Find Academic Supervisors

Banani RoyView profile

Assistant Professor

• Software Maintenance and Renovation
• Software Analytics
• Empirical Software Engineering
• +4 more

Dr. Banani Roy is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan. Her research focuses on software maintenance, empirical software engineering, program comprehension, and scientific workflow management systems. She explores challenges in quantum computing applications for software engineering, AI-driven code tools, and reproducibility in computational experiments. Her work includes developing frameworks like VizSciFlow for scientific workflow visualization and Nutrient App for environmental monitoring via smartphone applications. Her research interests span topics such as code quality analysis, gender disparities in software systems, and XAI (Explainable AI) challenges. She has contributed to tools like CloneCognition for code clone validation and FSECAM for feature-to-architecture linkage. Her recent studies address developer challenges with large language models and federated learning approaches for real-time bug prediction. Dr. Roy's publications emphasize interdisciplinary applications of software engineering principles in scientific computing, quantum algorithms, and community-driven problem-solving platforms. She advocates for reproducible workflows and FAIR (Findable, Accessible, Interoperable, Reusable) data practices in collaborative scientific research. While no awards are explicitly listed, her extensive contributions to open-source tool development and empirical studies highlight her impact in advancing software engineering methodologies. She collaborates on projects involving legacy system reengineering, cloud-based code clone validation, and asynchronous collaboration frameworks for scientific teams.

Natalia StakhanovaView profile

Associate Professor

• Cybersecurity
• Malware Analysis
• Software Obfuscation
• +7 more

Natalia Stakhanova is an Associate Professor and Director of The CyberLab at the University of Saskatchewan, Canada. She is a leading researcher in cybersecurity, with a focus on malware analysis, software obfuscation, mobile security, IoT security, and e-Health security. Her work integrates practical solutions to real-world security challenges, leveraging advanced techniques in reverse engineering, blockchain forensics, and AI-driven security tools. Her research has been recognized with prestigious awards, including the Best Paper Awards at FPS 2023 and EUSPN 2023, and she was named one of Canada’s Top 20 Women in Cybersecurity. She actively contributes to the cybersecurity community through editorial roles (e.g., IEEE TDSC) and conference leadership (e.g., Program Chair of SAD20 and SSPREW19). Stakhanova’s recent work explores AI-generated code security, adversarial analysis of software tools, and blockchain-based healthcare data integrity. Her projects often involve collaboration with industry partners, emphasizing practical impact alongside academic rigor.

Pippin BarrView profile

Associate Professor

• Digital Games
• Experimental Game Design
• Critical Design
• +12 more

Pippin Barr is an Associate Professor and Department Chair of Design and Computation Arts at Concordia University. His work bridges game design, critical theory, and interactive media, focusing on experimental approaches to play and digital creativity. He supervises graduate students in programs like Design (MDes), Humanities (PhD), and Individualized Programs. Research interests include digital games, experimental game design, critical design, playfulness, and speculative design. His work often explores how design practices can challenge conventional interactions, such as through playable publications or materialized design artifacts. He also investigates themes like interface design, collectivist persuasion, and the intersection of technology with indigenous futures. Barr’s publications emphasize innovative methodologies, such as design materialization frameworks and trajectory documentation in game design. His work spans from foundational HCI research to interdisciplinary projects like StoryTrek and Materializing.Design initiatives. He maintains active research websites ( pippinbarr.com , gamething.life ) showcasing his creative and academic outputs.

Joanna BerzowskaView profile

Associate Professor

• Electronic Textiles
• Interactive Design
• Responsive Garments
• +7 more

Joanna Berzowska is an Associate Professor in Design and Computation Arts at Concordia University, where she also served as Associate Dean (Research, 2017–2020) and Department Chair (2012–2015). She is the founder and Research Director of XS Labs, a design research studio focused on electronic textiles and reactive garments. Her work explores the intersection of material innovation, interactivity, and cultural impact. Additionally, she leads electronic textiles research at OM signal, a startup developing bio-sensing clothing integrated with iPhones. Her research interests include electronic textiles, responsive garments, wearable technology, and the sociocultural implications of material innovation. Her art and design works have been exhibited globally, including at the Cooper-Hewitt Design Museum, V&A, and Ars Electronica. She is a frequent international speaker on topics such as critical materiality and the ethical dimensions of technology. Key projects include the development of soft electronic circuits, photonic textiles, and bio-sensing garments. Her work emphasizes both technological advancement and aesthetic expression, bridging art, design, and engineering. She was honored on Maclean's Honour Roll (2018) for contributions to socially impactful innovation. Her academic contributions span teaching, research leadership, and cross-disciplinary collaboration. She has supervised numerous projects in wearable tech, interactive textiles, and human-centered design methodologies. Current research focuses on optimizing biosensing garments and exploring the role of textiles in mediating human-environment interactions.

Jonathan LessardView profile

Associate Professor

• Game Studies
• Game Design
• Interactive Storytelling
• +5 more

Jonathan Lessard is an Associate Professor at Concordia University's Department of Design and Computation Arts, Faculty of Fine Arts. He serves as a Primary Investigator for LabLabLab and holds the Behaviour Interactive Research Chair in Game Design . His research explores intersections of game design, history, and computational technologies. Education: PhD in Cinema Studies, Université de Montréal MA in History, Université de Montréal BA in Arts and Humanities, Université de Montréal Dr. Lessard's work focuses on emergent narratives , interactive storytelling , natural language interactions , and game design history , with technical expertise in 3D modeling, rendering, and computer graphics. His research spans playful technologies, possible worlds theory, and procedural dialogue systems. Research trends in his publications reveal deep engagement with game design methodologies , narrative systems , and procedural generation . Key contributions include tools for narrative analysis, documentation frameworks for game design, and explorations of language interaction in games. Scientific Awards: Behaviour Interactive Research Chair in Game Design Second Best Paper Award (Foundations of Digital Games, 2018) As a thesis supervisor at Concordia University, Dr. Lessard guides students in Design (MDes) , Individualized PhD Programs , and Humanities PhD Programs . His LabLabLab team develops experimental games like Chroniqueur and SimHamlet , with a focus on design research.

Gabriel VigliensoniView profile

Assistant Professor

• Creative Artificial Intelligence
• Machine Learning
• Human-Computer Interaction
• +7 more

Gabriel Vigliensoni is an Assistant Professor in Creative Artificial Intelligence within the Department of Design and Computation Arts at Concordia University. He holds a PhD in Music Technology from McGill University and maintains active research and creative practice at the intersection of artificial intelligence, music, and human-computer interaction. His work spans academic research, artistic performance, and music production. PhD in Music Technology, McGill University Assistant Professor, Department of Design and Computation Arts, Concordia University Vigliensoni's research focuses on sound and music making through machine learning, human-computer interaction, artificial intelligence, embodied musical interaction, music information retrieval, and new interfaces for musical expression. His approach merges formal musical training with extensive experience in sound recording, music production, and computational techniques. His creative work challenges traditional notions of liveness and immediacy in digital music production through procedural composition and embodied interaction. His recent publications demonstrate a strong focus on interactive machine learning for creative applications, particularly in audio and music domains. The research trends show increasing emphasis on explainable AI for the arts, ethical considerations in AI music applications, and the development of interfaces that facilitate sustained artistic practice with machine learning systems. His work spans from theoretical foundations to practical implementations in musical interfaces. 2025-2027: Co-Applicant, New Frontiers in Research Fund—Exploration 2024–2025: PI, Petro-Canada Young Innovator Award (PCYIA) 2024–2025: Collaborator, Responsible AI UK international partnerships UKRI 2023–2025: PI, Explore and Create | Research Creation (Canada Council for the Arts) 2023–2025: PI, Faculty Research Development Program (Concordia University) 2022–2023: PI, Knowledge Mobilization Grant (FRQSC) 2020–2022: PI, Postdoctoral Research Creation (FRQSC) Vigliensoni supervises graduate students in Design (MDes), Individualized Programs (MA, MSc), and Individualized Programs (PhD). His research is supported by significant grants from Canadian funding agencies as well as international collaborations. His work bridges academic research with artistic practice, creating feedback loops between theoretical exploration and creative output. His studio practice and research involve developing interactive systems for musical expression, with notable projects including Clastic Music, Telematic Awakening, and Re•col•lec•tions. These projects often combine real-time audio processing, machine learning, and gestural interfaces to create novel musical experiences that explore the relationship between human performers and AI systems.

Govind GopakumarView profile

Associate Professor

• Technology and Society
• Urban Infrastructure
• Cities
• +6 more

Govind Gopakumar is an Associate Professor and Chair at the Centre for Engineering in Society within the Faculty of Engineering and Computer Science at Concordia University. He is also cross-appointed to the Department of Geography, Planning, and Environment and co-directs the Mobilities Hub at the Next-Generation Cities Institute. His work bridges Technology and Society , Urban Infrastructure , and Global Engineering , with a focus on Indian cities. PhD in Science and Technology Studies from Rensselaer Polytechnic Institute (2008) MSc in Energy and Environmental Policy from the University of Delaware MSc in Electrical Engineering from Michigan Technological University B Tech in Electrical Engineering from the University of Kerala, India His research explores the politics of urban infrastructure , particularly automobility and water supply in Indian cities, and examines interdisciplinary engineering education reform . He has published extensively in journals like International Journal of Urban and Regional Research , Mobilities , and Water Alternatives . Key projects include the SHIFT Research Fellowship and a documentary Social Life of a Bus (2015), which critiques automobile-centric urban planning in Bengaluru. Recipient of National Science Foundation (USA) and SSHRC grants 2010 Robert Boguslaw Award for Technology and Humanism Shastri Indo-Canadian Institute Partnership Research Grant He teaches core courses like Professional Practice and Responsibility and Development and Global Engineering , which are CEAB-accredited. He also led interdisciplinary student design challenges for inclusive public transit in Bengaluru and contributes to engineering policy frameworks for sustainable development.

David BurgessView profile

Associate Professor

• Organizational Modelling
• Educational Law
• University Administration
• +4 more

Dr. David Burgess is an Associate Professor in the Department of Educational Administration at the University of Saskatchewan, currently on leave following service as Associate Dean. His research focuses on organizational theory, agent-based modelling (ABM), educational law, and university administration. He has co-authored foundational texts in educational administration and law, including widely used textbooks in Canadian teacher education programs. His international collaborations include partnerships with institutions in China, Spain, Bangladesh, and Jamaica, emphasizing organizational simulations and policy development. Educational Background: PhD, University of Saskatchewan (2008) MEd, University of Saskatchewan (2003) BEd (Distinction), University of New Brunswick (2006) BA (Honours), University of Saskatchewan (1997) Research Interests: Agent-based modelling of schools Computer algorithms for mentorship matching Statistical generation of synthetic school populations Artificial neural networks for policy support Bayesian network simulations Educational law and governance Professional Roles: Former Department Head and Graduate Chair Editor-in-Chief of SELU Research Review Journal Consultant for UN/NGLS and Jubilee Residences His recent work includes pro bono projects with Jamaican and Mexican educational ministries, and initiatives in Mozambique. He has received the Thomas B. Greenfield Dissertation Award (2009) and continues to supervise graduate students focusing on ABM and micro-economic analysis in education.

Sara EliasView profile

Associate Professor

• Arts Entrepreneurship
• Aesthetics in Organizations
• Entrepreneurial Imagination
• +3 more

Dr. Sara R.S.T.A. Elias is an Associate Professor at the University of Victoria's Gustavson School of Business. Her research bridges entrepreneurship and organizational aesthetics, focusing on arts entrepreneurship, entrepreneurial imagination, creative processes, and qualitative methodologies. She explores how entrepreneurs generate novelty through imaginative processes that integrate past experiences and customer interactions. Her current research investigates: Co-creation of aesthetic value in arts ventures Spiritual dimensions of entrepreneurship Practice-based entrepreneurial learning Innovative qualitative research methods Dr. Elias has received multiple teaching awards including the 2022 Excellence in Teaching Award from Gustavson School of Business. Her scholarly contributions have been recognized through best reviewer awards from the Academy of Management and finalist standing for the NFIB Doctoral Dissertation Award. Research Grants: Gustavson Executive Program Research Grant (2022-2023) Gustavson Executive Program Research Grant (2019-2020) Gustavson Executive Program Research Grant (2018-2019) Rural Development Programme Grant, EU (2013-2015)

Claudio ContardoView profile

Associate Professor

• Operations Research
• Logistics Management
• Vehicle Routing
• +3 more

Claudio Contardo is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on Operations Research, Logistics Management, Vehicle Routing, Location Analysis, Integer and Combinatorial Optimization, and Artificial Intelligence. He holds an ORCID identifier (0000-0001-7595-3904) and maintains an active academic presence through publications and collaborations. His work emphasizes optimization algorithms for complex systems, including transportation networks, biomedical logistics, and automated systems. Recent contributions include iterative exact algorithms for biomedical sample transportation and counterfactual explanations for k-Nearest Neighbors models. His research bridges theoretical optimization with practical applications in urban mobility, healthcare logistics, and AI explainability. Contardo’s methodologies often involve decomposition techniques (e.g., Dantzig-Wolfe, column generation) and integration of mathematical programming with data-driven approaches. Despite prolific output, no explicit awards or grants are listed in the provided materials. His CV and full publication list are accessible via the provided link.

Brett SchreweView profile

Assistant Professor

• Pediatrics
• Medical Education
• Clinical Practice

Brett Schrewe is an Assistant Professor in General Pediatrics at University of British Columbia's Faculty of Medicine. With extensive clinical experience since 2022, he also serves as Adjunct Faculty in the Island Medical Program. His work integrates clinical practice with medical education innovation. Research focuses on pediatric care models and clinical education methodologies, particularly examining healthcare delivery in community settings. Honors include VAPA PA of the Year (2019) and SUPA Preceptor of the Year (2018) recognizing excellence in clinical education.

• Communication Networks
• Routing Algorithms
• Switching Architectures
• +3 more

Dr. Mike MacGregor is a Professor in the Department of Computing Science at the University of Alberta, where he directs the Master of Science in Internetworking program. His research focuses on fundamental networking challenges including terabit-scale packet processing, bandwidth management in non-cooperative environments, and generalized caching architectures for high-flow environments. Education includes: PhD in Computing Science (University of Alberta) MSc in Process Control (University of Alberta) BSc in Chemical Engineering (University of Alberta) His work explores the tension between simplified network cores versus functionally rich architectures, examining how core devices can balance forwarding efficiency with advanced functionality. Secondary interests include distributed architectures for internet services like streaming media and mail systems. He teaches the capstone MINT 709 Internet Project course involving design/analysis of significant internetworking systems. Previous industry experience includes serving as architect for a regional ISP, informing his research on network scalability and adaptability challenges.

• Deep learning
• Natural language processing
• Programming language processing
• +3 more

Lili Mou is an Assistant Professor in the Department of Computing Science at the University of Alberta, with joint appointments as an Alberta Machine Intelligence Institute (Amii) Fellow and Canada CIFAR AI (CCAI) Chair. His research mission focuses on building intelligent systems capable of understanding and interacting with humans through natural language, involving both text comprehension and generation. Research pillars include: Feature extraction in discrete input spaces Weakly supervised learning in discrete latent spaces Sentence synthesis in discrete output spaces His fundamental work in deep learning for NLP has been applied to information extraction, semantic parsing, syntactic parsing, and text generation. Dr. Mou completed his BS and PhD at Peking University, with postdoctoral training at the University of Waterloo.

• Graph Searching
• Graph Polynomials
• Network Reliability
• +3 more

Danielle Cox is an Associate Professor in the Department of Mathematics at Mount Saint Vincent University (MSVU). Her research focuses on Graph Searching, Graph Polynomials, Network Reliability, and Mathematics Education. She holds a Ph.D. in Mathematics from Dalhousie University (2013), an M.Sc. (2008) from the same institution, and a B.Sc. Honours (2007) from MSVU. Dr. Cox teaches courses including calculus, statistics, graph theory, and programming. Her work spans theoretical contributions to graph theory and practical applications in network reliability, with publications in journals like Graphs and Combinatorics and Theoretical Computer Science . She explores topics such as domination polynomials, hyperopic cops-and-robbers games, and damage number analysis in graphs. No scientific awards are explicitly listed in the profile. Her research emphasizes foundational mathematical problems with real-world implications in network design and educational methodology. Dr. Cox’s advising and grants are not detailed in the provided text, though her academic contributions suggest active involvement in student mentorship and collaborative research. She is affiliated with MSVU’s Department of Mathematics and contributes to interdisciplinary initiatives in applied mathematics and education.

• Higher Education
• Academic Integrity
• Student Experiences
• +3 more

Dr. Alyson King is a Professor in the Faculty of Social Science and Humanities at Ontario Tech University, where she also serves as Associate Dean for Undergraduate Student Experience. She holds a PhD in History of Education from the University of Toronto and specializes in student experiences, academic integrity, and underrepresented populations in higher education. Her research explores innovative pedagogies through projects including the Partnership on University Plagiarism Prevention (PUPP) and SSHRC-funded investigations into underrepresented student success strategies. She teaches courses spanning political science, communication, and indigenous studies, employing an interdisciplinary approach informed by her background in history and international relations. Dr. King's publications consistently address themes of educational equity, mental health support systems, and decolonizing pedagogies. Recent works analyze institutional barriers facing Indigenous students, mental health frameworks in adult education, and participatory methodologies in community-university collaborations. She has mentored numerous graduate and undergraduate researchers examining educational policy, housing politics, and community-based advocacy. Current projects investigate generative AI's impact on academic integrity frameworks and community-engaged research methodologies.