Find Academic Supervisors

Dr. Don Leidl is an Assistant Professor in the Faculty of Nursing at the University of New Brunswick, Moncton campus. His educational background includes an EdD in Higher Education Administration from the University of Liverpool (2016), Master of Nursing from Athabasca University (2010), and BSN from the University of Saskatchewan (2001). Dr. Leidl's research specializes in virtual reality applications in clinical education, mental health nursing, aggressive patient management, and northern nursing practices. He has secured multiple grants including a $755,000 Government of Saskatchewan grant for large-scale VR integration in nursing education. His scholarly publications focus on innovative educational approaches and mental health interventions. Awards include the Provost Teaching Award (2015) and Saskatchewan Healthcare Excellence Award in Leadership (2007). He serves as President of the Canadian Federation of Mental Health Nurses and founded the Northern Nursing Education Network through the UArctic Thematic Research Network.

• Virtual Reality in Education
• Mental Health Nursing
• Aggressive Patient Management
• +4 more

Stephen VanSlyke is a Teaching Professor in the Department of Nursing at the University of New Brunswick (UNB). He holds multiple degrees from UNB, including a Bachelor of Nursing (1987), Diploma in Administration (1995), Master’s in Nursing (2002), and Diploma in University Teaching (2004). His research focuses on mental health nursing (specifically chronic/persistent mental illness and dialectical behavior therapy), nurse-client relationships, and family nursing. His academic contributions include a co-authored book chapter on personality and impulse-control disorders (2008) and an unpublished master’s thesis on patient satisfaction in mental health services (2002). Teaching responsibilities include clinical courses (N2155, N2063, N4123) and classroom instruction on helping relationships and family challenges. He actively participates in committees such as the Faculty of Nursing Library Committee and UNB Senate Technology Services Committee. Community engagement includes coaching, political canvassing, and church involvement.

• Mental health nursing
• Nurse-client relationships
• Family nursing
• +3 more

Dr. Lisa Best is a Professor of Psychology at the University of New Brunswick's Department of Psychology, located in Saint John. She holds a PhD from the University of Maine, a master's from the University of Arkansas (Little Rock), and an undergraduate degree from York University. Her research focuses on psychosocial factors influencing wellness, particularly how medical diagnoses (e.g., cancer, spinal cord injury) interact with stable (personality traits) and modifiable factors (resilience, mindfulness) to affect health outcomes. She actively engages graduate students in this work. Her research spans health psychology, diagrammatic reasoning, and learning technology. Notable contributions include studies on graphical perception in scientific communication and the effectiveness of clickers in education. She has secured numerous grants for her research. Education: PhD, Psychology, University of Maine MA, Psychology, University of Arkansas (Little Rock) Bachelor's Degree, York University Her work emphasizes practical strategies to improve both psychological and physical health outcomes post-disease or injury. Recent publications highlight themes like psychological flexibility in cancer survivors and LGBTQ+ healthcare access. Awards: Harrison McCain Young Scholar's Award (2008) Dr. Best collaborates on grants and supervises graduate students, contributing to interdisciplinary teams. Her lab's focus includes informal science education and geopark visitor engagement, reflecting her broader interest in science communication.

• Psychology
• Health Psychology
• Medical Psychology
• +3 more

Katherine McGuire is a Teaching Professor in the Department of Psychology at the University of New Brunswick (Saint John campus). She holds a BA, MEd, and MA from UNB. Her career spans over three decades, including roles as Departmental Laboratory Manager (1989–2006), full-time Psychology Instructor (since 2006), and student residence Don (1996–2003). Her research focuses on sleep behavior, adult learning styles, graph interpretation, and the intersection of human attachment with spirituality. She has taught internationally in China and Swaziland. Dr. McGuire actively contributes to academic governance, serving as co-chair of the Teaching Excellence and Policy Senate Committee, member of the Vice President's Excellence in Teaching Committee, and member of the Research Ethics Board. She also participates in the Interprofessional Health Research Day organizing committee and New Brunswick Bioethics Consortium. Her scholarly work blends education innovation with cognitive science, emphasizing practical applications like library instruction techniques and graph-based problem-solving. Her publications span sleep research methodologies to pedagogical advancements in technology-enhanced learning.

• Psychology
• Education
• Sleep Research
• +5 more

Paulo Garcia is an Assistant Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. He holds a Ph.D. in Computer Engineering from the University of Minho, Portugal, with research periods at Asian Institute of Technology and University of Würzburg. His academic roles include serving as a faculty member, thesis chair/examiner, and committee member in multiple university initiatives. Research Focus: Embedded real-time systems, hardware/software co-design, FPGA acceleration, and engineering pedagogy. Specific technical areas include multicore architectures, runtime systems, and hardware accelerators for embedded applications. His work emphasizes synergies between processor architectures, compilers, and FPGA-based solutions. Teaching: Courses include SYSC 3310 (Real-Time Systems), SYSC 4310 (Computer Architecture), and SYSC 5807 (Hardware/Software Co-Design). He supervises senior projects like robotic systems and eHealth wearable devices. Awards & Grants: Includes 2020 awards from General Dynamics Mission Systems and Carleton’s Rapid Response Grant, plus multiple scholarships from FCT Portugal and EU programs. His research has been supported by industry partnerships and defense collaborations. Service: Active in academic service as a thesis evaluator, member of student mental health committees, and representative in university governance bodies. Engaged in curriculum development and embedded systems program revisions.

• Embedded Real-Time Systems
• Hardware/Software Co-Design
• FPGA Acceleration
• +3 more

Rose McCloskey is a Professor in the Department of Nursing and Health Sciences at the University of New Brunswick. Her research focuses on gerontology, health care transitions, emergency nursing, long-term care, and health policy for older adults. She holds a PhD in Interdisciplinary Studies from UNB and certifications in systematic reviews and gerontological nursing. Dr. McCloskey has secured over $2.5 million in research funding, including grants from the Canadian Institutes of Health Research, the Canadian Frailty Network, and the New Brunswick Health Research Foundation. Her work addresses critical issues like optimizing hospital-to-home transitions for frail elderly patients, improving cognitive health through VR technology, and enhancing caregiver support systems. Her research employs mixed methods, including institutional ethnography and discourse analysis, to explore systemic challenges in long-term care. Key topics include dementia care, emergency department utilization patterns, and infection control practices in residential facilities. She collaborates extensively with healthcare providers and policymakers to translate findings into actionable interventions. Education: PhD (UNB), Master of Nursing (UNB), BSc (Acadia University) Key Projects: 3D technology for cognitive health, ambient activity systems for dementia care, caregiver support frameworks Grant Highlights: $444k for WellAssist self-care tech, $225k for dementia activity systems Dr. McCloskey's publications span nursing education, clinical placement strategies, and healthcare process modeling using the Functional Resonance Analysis Method (FRAM). She actively mentors researchers and contributes to interdisciplinary initiatives addressing aging-related healthcare challenges.

• Gerontology
• Health Care Transitions
• Emergency Nursing
• +4 more

Tricia Carmichael is a Professor in the Department of Chemistry and Biochemistry at the University of Windsor. Her research focuses on wearable electronics, materials chemistry, and organometallic chemistry. She leads the Carmichael Lab, which explores innovations in conductive textiles and flexible electronics. Dr. Carmichael holds a PhD in organometallic chemistry and has pioneered interdisciplinary projects merging material science with textile applications. Her work challenges traditional narratives of academic success by emphasizing mental health awareness and systemic change through lived experiences. Research highlights include developing shellac-paper composites for green electronics and integrating electroluminescent devices into fabrics. The Carmichael Lab is located at 401 Sunset Avenue, Windsor, Ontario. Advising: She mentors eight graduate students, including Madysyn B., Gloria D., and Daniella S. No awards or grants are explicitly listed in the provided texts. The lab’s activities emphasize open collaboration and innovation in sustainable materials.

• Wearable Electronics
• Materials Chemistry
• Organometallic Chemistry
• +3 more

Dr. Elina Birmingham is an Associate Professor at Simon Fraser University's Faculty of Education, specializing in autism spectrum disorder (ASD) research with a focus on neurodiversity, sound sensitivity, and technology-based interventions. Her work includes five core research programs: AI-driven interventions for sound sensitivity, neurodiversity advocacy, university mentorship for autistic students, eye-tracking studies on social attention, and facial expression analysis. Funded by NSERC and Kids Brain Health Network, her research emphasizes incorporating autistic perspectives into studies. She has received the 2019 Faculty of Education Award for Excellence in Graduate Student Supervision. Dr. Birmingham teaches courses on developmental psychology and supervises graduate students in ASD and attention mechanisms. She actively participates in organizing conferences like the 'Creating Connections with the National Autism Research Center of Israel' and contributes to interdisciplinary collaborations. Her lab, the Autism and Developmental Disabilities Lab, drives innovation in assistive technologies and social inclusion initiatives for neurodiverse populations.

• Autism Spectrum Disorder
• Neurodiversity
• Sound Sensitivity
• +5 more

Dr. Theodore J. Noseworthy is an Associate Dean (External Relations) and Professor of Marketing at the Schulich School of Business, York University, and holds a Tier II Canada Research Chair in Entrepreneurial Innovation and the Public Good. He leads the NOESIS: Innovation, Design, and Consumption Laboratory, focusing on consumer behavior, product innovation, and marketing technology. His work explores how consumers perceive and interact with new products, including innovations in food, technology, and finance. His research interests span consumer information processing, the psychological impact of automation in food services, social media engagement dynamics, and the societal implications of innovations like genetically modified foods. He has been recognized for contributions to student accessibility, research leadership, and impactful scholarship, including awards from York University, the Journal of Consumer Research, and the Ontario Early Researcher Award. Dr. Noseworthy’s grants include projects on predicting crowdfunding success via visual analytics, consumer behavior during the pandemic, and the ethical communication of innovations. His lab fosters interdisciplinary collaboration to bridge academic insights with real-world applications in marketing and policy.

• Consumer Behavior
• Marketing Technology
• Product Innovation
• +7 more

Dr. Jason Bowey is a Lecturer in the Department of Computer Science at the University of Saskatchewan. He holds a PhD (2021) and BSc (2014) in Computer Science from the same institution. His research focuses on game design, player experience, and the psychological dimensions of digital games, including narrative design, social dynamics, and gender-related issues in gaming environments. Education: PhD in Computer Science, University of Saskatchewan (2021) BSc in Computer Science, University of Saskatchewan (2014) Research interests include understanding player-character belief congruence, the impact of dialogue choices in RPGs, and the effects of social exclusion on gameplay. His work also explores narrative prototyping, trust-building through social games, and the role of leaderboards in player motivation. Recent studies address topics like sexist beliefs in games and the application of spaced practice intervals in skill development. No scientific awards or grants are listed. His office is located at Thorvaldson 377.3, and he can be reached at jason.bowey@usask.ca .

• Game Design
• Player Experience
• Digital Game Psychology
• +3 more

Lori Bradford is an Associate Professor and Canada Research Chair Tier 2 in Social and Cultural Decision Making in Engineering Design at the University of Saskatchewan. She works within the Ron and Jane Graham School of Professional Development, focusing on interdisciplinary social sciences and water resource management. Her research emphasizes community-driven co-design, Indigenous water governance, and the social dimensions of environmental and engineering challenges. Ph.D. in Social Psychology (Lincoln University, New Zealand) M.E.S. (Lakehead University) Honours B.Sc. in Biochemistry with Minor in English (McMaster University) Her research spans water empathy and policy , collaborative modeling , and social determinants of health . Recent work examines digital healthcare systems, biodegradable medical materials, and Indigenous cultural contextualization in engineering education. She actively engages with community-based research methods and Indigenous knowledge systems. Key scientific achievements include the Canada Research Chair Tier 2 award. Her publications demonstrate interdisciplinary collaboration across environmental science, Indigenous studies, and engineering design.

• Interdisciplinary Social Sciences
• Engaged Scholarship
• Social and Cultural Impact Assessment
• +2 more

Gary Linassi is an Associate Professor in the Department of Physical Medicine and Rehabilitation at the University of Saskatchewan. His career spans clinical practice, research, and leadership in medical education. He completed his BSc (Hons) in Geology at the University of Saskatchewan, BMedSc and MB from the National University of Ireland, Cork, and FRCPC in Physical Medicine & Rehabilitation from the University of Saskatchewan. Education: BSc(Hons) Geology (UofS), BMedSc & MB (NUI Cork), FRCPC (UofS) Research Interests focus on improving healthcare delivery for individuals with spinal cord injury and amputations, including falls prevention, self-management programs, and undergraduate medical education innovations. His work addresses gaps in community-based care, health equity, and rehabilitation outcomes. Scientific Awards include First Place in the Medical Student Research Contest (2020), Second Place Award in Education (2016), and Honourable Mention in Case Reports (2016). He has contributed extensively to studies on spinal cord injury registries, amputation trends, and neuro-rehabilitation.

• Spinal Cord Injury Rehabilitation
• Amputation Care
• Amyotrophic Lateral Sclerosis (ALS)
• +3 more

Dr. Steven X. Wang is a full professor in the Department of Statistics at York University and currently serves as the Director of the undergraduate Data Science program. He holds a U.S. patent for Machine Learning and has been recognized with prestigious awards including the Queen Elizabeth II Platinum Jubilee Award (2023) and the Markham-Unionville Achievement Award and Medal (2025) for his contributions to AI in healthcare. Education: Postdoc in Data Science, Pacific Institute of Mathematical Sciences (2002) Ph.D. in Statistics, University of British Columbia (2001) M.Sc. in Applied Statistics, University of California, Riverside B.Sc. in Computational Mathematics, Beijing University of Technology Research Interests: Dr. Wang focuses on applying AI/machine learning to healthcare, particularly in pain analysis using EEG signals and financial time series modeling. His work bridges statistical theory with practical applications in biomedical engineering and medical data analysis. Publications: His recent articles emphasize advancements in neural networks for EEG analysis, financial portfolio strategies, and biomedical signal processing. His work consistently integrates interdisciplinary methods to solve real-world health and financial challenges. Awards: Queen Elizabeth II Platinum Jubilee Award (2023) Markham-Unionville Achievement Award and Medal (2025) U.S. Patent for Machine Learning Innovations Experience: With 30 years of consulting experience and 25 years in scientific computing, Dr. Wang leads research projects addressing critical challenges in healthcare and data-driven decision-making.

• AI/Machine Learning
• Healthcare Applications
• Biomedical Signal Processing
• +3 more

Dr. Sam Liu is an Associate Professor at the School of Exercise Science, Physical and Health Education at the University of Victoria, Canada. As Lab Director of the Digital Health Lab (located in the McKinnon Building), he focuses on leveraging digital technologies like mobile apps, social media, and big data to enhance chronic disease prevention, physical activity promotion, and health surveillance. His work integrates behavioral science with cutting-edge digital tools to create personalized health interventions. His research spans two primary domains: (1) developing digital communication technologies for chronic disease prevention, and (2) utilizing big data to predict health behaviors and outcomes. Key projects include the Activerse app for physical activity, MoodMover for depression management, and PainCaRe for pediatric cancer pain support, all reflecting his commitment to user-centered design and real-world applicability. Keywords: Digital Health, mHealth, eHealth, Physical Activity, Chronic Disease Prevention, Big Data Analytics Subfields: Just-in-Time Adaptive Interventions, Wearable Technologies, Gamification for Health, Virtual Reality Cognitive Training, Postpartum Health Interventions, Adolescent Behavioral Analysis The Digital Health Lab actively recruits participants across diverse studies, including: Chatbots for diabetes management (exploring AI applications) Virtual reality cognitive training for older adults IBD-Move app for inflammatory bowel disease patients While Sam Liu has not received publicly listed scientific awards in this text, his lab has secured grants like the SSHRC Partnerships Engage Grant for team members, highlighting collaborative funding approaches. Current projects emphasize accessibility, with studies requiring Apple Watches, diabetes patients, and family-based interventions to improve health outcomes through technology.

• Chronic disease prevention and management
• eHealth/mHealth
• Big Data and health surveillance
• +4 more

Leila Kosseim is a Professor in the Department of Computer Science and Software Engineering at Concordia University, co-directing the CLaC (Computational Linguistics @Concordia) lab. She holds a PhD from the University of Montreal (1995) and has conducted postdoctoral research at Druide informatique inc. and the RALI group. Her academic leadership roles include Vice-President (2017-2019), President (2019-2021), and Past-President (2021-2023) of the Canadian AI Association (CAIAC), and current Graduate Program Director for the PhD Programs in CSSE. Her research focuses on Natural Language Processing (NLP) and Artificial Intelligence , with particular emphasis on discourse analysis, computational linguistics, and text generation. Notable projects include automated analysis of argumentative essays, clinical trial inference, and meme persuasion detection. Her work integrates deep learning, neural networks, and transformer models to address challenges in text coherence, discourse parsing, and multilingual NLP. Leila has supervised 8 PhD and over 20 Master’s students, contributing to the next generation of computational linguists. Her CLaC lab has participated in multiple international challenges (SemEval, TREC, DEFT) and produced influential tools like TIMBERT and the Concordia NLG Surface Realizer.

• Natural Language Processing
• Artificial Intelligence
• Computational Linguistics
• +3 more