Find Academic Supervisors

Ian WilsonView profile

Professor

• Policy Impact Measurement
• Housing Provision and Affordability
• Place-Based Interventions
• +4 more

Ian Wilson is the Deputy Director of the Centre for Regional Economic and Social Research (CRESR) and a Professor of Policy Research and Evaluation at Sheffield Hallam University. He holds BA and MSc degrees, with over 20 years of expertise in applied policy research and evaluation, securing £15M+ in research funding. His work spans housing policy, urban regeneration, and social welfare, collaborating with government agencies like DLUHC, DWP, and Welsh Government. Education: BA, MSc (institutions unspecified) Roles: Deputy Director (CRESR), Professor of Policy Research and Evaluation Affiliations: Social and Economic Research Institute, College of Social Sciences and Arts Research Focus: Wilson's work centers on measuring policy impacts, housing affordability, and place-based interventions addressing social inequities. He pioneered methods like shadow pricing for regeneration outcomes and developed frameworks for valuing policy effects on communities. His expertise includes econometric analysis, cost-benefit evaluation, and innovative solutions for complex societal challenges. Grants & Projects: Key projects include evaluations of the Affordable Homes Programme (£10M agreement with DLUHC), Warm Home Prescription project, and Community Renewal’s Lifting Neighbourhoods Together initiative. He has led over 100 research outputs, including studies on housing benefit reforms, urban regeneration, and third-sector subcontractor roles in EU programs. Labs/Teams: Core affiliations with CRESR and the Social and Economic Research Institute, collaborating with interdisciplinary teams on national and international projects.

Shanna WilliamsView profile

Assistant Professor

• Lie-Telling
• Commercial Sexual Exploitation of Children
• Moral Development
• +4 more

Dr. Shanna Williams is an Assistant Professor in the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. She holds clinical licensure in Quebec and Ontario, with expertise in forensic child psychology and maltreatment-related research. Her work focuses on child lie-telling, commercial sexual exploitation, moral development, and eyewitness testimony. Prior roles include a postdoctoral fellowship at the University of Southern California’s Gould School of Law and forensic law enforcement collaboration in Los Angeles. Education: Ph.D., McGill University: School/Applied Child Psychology M.A., McGill University: Educational Psychology B.A., McGill University: Psychology Postdoctoral Visiting Fellow, University of Southern California Research Interests: Lie-Telling Dynamics: Investigating how cognitive and social factors influence children's deception across contexts. Child Maltreatment: Developing trauma-informed forensic interview protocols and assessing maltreatment impacts on memory and disclosure. Legal Systems: Enhancing child-witness support through improved questioning techniques and cross-cultural legal practices. Publications Trends: Her recent work emphasizes pandemic-era challenges in child protection, digital exploitation, and legal system adaptations. Over 20 peer-reviewed articles address topics like forensic interviewing methods, maltreatment detection, and interdisciplinary collaboration. Awards: SSHRC Postdoctoral Fellowship (2016-2017) SSHRC Joseph-Armand Bombardier CGS Doctoral Fellowship (2010-2013) Advising & Grants: Supervises graduate students in child psychology and maltreatment studies. Research funded by SSHRC, NSF, and NIH grants focusing on forensic child development. Labs/Teams: Child Interviewing & Witness Lab Canadian Child Interviewing Research Team

Jens KreitewolfView profile

Academic

• Auditory Cognition
• Speech Perception
• Neuroimaging
• +7 more

Jens Kreitewolf is a Faculty Lecturer in the Departments of Psychology and Mathematics and Statistics at McGill University. He teaches courses in statistics, research methodology, and psychophysics. His research focuses on auditory cognition, speech comprehension, and the neural mechanisms underlying voice perception. Dr. Kreitewolf holds a Ph.D. (Dr. rer. nat.) from Humboldt University of Berlin and completed postdoctoral fellowships at BRAMS and the University of Lübeck. His work combines experimental psychology, neuroimaging, and psychophysics to explore auditory processing challenges in adverse listening conditions. Key interests include how familiarity with a talker’s voice aids comprehension and the impact of hearing impairment on speech perception. Education: M.Sc. in Psychology (Ruhr University Bochum, 2009); Ph.D. in Psychology (Humboldt University of Berlin, 2014). Research Interests: Auditory scene analysis and speech-in-noise processing Voice recognition and familiarity effects Neural correlates of perceptual decision-making Circadian rhythms and perceptual sensitivity Cognitive neuroscience of auditory attention Publications highlight contributions to understanding: Risk factors for depression symptom progression Self-concept clarity in romantic evaluations Neurobiological mechanisms of working memory vulnerability Vestibular symptoms in migraine patients His interdisciplinary approach bridges psychology, statistics, and neuroscience, with applications to clinical populations and sensory processing disorders.

France BouthillierView profile

Associate Professor

• Competitive Intelligence
• Information Management
• Healthcare Information Systems
• +4 more

France Bouthillier is an Associate Professor and Associate Dean of Graduate and Postdoctoral Studies at McGill University's School of Information Studies. She holds a PhD from the University of Toronto and multiple advanced degrees in library science, administration, and education from Quebec institutions. Her research focuses on competitive intelligence, healthcare information systems, and small business information needs. She has led major grants including a SSHRC-funded study on children’s cyber-safety and CIHR projects on evidence dissemination in healthcare. Education: PhD, Faculty of Information Studies, University of Toronto MBSI, École de bibliothéconomie et des sciences de l'information, Université de Montréal C. Admin, Département des sciences de l'administration, UQAM BEd, Département des sciences de l'éducation, UQAM Research Interests: Dr. Bouthillier investigates digital resource assessment in healthcare, cross-cultural competitive intelligence practices, and information needs of marginalized communities. She emphasizes collaborative information monitoring and user-centered design in information systems. Her work bridges theory and practice, addressing gaps in evidence-based decision-making. Grants & Awards: Competia Award (2003) for co-authored book on CI software assessment SSHRC Standard Research Grant (2005-2008) on CI technology use CIHR grants for healthcare evidence dissemination (2006, 2008) Professional Involvement: Editorial Board member of the Journal of Information Science Theory and Practice, ASIST member, and SSHRC grant reviewer. She co-developed the eSRAP system for patient-oriented research monitoring. Her lab focuses on interdisciplinary projects in information visualization and collaborative tools.

Chris De SaView profile

Associate Professor

• Machine Learning
• Distributed Systems
• Optimization Algorithms
• +5 more

Chris De Sa is an Associate Professor in the Department of Computer Science at Cornell University, affiliated with the Cornell Machine Learning Group and leading the Relax ML Lab. His research focuses on algorithmic, software, and hardware techniques for high-performance machine learning, particularly relaxed-consistency stochastic algorithms like asynchronous and low-precision stochastic gradient descent (SGD). He earned his Ph.D. from Stanford University under advisors Kunle Olukotun and Chris Ré. His work emphasizes constructing efficient, parallel, and distributed machine learning frameworks for deep learning and data analytics. Education: Ph.D. in Computer Science, Stanford University (2017) Research Interests: Algorithmic techniques for scalable ML, quantization, distributed optimization, hyperbolic geometry in ML, and reliable measurement of ML systems. His group develops frameworks for efficient inference/training and explores the intersection of ML with domains like agriculture and plant science through courses like PLSCI 7202. Recent Highlights: DARPA YFA Grant (2024), NSF CAREER Award, Google Research Scholar Award, and multiple best paper recognitions. Key contributions include QuIP quantization methods, Coneheads attention mechanisms, and theoretical advances in decentralized training. Awards: NSF CAREER Award DARPA YFA Grant (2024) Google Research Scholar Award Mr. & Mrs. Richard F. Tucker Teaching Award Grants & Advising: Advises 8 Ph.D. students (including Ruqi Zhang, Yucheng Lu, A. Feder Cooper) and holds leadership roles in MLSys conferences. Active in grant-funded research (e.g., NSF Robust Intelligence). Labs/Teams: Leads the Relax ML Lab and participates in Cornell’s Institute for Digital Agriculture (CIDA).

Elizabeth BruchView profile

Associate Professor

• Sociology
• Complex Systems
• Demography
• +6 more

Elizabeth Bruch is an Associate Professor of Sociology and Complex Systems at the University of Michigan, serving as Associate Director of the Institute for Data and AI in Society. She holds External Faculty status at the Santa Fe Institute and is affiliated with the Center for Population Studies. With a Ph.D. from UCLA and an M.S. in Statistics, her research integrates choice modeling, network science, and agent-based simulations to study individual decisions in social environments. Key areas include residential segregation, dating markets, and higher education. Education: Ph.D. and M.S. in Sociology/Statistics (UCLA), B.A. in Sociology (Reed College) Affiliations: Santa Fe Institute, Institute for Advanced Study Berlin Her work has been published in Science , PNAS , and American Journal of Sociology , earning awards like the ASA Methodology Innovation Prize and the Merton Prize. Her upcoming book Date Like a Local (Princeton, 2026) explores urban influences on romantic behavior. Bruch’s research addresses societal challenges through computational methods, including pandemic modeling during the 2020 crisis and algorithmic analysis of dating markets. She serves on Santa Fe Institute’s Science Steering Committee and collaborates across disciplines to advance complexity science.

Michael StammView profile

Professor

• Media Studies
• Political History
• Cultural History
• +3 more

Michael Stamm is Chairperson and Professor in the Department of History at Michigan State University, within the College of Social Science. His research focuses on media and journalism history, with specialties in cultural, political, and environmental history. He has authored influential books like Sound Business (2011) and Dead Tree Media (2018), which explore the material and economic dimensions of print media. His work bridges media studies with environmental history, examining global commodity chains and the geopolitical impact of newsprint production. Stamm’s research has been recognized with awards including the Canadian Business History Association’s Best Book Prize (2019) and the Richard E. Sullivan Teaching Excellence Award (2022). He leads courses on North American history, media, business, and environmental history. From 2017–2020, he directed MSU’s participation in the American Historical Association’s Career Diversity initiative, fostering innovative historian training. His recent projects expand into international media comparisons and digital-age publishing challenges. Stamm’s academic profile combines rigorous historical scholarship with interdisciplinary engagement, reflecting his dual role as a researcher and educator.

Jiang HuView profile

Professor

• VLSI Design Automation
• Hardware Security
• Machine Learning Applications
• +3 more

Jiang Hu is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Eric D. Rubin '06 Endowed Professorship. He also serves as Co-Director of Graduate Programs and is affiliated with the Computer Science & Engineering department. His research focuses on VLSI design automation, machine learning applications, and hardware security. He has held roles as editor for IEEE Transactions on CAD and ACM Transactions on Design Automation, and chaired the 2012 ACM International Symposium on Physical Design. Education: B.S. in Optical Engineering (Zhejiang University, 1990), M.S. in Physics (1997), and Ph.D. in Electrical Engineering (University of Minnesota, 2001). He worked at IBM Microelectronics before joining Texas A&M in 2002. Research interests include energy-efficient VLSI circuits, on-chip communication fabrics, analog layout automation, and AI-driven EDA. Recent work emphasizes machine learning for design closure, privacy-preserving frameworks, and systolic array-based architectures. Awards: IEEE Fellow (2016) Humboldt Research Fellowship (2012) Multiple best paper awards at DAC, ICCAD, and ASPDAC Advising and grants: Leads initiatives like the SLICE project, NSF workshops on ML-EDA infrastructure, and serves as Editor-in-Chief of ACM TODAES since 2024. His work bridges academic research and industry applications in EDA and semiconductor design. Labs/Teams: Active contributor to open-source tools like ALIGN for analog layout generation and collaborations on machine learning for EDA commons.

Roman FeimanView profile

Assistant Professor

• Cognitive Development
• Cognitive Psychology
• Cognitive Science
• +3 more

Roman Feiman is the Thomas J. and Alice M. Tisch Assistant Professor of Cognitive, Linguistic, and Psychological Sciences and an Assistant Professor of Linguistics at Brown University. He directs the Brown Language and Thought Lab, focusing on how humans combine words into meaningful sentences and develop logical reasoning abilities. His research integrates methods from cognitive developmental psychology, psycholinguistics, and formal semantics. Feiman holds a PhD in Psychology from Harvard University (2015), followed by postdoctoral training at Harvard and UC San Diego. His work explores the cognitive systems underlying language and thought, including negation comprehension, quantifier scope, and the development of exact equality concepts. He teaches courses such as Language Processing in Humans and Machines and Logic in Language and Thought . His research interests span cognitive development, linguistic pragmatics, and the language of thought hypothesis. Notable findings include studies on children’s understanding of negation and how logical principles shape early language acquisition. Feiman has been recognized with the 2023 Henry Merritt Wriston Fellowship. His lab investigates topics like word referencing, semantic development, and the interplay between language and nonverbal reasoning. Recent work examines how neural networks might model human cognitive processes, bridging AI and psychological theory.

Jing LiView profile

Associate Professor

• Computer Architecture
• Compiler Design
• Distributed Systems
• +7 more

Dr. Jing Li is an Associate Professor and Eduardo D. Glandt Faculty Fellow at the University of Pennsylvania , holding dual appointments in the Electrical and Systems Engineering and Computer and Information Science departments. As co-director of the CyberSavvy nationwide security research center and director of the Penn Computational Intelligence Lab (PennCIL) , she pioneers innovations in non-von Neumann computing paradigms. Her research spans post-CMOS technologies, in-memory computing, and hardware-software co-design for security and AI applications. PhD in Computer Engineering, Purdue University (2009) BSc in Electrical Engineering, Shanghai Jiaotong University (2004) Research Focus: Dr. Li's work addresses fundamental challenges in computer systems across the stack. Key areas include: In-Memory Computing: Liquid Silicon architecture combining RRAM with silicon CMOS through monolithic 3D integration Security Engineering: Transforming computer security from "Art" to formal "Engineering" discipline within CyberSavvy Virtualization: Cloud FPGA abstraction layers decoupling compilation from runtime resource management Graph Analytics: Degree-aware optimization techniques for massive-scale graph processing Deep Learning Systems: Roofline model extensions for FPGA-based CNN acceleration Scientific Impact: Awarded DARPA Young Faculty Award , NSF CAREER Award , and IBM CEO Milestone Award , her team has achieved world records in energy-efficient computing (ENIAD supercomputer). With 46 U.S. patents and over 80 publications, she leads ecosystem development for emerging computing architectures through initiatives like the open-source MEG simulation platform . Community Leadership: Dr. Li serves on program committees for flagship conferences ( ISCA , FPGA Symposium ), chairs the International Memory Workshop , and contributes to the MLsys conference's inaugural committee. She actively mentors through multiple PhD openings and industry collaborations.

• Food Studies
• Sociology of Food
• Globalization
• +7 more

Krishnendu Ray is a Professor of Food Studies and Director of the Food Studies PhD Program at New York University's Steinhardt School of Culture, Education, and Human Development. He holds a Ph.D. in Sociology from SUNY Binghamton (2001) and a master’s in Political Science from Delhi University, India. Prior to NYU, he served as faculty and Acting Associate Dean for Curriculum Development at The Culinary Institute of America. Roles: Professor, Director of Food Studies PhD Program, Chair of the Department of Nutrition, Food Studies, and Public Health (per external sources). Research Focus: Immigrant culinary practices, globalization of food, ethnic restaurants, urban food cultures, and the sociocultural dimensions of taste. His work bridges sociology, anthropology, and public health, examining how food shapes identity, migration, and urban spaces. Notable publications include The Ethnic Restaurateur (2016) and The Migrant’s Table (2004). He co-edits special issues on topics like street vending and global cities, highlighting food’s role in cultural exchange and urban transformation. Recent articles (2020–2025) explore global Asias, resilient immigrant cooking, and the intersection of food studies with contemporary crises. His research frequently engages interdisciplinary methods, including ethnography and historical analysis.

• Visual Analytics
• Information Visualization
• Geographic Information Science
• +7 more

Jo Wood is Professor of Visual Analytics in the Department of Computer Science at City, University of London, where she has been employed since January 14, 2000. Her work bridges computer science, geographic information science, and human-computer interaction, focusing on innovative methods for visualizing complex spatial and behavioral data. Her research interests center on visual analytics , information visualization , and geovisualization , with applications in transportation, public health, crisis response, and citizen science. She investigates how interactive visual interfaces can support exploratory data analysis, decision-making, and storytelling, particularly through small multiples, faceted views, and sketch-based rendering techniques. The trends in her recent publications reflect a consistent focus on user-centered design , spatial data abstraction , and interactive exploration of multivariate datasets. Her work often integrates real-world behavioral data such as GPS tracks, cycling patterns, and crowd-sourced information to build meaningful visual narratives and support analytical reasoning. Throughout her career, Jo Wood has contributed significantly to the advancement of visual analytics through high-impact publications in top-tier venues such as IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Her collaborations with researchers like Jason Dykes and Aidan Slingsby highlight her role in a vibrant research community. She has supervised numerous research projects and mentored students in visualization and geospatial analytics, though specific names are not listed in the provided text. Her work has been supported by various research grants, particularly in domains involving urban mobility, energy modeling, and crisis informatics, though grant details are not specified here. Jo Wood has also contributed to the design of visual analytics systems for applications including disease spread modeling, bicycle-hire scheme monitoring, and persuasive technology for health and leisure, demonstrating a strong commitment to impactful, interdisciplinary research.

Aleksandar KosticView profile

Lecturer

• Philosophy of Architecture
• Design Theory
• Architectural Design
• +5 more

Aleksandar Kostic is a Lecturer in the Department of Architecture and Built Environment at South East Technological University (SETU), where he also serves as Lead Researcher. He holds a PhD from University College Dublin, awarded in 2022, and is actively contributing to the academic and professional architecture community. PhD in Design Theory, University College Dublin (2022) His research lies at the intersection of philosophy and architectural design, with a strong focus on design theory, epistemology, ethics, and aesthetics. He explores fundamental questions such as aporia (intellectual impasses) in design, the influence of Platonic philosophy, and the ethical responsibilities of architects. His work emphasizes critical thinking and philosophical inquiry in architectural practice and education. The trends in his publications reveal a consistent engagement with philosophical concepts applied to architectural problems. From examining 'aporetic' design challenges to analyzing Plato’s views on expertise, his research bridges abstract thought and practical design. Recent works continue this trajectory, addressing ethical values, non-material aspects of design, and the role of contradiction in innovation. Nomination for MIES EU Award for Architecture (2009) Aleksandar Kostic advises PhD students and is actively involved in research dissemination through publications, peer-review, and conference organization. He serves on the steering committee of the All Ireland Architecture Research Group and is a member of the Centre for Platonic Studies at Trinity College Dublin and the Royal Institute of the Architects of Ireland. His peer-review activities include journals such as She JI and Building Material . He is a key member of the Architecture Research Group at SETU and collaborates across disciplines, particularly with philosophy. His upcoming activity includes organizing the 'Ethics in Architecture' conference in 2025, highlighting his leadership in integrating ethical discourse into architectural research.

• Clinical Sciences
• Psychology
• Communication and Media Studies
• +3 more

Dr. Vasileios Stavropoulos is the Associate Dean, Higher Degree Research at RMIT University's Department of Health and Biomedical Sciences. His research focuses on behavioral addictions, digital phenotyping, and the psychological impacts of digital media, particularly in gaming and social media contexts. He supervises numerous research projects addressing topics like cyber-phenotyping via text mining, disordered gaming, and the interplay between digital media and mental health. Key research interests include the psychological mechanisms underlying problematic gaming and social media use, network analysis of addiction symptomologies, and the role of user-avatar bonds in behavioral disorders. His work integrates machine learning and behavioral science to predict and analyze addictive behaviors. Dr. Stavropoulos has published extensively on gaming disorder, social media addiction, and the mental health implications of digital media use. His collaborations span clinical psychology, public health, and computational methods, reflecting his interdisciplinary approach to addressing modern behavioral challenges. He is actively engaged in higher degree research governance at RMIT, overseeing doctoral programs and fostering innovation in research methodologies. His contributions include developing scales for measuring addiction behaviors and advancing longitudinal studies on mental health correlations with digital engagement.

Chengyong XiaoView profile

Associate Professor

• Sustainable Supply Chain Management
• Corporate Social Responsibility
• Supply Chain Sustainability
• +3 more

C. (Chengyong) Xiao is an Associate Professor of Sustainable Supply Chain Management at the University of Groningen's Faculty of Economics and Business. He holds a BSc in Management Science from the University of Science and Technology of China (2010) and a PhD in Operations Management from the University of Groningen (2019). His research focuses on sustainable supply chains, particularly the extension of sustainability standards in global supply chains, corporate social responsibility, and social enterprises. Education: Bachelor's Degree: Management Science, University of Science and Technology of China (2010) PhD: Operations Management, University of Groningen (2019) Research Interests: Global supply chain sustainability Supplier sustainability capability development Corporate social responsibility and stakeholder engagement Case study and mixed-method research methodologies Awards: Chan Hahn Best Paper Award (2020 AOM Conference) Teaching and Editorial Roles: Teaches courses including Global Supply Chain Management & Sustainability, Management Science, and Operations & Logistics Management Editorial board member of the Journal of Supply Chain Management and Journal of Operations Management Collaborations: Partnerships with multinational companies like Philips and Signify to study supply chain sustainability practices