, ICPC 2018) Outstanding Young Computer Science Researcher Award (CS-Can/Info-Can, 2018) New Researcher Award (University of Saskatchewan, 2019) New Scientist Research Award (College of Arts and Science, 2019) As lead of the NSERC CREATE program and CFREF data group, he mentors graduate students in software analytics while securing major grants. He actively serves on program committees for ASE, ICSE, and FSE, reviewing journals and organizing workshops on clone detection and empirical methods. His lab focuses on real-world applications in food security data management and software evolution. The Software Research Lab, co-directed by Roy, drives projects like NICAD and the NSERC CREATE initiative, emphasizing open-source contributions and industry collaboration. Current efforts include quantum-SE integration and AI-augmented maintenance tools under the CFREF food security mandate.

Stuart HargreavesView profile

Associate Professor

• Information Law
• Privacy Law
• Constitutional Law
• +4 more

Stuart Hargreaves is an Associate Professor at the Faculty of Law , The Chinese University of Hong Kong . His research focuses on information and privacy law and constitutional law and legal theory , reflecting his prior legal practice and academic background. Education: SJD, University of Toronto (2013) BCL, Oxford University (2008) JD, Osgoode Hall Law School (2006) BA in Politics & Sociology, McGill University (2000) His work examines the intersection of artificial intelligence and legal education , with projects like “Teaching Avatars” using AI for educational content creation. He also investigates surveillance technologies , privacy law , and constitutional rights in the context of Hong Kong’s political and legal environment. Scientific Awards and Grants: CUHK Teaching Excellence Award (2017) CUHK Direct Grant for Research University Grants Committee Teaching Development Grant Research Grants Council General Research Fund Joseph-Armand Bombardier Canada Graduate Scholarship Google Policy Fellowship He has contributed to AI in legal pedagogy through multiple conference presentations (e.g., “Teaching Avatars” at the 2024 CUHK Teaching & Learning Innovation Expo) and serves on the Board of Advisors for Teach for Hong Kong . His external roles include journal reviewing and LAWASIA membership.

Martha Sidury ChristiansenView profile

Professor

• Sociolinguistics
• Digital Literacies
• Language Ideologies
• +6 more

Dr. Martha Sidury Christiansen is a Professor of Applied Linguistics/TESOL at the University of Texas at San Antonio , where she serves in the College of Education and Human Development . She is the Principal Investigator of Project RESPETO , a NSF-funded initiative exploring racial equity in engineering education. Her work spans sociolinguistics, digital literacies, and raciolinguistic analysis, with a focus on transnational multilingual communities. Born in Veracruz, Mexico Ph.D. in Foreign/Second Language Education (Ohio State University, 2013) M.A. in English Composition (Indiana University, 2007) B.A. in English Language Teaching (Universidad Veracruzana, 2002) Her research examines how transnational youth navigate digital spaces through multiliteracies , challenges Western academic writing norms via Mexican decolonial methodologies , and investigates raciolinguistic intersections in identity formation. The 15 most recent publications reveal a strong focus on digital communication , transnationalism , and critical pedagogy across journals like TESOL Quarterly and Language@Internet . 2023-2025: Expanding raciolinguistic frameworks in digital contexts 2021-2022: Analyzing multimodal identity construction 2019-2020: Exploring Mexican bilinguals' online language use She has received multiple honors including ACUE Fellow (2023), Fulbright Scholar (2017), and Faculty Leadership Fellow (2021-2022). Her presentations at conferences like ICOLLITE and DDVM Lab highlight her expertise in critical sociolinguistic awareness and digital discourse analysis . Dr. Christiansen actively consults for nonprofits on linguistic equity and multilingual education .

• Machine Learning
• Artificial Intelligence
• Combinatorial Optimization
• +13 more

Yiming Yang is a Professor at the Language Technologies Institute and Machine Learning Department within the School of Computer Science at Carnegie Mellon University , where he has held faculty positions since 2003. His research spans foundational and applied aspects of machine learning , artificial intelligence , and scientific computing . Professor, Carnegie Mellon University (2003–Present) Associate Professor, Carnegie Mellon University (1996–2003) Yang's research focuses on LLM-based problem-solving agents , combinatorial optimization , and scalable oversight frameworks . His work explores diffusion models, Langevin dynamics, and Fourier neural operators for NP-hard problems, while advancing reinforcement learning techniques for self-play supervision and principle-driven fine-tuning of large language models. Recent publications highlight his contributions to code synthesis , PDE solving , and multi-agent reinforcement learning . Key methodologies include demonstration-guided control, retrieval-augmented reasoning, and test-time scaling laws. His team has developed frameworks like FEEDER for efficient in-context learning and μTransfer-FNO for zero-shot hyperparameter transfer in PDE solvers. Notable scientific achievements include: Best Student Paper Runner Up (2013) Best Theoretical Paper Award (1994) Best Theoretical Paper Award (1993) Yang has mentored over 20 PhD students and postdocs, including Shengyu Feng , Zhiqing Sun , and Aman Madaan , across domains like graph learning , extreme multi-label classification , and language model alignment .

• Forensic Psychology
• Sexual Assault
• Forensic Interviewing
• +3 more

William O'Donohue, Ph.D., is a Professor in the Department of Psychology at the University of Nevada, Reno (UNR), within the College of Science. He holds advanced degrees in both clinical psychology (Ph.D., SUNY Stony Brook) and philosophy (M.A., Indiana University). His research focuses on forensic psychology, sexual assault, evidence-based practice, and the philosophy of psychology. He has directed a NIJ-funded clinic for 27 years, providing free services to victims of sexual abuse, and secured over $3 million in grants. He has authored 90 books and 300+ publications, serving on key committees like the APA's DSM revision panel. Education: Ph.D. in Psychology, SUNY Stony Brook (1986) M.S. in Psychology, SUNY Stony Brook (1982) B.S. in Psychology, University of Illinois (1979) M.A. in Philosophy, Indiana University (1988) Research Themes: His work critically examines forensic interviewing protocols, ideological bias in psychology, and the scientific validity of therapeutic practices. He advocates for procedural justice in psychological practice and challenges social justice movements' methodological rigor. Grants & Clinical Work: His clinic's NIJ grant supports free services for sexual abuse victims. He has consulted for the U.S. military and legal professionals on evidence-based practices. Labs/Teams: Operates a long-term clinical research program focused on forensic assessment and victim support through his UNR clinic infrastructure.

Jason GibbsView profile

Associate Professor

• Entomology
• Wild Bee Taxonomy
• Integrative Taxonomy
• +13 more

Dr. Jason Gibbs is an Associate Professor in the Department of Entomology at the University of Manitoba, Faculty of Agricultural and Food Sciences. He also serves as the Curator of the J. B. Wallis / R. E. Roughley Museum of Entomology (WRME), a significant center for the study of bee biodiversity. His work is central to advancing knowledge in wild bee systematics, phylogenetics, and conservation. PhD in Biology, York University, Canada MSc in Botany, University of Toronto, Canada BSc in Biological Sciences, University of Toronto Scarborough, Canada His research focuses on the diversity, taxonomy, and conservation of wild bees , particularly halictid and panurgine bees. He employs integrative taxonomic approaches , combining morphological, molecular, and ecological data to resolve species boundaries and evolutionary relationships. His work extends to pollinator ecology , examining how habitat management, agricultural practices, and landscape changes affect bee communities and pollination services. He is deeply involved in bee conservation , including the rediscovery of rare species and the development of habitat strategies to support pollinators in human-modified landscapes. The trends in his recent publications reveal a strong emphasis on systematics and alpha-taxonomy , with numerous revisions of bee genera and checklists of regional faunas. He frequently uses DNA barcoding and phylogenomics to address taxonomic challenges. Additionally, his work explores pollination dynamics in agricultural systems , particularly in blueberry and other crops, assessing the roles of wild versus managed bees. There is a consistent theme of habitat enhancement and conservation across his research, with studies on floral strips, prairie restoration, and the impacts of land-use change. Dr. Gibbs is actively involved in mentoring and training the next generation of entomologists. His lab includes several graduate students and highly qualified personnel who contribute to his diverse research projects, as indicated by the asterisked names in his publications. He leads the Gibbs Wild Bee Lab, which is dedicated to understanding bee diversity and evolution. The lab combines field research with molecular and morphological analyses, and maintains close ties with the WRME museum, which serves as a vital resource for specimen-based research and education.

Christian ListView profile

Professor

• Decision-making
• Individual and collective choice
• Preference and judgment aggregation
• +9 more

Christian List is Professor of Philosophy and Decision Theory at Ludwig Maximilian University of Munich, where he serves as Co-Director of the Munich Center for Mathematical Philosophy (MCMP). Previously, he was Professor of Philosophy and Political Science at the London School of Economics until 2020. His work bridges philosophy, economics, and political science with a particular focus on individual and collective decision-making and the nature of intentional agency. Professor List's research spans multiple interconnected domains: theories of individual and collective choice (particularly social choice theory and judgment aggregation), free will and consciousness, the philosophy of mind and action, and the foundations of the social sciences. His work on group agency, developed in his influential book Group Agency with Philip Pettit, has reshaped debates about corporate entities and collective intentionality. His more recent work on free will, culminating in his book Why Free Will is Real , presents a scientifically grounded defense of free will against reductionist skepticism. His recent publications reveal a sophisticated integration of formal methods with deep philosophical questions, particularly regarding consciousness, probability aggregation, and the relationship between different levels of explanation. List's work consistently demonstrates how mathematical precision can illuminate fundamental philosophical problems while maintaining relevance to broader social and scientific contexts. Scientific Awards and Recognition: Elected Fellow of the British Academy (2014) Member of Academia Europaea (2023) Member of the Bavarian Academy of Sciences and Humanities (2022) Joseph B. Gittler Award from the American Philosophical Association (2020) Philip Leverhulme Prize in Philosophy (2007) 5th Social Choice and Welfare Prize (2010) List has supervised numerous PhD students and early-career researchers, many of whom have gone on to prominent positions in philosophy and related fields. His collaborative work with Franz Dietrich on judgment aggregation has been particularly influential. As Co-Director of the Munich Center for Mathematical Philosophy, he has secured substantial research funding and established MCMP as a leading international hub for formal and mathematical approaches to philosophical problems. Through the Munich Center for Mathematical Philosophy, List leads a vibrant research community that brings together philosophers, economists, political scientists, and mathematicians to tackle foundational questions using rigorous formal methods. The center hosts regular workshops, seminars, and visiting scholars, creating a dynamic intellectual environment that bridges disciplinary boundaries.

Chinmay KulkarniView profile

Assistant Professor

• Human Computer Interaction
• Large-scale Learning
• Automation
• +5 more

Chinmay Kulkarni is an Assistant Professor at Carnegie Mellon University's Human-Computer Interaction Institute, where he leads the Expertise@Scale lab. His research integrates large-scale data and automation to transform learning, work, and mentoring systems. Education : Ph.D. in Computer Science from Stanford University (recipient of the Arthur P Samuel Award) Previous Affiliations : Microsoft Research, Barcelona Supercomputing Center His research spans: Human-Computer Interaction design for massive collaboration Voice-controlled interfaces and AI tools Future of work in remote/hybrid environments Behavioral economics through tech interventions Creative entrepreneurship support systems Algorithmic feedback in education Recent publications with AI and education focus show strong trends in voice technology, peer feedback mechanisms, and scalable learning platforms. His lab's systems have been used by >100,000 users across 150 countries. Scientific Awards : Arthur P Samuel Award (Stanford thesis award) Advising & Grants : NSF grant recipient US Department of Education funding Office of Naval Research support Departmental fellowship Labs : Directs Expertise@Scale lab developing systems adopted by Coursera and edX. Current research group includes PhD students Yasmine Kotturi, Julia Cambre, Pranav Khadpe and Masters student Sayan Chaudhry.

Sarah SawyerView profile

Professor

• Philosophy of Mind
• Philosophy of Language
• Epistemology
• +4 more

Prof. Sarah Sawyer is a Professor of Philosophy at the University of Sussex, affiliated with the School of Media, Arts and Humanities. She holds roles as Vice-Chair of the Royal Institute of Philosophy and Deputy Director of the Sussex Centre for Consciousness Science. Her academic journey includes degrees from the University of St Andrews and King's College London, with prior positions at the University of Kansas and the University of Nebraska. Sawyer specializes in philosophy of mind, language, epistemology, and metaphysics, with a focus on conceptual engineering and semantic externalism. Education: PhD in Philosophy, King's College London MPhil in Philosophy, King's College London BA/MA (Hons) in Philosophy, University of St Andrews Her research explores topics like content externalism, fictional properties, and the role of concepts in fixing language. Sawyer supervises PhD students in interdisciplinary projects, such as consciousness studies and humor philosophy. Her work appears in journals like Inquiry and Erkenntnis , and she is an associate editor of the Australasian Journal of Philosophy . Her recent articles emphasize conceptual pluralism, truth in conceptual engineering, and critiques of narrow content theories. Sawyer advocates for conceptual amelioration, linking philosophical kinds to social and scientific practices. She also engages in public philosophy through the Royal Institute of Philosophy. Her advising includes current students like Steven Lau (conceptual analysis) and Anne Goliath (consciousness via art), alongside notable past graduates such as Joseph Gough and Jonathan Lee. She collaborates across disciplines, bridging cognitive science and sociology in her research.