جست‌وجوی استاد و پژوهشگر

Sudhakar Gantiمشاهده پروفایل

دانشیار

• Cloud Computing Resource Management
• Software Defined Networking (SDN)
• Traffic Management and Quality-of-Service
• +۳ مورد دیگر

Sudhakar Ganti is an Associate Professor in the Department of Computer Science at the University of Victoria, part of the Faculty of Engineering and Computer Science. He holds a PhD from the University of Ottawa. His research focuses on cloud computing resource management, software-defined networking (SDN), traffic management, quality-of-service optimization, and performance evaluation through queueing theory. His work bridges theoretical frameworks with practical applications in network efficiency and distributed systems. Dr. Ganti’s expertise includes optimizing resource allocation in fog-cloud systems, enhancing telehealth IoT energy efficiency, and developing dynamic defense frameworks for SDN security. His contributions span network traffic prediction, large file transport protocols, and formal verification of networking systems. He has published extensively in top-tier conferences and journals, addressing challenges in distributed computing, cyber security, and edge computing. His research trends emphasize leveraging reinforcement learning for fog-cloud resource allocation, multi-objective optimization in IoT, and SDN-driven network security. Earlier work includes foundational studies on optical router bypass, cloud workload characterization, and conversational agents for smart environments. Despite his prolific output, no academic awards or grants are explicitly mentioned in his profile.

Charles Lingمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +۴ مورد دیگر

Charles Ling is a Professor of Computer Science at Western University, holding the title of Science Distinguished Research Professor. He also serves as Director of the Data Mining and Business Intelligence Lab and Associate Scientist at the Lawson Health Research Institute. His academic background includes a B.Eng. (CS and EE) from Shanghai Jiao Tong University and MSc/PhD from the University of Pennsylvania (UPenn). Research interests span machine learning, deep learning, AI, and healthcare informatics, with notable contributions to the GlucoGuide diabetes management system. He has authored over 220 peer-reviewed papers and a book titled Crafting Your Research Future , focusing on academic career development. Awarded Fellow of the Canadian Academy of Engineering (CAE) and recipient of the First Prize for Best Clinical Research Presentation (2011). Active in grants (NSERC, FedDev, Mitacs) and organizational roles in top conferences (KDD, ICDM). Supervises 5 PhD and 4 MSc students, with notable advisees including Harry Zhang and Victor Sheng. Leverages AI in education to enhance children's cognitive abilities through video-based programs like Power Thinking , approved by Curriculum Services Canada. His work integrates machine learning with healthcare, finance, and software engineering.

Vijay K. Soodمشاهده پروفایل

استاد

• Power Systems
• Power Electronics
• HVDC and FACTS Controllers
• +۳ مورد دیگر

Dr. Vijay K. Sood is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University. He holds a PhD in Power Electronics from Bradford University (UK), and has extensive experience in power systems, power electronics, and renewable energy integration. His research focuses on High Voltage Direct Current (HVDC) systems, Flexible AC Transmission Systems (FACTS), power electronics converters, and grid protection. He has received numerous awards, including Life Fellow of IEEE, Emeritus Fellow of the Canadian Academy of Engineers, and the 2000 IEEE Third Millennium Medal. Dr. Sood has authored/co-authored over 100 publications, including peer-reviewed articles in top journals like IEEE Transactions on Power Electronics and International Journal of Electrical Power & Energy Systems. His work addresses challenges in grid stability, renewable energy integration, and advanced control strategies for power systems. Education: PhD (Power Electronics), Bradford University, UK (1977) MASc (Electrical Machines), Strathclyde University, Scotland (1969) BSc (Electrical Engineering), Nairobi University, Kenya (1967) Awards: IEEE Third Millennium Medal (2000) Canadian Pacific Railway Engineering Award (2002) IEEE Regional Activities Board Achievement Awards (2001, 2006) His research emphasizes practical solutions for modern power systems, including HVDC controller design, synthetic inertia control for renewable grids, and advanced fault detection techniques. He has collaborated internationally on projects like the Energy System Observatory of Honduras and grid architecture models for multi-terminal DC systems.

Gillian Ruth Gowardمشاهده پروفایل

استاد

• Advanced Energy Materials
• Magnetic Resonance Spectroscopy
• Electrochemistry
• +۵ مورد دیگر

Gillian Ruth Goward is a Professor and Chair of the Department of Chemistry and Chemical Biology at McMaster University, where she also serves as Associate Dean of the Faculty of Science. She holds a prestigious McMaster Faculty of Science Research Chair in Magnetic Resonance of Materials for Energy Storage. Her research focuses on advanced energy materials, particularly lithium-ion batteries, fuel cells, and alternative energy systems, utilizing magnetic resonance spectroscopy and imaging. She is a Senior Editor for the Journal of Physical Chemistry and contributes to the Canadian and international Magnetic Resonance and Materials Chemistry communities. Her team employs state-of-the-art magnetic resonance tools to study electrolyte-electrode interfaces and ion dynamics in solid/solution phases. Education: Ph.D. in Chemistry, University of Waterloo (1995-1999) Certificate in University Teaching, University of Waterloo (1997-1998) Honours Bachelor of Science in Chemistry, McMaster University (1991-1995) Her research interests span atomic/molecular spectroscopy, electrochemistry, and chemical characterization of materials, with a focus on improving energy storage technologies. Recent work emphasizes sodium-ion batteries, solid-state electrolytes, and operando NMR techniques to track ion dynamics during battery operation. Her studies often integrate experimental methods like solid-state NMR with computational approaches (e.g., DFT) and advanced imaging (MRI). She has secured significant grants, including a $4.2M award to advance critical minerals research in collaboration with industry leaders. Her contributions include developing polymer-rich composite solid-state electrolytes and plastic inorganic electrolytes for safer batteries. Scientific Awards: McMaster Faculty of Science Research Chair in Magnetic Resonance of Materials for Energy Storage Her teaching activities include Spectroscopy (CHEM 776) and Sustainable Chemistry: Natural Resources and Energy (CHEM 3SC3) . She leads a research group engaged in collaborative projects, as evidenced by her 111 scholarly activities in the last decade. Her lab specializes in air-sensitive studies and has developed innovative RF probes for battery analysis.

Ben Ali, Mahaمشاهده پروفایل

دانشیار

• Industrial Engineering
• Operations Management
• Supply Chain Optimization
• +۵ مورد دیگر

Maha Ben Ali is an Associate Professor at the Department of Mathematical and Industrial Engineering at Polytechnique Montréal. She is also an Adjunct Professor at Université Laval and a member of the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT) and the Laboratoire Poly-Industries 4.0 . Education: Bachelor’s in Industrial Engineering, École Nationale des Ingénieurs de Tunis M.Sc. in Industrial Systems Engineering, École Nationale des Ingénieurs de Tunis M.Sc./Ph.D. in Mechanical Engineering (Industrial concentration), Université Laval Research Interests focus on Industrial Engineering , with emphasis on Demand Management , Supply Chain Optimization , Simulation Modeling , Industry 4.0 , and Data Valorization . Her work combines Operations Research with Machine Learning to solve complex production and logistics challenges, particularly in softwood lumber and bioethanol supply chains . Publications (34 total) include studies on reinforcement learning for demand-driven systems, hybrid recommendation systems in B2B contexts, and symbiotic bioethanol network design . She has presented at conferences like the Winter Simulation Conference and IISE Annual Conference . Scientific Awards: Best paper – CIGI-QUALITA-MOSIM 2023 David Martell Student Paper Prize in Forestry – CORS 2018 NSERC Alexander Graham Bell Canada Graduate Scholarship FRQNT Doctoral scholarship Fast-tracking scholarship Teaching includes courses like Production and Inventory Planning , Simulation of Production Systems , and Logistic Networks . She has supervised 9 completed Master’s theses on topics ranging from multi-project scheduling to CO₂ emission reduction in freight transportation .

Christopher Thomas Ryanمشاهده پروفایل

دانشیار

• Optimization
• Game Theory
• Theoretical Economics
• +۷ مورد دیگر

Christopher Thomas Ryan is an Associate Professor in the Operations and Logistics Division at the UBC Sauder School of Business. He holds a PhD and BA from UBC in Management Science and Mathematics, respectively. His research spans optimization theory, game theory, theoretical economics, video game design, and pedagogy for business education. He has held positions at the University of Chicago Booth School of Business and is affiliated with the Colibri Learning Foundation. Education: BA (Mathematics) and PhD (Management Science) from UBC; BA (Sociology and Economics) from University of Guelph. He has authored numerous textbooks and case studies, including works on research careers, operations management, and teaching methodologies. His work integrates human-centric approaches to operations and education systems. Research Interests include small business operations, education operations, theoretical economics, and the design of video games. He has published in top journals like Management Science, Econometrica, and Mathematical Programming. His grants include SSHRC and NSERC awards. Ryan advises students across multiple institutions and has mentored prominent faculty in marketing, operations, and MIS fields. Teaching focuses on core operations management for MBA programs and pedagogical innovation. He has developed cases on AI in education, early childhood development, and small business sustainability. Ryan’s work bridges academic research with practical applications in business and education sectors.

Giulia Totiمشاهده پروفایل

استادیار

• Computer Science Education
• Ethics in Data Science
• Machine Learning
• +۳ مورد دیگر

Giulia Toti is an Assistant Professor of Teaching in the Department of Computer Science at the University of British Columbia (UBC), part of the Faculty of Science. Her work focuses on computer science education, equity in curriculum design, and fostering inclusive learning environments. She teaches courses such as Applied Machine Learning (CPSC 330), Fairness, Accountability, Transparency, and Ethics (FATE) in Data Science (DSCI 430), and Computers and Society (CPSC 430). Her research explores diversity initiatives in CS education, mastery learning frameworks, and equitable grading practices. Notable contributions include studies on pandemic-era remote teaching impacts and the development of Agora, a tool for enhancing large-classroom engagement. Toti has received UBC Faculty Teaching Awards for her pedagogical innovations. Her interdisciplinary work spans machine learning applications in industry and healthcare, including semantic search systems for clinical data (SemEHR) and predictive analytics for energy production. She is affiliated with the ACE Lab and actively contributes to curriculum reforms addressing DEI (Diversity, Equity, Inclusion) challenges in STEM education. Grants/Awards: Faculty Teaching Awards Labs/Teams: ACE Lab (Advancing Computing Education) Advising: No explicit advisee listings found, but contributes to pedagogical research impacting teaching practices.

Stephanie Posthumusمشاهده پروفایل

دانشیار

• Ecocriticism
• French Literature
• Animal Studies
• +۳ مورد دیگر

Stephanie Posthumus serves as Associate Professor at McGill University, specializing in contemporary French and Québécois literature through the lens of ecocriticism, animal studies, and plant studies. Her research interrogates representations of the non-human across European literary traditions while examining cultural specificities in environmental discourse. Professor Posthumus develops French-specific ecocritical frameworks by engaging with thinkers like Guattari ( écosophie ), Latour ( nature-culture ), and Serres ( contrat naturel ), arguing against universal ecocritical models. Her work spans three interconnected domains: constructing French ecocriticism through monographs like French Écocritique (2017); analyzing animal representations via co-edited volumes including French Thinking about Animals (2015); and pioneering plant studies in Québécois contexts through recent works like Entre les feuilles (2024). She further bridges digital and environmental humanities through SSHRC-funded platform development. Her publication trajectory (2016-2024) reveals intensifying focus on vegetal agency and digital methodologies within ecocritical practice. Articles consistently address cultural differences in environmental representation, with increasing attention to sensory plant studies and posthumanist reconfigurations of human/non-human boundaries across French and Québécois literary landscapes. Professor Posthumus leads the Digital Environmental Humanities initiative, which functions as a research hub featuring digital exhibits, analytical tools like topic modeling, and pedagogical resources. This SSHRC Connections grant project (2013) exemplifies her commitment to interdisciplinary knowledge mobilization through digital innovation. She currently directs collaborative research networks connecting Canadian environmental humanities scholars with digital humanities practitioners, fostering experimental approaches to ecological representation through multimodal projects examining plant intelligence and sensory environmental engagement.

Skyler Wangمشاهده پروفایل

استادیار

• AI
• Technology
• Human-Computer Interaction
• +۷ مورد دیگر

Skyler Wang is an Assistant Professor of Sociology at McGill University, specializing in AI, technology, and human-computer interaction. He holds a Ph.D. from UC Berkeley and previously served as a Sociologist at Meta’s FAIR lab. His research critically examines sociotechnical systems' epistemic cultures and social impacts, focusing on AI-driven human-machine interactions in health, relational contexts, and digital platforms. His research interests include AI ethics, platform societies, digital intimacy, and multilingual systems. Notable works include the book project Sharing Bodies in the Sharing Economy , exploring Couchsurfing’s sociosexual dynamics, and applied AI projects like No Language Left Behind (doubling machine translation languages) and SeamlessM4T (awarded TIME’s 2023 Best Inventions). Teaching focuses on Technology & Society, Artificial Intelligence & Society, and Digital Intimacy. Advising roles include Major/Minor and Honours Sociology students. Active in interdisciplinary collaborations through McGill’s Quebec Inter-University Centre for Social Statistics and global AI ethics initiatives. Education: Ph.D. Sociology, UC Berkeley (2023) Key Affiliations: Meta FAIR Lab (prior), McGill Department of Sociology Publications in Nature , CSCW , Big Data & Society , and media features in WIRED, CNN, and NPR

• Artificial Intelligence
• Electronic Commerce
• Intelligent Agents and Multi-Agent Systems
• +۶ مورد دیگر

Thomas Tran is a Full Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. in Computer Science from the University of Waterloo (2004) and a B.Sc. (Double Major in Mathematics and Computer Science) from Brandon University (1999). His research focuses on Artificial Intelligence, Electronic Commerce, Multi-Agent Systems, Trust and Reputation Modeling, and Recommender Systems. He has published over 80 refereed papers and supervised 27 graduate students (4 PhDs and 23 Masters). Education: Ph.D. in Computer Science, University of Waterloo (2004) B.Sc. (Double Major in Mathematics and Computer Science), Brandon University (1999) Research Interests: AI Applications in E-Commerce and Mobile Business Trust Establishment Models in Multi-Agent Systems Recommender Systems and Deep Learning Clinical Data Analysis for Hidradenitis Suppurativa Awards: Governor General's Gold Medal (2004) NSERC Postgraduate Scholarships (PGS A/B) AAAI Doctoral Consortium Participant (2002) Advising and Grants: Supervised 27 graduate students Recipient of multiple research grants (details unspecified) Labs/Teams: Active in AI and E-Commerce research groups within EECS.

Michael J. Jacobson Jr.مشاهده پروفایل

استاد

• Computational Number Theory
• Public-Key Cryptography
• Cryptographic Protocols
• +۳ مورد دیگر

Michael J. Jacobson Jr. is a Professor in the Department of Computer Science at the University of Calgary. He also serves as Deputy Director of ISPIA and Director of the Information Security Program. His research focuses on computational number theory and its applications to public-key cryptography, including the development of efficient algorithms for arithmetic in class groups of number fields and algebraic curves. His work aims to enhance cryptographic protocol efficiency while improving security through algorithmic advancements and benchmarking. His research interests span cryptographic protocol design, discrete logarithm problem analysis, and the interplay between number theory and cryptography. Notable contributions include studies on divisor arithmetic on hyperelliptic curves, class group computations in quadratic fields, and the security implications of cryptographic systems. Recent publications highlight his interdisciplinary work in both cryptography and medical informatics, including studies on clinical trial methodologies for dermatological conditions. He has also contributed to foundational research in computational algebraic geometry and algorithm optimization for cryptographic applications. Michael has received no publicly listed scientific awards in the provided texts. His advising and grants include collaborations on topics ranging from cryptographic infrastructure to clinical trial design. He leads the Information Security Program at the University of Calgary, fostering interdisciplinary research in cybersecurity and algorithmic security.

Ryan Henryمشاهده پروفایل

استادیار

• Applied Cryptography
• Secure Systems
• Privacy-Preserving Technologies
• +۳ مورد دیگر

Ryan Henry is an Assistant Professor in the Department of Computer Science at the University of Calgary. His research focuses on applied cryptography, emphasizing the development of secure systems that prioritize user privacy. His work spans designing privacy-enhancing technologies, implementing cryptographic protocols, and analyzing number-theoretic attacks on cryptographic assumptions. He also explores theoretical aspects of cryptographic efficiency and practical deployment challenges. While specific educational background details are not provided in the text, his research contributions highlight expertise in cryptography, secure systems, and privacy-preserving technologies. His work has addressed topics such as Private Information Retrieval (PIR), secure messaging, and blockchain privacy. Key research interests include: Secure Multiparty Computation Privacy-Preserving Data Access Efficient Cryptographic Protocols Zero-Knowledge Proofs IoT Security Cryptocurrency and CBDC Design His recent publications emphasize advancements in distributed systems security, privacy in recommendation systems, and cryptographic efficiency. Notable contributions include the Grotto and Duoram frameworks for secure computation, and proposals for Canadian CBDC frameworks. Despite extensive research output, no scientific awards or grants are explicitly mentioned in the provided text. Collaborations and lab affiliations are not detailed, though his work suggests involvement in interdisciplinary projects on privacy and security technologies.

Ehud Sharlinمشاهده پروفایل

استاد

• Human-robot interaction
• Tangible user interfaces
• Virtual reality
• +۴ مورد دیگر

Ehud Sharlin is a Professor in the Department of Computer Science at the University of Calgary, Faculty of Science. His research focuses on Human-Computer Interaction (HCI) with specializations in human-robot interaction, tangible interfaces, virtual/augmented reality, and autonomous vehicle interactions. He holds a Ph.D. in Computing Science from the University of Alberta (2003), and M.Sc. and B.Sc. degrees in Electrical and Computer Engineering from Ben-Gurion University of the Negev (1997 and 1990). Teaches CPSC 481: Human-Computer Interaction I Recipient of the NSERC Discovery Accelerator Award (2019), ACM Creativity & Cognition Honourable Mention (2018), and multiple academic excellence awards Active in industry collaborations, particularly in medical simulation (e.g., VRSpineSim) and geosciences (e.g., PLANWELL) Research explores: Embodied interaction through robotics and wearables Autonomous vehicle-pedestrian communication systems Immersive tools for creative and professional domains Accessibility in human-technology interfaces Publications span over 100 peer-reviewed works, emphasizing design methodologies, user experience in XR systems, and ethical considerations in sociotechnical systems. His work bridges technical innovation with human-centered design principles.

Svetlana Yanushkevichمشاهده پروفایل

استاد

• Biometric Technologies
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Dr. Svetlana Yanushkevich is a Professor in the Department of Electrical and Software Engineering at the Schulich School of Engineering, University of Calgary. She is also a Full Member of the Hotchkiss Brain Institute and the Mathison Centre for Mental Health Research and Education. Her research focuses on biometric technologies, decision support systems, biomedical applications, and computational intelligence. She leads the Biometric Technologies Laboratory, developing strategies for risk assessment in biometric systems and healthcare monitoring through machine reasoning and signal processing. Education : BSc/MSc in Electrical Engineering (1989), State University of Informatics and Radioelectronics, Minsk PhD in Electrical Engineering (1992), same institution Dr. Habilitated in Technical Sciences (1999), Warsaw University of Technology Research Interests : Dr. Yanushkevich’s work spans biometric system design (e.g., gait analysis, facial attributes), decision support via probabilistic models (Bayesian networks, causal inference), biomedical applications (stroke rehabilitation, wearable sensors), and computational intelligence for data science. She emphasizes fairness, bias mitigation, and trustworthiness in AI systems, particularly in healthcare and accessibility contexts. Recent Research Trends : Her recent publications address causal modeling for accessibility barriers, UAV operator cognitive workload, and medical device optimization in radiation therapy. She explores AI ethics, stress contagion in human-robot teams, and cross-spectral biometric systems. Awards & Recognition : 2024 FEIC Fellow (Engineering Institute of Canada) 2019 Research Excellence Award (Schulich School of Engineering) 2001 Senior IEEE Membership Advising & Grants : She coordinates courses like ENCM 509 (Biometric Systems Design) and ENEL 610 (Biometric Technologies). Her research is supported by grants focusing on healthcare AI, accessibility technologies, and computational epidemiology. Labs & Collaborations : Her Biometric Technologies Lab collaborates with institutions like Hokkaido University and the IEEE Computational Intelligence Society. Projects include wearable health monitoring, decision support platforms, and AI-driven epidemiological modeling.

Abraham Punnenمشاهده پروفایل

استاد

• Operations Research
• Discrete Optimization
• Combinatorial Optimization
• +۵ مورد دیگر

Abraham Punnen is a Professor of Operations Research at the Department of Mathematics, Simon Fraser University (SFU), Surrey. He holds a Ph.D. in Operations Research from the Indian Institute of Technology, Kanpur (1990). His research focuses on discrete optimization, combinatorial optimization, and their applications in transportation, logistics, healthcare, and satellite systems. He has supervised numerous graduate students and postdoctoral fellows, contributing to impactful projects like satellite downlink scheduling and fiber optic network design. Education: Ph.D. in Operations Research, Indian Institute of Technology, Kanpur (1990). Research Interests: Operations Research, Combinatorial Optimization, Scheduling, Transportation Logistics, Healthcare Optimization, Satellite Mission Planning, and Network Design. Grants/Projects: Completed projects include satellite downlink scheduling, ferry scheduling, and fiber optic network design. He collaborates with industries on optimization challenges. Students/Advising: Supervised over 20 M.Sc., Ph.D., and postdoctoral researchers, many of whom now work in academia, industry, and consulting.