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P.J. WhiteView profile

Senior Lecturer

• Ageing
• Product Design
• Service Design
• +6 more

Dr. P.J. White is a Senior Lecturer and Research Director at the Department of Humanities and designCORE at South East Technological University (SETU). He also holds adjunct roles at McMaster University (Adjunct Full Professor) and the McMaster Institute for Research on Aging, Canada. His expertise lies in Product and Service Design, with a focus on Aging, Co-Design, and Interdisciplinary Research. Education: PhD in Product Design (Maynooth University, 2012), National Diploma in Industrial Design (2002), and a Bachelor’s in Industrial Design (2002). Research interests include aging-related design, participatory design methodologies, and addressing the digital divide in aging populations. Key projects involve health services co-design (HSE), dementia standards development (NSAI), and global collaborations in Uganda and Mozambique. Notable awards include the Gerontological Society of America David A. Peterson Award (2020) and design accolades from the Institute of Designers Ireland (2002, 2015). He supervises PhD students and has led funded projects like the SFI-supported labor market digital tools initiative. As SETU’s representative in Carlow’s Age Friendly Alliance, he bridges academia and policy. His work spans 53 publications, including high-impact journal articles and conference contributions.

Christine McWayneView profile

Professor

• Early Childhood Education
• Poverty and Education
• Family-School Partnerships
• +3 more

Christine McWayne is a Professor in the Eliot-Pearson Department of Child Study & Human Development at Tufts University, School of Arts and Sciences. Her work focuses on early childhood education, particularly addressing systemic barriers faced by children in poverty and culturally diverse communities. She leads the Ensuring eXperiences for Children's Early Learning Success (ExCELS) Lab and co-founded the Readiness through Integrative Science and Engineering (RISE) Project. Education: PhD in Psychology in Education (University of Pennsylvania, 2003), MS Ed in Psychological Services (University of Pennsylvania, 1998), BS in Psychology (Abilene Christian University, 1996). Research interests include culturally inclusive STEM curricula, family-school partnerships in ethnocultural communities, and strengths-based measurement development. She emphasizes leveraging community voices to inform interventions. Recent work addresses Latine families’ engagement, dual language learners, and bridging home-school divides. Her awards include the 2009 Reviewer of the Year Award. Grants and advising are central to her work, though specific student names are not listed in available materials. She collaborates extensively with community partners to design culturally responsive programs. Labs/Projects: ExCELS Lab (focusing on urban poverty and family engagement) and the RISE Project (STEM curriculum for Head Start teachers). Future work continues to prioritize equity, culturally grounded measurement, and systemic supports for marginalized children.

• Arts-Based Research
• Transformative Education
• Creative Ecologies
• +3 more

Dr. Mary Ann Hunter is Associate Professor in Education at University of Tasmania, specializing in arts-based enquiry and transformative educational practice. Her work explores creative ecologies and reflective supervision frameworks for educators, examining how curiosity and nomad creativity shape learning across formal and informal contexts. Research examines: Arts-based peacebuilding methodologies Reflective supervision for educational leaders Creative ecologies in learning environments Arts-sustainability education connections Community cultural development She leads international networks including IMPACT (initiative for conflict transformation) and coordinates interdisciplinary research projects evaluating arts-based programs like Terrapin Puppet Theatre's dementia care initiative and APRA AMCOS's Songmakers residency program. Honors include the Australian Philip Parsons Prize for Research and Excellence in Leadership Award from the Australian Council for Educational Leadership.

Ruth UrnerView profile

Associate Professor

• Machine Learning Theory
• Adversarial Robustness
• Algorithmic Fairness
• +4 more

Ruth Urner is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University's Lassonde School of Engineering. She holds a PhD in Computer Science from the University of Waterloo (2013) and completed postdoctoral research at Max Planck Institute for Intelligent Systems (Germany), Carnegie Mellon University, and Georgia Tech. She was a Simons-Berkeley Fellow at the Simons Institute in 2017. Research Focus: Dr. Urner develops mathematical foundations for machine learning paradigms including semi-supervised/active learning, transfer learning, and adversarial robustness. Her current work addresses societal impacts of ML through interpretability and fairness frameworks. She leads projects on strategic classification, robust PAC learning, and calibrated model evaluation. Awards & Leadership: Simons-Berkeley Fellowship (2017) Best Paper Award at NIPS 2015 Workshop on Transfer Learning Organizer: Women in Machine Learning Theory workshops (COLT/ALT) Program Committee: NeurIPS, ICML, COLT, ICLR, AISTATS Teaching & Advising: She teaches Machine Learning Theory, Computational Logic, and Introduction to ML at York University. Current student advisees include Master's candidate Alireza Torabian. She has lectured at international summer schools including Hausdorff School on Algorithmic Data Analysis (Germany) and SMILES Summer School (Russia). Affiliations: Faculty affiliate at Vector Institute (Toronto) and collaborator with Max Planck Institute systems. Her lab investigates theoretical guarantees for learning algorithms under distribution shifts and adversarial conditions.

Rene Van AckerView profile

Professor

• Agricultural Sustainability
• Plant Science
• Agroecology
• +8 more

Rene Van Acker is a Professor in the Department of Plant Agriculture at the Ontario Agricultural College (University of Guelph). Currently serving as Interim President of the University of Guelph, he previously held the Dean and Associate Dean External positions at OAC, and chaired the Department of Plant Agriculture. With a B.Sc. and M.Sc. from University of Guelph and a PhD from University of Reading , his leadership has transformed OAC through strategic initiatives like Our Shared Priorities and OAC Space Visioning Plan . Co-founded Arrell Food Institute and Guelph Centre for Urban Organic Farming Established over 20 externally funded chairs and raised $90M+ for OAC Led creation of B.Sc. in Indigenous Environmental Science and other innovative programs His research focuses on agroecology , organic farming systems , weed science , and temperate forest garden systems . Recent publications examine herbicide effects on crops, microbial community dynamics in agroforestry, and novel crop establishment methods. Key projects include evaluating compost applications and woodchip mulching impacts on apple orchard productivity and soil microbial abundance . As an active faculty member, he supervises graduate students , co-teaches OAC capstone courses , and serves on university committees including Budget Committee and Micro-credentials Committee . Externally, he contributes to Rural Ontario Institute and leads the Deans Council (Agriculture, Food & Veterinary Medicine).

Joshua FrenchView profile

Associate Professor

• Spatial Statistics
• Epidemiology
• Environmental Health
• +3 more

Joshua French is an Associate Professor and Director of Data Science Programs at the University of Colorado Denver, housed within the Department of Mathematical and Statistical Sciences in the College of Liberal Arts and Sciences. His research focuses on spatial statistics, epidemiology, environmental health, and statistical methodology with applications to public health and climate science. He leads initiatives in data science education and collaborates on projects addressing disease surveillance, environmental risk assessment, and geospatial modeling. Key research areas include developing statistical methods for cluster detection, analyzing NTM infection risks linked to environmental factors like water quality and trace metals, and evaluating climate model projections. His work integrates spatial analysis with real-world applications in public health and environmental science. French’s contributions span algorithmic innovations (e.g., PreCoG scan method) and interdisciplinary projects such as the MORACS clinical trial and aerosol impact studies on Arctic climate change. He advises the Data Science Programs at UC Denver and maintains active collaborations with institutions like National Jewish Health Hospital. His research has been published in top-tier journals and methodological packages, including 'smerc' and 'smacpod', reflecting his commitment to advancing statistical tools for spatial and environmental data analysis.

Laurel YoungView profile

Professor

• Music Therapy
• Social Gerontology
• Palliative Care
• +8 more

Dr. Laurel Young is a Professor in the Department of Creative Arts Therapies at Concordia University, specializing in music therapy with a focus on gerontology, palliative care, and neurodiverse populations. She holds certifications in the Bonny Method of Guided Imagery and Music (FAMI) and has over 23 years of clinical experience across geriatrics/dementia, oncology, HIV care, and developmental disabilities. Her roles have included Professional Leader of Creative Arts Therapies at Sunnybrook Health Sciences Centre and teaching positions at Wilfrid Laurier University and Temple University. Dr. Young’s research spans multicultural competence in therapy, ethical frameworks, and the intersection of music with health and well-being. Key themes include end-of-life care for dementia patients, singing groups for autistic adults, and bereavement support through music. She has published extensively in peer-reviewed journals and books, including editorial leadership for Barcelona Publishers’ Qualitative Inquiries in Music Therapy Monograph Series (2012–2013). Her work emphasizes bridging research and clinical practice, with a focus on marginalized groups such as older adults, individuals with disabilities, and those facing chronic illnesses. Awards include the 2014 CAMT Research & Publications Award and teaching accolades from Wilfrid Laurier and Temple Universities. Current projects explore AI-assisted therapeutic technologies and community-based music interventions.

Andrea FreidusView profile

Adjunct Professor

• Medical Anthropology
• Global Public Health
• Health and Human Rights
• +4 more

Dr. Andrea Freidus serves as an Adjunct Professor in the Department of Anthropology at the University of North Carolina Charlotte and coordinates the M.A./M.P.H. dual degree program. She holds a PhD in Anthropology from Michigan State University (2011), an MPH and MA in Anthropology from the University of South Florida (2005), and a BA from Vanderbilt University (1999). Her interdisciplinary work bridges applied medical anthropology with global public health, focusing on transnational aid networks, volunteer tourism, and health equity in resource-poor settings. Education: PhD, MSU Anthropology (2011); Dual MA/MPH, USF Anthropology & Public Health (2005); BA, Vanderbilt (1999) Research explores global health systems, child welfare policies, and the socio-cultural impacts of international volunteerism. Notable projects include studies on Malawian orphan aid organizations, risky sexual behaviors among expatriate workers in Costa Rica, and farmworker healthcare access in Florida. Her work critiques humanitarian intervention ethics and highlights power dynamics in transnational development efforts. Awards: Fulbright Hays Fellowship, FLAS Fellowships, MSU Dissertation Fellowships Teaching focuses on medical anthropology, health & human rights, and development in Southern Africa. Current research investigates volunteer tourism’s role in orphan care and international medical experiences’ ethical implications. Advising and program coordination emphasize interdisciplinary public health solutions.

Jordan KidneyView profile

Lecturer

• Artificial Intelligence
• Machine Learning
• Multi-Agent Systems
• +3 more

Jordan Kidney is a Lecturer in the Department of Mathematics & Computing at Mount Royal University (MRU), where he has taught since 2011. His academic background includes a B.Sc. and M.Sc. in Computer Science from the University of Calgary (2003 and 2006, respectively). Kidney’s teaching focuses on introductory and advanced programming, systems architecture, operating systems, and web development. His research interests span Artificial Intelligence, particularly machine learning and multi-agent systems. He is recognized for contributions to educational methodologies in computer science and the development of tools like the ARES Simulator for multi-agent systems research. Education: M.Sc. Computer Science, University of Calgary (2006) B.Sc. Computer Science, University of Calgary (2003) Research Interests: Kidney’s work emphasizes AI applications, including machine learning algorithms and multi-agent systems. He explores emergent behavior testing, cooperative behavior learning, and educational frameworks for complex topics like MAS. His research often intersects with practical tools, such as the ARES Simulator, which he has refined to enhance teaching and testing methodologies. Articles Trends: His publications highlight two key areas: computer science education for non-majors and multi-agent systems research. Recent work (2018) addresses course design challenges for interdisciplinary students, while earlier contributions (2002–2006) focus on ARES-based testing and cooperative behavior analysis in MAS. His earlier studies (2003) also explored genetic algorithms and diversity-driven optimization. Grants & Advising: No advising roles or grants are explicitly listed in the provided information.

• Medical Imaging
• Artificial Intelligence
• Machine Learning
• +7 more

Dr. Neal Bangerter is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He specializes in medical imaging (MRI), artificial intelligence, machine learning, and signal processing. Dr. Bangerter holds adjunct appointments at INSEAD, the University of Utah, and Brigham Young University. His research focuses on ultra-high field MRI, AI applications in healthcare, and data-driven bioscience technologies. He leads the London Collaborative Ultra-High Field Scanner (LOCUS) project and advises companies on AI and innovation strategies. Education: B.S. in Physics (UC Berkeley), M.S. and Ph.D. in Electrical Engineering (Stanford University). Career highlights include roles at McKinsey & Company, Microsoft, and Reactrix, as well as founding BYU's Medical Imaging Research Center. He has pioneered cross-faculty initiatives like the Crocker Innovation Fellowship Program. Research interests include novel MRI pulse sequences, AI in medical imaging, and large-scale health data analysis. His work spans collaborations with Stanford, Oxford, Cambridge, and Siemens Healthcare. He teaches executive education at INSEAD, focusing on bridging technical concepts with business strategies. Key awards include the David Evans Chair at Brigham Young University. His contributions to the UK Biobank Neuroimaging study and development of MRI techniques like RAFO-4 highlight his impact on advancing imaging technologies and AI applications in healthcare.

Meghan AllenView profile

Associate Professor

• Computer Science Education
• Teaching Methodologies
• Educational Technology
• +3 more

Meghan Allen is the Associate Head of Undergraduate Affairs and Associate Professor of Teaching in the Department of Computer Science at the University of British Columbia (UBC). She specializes in computer science education, with a focus on inclusive pedagogy, curriculum design, and teaching methodologies. Her work addresses challenges faced by English Language Learners (ELLs), non-majors, and diverse student populations in STEM education. Allen has taught numerous introductory computer science courses, including CPSC 107, 110, 121, and 210, emphasizing practical programming skills and systemic program design. Allen's research spans autograding innovations, student engagement strategies, and the efficacy of online learning tools. She has co-authored studies on technical writing in CS, universal design principles for accessibility, and the role of experiential learning in software engineering education. Her work is informed by partnerships with students and faculty in Scholarship of Teaching and Learning (SoTL). Awards: Incredible Instructor Awards; UBC CS Teaching Award (2007); multiple TA Teaching Awards. Leadership: Oversees undergraduate affairs in the UBC CS Department, including course coordination and academic policies. Publications: 15+ peer-reviewed articles on education innovation, including recent works on autograding systems and ELL support strategies. Her office is located in the ICCS Building room 243, and she actively contributes to departmental initiatives like the CPSC 110 Challenge Exam process. Allen advocates for inclusive curricula and has pioneered strength-based evaluation approaches to improve student outcomes.

Rachid GuerraouiView profile

Professor

• Distributed Computing
• Concurrent Computing
• Byzantine Fault Tolerance
• +7 more

Rachid Guerraoui is a Full Professor at the École polytechnique fédérale de Lausanne (EPFL) where he leads the Distributed Computing Laboratory (DCL) within the School of Computer and Communication Sciences. He holds appointments in multiple departments including IC-SSC and IC-SIN for teaching, and serves on the IC Academic Evaluation Committee. A Moroccan/Swiss/French researcher, Guerraoui has previously been affiliated with Commissariat à l'Energie Atomique in Saclay, Hewlett-Packard Labs in Palo Alto, the Massachusetts Institute of Technology in Boston, and Collège de France in Paris. Guerraoui's research focuses on distributed and concurrent computing across various scales, from multiprocessors to wide-area networks. His work spans Byzantine fault tolerance, distributed machine learning, blockchain technologies, transactional memory, and consensus algorithms. His recent publications reveal a strong emphasis on Byzantine-resistant machine learning, decentralized learning systems, and the theoretical foundations of distributed consensus. The research demonstrates significant contributions to making distributed systems more robust, efficient, and secure against adversarial conditions. Guerraoui has received numerous prestigious awards including ACM Fellow (2012), Professor at College de France (2018), Nygaard-Dahl Award (2024), and Barroso Award (2025). His work has earned multiple best paper awards at top conferences including DISC, ICDCS, IPDPS, and ACM Middleware. He serves as Associate Editor of the Journal of the ACM (2010-2025) and has chaired program committees for major conferences such as PODC, DISC, and Middleware. As an educator, Guerraoui supervises numerous doctoral students and has mentored many successful researchers who now work at leading institutions and companies including Meta, Oracle Labs, Chainlink Labs, and Protocol Labs. He teaches courses on Distributed Algorithms and Concurrent Algorithms at EPFL, emphasizing both theoretical foundations and practical implementations. His educational initiatives include Wandida, a library of scientific e-synopses, and Zettabytes, projects aimed at making computer science accessible to broader audiences.

Richard NortonView profile

Professor

• Sustainable Development
• Land Use Planning
• Environmental Planning
• +4 more

Richard K. Norton is a Professor at the University of Michigan’s Taubman College of Architecture and Urban Planning, with a joint appointment in the Program in the Environment (PitE) under the College of Literature, Science, and the Arts. He holds a Ph.D. in City and Regional Planning and a J.D. from the University of North Carolina at Chapel Hill, along with master’s degrees in Public Policy and Environmental Management from Duke University. His research focuses on sustainable development, land use planning, planning law, and coastal management, particularly along the Laurentian Great Lakes. He actively contributes to the Michigan Association of Planning (MAP), leading legislative reforms for planning and zoning laws, including successful amendments in 2006 and 2008. He has authored amicus curiae briefs for the Michigan Supreme Court and U.S. Court of Appeals on planning disputes. Teaching areas include Climate Adaptation Planning , Planning Law , and Environmental Planning . Recent publications emphasize coastal resilience, legal frameworks for shoreline management, and citizen perceptions of environmental policies. He leads projects like the Resilient Great Lakes Coast initiative and has secured grants, including a $5M NSF award for transboundary water research. Notable awards include the 2024 ACSP Top Reviewer Award. His work bridges academia, policy, and community engagement, addressing challenges in climate adaptation, coastal governance, and sustainable urban development.

Jiebo LuoView profile

Professor

• Computer Vision
• Natural Language Processing
• Machine Learning
• +7 more

Jiebo Luo is the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the Hajim School of Engineering & Applied Sciences, University of Rochester. He holds a PhD and has been affiliated with the Department of Computer Science since 2011, following a 15-year career at Kodak Research. His research spans computer vision, natural language processing, machine learning, data mining, computational social science, and digital health. Luo is an ACM Fellow, AAAI Fellow, IEEE Fellow, SPIE Fellow, and IAPR Fellow. Education: PhD (specific discipline not explicitly stated in text). Research interests include computer vision, machine learning, data mining, social media analysis, biomedical informatics, human-computer interaction, and ubiquitous computing. He co-authored the book Deep Neural Network for Medical Image Computing: Principles and Applications (Elsevier, 2022). His work has led to nearly 600 technical papers and 90+ U.S. patents. Research Trends: Recent work focuses on large language models (LLMs), multimodal systems, AI-driven social media analysis, and healthcare applications. Key areas include bias analysis in political simulations, video understanding, and benchmark development for AI-generated content evaluation. His research bridges theoretical advancements with practical applications in healthcare, social sciences, and multimedia systems. Awards: ACM SIGMM Technical Achievement Award (2021), IEEE Region 1 Technological Innovation Award (2018), Eastman Innovation Award (2004), and multiple best-paper recognitions at top conferences. Service & Leadership: Served as program co-chair for ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016, and IEEE ICIP 2017. Currently Editor-in-Chief of IEEE Transactions on Multimedia (2020–2022). Editorial board roles include several IEEE Transactions journals and conferences. Labs & Teams: Leads research groups in computer vision and multimodal computing at the University of Rochester, collaborating on projects like UroSAM (kidney stone classification) and computational social science initiatives.

Gaye StephensView profile

Assistant Professor

• Health Informatics
• Electronic Health Records
• Patient Engagement
• +4 more

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.