Find Academic Supervisors

Marjorie Harness Goodwin is a Distinguished Research Professor in the Department of Anthropology at the University of California, Los Angeles (UCLA). Her research focuses on linguistic anthropology, particularly the embodied practices of human interaction in social, familial, and workplace contexts. She explores how language, touch, and environment shape social dynamics, morality, and cultural integration. Education: Ph.D., University of Pennsylvania (1978) Ph.D. Honoris Causa, Uppsala University (2014) Research Interests: Ethnography of communication Embodied interaction and touch Conversation analysis Language and gender Family and workplace ethnography Children's social organization Publications: Dr. Goodwin’s work includes monographs like *The Hidden Life of Girls* (2006) and *Embodied Family Choreography* (2018), alongside influential articles on haptic sociality and interactional analysis. Recent research emphasizes touch as a modality of care and social coordination, with interdisciplinary impact in anthropology, sociology, and healthcare. Awards: Ph.D. Honoris Causa, Uppsala University (2014) Advising & Grants: She has mentored numerous graduate students across Anthropology, Applied Linguistics, and Education. Her research has been presented globally, including the New York Academy of Sciences Distinguished Lecture Series (2022) and the Vectors Conference (2023). Labs & Teams: Her work is supported by UCLA’s Social Sciences Division and collaborations with interdisciplinary groups like the Colab Anthropology Lab (linked via her personal and lab websites).

• Ethnography of communication
• Embodied human interaction
• Conversation analysis
• +5 more

Professor Xue Li is a faculty member in the School of Electrical Engineering and Computer Science at the University of Queensland. His research focuses on machine learning, data mining, and their applications in healthcare, materials science, and computer vision. He has authored over 300 publications, including seminal works on knowledge graph completion, video quality enhancement, and alloy design using machine learning. His work bridges theoretical advancements with real-world applications, such as clinical diagnosis andTinyML systems. Key research interests include graph representation learning, medical informatics, and efficient algorithms for multimedia data. Notable contributions include developing commonsense-enhanced relation extraction models and frameworks for compressed video reconstruction. His research also addresses challenges in federated learning and privacy-preserving genomics. Prof. Li has collaborated extensively with industry and academia, contributing to projects in RFID systems, electronic nose pattern recognition, and cybersecurity. His work is published in top-tier venues like IEEE Transactions and ACM conferences. Despite no listed awards, his prolific output underscores academic impact.

• Machine Learning
• Data Mining
• Computer Vision
• +3 more

Dr. Giovanna Fassetta is a Senior Lecturer in Social Inclusion at the University of Glasgow's School of Education, specializing in the Culture, Literacies, Inclusion & Pedagogy department. With over 20 years of teaching experience across Italy, Eritrea, and the UK, she focuses on inclusive education for migrant, refugee, and asylum-seeking youth, linguistic diversity, and crisis-affected contexts. She teaches on the MSc Education for Sustainable Future and MEd Inclusive Education programs, leading courses like Approaches to Inclusive Learning and Dissertation supervision. Research Interests: Her work explores multilingualism's role in inclusion, resilience in conflict zones, and decolonial pedagogies using qualitative and participatory methods. She emphasizes visual and arts-based methodologies, particularly in marginalized communities. Grants & Projects: Co-Investigator in Education in Conflict (2024) and LINEs4Palestine (2024) Principal Investigator of Welcoming Languages 2 (2023) and AHRC-funded projects on Palestinian Arabic education Contributor to the Culture for Sustainable and Inclusive Peace (CUSP) Network Teaching & Supervision: Supervises PhD students researching refugee education, trauma, and inclusion. Leads courses on inclusive pedagogy and dissertation methodologies. Additional Roles: Member of the School of Education Ethics Committee and co-convenor of Glasgow Refugee Asylum and Migration Network (GRAMNet).

• Educational Inclusion
• Multilingualism
• Refugee Education
• +3 more

Associate Professor Margaret Grose is an academic at the University of Melbourne's Melbourne School of Design, specialising in Landscape Architecture. She holds an Associate Professorship and teaches ecological design principles in the Masters of Landscape Architecture and Bachelor of Environments programs. Her work bridges design and ecological science, with a focus on urban ecosystems, water management, and cultural landscapes. Education: Grose began in Agricultural Science (soils/water processes), completed a PhD in ecophysiology of Australian plants, followed by postdoctoral research at Oxford University and the University of Cambridge’s Mathematical Biology group. She later trained in Landscape Architecture and practiced as an environmental scientist in urban design projects. Research interests include integrating ecological science into design, the role of historical ecological knowledge in contemporary design, and urban water systems. Her recent Universitas 21 Fellowship explores teaching ecology to built environment students globally. Publications span topics like urban forestry in China, dryland river parks, and impacts of artificial light on ecosystems. She has received the 2011 Faculty Teaching Award for Excellence in the Masters program. Supervision focuses on river design, urban waterways, ecological planting resilience, and design of public spaces in Mediterranean climates. She collaborates on interdisciplinary projects combining ecology, urban planning, and cultural heritage.

• Ecological Design
• Urban Ecology
• Sustainable Landscapes
• +4 more

Paris Avgeriou is a Professor of Software Engineering at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute. He leads the Software Engineering and Architecture research group and serves as Editor-in-Chief of the Journal of Systems and Software . His expertise spans technical debt management, software architecture, self-adaptive systems, and embedded systems design. Avgeriou holds an office at Nijenborgh 9, Groningen, and actively advises academic institutions and funding bodies globally. Research Interests: Avgeriou's work focuses on advancing software architecture principles, technical debt lifecycle management, and the integration of AI in software engineering. His research emphasizes practical solutions for improving software quality, maintainability, and system dependability, particularly in embedded and self-adaptive contexts. Recent Contributions: Recent studies include frameworks for benefit-cost-risk decision-making in self-adaptive systems, automated technical debt management using ML, and tools for tracing architecture-related debt. He collaborates internationally, contributing to standards like the Copenhagen Manifesto for human-centered AI in software engineering. Grants & Awards: While no specific awards are listed, his editorial role and frequent conference contributions reflect recognition in the field. He chairs conference tracks and oversees workshops, fostering early-career researchers and artifact evaluation. Labs & Teams: His group is part of the Bernoulli Institute, working on platforms like SDK4ED for embedded systems and tools such as DebtViz for technical debt monitoring. The team explores intersections between systems engineering and software architecture in complex systems-of-systems.

• Software Engineering
• Technical Debt Management
• Software Architecture
• +3 more

Siddharth Garg is the Institute Associate Professor of Electrical and Computer Engineering at NYU Tandon School of Engineering, leading the EnSuRe Research Group. He holds a Ph.D. from Carnegie Mellon University (2009) and a B.Tech. from IIT Madras. His research focuses on secure and energy-efficient computing systems, integrating machine learning, cybersecurity, and hardware design. He previously held roles as Assistant Professor at NYU Tandon (2014-2020) and the University of Waterloo (2010-2014). Key affiliations include NYU Center for Cybersecurity (CCS), NYU Wireless, and the Center for Advanced Technology in Telecommunications. His work has been recognized with prestigious awards like the NSF CAREER Award (2015) and inclusion in Popular Science’s 'Brilliant 10' (2016). Notable research includes private inference optimization, secure hardware IP protection, and adversarial machine learning defenses. Publications highlight advancements in zero-knowledge proofs, AI-driven chip design, and mitigating backdoor attacks in neural networks. His grants include funding from NYU Wireless and NSF initiatives like the Chips4All project. The EnSuRe group emphasizes bridging software and hardware design gaps using AI and fostering cybersecurity education.

• Machine Learning
• Cybersecurity
• Computer Hardware Design
• +4 more

Gaël Georges Marcel Le Mens is a Full Professor at Pompeu Fabra University (UPF), holding a position in the Department of Economics and Business. He is also affiliated with the Barcelona School of Economics and serves as academic co-director of the Executive Master in Business Administration (EMBA) at the UPF Barcelona School of Management. His academic journey includes teaching roles at INSEAD, London Business School, ESADE, and the University of Lugano, alongside positions at the universities of Southern Denmark and New York. Education: Doctor in Business Administration, Stanford Graduate School of Business MSc in Management Science and Engineering, Stanford University Diploma in Engineering, Supélec Bachelor of Economics, University of Paris XI His research focuses on decision-making processes, information sampling, machine learning applications in semantics, and organizational behavior. Key themes include cognitive heuristics, social media impact on political expression, and the interplay between popularity and evaluation dynamics. He has explored how feedback mechanisms shape political communication and developed methodologies to compare human and machine conceptual judgments using models like BERT. His publications span journals such as PNAS , Psychological Review , and Industrial and Corporate Change , reflecting his interdisciplinary approach. Though no explicit awards are noted, his prolific output highlights sustained academic impact. He has advised multiple institutions on curriculum design and executive education, leveraging his cross-university teaching experience. Le Mens is affiliated with the Barcelona School of Management’s research teams and contributes to initiatives bridging artificial intelligence and social sciences. His work often addresses practical challenges in organizational decision-making and digital communication strategies.

• Decision Making
• Information Sampling
• Machine Learning Applications
• +4 more

Sophie Othman is a Lecturer at the University of Franche-Comté, affiliated with the Centre de Linguistique Appliquée (CLA) and the DEFLET department. She is actively engaged in research and teaching in language didactics, digital education, and innovative pedagogical practices. Her work spans multiple roles in research coordination, program leadership, and international academic collaboration. Research Interests: Her primary research areas include digital technology in language teaching and learning, design of online and distance learning environments, digital engineering in education, pedagogical innovation, comodal and hybrid training models, MOOCs, e-portfolios, and teacher training in ICT. She explores how digital tools transform language education, especially in multilingual and multicultural contexts. The recent scholarly output shows a consistent focus on post-pandemic educational transformation, AI integration in learning systems, and the design of flexible pedagogical scenarios. Her publications appear in journals such as ALSIC and in international conference proceedings, reflecting a strong engagement with digital pedagogy and language education innovation. Leadership and Service: Vice-President, Scientific and Pedagogical Commission, CLA – University of Franche-Comté (2021–present) Co-Responsible, TIPED Research Program, ELLIADD (2017–present) Scientific Coordinator, Innov'FLE Thematic Thursdays (2022–present) Former Coordinator, Master 2 FLE 'Political and Digital Environments' and FLE Track at CTU Besançon (2018–2020) Scientific Committee Member for international conferences (e.g., ADCUEFE, CEDIL, UBEST, EIAH) Expert reviewer for language didactics journals and collective works International trainer for the French Ministry and OIF in over 15 countries Projects and Grants: #ApproprIA: AI Appropriation in Education (2025–...) UNPEAA: Digital Use by Allophone Adults (2024–...) Innov'FLE: Innovation in FLE Teaching (2022–...) HUMANE: Digital Humanities for Education (2019–2022) ANR-IDEFI Innovalangues (2013–2016) Advising and Grants: While no formal students are listed, she has supervised research teams and mentored junior researchers through collaborative projects and editorial roles. She has secured national and international funding, notably through the ANR-IDEFI program, and contributes to large-scale educational initiatives supported by governmental and Francophone institutions. Labs and Teams: She is affiliated with the ELLIADD research laboratory (University of Franche-Comté) and was previously associated with LIDILEM (Université Grenoble Alpes). She leads and participates in interdisciplinary research groups focused on digital language education, teacher training, and innovation in didactics.

• Language Didactics
• Digital Technology in Education
• Online and Distance Learning
• +12 more

Paolo Rota is a tenure-track Assistant Professor at the University of Trento, affiliated with the Department of Information Engineering and Computer Science (DISI) and the Center for Mind/Brain Sciences (CIMeC). His research lies at the intersection of computer vision, machine learning, and multimodal AI, with a strong emphasis on vision-language models and activity recognition. His research interests include zero-shot action recognition, temporal action localization, open-world recognition, and person image synthesis. He explores how large multimodal models can be leveraged for practical applications in video analytics and industrial AI, often developing training-free or source-free adaptation methods that improve model generalization. Recent publications show a consistent trend in utilizing large vision-language models (e.g., CLIP, LMMs) for tasks such as image classification, domain adaptation, and action recognition, emphasizing simplicity, zero-shot capabilities, and real-world applicability. His work frequently appears in top venues including CVPR, NeurIPS, ICCV, and ICIAP. He actively mentors PhD students including Benedetta Liberatori, Jiaqi Liu, Yan Shu, Shiyao Xu, and Alessandro Conti, often co-advising with faculty such as Elisa Ricci and Nicu Sebe. He also contributes to teaching, including delivering lectures on machine learning for the MSc in Data Science program. He co-founded Mountain Maps, a startup using AI to enhance outdoor navigation and mountain exploration. His work bridges academic research and practical innovation, aiming to increase the real-world impact of AI systems.

• Computer Vision
• Machine Learning
• Multimodal AI
• +9 more

Tara M. Sinclair is Professor of Economics and International Affairs and Chair of the Department of Economics at the George Washington University. She is also affiliated with the Elliott School of International Affairs through the Institute for International Economic Policy and the Institute for European, Russian, and Eurasian Studies. Additional affiliations include the GW Institute of Public Policy Research, the Regulatory Studies Center, and GW-CIBER. Sinclair has held influential public sector roles, including Deputy Assistant Secretary for Macroeconomics at the U.S. Department of the Treasury (2022–2024) and founding Chief Economist at Indeed Hiring Lab. PhD in Economics, Washington University in St. Louis (2005) AM in Economics, Washington University in St. Louis (2001) BA in Foreign Languages, Wheaton College (1996) Her research centers on macroeconomic fluctuations, labor market dynamics, forecasting, and the application of big data to economic analysis. She employs econometric and time series methods to model business cycles, evaluate forecast accuracy, and assess policy impacts. Her work connects academic research with real-world decision-making, particularly in labor markets and monetary policy. Sinclair frequently uses online job posting data to generate timely insights into employment trends. Her recent publications focus on post-pandemic labor market transformations, remote work persistence, forecast evaluation, and regulatory economics. She has published in top journals such as Labour Economics , Journal of Applied Econometrics , Oxford Bulletin of Economics and Statistics , and International Journal of Forecasting . Her research leverages real-time data to analyze topics like unemployment insurance claims, job mismatch, and global hiring trends. Scientific recognition includes membership in the Conference on Research in Income and Wealth (CRIW), the Federal Forecasters Consortium Governing Board, and authorship at VoxEU. She has served as a Special Government Employee on the Bureau of Labor Statistics Technical Advisory Committee. She advises and collaborates with numerous researchers and institutions. Her leadership roles include directing the GW Center for Economic Research (former) and leading research initiatives at Indeed Hiring Lab. She teaches graduate and undergraduate courses in macroeconomics and econometrics, and is frequently cited in major media outlets including the New York Times , Wall Street Journal , and Financial Times , and appears on networks such as CNN, NPR, and Bloomberg. Her research team includes collaborators from Federal Reserve Banks, international organizations, and academic institutions. She leads projects funded by GW-CIBER and contributes to policy reports for the U.S. Treasury and Indeed Hiring Lab.

• Macroeconomics
• Labor Economics
• Econometrics
• +7 more

Gabe Kaptchuk is an Assistant Professor in the Computer Science Department at the University of Maryland, College Park (UMD), focusing on cryptography, privacy, and their social implications. He is affiliated with UMD's MC² (Maryland Cybersecurity Center) and UMIACS (Institute for Advanced Computer Studies). Previously, he was research faculty at Boston University and earned his PhD from Johns Hopkins University under advisors Avi Rubin and Matt Green. Research Interests: Kaptchuk's work bridges theoretical cryptography and social applications, emphasizing secure multiparty computation (MPC), zero-knowledge proofs, and steganography. He also explores the intersection of cryptography with law, policy, and human-centered design. Notable projects include Meteor (secure steganography using generative models) and Pulsar (MPC for dynamic participants). Teaching: Courses include Governing Algorithms (UMD) and Law and Algorithms (BU), focusing on algorithmic governance, privacy, and legal implications of technology. He has taught computer security and networks at Johns Hopkins and BU. Grants & Funding: Recent NSF awards include Collaborative Research: ReDDDoT Phase 2 (2024) for participatory privacy protections in AI training data. Active in deploying MPC for social good, such as analyses for Boston Women’s Workforce Council. Labs/Teams: Collaborates with researchers at Georgetown, Columbia, and institutions like the Wikimedia Foundation. Co-authors include Rachel Cummings, Elissa Redmiles, and Matthew Green on privacy and usability topics.

• Cryptography
• Privacy
• Secure Multiparty Computation (MPC)
• +5 more

Tongtong Wu is a Research Fellow in the Department of Data Science & AI at Monash University, actively contributing to cutting-edge research in artificial intelligence and natural language processing. She collaborates with leading researchers such as Gholamreza Haffari and Yuefeng Li on projects involving knowledge extraction, continual learning, and generative modeling. Education: Ph.D. in Artificial Intelligence, Southeast University (Jiangsu, China), awarded December 20, 2023. Thesis: Structured Knowledge Extraction with Limited Data . Her research focuses on developing advanced AI models for structured knowledge extraction, with emphasis on generative event extraction, weakly supervised learning, and continual adaptation of language models. She leverages deep learning and probabilistic methods to improve model robustness and generalization in low-data regimes. The recent publications demonstrate a strong trend toward integrating external knowledge into generative frameworks and advancing weakly supervised techniques for real-world NLP tasks. Her work spans event detection, topic modeling, and socio-cultural norm discovery, often using pretrained language models and mutual information-based regularization. Scientific Awards: No awards listed in the provided text. She is currently a Chief Investigator on the active project Lifelong Version-controlled Code Generation (2025–2026), indicating involvement in grant-funded research. While there is no mention of formal student supervision, her collaborative output suggests integration within a vibrant research team. She is affiliated with a research network focused on AI and data science at Monash, contributing to both journal articles and top-tier conference proceedings.

• Artificial Intelligence
• Natural Language Processing
• Knowledge Extraction
• +7 more

Associate Professor Antonia Rubino is a leading scholar in sociolinguistics and applied linguistics at The University of Sydney , specializing in multilingualism within migration contexts and its educational implications. She is a Fellow of the Australian Academy of the Humanities and has conducted groundbreaking research on Italian language maintenance among Australian migrant communities across generations. Key research areas: multilingualism, language maintenance/shift, language and identity, intercultural pragmatics Current projects: Multilingualism and identity among third-generation Italo-Australian youth; WUN international project on multilingualism and mobility Collaborations: 'Helping first-year students flourish through languages' project with Flinders University Her work spans family language policies, media, education, and public health contexts. She has supervised numerous postgraduate students in topics ranging from classroom climate to multicultural workplace communication. In 2024, she received the NSW Co.As.It. Medal for contributions to Italian language and culture.

• Sociolinguistics
• Applied Linguistics
• Multilingualism
• +4 more

Rachel Murphy is a Professor of Chinese Development and Society at the University of Oxford. She holds a PhD in Sociology from the University of Cambridge (1999) and has extensive experience in institution-building through roles such as former Research Director of OSGA (2019-2023) and former Head of OSGA (2014-2018). Her research focuses on migration, rural transformation, and gender imbalances in China, leveraging ethnographic and qualitative methodologies. Her monograph The Children of China’s Great Migration (2020) explores migrant families’ dynamics, supported by a British Academy Mid-Career Fellowship. Additional expertise includes media studies and sociological demography. She co-leads the Global Gender in an Era of Care Crises network and served as President of the British Association for Chinese Studies (2019–2022). Rachel’s work spans over 20 years with six years of fieldwork in mainland China and Taiwan. Current projects include urbanization’s impact on migrant families and Taiwan studies through Oxford’s Taiwan Programme. She sits on editorial boards for Modern China and The China Quarterly .

• Chinese Studies
• Sociology
• Development Studies
• +5 more

Ben R. Newell is a Professor of Cognitive Psychology and Deputy Head of the School of Psychology at the University of New South Wales (UNSW Sydney). In 2023, he was appointed Director of the interdisciplinary UNSW Institute for Climate Risk and Response, reflecting his leadership in applying psychological science to societal challenges. He is a leading figure in judgment and decision-making research, with broad interdisciplinary applications. His research focuses on the cognitive processes underlying human judgment, choice, and decision-making. Key interests include how people learn from feedback, acquire knowledge, and make decisions under uncertainty. He investigates these processes in real-world contexts such as environmental risk, medical decisions, financial behavior, and forensic reasoning. His work integrates cognitive modeling with behavioral experimentation to understand both biases and adaptive strategies in decision-making. Recent publications highlight his innovative use of natural language models to validate cognitive theories, experimental studies on saving behavior under income volatility, and investigations into how task context affects effort and boredom. These works reflect a trend toward integrating computational methods with traditional experimental psychology to deepen understanding of decision architecture. Ben Newell is actively engaged in the academic community, serving on the editorial boards of premier journals including: Psychological Science Perspectives on Psychological Science Psychonomic Bulletin & Review Thinking & Reasoning Decision Journal of Behavioral Decision Making Experimental Psychology He is also a Consulting Editor for Judgment & Decision Making and a member of the inaugural Academic Advisory Panel of the Behavioural Economics Team of the Australian Government, advising on evidence-based policy. He co-authored the influential textbook Straight Choices: The Psychology of Decision Making (3rd ed., 2022) and Open Minded: Searching for Truth about the Unconscious Mind . Though specific advisees are not listed, he mentors students within UNSW’s School of Psychology and leads a research team focused on cognitive and decision sciences. His work at the UNSW Institute for Climate Risk and Response involves interdisciplinary collaboration to improve societal responses to climate-related risks through behavioral insight.

• Cognitive Psychology
• Judgment and Decision Making
• Behavioral Decision Theory
• +8 more