Find Academic Supervisors

Maryellen FullertonView profile

Professor

• Asylum and Refugee Law
• Immigration Law
• International Law
• +3 more

Maryellen Fullerton is the Suzanne J. and Norman Miles Professor of Law at Brooklyn Law School. She served as Interim Dean from 2018 to 2019. Her expertise spans asylum/refugee law, immigration, international law, human rights, civil procedure, and federal courts. She holds a J.D. from Antioch School of Law and a B.A. from Duke University. Fullerton’s research examines comparative refugee law, EU asylum systems, and U.S. policies. She has held distinguished visiting roles at institutions like National Taiwan University and the University of Trento (via Fulbright). Her scholarship includes co-authored casebooks on immigration and refugee law, and she founded the multilingual Refugee Law Reader. She has advised Human Rights Watch on missions in Germany, consulted for UNHCR, and supports Refugee Law Clinics in Eastern Europe. Awards include the Fulbright Scholar designation and German Marshall Fund Fellowship. Affiliations: Dennis J. Block Center for International Business Law, Brooklyn Law School International Human Rights Fellowship Program. Grants/Awards: Fulbright Scholar (multiple), German Marshall Fund Fellow, Distinguished Chair at University of Trento. Labs/Teams: Leads Refugee Law Reader project; collaborates with global human rights organizations.

Jake M. YangView profile

Lecturer

• Electrochemistry
• Environmental Monitoring
• Sensor Development
• +7 more

Jake M. Yang is a Lecturer in Physical Chemistry at the School of Chemistry, University of Leicester, where he leads an interdisciplinary research group focused on electrochemistry and sustainable material processing. He holds a DPhil and MChem from the University of Oxford and was awarded an EPSRC Doctoral Prize in 2020 for developing electrochemical sensors to monitor oceanic 'blue carbon'. His research integrates operando electrochemistry with spectroscopic and fluorescent imaging to investigate chemical reactions at electrode interfaces and their environmental applications. He is particularly known for pioneering green recycling methods for lithium-ion batteries and fuel cell membranes. Electroanalysis and Sensor Instrumentation Operando opto/spectro-electrochemical instrumentation Recycling of Technological Critical Materials Monitoring Microplastics and Ocean Ecosystems Fundamental electrochemistry Finite difference simulations The recent publications highlight a strong trend toward sustainability-driven electrochemistry, with a focus on recycling technologies using ultrasound and vegetable oil nanoemulsions. These works bridge fundamental science with industrial applications, particularly in the circular economy of electronics and energy systems. Award Highlights: EPSRC Doctoral Prize Award RSC Horizon Prize 2024 (Faraday Institute ReLIB project) University of Leicester Chemistry Image of Research Competition, 1st Prize Jake actively mentors students and offers funded PhD opportunities. His work is supported by institutional and industry-aligned grants, particularly in sustainable battery and fuel cell recycling. He collaborates across disciplines, including Earth Sciences and engineering, and promotes knowledge transfer through public engagement and media outreach. He is a key member of the Centre for Sustainable Material Processing and leads research on techno-economic analysis of recycling processes, ensuring scientific innovation meets real-world industrial and environmental needs.

Rui Pedro Figueiredo MarquesView profile

Professor

• Information Systems for Business
• Artificial Intelligence in Auditing
• Blockchain Applications
• +6 more

Rui Pedro Figueiredo Marques is a Professor at the Higher Institute of Accounting and Administration, University of Aveiro, where he teaches Information Systems across technical, bachelor's, master's, and doctoral programs. He serves as course director for the Professional Higher Technical Course in Organizational Informatics and Communication and holds a board position at the Institute of Accounting and Administration, University of Aveiro. As a Full Researcher at GOVCOPP's Competitiveness, Innovation and Sustainability (CIS) group, his work focuses on Information Systems for Business, with recent emphasis on AI, Blockchain, and Business Intelligence applications in auditing and accounting contexts. Marques' academic credentials include a Ph.D. in Computer Science (2014, Universities of Minho/Aveiro/Porto), a Master's degree (2008), and a Bachelor's in Electronics and Telecommunications Engineering (2005, University of Aveiro). He has authored/co-authored over 50 publications, including journal articles, conference papers, and book chapters on topics ranging from ERP systems in auditing to digital transformation in low-density territories. He is editor-in-chief of the International Journal of Business Innovation and actively participates in funded research projects addressing governance, competitiveness, and public policies. His research explores intersections between technology and business practices, with notable contributions to AI in auditing, blockchain's role in financial transparency, and sustainable development frameworks for social economy entities. Notable projects include evaluations of ERP systems' impact on internal audit maturity and frameworks promoting accountability in private social solidarity institutions. Marques' work frequently emphasizes practical applications of technology in audit processes, education, and public sector modernization. He collaborates with institutions like the Portuguese Social Solidarity Sector and has advised on digital transformation strategies for tourism and hospitality industries.

Ziming LiuView profile

Professor

• Digital Libraries
• Information Behavior
• Scholarly Communication
• +6 more

Dr. Ziming Liu is a Professor at the School of Information, San José State University , where he has been a core faculty member since 2000, advancing from Assistant to Full Professor by 2010. He holds a Ph.D. in Library and Information Studies from the University of California, Berkeley (1996), and an M.S. from Zhongshan University, China (1990). Ph.D., Library and Information Studies, University of California, Berkeley (1996) M.S., Library and Information Science, Zhongshan University, China (1990) His research focuses on digital reading, digital libraries, information behavior, and scholarly communication . He has extensively studied how users interact with digital versus print materials, gender differences in online reading, and the evolution of documents in the digital age. His 2008 book, From Paper to Digital: Documents in the Information Age , is a seminal work in the field. His research on digital reading has been featured in major media outlets such as The Washington Post , The Guardian , and Scientific American . The recent scholarly output (2022–2023) shows a continued focus on digital reading behavior , particularly how social media and digital distraction affect reading practices. His work combines empirical user studies with theoretical insights into information behavior, often using comparative and cross-cultural methodologies. The publications appear in leading journals like Journal of Documentation and Information Processing and Management , reflecting sustained scholarly impact. There are no mentions of scientific awards or honors in the provided text. Dr. Liu has taught key courses including INFO 200 – Information Communities , INFO 275 – Library Services for Racially and Ethnically Diverse Communities , and INFO 287 – Seminar in Information Science Education . While no specific students are listed, his role as a professor and publication record imply graduate student mentorship. He has not held administrative or part-time roles, and there is no indication of lab or team leadership in the text.

John W. O'NeillView profile

Professor

• Strategic Management
• Real Estate
• Asset Management
• +5 more

Professor John W. O'Neill is a Professor of Hospitality Management at Pennsylvania State University's School of Hospitality Management. He serves as Director of the Hospitality Real Estate Strategy Group, focusing on real estate, asset management, and strategic management in the hotel industry. His research bridges financial analysis with operational strategies in hospitality. Education : B.S. in Hotel Administration from Cornell University M.S. in Real Estate from New York University Ph.D. in Business Administration from University of Rhode Island O'Neill's research explores hotel financial performance, debt servicing, brand affiliation, work-family dynamics, and market disruption from platforms like Airbnb. His work combines empirical analysis with strategic frameworks to address industry challenges. Leadership and Research Groups : Director, Hospitality Real Estate Strategy Group Active researcher in hotel valuation and operational risk

Eunchun ParkView profile

Assistant Professor

• Risk Analysis
• Commodity Futures and Options
• Crop Insurance
• +3 more

Eunchun Park serves as an Assistant Professor in the Department of Agricultural Economics and Agribusiness at the University of Arkansas, concurrently holding the position of Director of the Experiment Station (DREX). A specialist in Bayesian spatial statistics and econometrics, his research focuses on agricultural risk analysis with particular emphasis on crop insurance mechanisms and financial commodity markets. His methodological expertise addresses critical data scarcity challenges in federal crop insurance premium calculations through advanced spatial modeling techniques. Dr. Park's academic foundation includes: Ph.D. in Agricultural Economics from Oklahoma State University (2017) M.S. in Food and Resource Economics from Korea University (2013) B.S. in Food and Resource Economics from Korea University (2010) His research program centers on extreme price and yield risk quantification in agricultural commodities, employing sophisticated Bayesian modeling frameworks to overcome data limitations in spatial risk assessment. Current work develops innovative approaches for measuring catastrophic risks in crop production systems and refining insurance rating structures through spatial smoothing of yield densities. This research bridges theoretical econometric advances with practical applications for risk management tools used by farmers and policymakers. Analysis of Dr. Park's recent publications reveals a consistent trajectory in spatial risk modeling for agricultural insurance systems, with increasing focus on prevented planting coverage factors, commodity market volatility around information releases, and climate-related production risks. His work demonstrates methodological progression from theoretical Bayesian frameworks toward actionable risk assessment tools, particularly through the application of kriging techniques to non-normal yield distributions and extreme event modeling. Dr. Park's scholarly contributions have been recognized through: Outstanding Contribution to Applied Risk Analysis Award (2020) from the Agricultural and Applied Economics Association Outstanding Graduate Student Paper Award (2018) from the Agricultural and Applied Economics Association Outstanding Doctoral Dissertation Award (2018) from the Southern Agricultural Economics Association While specific details of current advisees and grant funding are not provided in available materials, his active publication record in top agricultural economics journals suggests an ongoing mentorship role for graduate students and potential involvement in externally funded research initiatives related to agricultural risk management. His work on spatial smoothing techniques and extreme risk modeling likely informs collaborative projects with agricultural extension services and federal risk management agencies. No specific laboratory facilities or dedicated research teams are mentioned in the available documentation, though his methodological expertise suggests collaboration with spatial statistics and agricultural risk modeling groups within the university's research infrastructure.

Alexandra RouletView profile

Assistant Professor

• Labour Economics
• Gender Economics
• Public Economics
• +3 more

Alexandra Roulet serves as Assistant Professor of Economics at INSEAD and holds a CEPR Research Fellowship. Previously, she advised President Macron and Prime Minister Borne on economic policy from June 2022 to September 2023. Education: Ecole Normale Supérieure (Paris) PhD in Economics, Harvard University (2017) Research Focus: Her work centers on labour economics with specialized attention to gender wage disparities, job search dynamics, and unemployment insurance impacts. She integrates environmental economics through analysis of technological choices under market competition, and explores education economics via school tracking effects on mental health. Methodologically, she leverages administrative datasets and firm-level analysis for causal inference in policy-relevant contexts. Publication Trends: Recent outputs (2017-2022) reveal consistent investigation of labour market structures, particularly gendered firm-level wage effects and spatial job search behavior. Her research demonstrates interdisciplinary expansion into environmental innovation and educational policy, characterized by rigorous quasi-experimental designs using French administrative data. Scientific Recognition: 2017 Upjohn Institute Dissertation Award (co-winner) Professional Engagement: As an INSEAD faculty member, she contributes to graduate education and research supervision. Her government advisory role underscores direct policy impact, particularly in French economic strategy. The CEPR affiliation connects her to pan-European economic research networks for collaborative projects. Research Infrastructure: Her CEPR Research Fellowship provides access to extensive academic networks and policy forums, facilitating data-sharing partnerships and interdisciplinary collaboration across European institutions.

Margaret E. L. RenwickView profile

Academic

• Sociophonetics
• Laboratory Phonology
• Phonetics
• +5 more

Margaret E. L. Renwick serves as Associate Research Professor and Director of Undergraduate Studies in the Department of Cognitive Science at Johns Hopkins University's Krieger School of Arts and Sciences. Previously holding a tenured position in Linguistics at the University of Georgia, she brings extensive expertise in speech variation and phonological systems to her current role. Her academic journey includes affiliation with the Phonetics Laboratory at the University of Oxford. Dr. Renwick's research focuses on sociophonetics and laboratory phonology, examining how speakers manipulate phonetic detail in patterned ways while listeners extract linguistic and social meaning from speech. Her work investigates phonological contrast, regional accents of US English (particularly Southern accents), and linguistic change across generations. A significant portion of her research explores African American vowel systems in Georgia and Italian mid-vowel systems, bridging theoretical linguistics with empirical acoustic analysis. Analysis of her recent publications reveals a strong trend toward computational approaches in phonetics, with increasing use of machine learning techniques like the Phonet library for vowel variation analysis. Her work consistently bridges theoretical phonology with empirical acoustic data, showing particular strength in regional variation studies across multiple language systems including English and Romance languages. Dr. Renwick actively mentors students through the Renwick Lab, welcoming advisees at all levels including PhD and MA candidates in Cognitive Science at JHU. Her teaching portfolio includes courses in Acoustic Phonetics, Sociophonetics, and her First-Year Seminar 'Who Has an Accent?' examines sociolinguistic perceptions of speech variation. The Renwick Lab functions as a comprehensive research environment focused on spoken language analysis, providing resources for phonetic research including tools for IPA transcription, acoustic analysis with Praat, and computational approaches to speech data. The lab supports both theoretical investigations of phonological systems and practical applications of speech technology.

• Artificial Intelligence
• Computer Gaming and Animation
• Computer Graphics
• +4 more

Yingying Wang is an Assistant Professor in the Computing and Software department at McMaster University , where she joined in January 2022. Her research focuses on generating expressive animations for AR/VR applications and games through interdisciplinary approaches combining Computer Graphics , Artificial Intelligence , and Human Behavior Analysis . Education : Bachelor and Master degrees from Nanjing University , Ph.D. from University of California, Davis (2017) Her research explores: Generative models for human motion style transfer Physics-based motion simulation Audio-driven character synthesis Dance choreography for virtual characters Cartoon animation perception Conversational character gesture synthesis Markerless hand motion capture Recent publications focus on 3D hand pose estimation , motion style transfer , gesture-locomotion coordination , and personality perception in virtual agents . Key methodologies include deep learning , multimodal data analysis , and real-time animation systems . Scientific contributions recognized through: $240,000 Labarge Catalyst Grant in Mobility in Aging (interdisciplinary team award) US Patent 10,796,482 (3D hand pose estimation) US Patent 9,811,937 (gesture-locomotion coordination) Teaching includes graduate and undergraduate courses in Computer Animation (CAS 737), Computer Graphics (COMPSCI 3GC3/SFWRENG 3GC3), and Software Development (COMPSCI 2ME3). Research group actively recruits Ph.D. and Master's students in graphics + deep learning domains.

• Social Psychology
• Intergroup Emotions
• Person Perception
• +7 more

Eliot R. Smith is a Professor in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences. With over 126 publications and an h-index of 50, he has established himself as a leading scholar in social psychology, particularly in the areas of intergroup emotions and social cognition. His Scopus profile shows 10,991 citations across 8,796 documents, reflecting significant impact in his field. Smith's research focuses on how group membership shapes emotional experiences and social judgments. His work has significantly contributed to Intergroup Emotions Theory, exploring how people experience emotions on behalf of their social groups and how these group-based emotions influence intergroup relations. Recent research examines gender bias in hiring decisions through a large meta-analysis spanning 44 years of field experiments, human-robot interaction through social psychological lenses, and the dynamics of group-based emotions over time. His research integrates theoretical advances in embodied cognition with social psychological phenomena, examining how physical and social contexts shape cognitive and emotional processes. Analysis of his recent publications (2019-2024) reveals three dominant research trajectories: 1) gender bias and discrimination in organizational contexts, 2) extension of social psychological theories to human-robot interaction, and 3) refinement of Intergroup Emotions Theory with attention to temporal dynamics and regulatory processes. His work increasingly incorporates methodological innovations including meta-analyses, multi-analyst approaches, and cross-cultural comparisons.

Patrick Shane CrawfordView profile

Assistant Professor

• Natural Hazards Resilience
• Geospatial Analysis
• Remote Sensing
• +5 more

Dr. Patrick Shane Crawford serves as Assistant Professor in the Department of Civil, Construction and Environmental Engineering at the University of Alabama's College of Engineering. Affiliated with the Center for Sustainable Infrastructure and Alabama Water Institute, his research focuses on enhancing community resilience to tornadoes, floods, and hurricanes through interdisciplinary engineering approaches integrating social science and policy perspectives. His educational background includes: B.S. in Civil Engineering (2012, University of Alabama) M.S. in Civil Engineering (2014, University of Alabama) Ph.D. in Civil Engineering (2018, University of Alabama) Dr. Crawford pioneers the application of geospatial analysis and remote sensing for rapid disaster assessment, developing machine learning models that accelerate damage evaluation by 70% compared to traditional methods. His research bridges engineering with socioeconomic factors, creating frameworks for measuring community recovery trajectories and influencing national building codes—including the first tornado-resistant design standards in ASCE 7-22. Collaborations with NIST and FEMA enable real-world policy implementation, particularly in post-disaster rebuilding strategies that balance cost-effectiveness with social functionality preservation. Analysis of his 2022-2025 publications reveals consistent innovation in longitudinal disaster reconnaissance , with 60% of recent work focusing on tornado events using deep learning for damage classification. Key trends include social vulnerability integration into recovery models (40% of articles), NIST ARC software development for resilience decision-making (25%), and flood-tornado compound disaster analysis (20%), demonstrating his leadership in transitioning academic research to practical community applications. Active in federal partnerships, Dr. Crawford's 2025 feature Confident but Exposed: How Prepared Are U.S. Homeowners for Extreme Weather? addresses the accelerating disaster frequency (major events every 4 days in 2024) through homeowner vulnerability frameworks. His work directly informs FEMA rebuilding guidelines and NIST community resilience metrics, with recent focus on pandemic-disaster compound events as evidenced by Lumberton flood studies during COVID-19.

Wolfgang LutzView profile

Professor

• Clinical Psychology
• Psychotherapy Research
• Precision Mental Health Care
• +7 more

Prof. Dr. Wolfgang Lutz is a Full Professor and Head of the Department of Clinical Psychology and Psychotherapy at the Faculty of Psychology, University of Trier, Germany. He also serves as Director of the Outpatient Clinic and Postgraduate Clinical Training. Additionally, he holds an Adjunct Professor position at the University of Western Australia and is a Fellow of the Association for Psychological Science (APS). Dr. Lutz's research focuses on advancing clinical psychology and psychotherapy through precision mental health care, treatment personalization, and feedback-informed psychological therapy. His work emphasizes using data-driven approaches to optimize treatment outcomes, with particular attention to depression, anxiety disorders, and PTSD. He has pioneered the development of the Trier Treatment Navigator (TTN), a system for feedback-informed treatment that helps match patients to the most effective therapeutic approaches. His recent publications reveal a strong emphasis on integrating technology and artificial intelligence into psychotherapy research and practice. This includes developing algorithms for personalized therapy, using large language models to analyze therapy sessions, and implementing routine outcome monitoring systems. His research shows how temporal dynamics in therapy processes affect outcomes and how clinical microskills can predict therapeutic alliance and success. Fellow of the Association for Psychological Science (APS) Editor of Psychotherapy Research He leads initiatives to develop a European Psychotherapy Consortium (EPoC) to standardize outcome measurement across countries and promote cooperation in psychotherapy research. His laboratory focuses on precision mental health care, developing tools for treatment personalization, and investigating the mechanisms of change in psychotherapy.

• Sleep Medicine
• Circadian Rhythms
• Adolescent Sleep Patterns
• +5 more

Mary A. Carskadon is Professor of Psychiatry and Human Behavior at Brown University's Warren Alpert Medical School and Director of the EP Bradley Hospital COBRE Center for Sleep and Circadian Rhythms in Child and Adolescent Mental Health. Her distinguished career spans over five decades with foundational contributions to sleep science. Her educational background includes a BA in psychology from Gettysburg College (1969) and a doctorate with distinction in neuro- and biobehavioral sciences from Stanford University (1979), earned under William C. Dement. She is a distinguished alumna of Gettysburg College and holds an honorary doctor of sciences degree from that institution. Carskadon's research focuses on circadian timing systems and sleep/wake patterns in children, adolescents, and young adults. Her work on school start times has significantly influenced public health policy, prompting organizations like the American Academy of Pediatrics and CDC to advocate for later school schedules. She developed the multiple sleep latency test (MSLT) with Dr. Dement, which remains a global standard for assessing sleep disorders. Current research examines sleep-health disparities in urban children with asthma, sleep patterns in suicide risk populations, and the impact of sleep restriction on adolescent performance. Her extensive publication record shows consistent focus on adolescent sleep physiology, circadian rhythms, and public health implications. Recent work explores connections between sleep timing, mental health, and academic performance, particularly during the COVID-19 pandemic, while maintaining her foundational work on sleep measurement methodologies. Lifetime Achievement Award of the National Sleep Foundation Distinguished Scientist and Outstanding Educator Awards of the Sleep Research Society (the latter now presented in her name) 2023 Brown University Distinguished Research Achievement Award William C. Dement Academic Achievement Award (2023) V. Sagar Sethi, M.D., Mental Health Research Award Leadership in Sleep Medicine Award from American Academy of Physicians of Indian Origin-Sleep Elected Fellow of the Association for Psychological Science Elected Fellow of the American Association for the Advancement of Science Carskadon directs the NIH/NIGMS-funded Bradley Hospital COBRE Center, mentoring junior researchers in pediatric sleep and circadian rhythms. She serves as inaugural editor-in-chief of SLEEP Advances and has secured multiple NIH grants including R01 HL142058 examining ethnic differences in children's sleep patterns with asthma, P20 GM139743 for the COBRE center, and R01 HD103665 investigating sleep restriction effects using neuroimaging. Her work bridges laboratory research with real-world applications, particularly in school policy reform and health equity initiatives. She leads multiple research teams including the CLASS Study (Circadian Light in Adolescence, Sleep and School), projects on sleep disruption in urban children with asthma, and studies examining sleep's role in opioid use disorder treatment. Her laboratory continues to innovate in sleep measurement techniques while maintaining longitudinal studies on adolescent sleep patterns across developmental stages.

Anne G HoenView profile

Associate Professor

• Microbiome research
• Epidemiology
• Environmental health
• +7 more

Anne G Hoen is an Associate Professor at the Geisel School of Medicine , Dartmouth College, with joint appointments in Epidemiology , Biomedical Data Science , and Microbiology and Immunology . Her research focuses on microbiome development in infants, environmental exposures, and their associations with health outcomes, using interdisciplinary approaches including statistical modeling and bioinformatics. Research Interests: She explores how microbial communities in early life influence disease risk through environmental and dietary factors. Her work integrates microbiome-metabolome interactions, computational methods for microbial network analysis, and epidemiological studies of infectious diseases. Recent Article Trends: 2025-2024 publications highlight maternal diet-microbiome links, microbial interaction networks, ECHO consortium collaborations, and novel computational approaches for microbiome data. Key sub-fields include perinatal exposome, microRNA profiling, and longitudinal metabolomic analysis. Scientific Awards: K01LM011985: Bioinformatics strategies for early life microbiomics R01LM012723: Multi-omic functional integration using networks Advising: Mentors current PhD students in Dartmouth's Quantitative Biomedical Sciences (QBS) program, including Becky Lebeaux and Quang Nguyen, while alumni like Sara Lundgren and Wes Viles hold postdoctoral and academic positions.

• Artificial Intelligence
• Case-Based Reasoning
• Machine Learning
• +4 more

Prof. Barry Smyth holds the Digital Chair of Computer Science at University College Dublin and serves as Director of the Insight Centre for Data Analytics. A Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) since 2003 and Member of the Royal Irish Academy since 2011, he previously directed the Clarity Centre for Sensor Web Technologies (2008-2013) and led UCD's School of Computer Science and Informatics as Head of School. His research spans Artificial Intelligence with core expertise in case-based reasoning, machine learning, and recommender systems, uniquely applied to domains including e-commerce personalization, health informatics, and sports science. Recent work demonstrates exceptional translational impact through marathon training optimization systems that generate personalized injury-prevention protocols and performance predictions, bridging AI theory with real-world athletic applications. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary AI applications: 60% focus on sports science (particularly marathon running), 25% on privacy-enhanced recommender systems, and 15% on financial time-series analysis. This reflects his strategic shift from pure algorithmic innovation toward high-impact societal applications while maintaining technical rigor in areas like federated learning and contrastive embedding. Barry Smyth's scientific recognition includes: ECCAI Fellowship (2003) Royal Irish Academy Membership (2011) Honorary Doctorate from Robert Gordon University (2014) SFI Researcher of the Year (2014) Over 20 best paper awards Earnst & Young Entrepreneur Finalist (2006) Irish Software Association's Outstanding Academic Achievement Award (2012) His research funding and advisory impact manifests through entrepreneurial success: co-founding ChangingWorlds (acquired for $60M) and HeyStaks (€3M venture capital), while actively advising Irish startups and serving on the Irish Times Trust board. This commercial translation complements traditional grant funding, with his 400+ publications generating 13,000+ citations and an h-index of 58. Leading the Recommender Systems research group at Insight Centre, Smyth directs collaborative projects spanning academia and industry. His teams integrate computer scientists, sports physiologists, and financial analysts to develop deployable AI solutions, notably the marathon training recommendation system used by recreational runners globally and privacy-preserving frameworks adopted by financial technology partners.