James Wallace is a Professor at the University of Waterloo's School of Public Health Sciences. His research focuses on enabling people to interpret and interact with healthcare data through Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW) methodologies. He designs Health Informatics systems and evaluates their real-world impact in healthcare settings. Education: BMath in Computer Science (University of Waterloo), MCSc in Human-Computer Interaction (Dalhousie University), PhD in Systems Design Engineering (University of Waterloo), and a Postdoctoral Fellowship at the Cheriton School of Computer Science (University of Waterloo). Teaching interests include Human-Computer Interaction, Information Visualization, and Health Informatics. He leads the Human-Computer Interaction and Health Lab and is affiliated with the Cheriton School of Computer Science. Currently supervises graduate students in areas like HCI, CSCW, and healthcare technology.
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Plinio Moritaمشاهده پروفایل
دانشیار
Plinio Morita is an Associate Professor at the University of Waterloo's School of Public Health Sciences, with cross-appointments in Systems Design Engineering (University of Waterloo) and the Institute of Health Policy, Management and Evaluation (University of Toronto). He holds positions as a Research Scientist at the Centre for Global eHealth Innovation and Techna Institute (University Health Network). His research focuses on leveraging IoT, mHealth, and AI-driven technologies to improve healthcare delivery through remote patient monitoring, telehealth, and aging-in-place solutions. Morita directs the Ubiquitous Health Technology Lab (UbiLab), which develops systems that integrate data from wearable and ambient sensors to enhance population health surveillance and precision medicine. He emphasizes ethical design and equitability in technology deployment for vulnerable populations. Education: BEng in Electrical Engineering, University of Campinas, Brazil MSc in Biomedical Engineering, University of Campinas, Brazil PhD in Systems Design Engineering, University of Waterloo Postdoctoral Fellowship in Healthcare Human Factors, Techna Institute Research Interests: Population-level health surveillance via IoT Non-invasive monitoring systems (e.g., radar-based gait analysis) AI applications in infodemic management and clinical inquiry Ethics of smart health technologies and data governance His work bridges engineering, public health, and human factors to create scalable, user-centered solutions for chronic disease management and aging care. Professional Contributions: Editor for Journal of Medical Internet Research (JMIH and JMIR mHealth/uHealth) Member of IEC/SCC SyC Active Assisted Living Standards Council Professional Engineer (PEO Ontario) Lab & Teams: The Ubiquitous Health Technology (UbiLab) collaborates across disciplines to advance smart health ecosystems, with recent projects focusing on radar-based in-home monitoring and misinformation detection systems.
Dr. Gregory Betts is a Professor in the Department of English Language & Literature at Brock University, serving as Undergraduate Officer and former Associate Director of the Social Justice Research Institute. His research focuses on avant-garde and experimental literature, Canadian modernism, and Indigenous literatures, with a particular emphasis on cultural movements and archival recovery. He holds a PhD from York University (2005) and has held prestigious roles such as Chancellor’s Chair for Research Excellence (2014–2017) and Craig Dobbin Chair of Canadian Studies at University College Dublin (2018–2019). Education: PhD, York University (2005) Key Roles: Associate Director, Social Justice Research Institute (2021–2023) President, Association of Canadian College and University Teachers of English (2020–2022) Editor of multiple scholarly journals including ESC: English Studies in Canada and Canadian Literature Research Interests: Dr. Betts explores revolution, dislocation, and avant-garde techniques in Canadian and Indigenous literature. His work bridges archival recovery, intermedial studies, and cultural historiography. He has published influential monographs such as Avant-Garde Canadian Literature: The Early Manifestations (2013) and Finding Nothing: The VanGardes, 1959–1975 (2021), which earned the Basil Stuart-Stubbs Prize and Gabrielle-Roy Prize. Grants & Projects: Recipient of SSHRC grants for projects on bpNichol’s avant-garde poetry and the VanGardes. He curates the bpNichol.ca Digital Archive and collaborates on initiatives like the SpokenWeb research partnership. Labs/Teams: Involved with the Social Justice Research Institute and SSHRC-funded Editing Modernism in Canada.
Michael Horschمشاهده پروفایل
دانشیار
Dr. Michael Horsch is a retired Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on Artificial Intelligence, Reasoning Under Uncertainty, Constraint Satisfaction, and Machine Learning. He has contributed to bioinformatics through the P2IRC sub-theme, linking genotype and environment to phenotype using computational methods. Education: PhD (Computer Science, UBC, 1998), M.Sc. (Computer Science, UBC, 1990), B.Sc. (Computer Science & Physics, University of Toronto, 1988). Postdoctoral work at Simon Fraser University (2000). Research interests emphasize practical AI applications, including Bayesian networks, constraint satisfaction algorithms, and machine learning. His work bridges theoretical foundations and real-world problems, such as path planning and sensor optimization. Teaching highlights include courses on AI (CMPT 317), programming (CMPT 145), and machine learning (CMPT 423/820). He revised first-year curricula to improve student accessibility, replacing C++ with more user-friendly languages. Recognized for teaching excellence with the 2014 Provost’s Award. Publications span constraint satisfaction, probabilistic reasoning, and Bayesian networks, with notable contributions to algorithm design and optimization.
Jason Archerمشاهده پروفایل
استادیار
Jason E. Archer is Assistant Professor of Communication and Media Technologies at Michigan Technological University's Department of Humanities. His research investigates haptic media, human-machine communication, and sensory dimensions of emerging technologies. Archer explores how touch interfaces, holographic systems, and social robots reconfigure human experience. Recent work analyzes haptic holograms' societal implications and tactile design in robotics. He co-developed frameworks for understanding 'technical materiality' in sensory media. Archer presented at Uncommon Senses conferences and published on visio-haptic apparatuses. His teaching integrates media theory with critical technology studies.
Fidel Merazمشاهده پروفایل
مدرس ارشد
Fidel Meraz is a Senior Lecturer at the University of the West of England, engaged in multisensory art and performance research. His activities include participating in conferences like Uncommon Senses IV, where he contributed to discussions on multisensory art galleries and interactive performances.
Alvine Boaye Belleمشاهده پروفایل
استادیار
Dr. Alvine Boaye Belle is an Assistant Professor in the Department of Electrical Engineering & Computer Science at Lassonde School of Engineering, York University. She leads the DARE! research group and serves on multiple international committees, including ICSE and RE conferences. Her work bridges software engineering with equity, diversity, and inclusion (EDI) initiatives. PhD in Software Engineering (École de Technologie Supérieure, University of Quebec) 2-year Industrial Postdoctoral (University of Ottawa) Graduate Diploma in Public Administration & Governance (McGill University) Dr. Belle's research focuses on system assurance for autonomous systems, generative AI applications in software engineering, and EDI in computing . She applies machine learning to safety case automation and vulnerability detection, as shown in her publications with high-impact journals. Her recent work explores deep learning and SVM models for Android malware detection with 99% accuracy. She mentors a diverse group of students across Bachelor's, Master's, and PhD levels, emphasizing accessibility and social impact in technology. Keynote speaker at Black History Month events Moderator of EDI-focused panels at ICSE conferences Editorial board member for journals like IEEE Software and Information and Software Technology
Gias Uddinمشاهده پروفایل
دانشیار
Gias Uddin is an Associate Professor in the Electrical Engineering and Computer Science department at York University's Lassonde School of Engineering. He also holds an Adjunct Professor position at the University of Calgary. Previously, he served as an Assistant Professor at the University of Calgary from 2020 to 2023. Dr. Uddin's research lies at the intersection of software engineering (SE) and artificial intelligence (AI), with specific focus areas including the assessment of AI trustworthiness using SE (SE4AI) and improving the productivity of software and knowledge professionals using AI-enabled software assistants. His work spans three key domains: Democratized Data Science (HCI → AI4DS, SE4DS), Modernized Software Issue Management (HCI → AI4SE), and Usable Cybersecurity Engineering (HCI → AI4CE). He is particularly interested in how AI can democratize the adoption of machine learning techniques across stakeholders during ML systems development. His recent publications demonstrate a strong focus on practical applications of AI in software engineering, with particular emphasis on detecting hallucinations in LLMs, improving API documentation, and developing AI-assisted tools for software issue management. His research has resulted in numerous publications at top-tier software engineering conferences including ICSE, ASE, and FSE. Distinguished paper award at FSE 2025 for work on hallucination detection in LLMs York University Research Award (2025) IBM Champion recognition for 2024 and 2025 CAS Project of the Year Award at IBM TechXChange 2024 Multiple NSERC-funded research grants Dr. Uddin has successfully secured multiple research grants including an NSERC Discovery Grant, NSERC Alliance International Catalyst Grant on 'Hallucination Detection in LLMs using Metamorphic Testing,' and several industry-funded projects with IBM. He has supervised numerous graduate students who have gone on to successful careers in both academia and industry, with many receiving prestigious scholarships and awards. As the founding director of the Data Intensive Software Analytics (DISA) Lab, he leads a team focused on developing innovative AI-assisted tools for software developers and data scientists.
Dr. Marzieh Ahmadzadeh is an Associate Professor (Teaching Stream) at the Department of Electrical Engineering & Computer Science, York University. She holds a Ph.D. and MSc in Information Technology (Software Engineering) from the University of Nottingham, UK, and a BSc in Computer Engineering from Isfahan University. A certified Professional Engineer (P.Eng.) in Ontario, she has held academic positions at Shiraz University of Technology, University of Toronto, and University of Georgia, USA before shifting her focus to education research in 2015. Education: Ph.D., Information Technology (Software Engineering), University of Nottingham (2006) MSc, Information Technology (Software Engineering), University of Nottingham (2002) BSc, Computer Engineering, Isfahan University Her research intersects Computer Science Education and Human-Computer Interaction , with a focus on Applied Data Mining for educational analytics and security applications. She has published in prestigious venues like ACM SIGCSE, IEEE Transactions, and Future Generation Computer Systems. Recent publications demonstrate expertise in: Exam design and cognitive load optimization Ransomware detection in fog computing environments Breast cancer survivability modeling with imbalanced data Gender preferences in e-commerce UX design Academic integrity analysis in programming education
Natalija Vlajic 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 Electrical Engineering from the University of Ottawa and an M.Sc. in Electrical and Computer Engineering from the University of Manitoba. Dr. Vlajic is a highly accomplished researcher with over 80 publications in international conferences and journals, specializing in cybersecurity with a focus on industrial control systems. Her primary research interests include network and information security, communication systems and network protocols, cybersecurity of industrial systems, machine learning applications in security, and system performance evaluation. She has made significant contributions to the understanding of security risk management, bot and DDoS attacks, user privacy, IoT security, and sensor networks. Her work bridges theoretical security concepts with practical applications in critical infrastructure protection. Dr. Vlajic's recent publications demonstrate a strong focus on Industrial Control Systems security, particularly addressing vulnerabilities through innovative approaches like risk-based cryptoperiod optimization, attack tree modeling using MITRE ATT&CK framework, and advanced bot detection techniques. Her research combines traditional security methodologies with machine learning and data analytics to develop more robust protection mechanisms for critical infrastructure. NSERC University Faculty Award Faculty-Wide Excellence in Teaching Award Departmental Mildred Baptist Teaching Award Best Poster Award at ACM/IEEE ICCPS (2023) Best Paper Award at HoTSoS (2018) Dr. Vlajic actively mentors graduate students including Gabriele Cianfarani, Melina Najimi, Stefan Petrovic, Shadi Sadeghpour, Daniel Brown, and Jazdeep Sarai. Her research group has received significant recognition, with students presenting at major conferences like GradCon hosted by Waterloo's Cybersecurity and Privacy Institute. She serves as a co-editor for the IEEE Communications Magazine special issue on Security of Communication Protocols in Industrial Control Systems. Her research is conducted through the Security Research at York (SecRAY) initiative, focusing on practical security solutions for industrial systems, web applications, and IoT environments. The group maintains strong industry connections and collaborates on real-world security challenges, particularly in the domain of critical infrastructure protection.
Dr. Ellen Balka is a Professor in the School of Communication at Simon Fraser University (SFU) and Associate Dean in the Faculty of Communication, Arts and Technology. Her work focuses on the design and implementation of health information technologies, emphasizing equity, patient safety, and participatory design. She leads the Assessment of Technology in Context Design Lab (ATIC Lab), which explores the human dimensions of technological systems. Her research has secured over $7 million in grants, including major funding from CIHR and MSFHR. Key projects include the ActionADE initiative, which aims to reduce preventable adverse drug events (ADEs) through improved cross-setting communication. Education Ph.D. (Interdisciplinary: Communications, Computer Science, Women’s Studies), Simon Fraser University (1991) M.A. (Women’s Studies), Simon Fraser University (1987) B.A. (Geography and Environmental Studies), University of Washington (1981) Research Interests Health Information Technologies and Policy Participatory Design and Social Informatics Gender and Technology Studies Patient Safety and Adverse Drug Events Awards & Grants Paz Buttedahl Career Achievement Award (2025) CIHR Partnership in Health System Improvement Grant ($1.2M+) MSFHR and BC College of Pharmacists Funding Labs & Projects ATIC Lab : Investigates human-technology interactions and participatory design. ActionADE : Develops software to prevent repeat ADEs through PharmaNet integration.
Madhur Anand is a Professor at the University of Guelph's School of Environmental Sciences, where she leads research on global ecological change and sustainability. Her work integrates empirical studies of forest ecosystems with advanced computational modeling to address biodiversity loss, climate impacts, and human-environment interactions. She holds a Canada Research Chair in Global Ecological Change (2006–2011) and collaborates globally with institutions in Brazil, China, India, and beyond. Her research focuses on: Global Ecological Change : Assessing climate impacts on biodiversity using multi-scale models. Socio-Ecological Systems : Analyzing feedback between human behavior and environmental tipping points. Machine Learning Applications : Developing predictive tools for ecological crises (e.g., droughts, disease outbreaks). Recent publications (2022–2025) emphasize coupled human-environment dynamics, with trends in machine learning integration ( e.g., deep learning for bifurcation detection ) and interdisciplinary approaches to climate mitigation. Awards include the Premier’s Research Excellence Award (2002–2007), 'Top 40 Under 40' (Guelph Mercury, 2009), and recognition from the Indo-Canada Chamber of Commerce (2012). Her lab is funded by NSERC, CFI, and international grants, focusing on field sites in Canadian forests and tropical ecosystems. Current projects examine forest resilience, agroecosystem sustainability, and socio-climate modeling to inform conservation policy.
Dr. Balakumar Balasingam is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Windsor, Faculty of Engineering. His research focuses on Battery Management Systems, Human-Machine Systems, Signal Processing, Machine Learning, and Information Fusion. He holds a Ph.D. in Electrical Engineering from McMaster University (2008). He is a Professional Engineer of Ontario and a Senior Member of the IEEE. His work emphasizes robust battery management techniques, including parameter estimation for lithium-ion batteries and real-time state-of-charge/state-of-power estimation. He also investigates human factors in automated systems, leveraging eye-tracking and pupilometry for cognitive load assessment. Key contributions include the book *Robust Battery Management Systems With MATLAB* (Artech House, 2023) and over 100 peer-reviewed articles in IEEE Transactions, Energies, and other journals. Dr. Balasingam directs the Battery Management Systems Lab and Human Machine Systems Lab, advancing innovations in battery diagnostics, autonomous driving interfaces, and adaptive automation. His research integrates signal processing, machine learning, and control systems to address challenges in energy storage and human-technology interaction. His professional affiliations include the International Society of Information Fusion (ISIF) and active roles in IEEE technical committees. Research grants include funding for battery thermal management systems and cognitive load detection in automated driving scenarios.
Sajjad Dadkhahمشاهده پروفایل
استادیار
Sajjad Dadkhah is an Assistant Professor at the University of New Brunswick (UNB), holding the Canada Mastercard IoT Research Chair and leading the Cybersecurity Team at the Canadian Institute of Cybersecurity (CIC) within the Faculty of Computer Science. He specializes in cybersecurity, IoT security, and machine learning applications in security. His work focuses on developing robust security frameworks, intrusion detection systems, and datasets for emerging technologies like IoT and IoV. He has earned Bronze and Gold medals in international invention competitions and holds a fellowship from Kyushu Institute of Technology. Dadkhah serves as a Board Member and Managing Editor for the Applied Soft Computing (ASOC) Elsevier journal since 2016. His research includes pioneering datasets such as CICIoMT2024 and TruthSeeker, addressing critical challenges in medical IoT security, fake news detection, and vehicular network protection. His academic contributions span over 40 publications, emphasizing practical solutions for real-world cybersecurity threats. He actively collaborates with organizations like Kyushu University and IRIS Smart Technology Complex, bridging academic research with industrial applications.
Arunita Jaekel is a Professor in the School of Computer Science at the University of Windsor. She directs the Vehicular Communication Laboratory and maintains professional affiliations with IEEE. Her research focuses on vehicular ad hoc networks (VANETs), secure V2V communications, wireless sensor networks, and mobile network optimization. Key themes include developing machine learning approaches for intrusion detection, congestion control algorithms using reinforcement learning, and privacy-preserving strategies for connected vehicles. Recent publications emphasize deep learning-based anomaly detection, position forgery countermeasures, and adaptive transmission protocols for safety-critical vehicular systems. Her work shows consistent application of AI techniques to enhance security and efficiency in intelligent transportation networks.
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