جست‌وجوی استاد و پژوهشگر

Ping Wangمشاهده پروفایل

استاد

• Wireless Communications
• Internet of Things (IoT)
• Machine Learning
• +۵ مورد دیگر

Ping Wang is a Professor at York University in the Department of Electrical Engineering & Computer Science , Lassonde School of Engineering . She is an IEEE Fellow , York Research Chair , and Distinguished Lecturer of the IEEE Vehicular Technology Society . Previously, she was an Associate Professor at Nanyang Technological University (NTU) in Singapore. Education: Ph.D. in Electrical and Computer Engineering, University of Waterloo, 2008 MASc in Electrical and Information Engineering, Huazhong University of Science and Technology, 1997 B.E. in Electrical and Information Engineering, Huazhong University of Science and Technology, 1994 Research Interests: Her research spans wireless communications , Internet of Things (IoT) , machine learning , cloud computing , and smart grid energy management . She focuses on radio resource allocation, network design, performance analysis, and optimization for heterogeneous wireless networks. Future directions include ultra-low power IoT communications, resilient systems, and interdisciplinary integration with power grids and cloud systems. Scientific Awards: IEEE Fellow (2022) Top 2% Stanford Researcher Clarivate Highly-cited Researcher Best Paper Awards: IEEE WCNC (2012, 2022), IEEE ICC (2007), IEEE ComSoc GCC (2018) Best Survey Paper Award, IEEE ComSoc (2023) Teaching & Advising: She teaches undergraduate and graduate courses in communication networks, mobile communications, and digital signal processing. She actively supervises Master’s, PhD, and postdoctoral researchers. Current advisees include Hongda Wu, Farnaz Niknia, and Justin Gouge. She is open to recruiting new students and visiting scholars. Professional Roles: She serves as Associate Editor-in-Chief of IEEE Communications Surveys & Tutorials , Editor-in-Chief of the IEEE VTS Resource Centre, and on the editorial boards of multiple top journals. She has chaired and co-chaired numerous IEEE conferences and symposia.

Nasser Lashgarian Azadمشاهده پروفایل

استاد

• Automation and Control Systems
• Autonomous Vehicles
• Reinforcement Learning
• +۳ مورد دیگر

Nasser Lashgarian Azad is a Professor and Associate Chair (Graduate Studies) in the field of Automation and Control Systems at the University of Waterloo. His research focuses on advanced control strategies for autonomous and connected vehicles, including reinforcement learning, model predictive control (MPC), and cybersecurity. He specializes in vehicle dynamics, energy management systems, and decision-making algorithms for complex scenarios such as platooning, collision avoidance, and shared spaces. His work spans interdisciplinary applications in automotive, aerospace, and robotics, with contributions to hybrid electric vehicle optimization, cyber-physical systems security, and real-time trajectory control. Key areas of interest include autonomous navigation, resilient control systems, and the integration of AI with traditional control methodologies. Dr. Azad has published extensively on topics such as deep reinforcement learning for autonomous driving, secure vehicle platooning, and adaptive cruise control. His research emphasizes practical implementation, with experimental validations in domains like electric vehicle energy management, lane-changing algorithms, and roundabout navigation. He is actively involved in advancing control systems for connected and automated vehicles, addressing challenges in safety, efficiency, and scalability. His contributions have been applied to both ground vehicles and space systems, reflecting a broad expertise in dynamic systems and intelligent control.

Jimmy Linمشاهده پروفایل

استاد

• Information Retrieval
• Natural Language Processing
• Data Management
• +۲ مورد دیگر

Jimmy Lin is a Professor and David R. Cheriton Chair at the University of Waterloo's David R. Cheriton School of Computer Science. His research focuses on information retrieval, natural language processing, and data management, with applications in large-scale data analysis and AI systems. Previously at the University of Maryland, he earned his PhD from MIT in 2004. PhD in Electrical Engineering and Computer Science, MIT (2004) MS, Mechanical Engineering, Penn State University BSc, Mechanical Engineering, Addis Ababa University His research integrates information retrieval, NLP, and data management to build tools for understanding large datasets. Current interests include neural retrieval models, cross-lingual systems, and efficient search algorithms. Recent publications focus on retrieval-augmented generation (RAG), model efficiency, multilingual NLP, and evaluation methodologies. Trends include hybrid dense-sparse retrieval systems, robustness improvements, and practical toolkits like Anserini and Tevatron. ACM Fellow SIGIR Academy ACL Fellow SAE Ralph R. Teetor Educational Award (2014) NSF CAREER Award (2011) He advises 36+ PhD/Master's students and leads multiple industry collaborations (Primal, RSVP, Twitter). His lab develops open-source tools for retrieval and NLP, focusing on scalable and multilingual applications.

• Internet architecture and protocols
• Multimedia content distribution and processing
• Wireless mobile networking
• +۵ مورد دیگر

Prof. Jiangchuan Liu is a Professor in the School of Computing Science at Simon Fraser University (SFU), holding prestigious fellowships from the Canadian Academy of Engineering, IEEE, and NSERC. His research focuses on Internet architecture, wireless networks, cloud computing, and multimedia systems. He teaches courses in data communications and multimedia computing. Education: Ph.D. Computer Science, The Hong Kong University of Science & Technology, 2003 B.Eng. (Cum Laude), Tsinghua University, Beijing, 1999 Research Interests: His work spans energy-efficient networking, pervasive backscatter systems, edge computing, and 5G/6G mobile vision analytics. He emphasizes practical IoT applications, including wearable health monitoring and smart grid management. Article Trends: Recent publications address satellite networking (e.g., Starlink performance), battery-free wearables, and AI-driven multimedia systems. A key theme is integrating energy-efficient communication with emerging technologies like 6G and edge intelligence. Awards: Canadian Academy of Engineering Fellow, IEEE Fellow, NSERC E.W.R. Steacie Memorial Fellow Labs & Teams: Active in the Tangent Lab , exploring edge-assisted analytics and immersive media systems. Collaborates on projects like PupilHeart for mobile health monitoring and Apollo for battery-free wearables.

Saeed Sametمشاهده پروفایل

استاد

• Cybersecurity
• Privacy-Preserving Data Mining
• Federated Learning
• +۵ مورد دیگر

Dr. Saeed Samet is a Professor in the School of Computer Science at the University of Windsor. His research focuses on cybersecurity, privacy-preserving data mining, federated learning, blockchain technology, and healthcare informatics. He has led projects such as the privacy-preserving personal health record system (P3HR) and the decentralized electronic health records (DEHR) model leveraging blockchain. Samet actively engages in interdisciplinary collaborations, including developing frameworks like SEERa for community prediction and RNBFT for scalable Byzantine consensus. He advises students like Saghi Khani on topics such as social isolation detection algorithms. Notably, his work addresses adversarial attacks in machine learning and federated learning security. Samet has contributed to initiatives like the International Collegiate Programming Contest and the WE-Spark Health Institute grants. Education While formal academic credentials are not explicitly detailed in the text, Samet holds a professorship, indicating advanced qualifications in computer science or related fields. His extensive publications suggest doctoral-level expertise. Research Interests Samet’s research spans cybersecurity mechanisms, privacy-preserving methodologies (e.g., homomorphic encryption, federated learning), blockchain applications in healthcare, and machine learning robustness. Recent work emphasizes scalable consensus algorithms (RNBFT), adversarial defense in federated learning, and frameworks for decentralized data evaluation. His projects often integrate real-world challenges, such as combating fake news via generative AI and enhancing pandemic response through blockchain-based patient tracking. Awards & Grants Recipient of a WE-Spark Health Institute grant for innovative research in Windsor-Essex (2021). His work on social isolation algorithms (2020) and privacy-preserving statistical analysis (2019) underscores sustained funding support for impactful projects. Advising & Grants Advises Saghi Khani on machine learning algorithms for social isolation detection. Collaborates on grants involving interdisciplinary teams, such as the $287,000 WE-Spark Health Institute award. His research often bridges academia and industry, addressing practical challenges in healthcare and cybersecurity. Labs & Teams Leads initiatives in the School of Computer Science’s research groups, focusing on privacy-preserving systems and distributed learning. Collaborates with organizations like the WE-Spark Health Institute and the University of Windsor’s interdisciplinary teams on projects such as the DEHR blockchain model and federated learning frameworks.

Susan Tigheمشاهده پروفایل

استاد

• Transportation Engineering
• Pavement Engineering
• Infrastructure Management
• +۶ مورد دیگر

Dr. Susan Tighe is the Provost and Vice-President (Academic) at McMaster University and a Professor of Civil Engineering. She holds prestigious fellowships (FCAE, FCSCE, FEIC) and has led national/international research in sustainable transportation infrastructure. Her career includes roles as a Canada Research Chair, Director of the Centre for Pavement and Transportation Technology, and Deputy Provost at the University of Waterloo. She has secured over $25M in research funding and authored 400+ technical publications. Education: BSc (Chemical Engineering, Queen’s University), MASc/PhD (Civil Engineering, University of Waterloo). Chartered Director (DeGroote School of Business). Awards include the Sanford Fleming Award (Canada’s top civil engineering prize), Engineering Medal in Research, and 21 best paper awards. Recognized in Canada’s Top 40 under 40 and 80 Women to Watch . Research focuses on resilient infrastructure, sustainable materials, and climate adaptation. She pioneered the 2013 Transportation Association of Canada’s Pavement Asset Design Guide. Current projects involve lightweight cellular concrete, polyurethane-bound pavements, and flood resilience. Supervised >100 graduate students and continues advising at McMaster. Labs/Teams: Former leadership in the Centre for Pavement and Transportation Technology. Collaborations span Canada, Africa, Chile, India, China, Australia, and New Zealand. Advocates for accessibility in engineering through CSCE’s President’s Task Force.

Ethan Pancerمشاهده پروفایل

دانشیار

• Consumer Behavior
• Digital Marketing
• Social Media Analysis
• +۳ مورد دیگر

Ethan Pancer is an Associate Professor and Sobey Professor in Marketing at the Sobey School of Business, Saint Mary’s University. He specializes in impression formation, digital innovations, and social media’s impact on consumer behavior. His work has been published in journals like the Journal of Consumer Psychology and Journal of Business Ethics , and he has secured multiple SSHRC grants. Pancer is recognized for excellence in teaching, receiving the Stewart Medal, and was named one of the '40 Most Outstanding B-School Profs Under 40' by Poets & Quants (2017). He earned B.Com., M.Sc., and Ph.D. degrees in Marketing from Queen’s University’s Smith School of Business. His teaching focuses on Marketing Management, Consumer Behavior, and Entrepreneurship. Pancer advises early-stage companies and collaborates with organizations like IBM and Rogers Communications. His research explores automation in restaurants, crowdfunding success predictors, and viral social media dynamics, emphasizing ethical and psychological dimensions of modern marketing practices. Education: Ph.D., M.Sc., B.Com. in Marketing, Queen’s University Awards: Stewart Medal (2017), Poets & Quants Recognition (2017) Grants: Multiple SSHRC grants Pancer’s work bridges academic rigor and industry relevance, addressing how digital tools and social media shape modern consumer behavior. His lab focuses on topics like algorithmic engagement prediction and ethical marketing strategies in automated systems.

• Artificial Intelligence
• Algorithmic Fairness
• Social Choice Theory
• +۵ مورد دیگر

Nisarg Shah is an Associate Professor in the Department of Computer Science at the University of Toronto, part of the Theory Group. He also serves as a Research Lead at the Schwartz Reisman Institute for Technology and Society and a Faculty Affiliate at the Vector Institute for Artificial Intelligence. His research focuses on developing theoretical foundations for AI systems, particularly in algorithmic fairness, social choice theory, game theory, and mechanism design. He co-developed Spliddit.org, a not-for-profit platform aiding fair decision-making for over 250,000 users. Shah's work bridges computer science with economics, political science, and cognitive psychology. Recent research emphasizes fairness in AI across domains like voting, resource allocation, and recommendation systems. His 2025 AAAI paper on distortion minimization received an Outstanding Paper Award, and his 2016 work on maximum Nash welfare won the 2024 Kalai Prize. He has supervised numerous collaborative projects in fair division, public policy, and multi-agent systems. Key affiliations include Vector Institute (AI), Schwartz Reisman Institute (Society-Impact Technology), and the Theory Group (Computer Science). His research portfolio spans over 80 publications in top venues like AAAI, NeurIPS, EC, and IJCAI, addressing both foundational theory and practical applications of fair and strategic AI systems.

Hasan Cavusogluمشاهده پروفایل

استاد

• Information Systems
• Information Security Management
• Privacy on Online Social Networks
• +۴ مورد دیگر

Hasan Cavusoglu is a Professor in the Accounting and Information Systems Division at the Sauder School of Business, University of British Columbia. He holds a Ph.D. and M.S. from the University of Texas at Dallas and a B.S. in Electrical and Electronics Engineering from Bogazici University. His research focuses on economics of information systems, cybersecurity governance, privacy in digital ecosystems, and strategic IT investments. Cavusoglu's work has been published in top journals like Information Systems Research , Production and Operations Management , and Management Information Systems Quarterly . He currently serves as MIS Head and teaches Management Information Systems courses. Education: B.S. in Electrical and Electronics Engineering, Bogazici University (Istanbul, Turkey) M.S. in Management and Administrative Sciences, University of Texas at Dallas Ph.D. in Management Science with MIS specialization, University of Texas at Dallas Research Interests: Explores how IT investments create strategic value, with emphasis on cybersecurity's economic implications, privacy management in social networks, and IT-enabled organizational strategies. His recent work examines bloatware consequences, board-level IT governance, and information asymmetry in supply chains. Grants & Advising: Advised over 10 Ph.D. and M.Sc. students on IT security, privacy, and digital strategy topics Recipient of research grants from institutions including the Social Sciences and Humanities Research Council of Canada (SSHRC) Labs/Teams: Actively involved in Sauder School's cybersecurity initiatives and collaborates with industry partners on digital transformation projects.

Daniela Constantinescuمشاهده پروفایل

استاد

• Haptics
• Mechatronics
• Robotics
• +۳ مورد دیگر

Daniela Constantinescu is an Undergraduate Program Director and Professor in the Department of Mechanical Engineering at the University of Victoria (UVic). She holds a BASc from Transilvania University (Romania), MASc and PhD from the University of British Columbia (UBC). Her research focuses on haptics, robotics, mechatronics, and dynamics and control, with applications in rehabilitation and human performance enhancement. She has been recognized with the Best Paper Award at the 2004 IEEE International Symposium on Haptic Interfaces. Her current research explores haptic rendering of virtual environments, collaborative haptic manipulation, and passivity-based control of robotic systems. Education: BASc (Transilvania University), MASc/PhD (UBC) Roles: Undergraduate Program Director, Professor Affiliations: UVic Mechanical Engineering Her work bridges disciplines such as haptic rendering, telerobotics, and computational dynamics. She investigates topics including virtual constraints for rehabilitation, stable haptic simulation of multibody systems, and impulsive control strategies. She actively mentors graduate students and collaborates with industry on wave energy initiatives like the West Coast Wave Initiative (WCWI).

• Formal methods
• Formal verification
• Model checking
• +۸ مورد دیگر

Summary Alan J. Hu is a Professor in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Faculty of Science. His primary research interests include formal methods, formal verification, model checking, and software/hardware co-design. He leads research in areas such as post-silicon validation, cloud resource scheduling, and concurrency verification. Hu teaches courses like CPSC 513 (Formal Verification) and CPSC 320 (Algorithm Design). Education & Roles: Ph.D. in Computer Science (Stanford University), current roles include supervision of graduate students (e.g., Malte Schwerin, Stuart Hoad) and leadership in research groups like ICICS and CAIDA. Research Contributions: Key projects include BackSpace (post-silicon debug framework), MonoSAT (SMT solver), and contributions to formal verification of embedded systems. His work on cloud resource scheduling (e.g., Gridiron, Cospot) addresses network bandwidth guarantees in datacenters. Awards & Recognition: Recipient of the IEEE Outstanding Service Award, IBM Faculty Award, and UBC CS Teaching Award. His research is supported by industry (Intel, Microsoft) and grants (NSERC, SRC). Labs & Collaborations: Active in UBC's Institute for Computing, Information and Cognitive Systems (ICICS) and the CAIDA lab for AI-driven decision-making.

• Game Studies
• Virtual Worlds
• Rhetoric
• +۳ مورد دیگر

Neil F. Randall is an Associate Professor in the Department of English at the University of Waterloo, Canada, and Executive Director of the Games Institute (GI). He chairs the Council for Responsible Innovation and Technology (CRIT), focusing on ethics in emerging technologies. His academic career spans over three decades, with roles including Director of the Centre for Professional Writing and leadership in interdisciplinary research initiatives like the SSHRC-funded IMMERSe network. His research bridges game studies, rhetoric, and digital media, emphasizing virtual worlds, interactive storytelling, and Tolkien's influence. He has authored technical books and over 500 articles for publications like PC Magazine . Awards include the SSHRC Doctoral Fellowship and A.M. Ross Prize. His teaching spans undergraduate and graduate courses in rhetoric, professional writing, and digital media. Supervised students include Isabel Pedersen and others in game studies and semiotics. Education: PhD, York University (1985), Canadian Literature MA, University of Waterloo (1981), English BA, University of Guelph (1979), English Research & Grants: Led the IMMERSe SSHRC Partnership Grant ($5.8M), collaborations with Scotiabank and Correctional Service Canada. Published on game-driven digital experiences and ethical technology. Authored books on HTML, the Internet, and game design. Awards: SSHRC Doctoral Fellowship (1983–1985), A.M. Ross Prize (1978), Alma Mater Scholarship (1978). Labs/Teams: Co-founded the Games Institute and contributed to interdisciplinary research at the GI and CRIT, fostering equity, diversity, and inclusivity in tech.

Umair Rehmanمشاهده پروفایل

استادیار

• Human-Centered Computing
• Artificial Intelligence Ethics
• Entertainment Computing
• +۴ مورد دیگر

Umair Rehman is an Assistant Professor in the Computer Science Department at Western University, directing the Human-Centered Computing Group (HCCG). He holds an MASc and PhD in Systems Design Engineering from the University of Waterloo. His research focuses on three core areas: entertainment computing (video games and social technologies), human-centered artificial intelligence, and systems in complex environments. Rehman’s work integrates Human-Computer Interaction (HCI) and cognitive engineering to develop user-centered systems balancing entertainment and productivity. He emphasizes ethical considerations in human-technology interaction, including algorithmic transparency and AI moral reasoning. His research group explores topics such as AI-generated image evaluation frameworks (e.g., GLIPS score), moral decision-making comparisons between humans and AI models (ChatGPT-3), and cybersecurity human factors. Notable projects include studies on flight simulation training devices, blockchain e-voting adoption, and longitudinal coadaptation of older adults with smart technologies. Rehman’s interdisciplinary approach spans game design ethics, wearable technology adoption, and cognitive modeling in driving scenarios. His work bridges technical innovation with societal impact, addressing challenges in AI transparency, cybersecurity education, and technology accessibility. Current initiatives include developing frameworks for evaluating AI systems through human perception and advancing ethical guidelines for autonomous systems.

Laura K. Reidمشاهده پروفایل

مدرس

• Database Systems
• Cybersecurity
• Access Control
• +۳ مورد دیگر

Laura K. Reid is a Lecturer in the Department of Computer Science at Western University, affiliated with the Faculty of Science. She holds an Honors Bachelor of Science in Computer Science and Mathematics from Western University, a Bachelor of Education from Althouse College, and a Master of Science in databases. With over 20 years of experience, she has taught diverse class sizes (15-400 students) across all academic levels. She served as Undergraduate Chair of Computer Science, Computer Science Outreach Chair, and Faculty of Science Outreach Chair. Her academic focus spans database systems security, role-based access control, and computer science education innovation. She has pioneered blended learning approaches in programming courses. Her professional engagements include extensive outreach initiatives promoting STEM education. Notable contributions include foundational work on integrating role-based security with relational databases (1990s) and recent pedagogical research on blended learning challenges. Though no specific awards are listed, her extensive teaching portfolio highlights her dedication to education.

Kami Vanieaمشاهده پروفایل

دانشیار

• Cyber Security and Privacy
• Human-Computer Interaction
• Phishing Detection
• +۷ مورد دیگر

Biography Dr. Kami Vaniea is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where she leads the Technology Usability Lab in Privacy and Security (TULiPS). Her research focuses on making security and privacy technologies accessible to end-users, developers, and system administrators. Prior to this role, she held positions at the University of Edinburgh (2015–2023) as Reader (Associate Professor) and Indiana University (2014–2015). Education PhD in Computer Science, Carnegie Mellon University, 2012 BSc in Computer Science, Oregon State University, 2005 Research Interests Her work spans cybersecurity, privacy, human-computer interaction, and phishing mitigation. Key areas include: Developer-centered privacy and security practices Phishing detection and user education Smart speaker privacy in multi-user environments Patch management challenges for system administrators Virtual reality applications in authentication systems Affiliations Technology Usability Lab in Privacy and Security (TULiPS) Cybersecurity and Privacy Institute at Waterloo Games Institute and Design Informatics at University of Edinburgh Teaching She teaches courses such as ECE 458 (Computer Security) and ECE 750 (Special Topics in Computer Software), emphasizing practical cybersecurity principles and emerging threats. Grants and Projects Her projects include funded research on phishing mitigation strategies, smart speaker privacy, and developer education in privacy-by-design. She collaborates internationally on initiatives like the REPHRAIN Center for Privacy and Online Influence.