جستجوی استاد راهنمای دانشگاهی

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +۷ مورد دیگر

Dr. Anwar Haque is an Associate Professor in the Department of Computer Science at Western University, Canada, and a Faculty of Science Distinguished Research Professor. He holds a Ph.D. in Electrical and Computer Engineering and an M.Sc. in Computer Science from the University of Waterloo. Prior to academia, he was Associate Director at Bell Canada. His research focuses on 5G networks, IoT, cybersecurity, AI, and autonomous systems, with over 100 peer-reviewed publications and $15M in collaborative grants. Dr. Haque leads the Western Information & Networking Group (WING) Lab and is the founder/CEO of Bamboo Innovations Inc., a tech startup developing socially responsible smart technologies. Leadership roles include industry expert-in-residence in the Faculty of Science, Undergraduate Chair of the Computer Science Department, and member of Western’s Senate. He has delivered over 30 keynote talks and media features include BBC Earth and The Globe and Mail. Awards include the IEEE CCECE Leadership Award and multiple grants from NSERC, MITACS, and Bell Canada. His work spans network reliability, smart grids, and cybersecurity, with industry partnerships like the Bell-Western 5G Research Centre.

• Network Security
• 5G and Beyond Networks
• IoT
• +۹ مورد دیگر

Lianying Zhao is an Associate Professor in the School of Computer Science at Carleton University and serves as a Director of the Carleton Computer Security Lab (CCSL). His research focuses on low-level platform security, including hardware, firmware, hypervisor, and operating systems, with an emphasis on trusted computing, authentication, privacy preservation, and security metrics. He leads the CCSL research group, collaborating with interdisciplinary teams to address critical security challenges in IoT, cloud systems, and web applications. Education: Not explicitly listed in provided texts. Roles: CCSL Director, Research Supervisor, and Graduate Program Advisor. Dr. Zhao’s work spans hardware security improvements, firmware vulnerability analysis, and user-centric security metrics. Recent research highlights include studies on router configuration habits, tracker detection in web browsers, and CVSS score discrepancies. He has supervised numerous graduate students in cybersecurity domains, contributing to over 30 peer-reviewed publications since 2013. His lab affiliations include CCSL and CISL, where he collaborates on projects such as secure deletion frameworks, TLS validation vulnerabilities, and hybrid decision-making models for cloud security. Current research also explores cross-regional login throttling mechanisms and AI-driven vulnerability detection in embedded systems.

• Trusted Computing
• Hardware/Architectural Security
• Systems Security
• +۳ مورد دیگر

Jialu Zhang is a Tenure-Track Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. Her research focuses on AI-driven solutions for programming challenges, including LLM-powered software development, automated debugging, and program repair. She holds a PhD in Computer Science from Yale University (2023) and a BS in Electrical and Computer Engineering from Shanghai Jiao Tong University (2017, IEEE Honor Class). Her work emphasizes practical applications like Gmerge (merge conflict resolution), PyDex (automated code repair), and Clef (AI-assisted competitive programming). She collaborates with Microsoft Research’s RiSE and PROSE teams, exploring industry partnerships in AI-assisted software engineering. Recent projects include productizing Gmerge for Microsoft Edge and developing educational tools like PyDex for AI-driven tutoring systems. Zhang actively seeks students (Masters/PhD/interns) and industry collaborations to advance AI’s role in programming and software engineering. Her research bridges foundational AI capabilities with real-world software development challenges, emphasizing both technical innovation and educational impact.

• AI for Programming
• LLM-Powered Software Development
• Automated Debugging
• +۴ مورد دیگر

Erica Pimentel is an Assistant Professor at the Smith School of Business, Queen's University. Her research focuses on how technological disruption, such as blockchain and remote work arrangements, impacts auditing practices and professional ethics. She employs qualitative methodologies like interviews and ethnography to explore these themes. Pimentel holds a PhD and MBA from Concordia University, an LLM in Taxation from York University, and is a CPA, CA with prior experience in public accounting. Her research interests include the evolving nature of professions amid technological change, accountability mechanisms in digital systems, and the intersection of work-life balance in academia. Notable projects examine blockchain's implications for audit accountability and the ethical challenges in kinship-based economies. Pimentel also contributes to discussions on workplace culture, emphasizing meaningfulness and equitable policies post-pandemic. Her academic background includes cross-disciplinary collaborations and pedagogical innovation, such as rethinking accounting education through spatial design. While no formal awards are listed, her work is widely cited in technology and auditing circles. She teaches financial accounting and actively publishes in top-tier journals, addressing contemporary issues like interdisciplinarity gaps and competency frameworks in professional development.

• Accounting
• Technology in Auditing
• Remote Work Impact
• +۳ مورد دیگر

Dr. Masud Rahman is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, where he leads the RAISE Lab. He earned his Ph.D. in Computer Science/Software Engineering from the University of Saskatchewan under Prof. Chanchal Roy and completed a postdoctoral fellowship at Polytechnique Montreal with Prof. Foutse Khomh. Ph.D., Computer Science/Software Engineering, University of Saskatchewan Postdoctoral Fellow, Polytechnique Montreal M.Sc., Computer Science, University of Saskatchewan B.Sc., Computer Science, Khulna University His research focuses on the intelligent automation of software maintenance and evolution, particularly in debugging, bug localization, code search, and mining software repositories. He integrates Artificial Intelligence with Software Engineering to tackle challenges in modern software systems, including those involving Large Language Models, Deep Learning, and Cloud Computing. His work addresses critical industry problems such as software bugs, crashes, vulnerabilities, and technical debt, aiming to reduce the immense economic cost of software failures. Dr. Rahman’s recent publications show a strong trend in applying AI and machine learning techniques to software engineering problems, especially in deep learning systems, reproducibility of bugs, and automated code analysis. His work frequently appears in top-tier venues like ICSE, FSE, ASE, TOSEM, and EMSE. Scientific Awards: Governor General's Gold Medal U of S Doctoral Thesis Award Best PhD Thesis Award (Computer Science) Dr Keith Geddes Award Dalhousie Belong Research Fellowship President Gold Medal (Bangladesh) TCSE Distinguished Paper Award (2020) Best Reviewer Award (2 times) Best Paper Award (2 times) Dr. Rahman has successfully advised multiple graduate students and secured over $475K as Principal Investigator and $4.3M as Co-PI from competitive grants including NSERC Discovery, Mitacs Accelerate International, NSERC Alliance, and Dalhousie Startup Fund. He actively contributes to the academic community as a Guest Editor for EMSE Special Issue (SANER 2025), PC Chair, PC Member, and journal reviewer. He leads the RAISE Lab, which focuses on R esearch in A rtificial I ntelligence and S oftware E ngineering, fostering innovation in sustainable software and AI systems.

• Software Engineering
• Software Maintenance & Evolution
• Software Debugging
• +۱۳ مورد دیگر

Michael Karanicolas is an Associate Professor of Law and the James S. Palmer Chair in Public Policy & Law at Dalhousie University's Schulich School of Law. He holds a BAH from Queen's University, a JD from Dalhousie, and an LLM from the University of Toronto. His research focuses on the intersection of constitutional law, human rights, and emerging technologies, particularly addressing AI governance, digital rights, and public policy challenges. Education: Bachelor of Arts and History (Queen's University) Juris Doctor (Dalhousie University, Schulich School of Law) Master of Laws (University of Toronto) Research Interests: His work examines how human rights principles apply to online platforms, privacy, surveillance, and content moderation. He has advised governments and international bodies on AI regulation, digital contracts, and access to information. Key areas include: AI ethics and bias mitigation Regulatory frameworks for emerging technologies Freedom of expression in digital spaces Global South perspectives on tech governance Public sector AI adoption risks Grants & Funding: 2024 National Science Foundation Award: Responsible Quantum Innovation 2023 National Science Foundation Award: Privacy Regulations & Software Development Labs & Affiliations: He leads the Law & Technology Institute at Schulich Law and is affiliated with the Yale Information Society Project. His recent articles analyze AI-driven public services, platform accountability, and deepfake regulation, reflecting his commitment to bridging legal frameworks and technological evolution.

• Artificial Intelligence Governance
• Technology Law
• Privacy and Surveillance
• +۷ مورد دیگر