جست‌وجوی استاد و پژوهشگر

Howard M. Schwartzمشاهده پروفایل

استاد

• Adaptive and Learning Systems
• Multi-Robot Learning and Adaptation
• Cooperative Control of Autonomous Robots
• +۴ مورد دیگر

Howard M. Schwartz is a Professor at the Department of Systems and Computer Engineering, Carleton University, within the Faculty of Engineering and Design. He holds a Ph.D. from MIT and specializes in adaptive control systems, multi-robot learning, and reinforcement learning applications in autonomous systems. His work integrates machine learning with robotics, focusing on cooperative control, swarm intelligence, and real-time systems. Education: Ph.D. in Engineering, Massachusetts Institute of Technology (MIT) Research Interests: Adaptive and Learning Systems Multi-Robot Learning and Cooperation Reinforcement Learning for Autonomous Vehicles Control of Robot Manipulators Cooperative Multi-Agent Systems Advising & Research: Supervised over 40 graduate students, with notable projects in drone navigation, swarm robotics, and game-theoretic control. Collaborates with Ericsson on 5G-enabled autonomous systems in the Ericsson Carleton Partnership Program. Labs & Facilities: Ericsson 5G Autonomous Control Laboratory for multi-vehicle research. Swarm robotics experimentation facilities focusing on decentralized control and adaptive algorithms.

Chao Shenمشاهده پروفایل

استادیار

• Robotics Control
• Autonomous Underwater Vehicles
• Model Predictive Control (MPC)
• +۵ مورد دیگر

Dr. Chao Shen is an Assistant Professor at the Department of Systems and Computer Engineering, Carleton University, within the Faculty of Engineering and Design. His research focuses on control theory, machine learning, and optimization applied to robotics systems, autonomous underwater vehicles (AUVs), and intelligent control of mechatronic systems. He leads the Robotics Control and Optimization Laboratory and has supervised multiple capstone projects, including a winning team in the 2022 departmental competition. Dr. Shen holds a PhD from the University of Victoria. He has been appointed as a Technical Editor for IEEE/ASME Transactions on Mechatronics (2023) and Associate Editor for IEEE Canadian Journal of Electrical and Computer Engineering (2022). He also served as Technical Program Chair for the 2022 IEEE Electrical Power and Energy Conference. His research interests include perception and navigation for robotics, cooperative control of multi-agent systems, and distributed model predictive control (MPC) for large-scale systems. Notable contributions include a recently published Springer book on 'Advanced Model Predictive Control for Autonomous Marine Vehicles' (2023) and award-winning work funded by NSERC Discovery Grants. Dr. Shen actively mentors graduate and undergraduate students in topics like robust MPC for visual servoing, UAV coordination, and energy-optimal control strategies. His lab offers funded PhD and MASc positions focusing on control theory applications in robotics and autonomous systems.

Mojtaba Ahmadiمشاهده پروفایل

استاد

• Robotic analysis, design, and control
• Machine and biological locomotion
• Mechatronics
• +۵ مورد دیگر

Mojtaba Ahmadi is a Professor in the Department of Mechanical and Aerospace Engineering at Carleton University, cross-appointed within the Faculty of Engineering and Design. He holds a B.Sc. from Sharif University, an M.Sc. from the University of Tehran, and a Ph.D. from McGill University. His research focuses on robotics, mechatronics, and control systems with applications in rehabilitation, aerospace, and biologically inspired systems. Key areas include robotic locomotion, real-time control, and neuromorphic computing. He has contributed to advancements in FPGA-based neural network implementations, memristor circuits, and soft actuators. Dr. Ahmadi has served on technical committees for conferences such as CA2008, ICA2009, and CSME 2008, and organized special sessions on control applications. His work bridges theoretical models with practical hardware solutions, emphasizing interdisciplinary approaches. Publications span topics from spiking neural networks and neuromorphic vision systems to low-resource digital neuron implementations. He actively explores applications in healthcare robotics and energy-efficient computing architectures.

Alan Davoustمشاهده پروفایل

استاد

• Distributed Systems
• Multi-Agent Systems
• Social Machines
• +۴ مورد دیگر

Alan Davoust is a Professor at the University of Quebec in Outaouais (UQO) since December 2018. He holds a Ph.D. from Carleton University (2015), specializing in Decentralized Social Data Sharing, and has held postdoctoral positions at the University of Edinburgh (2016–2018) and Carleton University (2016). His academic focus spans distributed systems, multi-agent systems, and social machines, with a strong emphasis on ethical interactions and decentralized collaboration. Education: Ph.D., Carleton University, 2015 M.A.Sc., Carleton University, 2009 Engineer Degree (ENSIMAG), Grenoble INP, 2005 Research interests include distributed data management, game theory applications, and the design of social machines. His work explores mechanisms to enhance collaborative systems through decentralized architectures and ethical considerations. Notable projects include the Sociogrammes initiative, which aims to democratize social machine creation, and studies on social contracts to improve non-cooperative game outcomes. Teaching responsibilities include introductory programming courses in Java and courses on distributed artificial intelligence, focusing on multi-agent systems and social choice theory. He actively collaborates with researchers globally and mentors students in these areas.

Paulo Garciaمشاهده پروفایل

استادیار

• Embedded Real-Time Systems
• Hardware/Software Co-Design
• FPGA Acceleration
• +۳ مورد دیگر

Paulo Garcia is an Assistant Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. He holds a Ph.D. in Computer Engineering from the University of Minho, Portugal, with research periods at Asian Institute of Technology and University of Würzburg. His academic roles include serving as a faculty member, thesis chair/examiner, and committee member in multiple university initiatives. Research Focus: Embedded real-time systems, hardware/software co-design, FPGA acceleration, and engineering pedagogy. Specific technical areas include multicore architectures, runtime systems, and hardware accelerators for embedded applications. His work emphasizes synergies between processor architectures, compilers, and FPGA-based solutions. Teaching: Courses include SYSC 3310 (Real-Time Systems), SYSC 4310 (Computer Architecture), and SYSC 5807 (Hardware/Software Co-Design). He supervises senior projects like robotic systems and eHealth wearable devices. Awards & Grants: Includes 2020 awards from General Dynamics Mission Systems and Carleton’s Rapid Response Grant, plus multiple scholarships from FCT Portugal and EU programs. His research has been supported by industry partnerships and defense collaborations. Service: Active in academic service as a thesis evaluator, member of student mental health committees, and representative in university governance bodies. Engaged in curriculum development and embedded systems program revisions.

Betty Liمشاهده پروفایل

استاد مدعو

• Biomaterials
• 3D Bioprinting
• Microphysiological Systems
• +۷ مورد دیگر

Dr. Betty Li is an Adjunct Professor in the Department of Systems and Computer Engineering at Carleton University and a researcher at the Human Health Therapeutics Research Center. She holds a Ph.D. in Biomedical Engineering from the University of Western Ontario (2018), with prior degrees from Western Ontario (Master of Engineering Science, 2013) and the University of Toronto (Bachelor of Applied Science in Nanoengineering, 2011). Her research focuses on developing microphysiological systems, such as organ-on-chip models, using stem cells, 3D bioprinting, and biomaterials to advance preclinical drug discovery. Key research areas include biomaterials, biomechanics, and microfluidic design. Her recent publications (2023–2025) emphasize 6G networks, non-terrestrial networks (NTN), and AI-driven solutions for wireless communication challenges. She explores topics like federated learning in NTN, hemispherical antenna arrays for HAPS, and energy-efficient satellite IoT systems. Her work bridges biomedical engineering and telecommunications, addressing challenges in both fields. No scientific awards are explicitly mentioned in the text. She advises no listed students but collaborates on projects involving robotic aerial base stations and spectral efficiency optimization. Her lab work integrates interdisciplinary approaches for in vitro tissue modeling and sustainable network architectures.

• Wireless Communications
• Stochastic Geometry
• Green Communications
• +۶ مورد دیگر

Sebastian Szyszkowicz is an Adjunct Professor in the Faculty of Engineering and Design at Carleton University. He holds a Ph.D. from Carleton University. His research focuses on wireless communications, stochastic geometry, and green communications. Key areas include outdoor urban channel modeling, drone-based communications, mmWave networks, and interference analysis. He has contributed to energy-efficient cellular network design through cell switch-off algorithms and automated base station placement strategies. His work leverages computational geometry and open urban maps for realistic network simulations. Research Interests: Wireless Communications: Channel modeling, mmWave networks, interference analysis Stochastic Geometry: Base station/user location modeling Green Communications: Energy-saving cell switch-off techniques Drone Communications: Urban coverage optimization Computational Urban Modeling: Utilizing open spatial data His publications emphasize network optimization in dense urban environments, including drone-base-station placement and mmWave small cell planning. He explores spatial heterogeneity in user distribution and energy-efficient cellular topologies.

Damian Vicinoمشاهده پروفایل

عضو هیئت علمی

• Discrete-Event Modeling and Simulation
• Uncertainty Theory
• Peer-to-peer Networks
• +۳ مورد دیگر

Dr. Damian Vicino is an Adjunct Research Professor at the Faculty of Engineering and Design , Carleton University. He holds a Ph.D. from both Carleton University (Canada) and Université de Nice-Sophia Antipolis (France). With over 20 years of industry experience, he has held senior roles at companies like Alexa Communications and AWS, specializing in C++ SDK development and distributed systems. Affiliations: Carleton University (2023–present), Industry roles (1999–2023) Education: Ph.D. in Computer Science (Cotutelle), Carleton University & Université de Nice-Sophia Antipolis (France) Research Interests His work focuses on Discrete-Event Modeling and Simulation , Uncertainty Theory , Peer-to-peer Networks , and Distributed Systems . He has pioneered advancements in time representation for simulation frameworks and explored SDN's impact on P2P systems. Research Trends His articles emphasize precision in simulation models , uncertainty quantification , and hybrid network protocols . Recent work integrates SDN for reactive routing optimizations and evaluates advanced data types for temporal modeling. Awards & Grants No explicit awards or grants are listed, though his industry collaborations suggest applied research funding. Labs & Teams Not explicitly mentioned, but his work aligns with simulation and distributed systems research groups at Carleton.

R. Bruce Wallaceمشاهده پروفایل

استاد مدعو

• Aging in Place Technology
• Smart Homes
• Sensors and Data Analytics
• +۴ مورد دیگر

R. Bruce Wallace is an Adjunct Professor at Carleton University's Faculty of Engineering and Design and an Adjunct Research Professor affiliated with Bruyère Health Research Institute. He serves as Executive Director of the AGEWELL National Innovation Hub (SAM3), focusing on sensors and analytics for aging in place. His expertise spans signal processing, data analytics, and healthcare technology. Dr. Wallace holds a Ph.D. from Carleton University, an M.Eng. from Carleton, and a B.E.Sc. from the University of Western Ontario, alongside a P.Eng. license and Senior Member status in IEEE. His research focuses on innovative smart home technologies to support aging populations, including sensor-based monitoring systems, cognitive health assessment, and assistive vehicle technologies. Key projects include the SAM3 initiative, which integrates multi-disciplinary teams to develop solutions for independent living. He co-authored the book *Supportive Smart Homes: Their Role in Aging in Place* and holds 24 patents in telecommunications and healthcare systems. Dr. Wallace’s work emphasizes collaboration with industry, clinical partners, and end-users to bridge technology development and real-world applications. His speaking engagements span academic, industry, and public audiences, advocating for age-friendly technology adoption. His research has been published in journals like IEEE Transactions on Instrumentation and Measurement, with a focus on sensor technologies, health monitoring, and driver safety for older adults. Current affiliations include leadership roles at SAM3, Bruyère Research, and Carleton’s ARISE Lab, where he oversees projects such as the SAM3 Smart Apartment and Virage Simulator. His contributions address ethical, legal, and policy challenges in smart home technologies, ensuring user-centered design and accessibility.

• Software Testing
• Real-Time Systems
• Embedded Software
• +۳ مورد دیگر

Wafa Hasanain is a Contract Instructor at Carleton University's School of Computer Science (SCE), within the Faculty of Engineering and Design. She holds a Ph.D. and focuses on software testing methodologies, real-time embedded systems, and automated testing frameworks. Her research emphasizes clone detection in industrial test code, state-based online testing, and software verification using tools like SPIN Model Checker and RTEdge frameworks. Education: Ph.D. (exact discipline unspecified) Research Interests: Hasanain’s work bridges software engineering and embedded systems. She explores automation in testing complex systems, leveraging clone detection to improve test code maintainability and applying formal verification techniques to real-time software. Her methodologies aim to enhance software reliability through systematic analysis and tool-driven validation. Article Trends: Her publications (2013–2020) concentrate on testing challenges in real-time embedded systems and industrial test code. Key themes include state-based approaches, clone analysis for code maintenance, and integration of model checkers like SPIN with frameworks like RTEdge. These contributions address scalability and accuracy in automated testing environments. Awards & Grants: No scientific awards or grants explicitly mentioned in the text. Advising & Labs: No formal advisees or labs listed, though her research may involve collaborations with teams focused on embedded systems testing.

Rami Sabouniمشاهده پروفایل

مدرس

• Gamification in Education
• Project Management in IT
• Cybersecurity Applications
• +۳ مورد دیگر

Dr. Rami Sabouni is a Contract Instructor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. He holds a PhD in Systems and Computer Engineering from Carleton University, along with MSc, MEng, and BSc degrees. His expertise spans teaching programming languages, real-time systems, and project management. He has over 15 years of academic experience across Canada, the US, and the Middle East, including roles at UAE University and AlHosn University. Education: PhD in Systems and Computer Engineering, Carleton University (2017) MSc in Systems and Computer Engineering, Carleton University (2011) MEng in Computer Engineering, University of Detroit Mercy (2008) BSc in Medical Physics, UAE University (2006) Research Interests: Gamification in programming education, cybersecurity, public safety wireless applications, LTE networks optimization, and autonomous vehicle communication systems. His work emphasizes practical applications in real-time systems, web development, and project management. Research Contributions: His publications focus on LTE network optimization, DSRC for V2V communications, and adaptive coverage algorithms. He has supervised student projects in embedded systems and cybersecurity. Awards/Grants: None explicitly listed. Teaching & Advising: Taught courses in real-time systems, web development, and cybersecurity. Supervised M.Eng projects on public safety authentication and a 4th-year project on automated inventory systems. Managed teaching assistants and industrial projects. Labs/Teams: Involved in LTE network research at Carleton, including the 700 MHz LTE eNodeB installation for public safety applications.

• Wireless Communication
• Network Optimization
• 6G Technology
• +۳ مورد دیگر

Afsoon Alidad Shamsabadi is a Lecturer at the Department of Systems and Computer Engineering, Faculty of Engineering and Design, Carleton University. His work focuses on wireless communication systems, algorithmic network optimization, and emerging 6G technologies. Research Interests span three primary domains: Wireless network architectures (HAPS, vHetNets, hybrid satellite-terrestrial systems) AI-driven resource management (generative AI, reinforcement learning applications) Equity-focused telecommunications (digital divide mitigation via satellite networks) Current research trends emphasize 6G network planning , low-latency communication , and energy-efficient protocols . No scientific awards or student lists are publicly available in this dataset.

Murat Kristalمشاهده پروفایل

استاد

• Operations Management
• Supply Chain Analytics
• Artificial Intelligence
• +۲ مورد دیگر

Murat Kristal is Professor of Operations Management and Information Systems at York University's Schulich School of Business, where he founded Canada's first Master of Business Analytics (MBAN) and Master of Management in AI (MMAI) programs. Research integrates operations strategy, supply chain dynamics, and applied analytics, with recent emphasis on healthcare and financial sector efficiency. Publications demonstrate methodological expertise in data envelopment analysis (DEA) and process optimization, particularly examining technological investments in banking and hospital viability. Earlier work established frameworks for mass customization capability and supply chain integration, contributing to contingency-based views of organizational design. As Special Advisor for AI & Business Analytics, Kristal connects industry challenges with analytical solutions. Professional expertise includes translating operational complexity into computational models, evidenced by research on adaptive control systems for supply networks and dynamic staffing approaches.

Zadia Codabuxمشاهده پروفایل

دانشیار

• Empirical Software Engineering
• Technical Debt
• Software Metrics
• +۸ مورد دیگر

Zadia Codabux is an Associate Professor at the University of Saskatchewan , Department of Computer Science. Her work focuses on Empirical Software Engineering , Technical Debt , and Software Security . Education: Ph.D. in Computer Science, Mississippi State University (USA) M.S. in Computer Science, University of Mauritius Her research explores technical debt in code reviews, predictive analytics for vulnerability detection, and the intersection of software metrics with security. Recent work includes serverless smell detection tools and studies on LLM impacts on programming platforms. Key publications span conferences like FSE , ESEM , and MSR , with trends showing increasing focus on Android security , code review civility , and developer support systems . Scientific Awards: NSERC Discovery Grant (PI 2021-2026, 2026-2027) IEEE Computer Society TCSE Distinguished Paper Award (SANER'22) SSHRC Insight Grant (collaborator 2024-2025) She supervises PhD and MSc students in software quality research and contributes to equity initiatives like CRA-WP and Grace Hopper Celebration.

Mrigank Rochanمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Dr. Mrigank Rochan is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan. Previously, he served as a Senior Researcher in Huawei Noah's Ark Lab's Autonomous Driving Perception team. He holds a Ph.D. and M.Sc. from the University of Manitoba (2020 and 2016) and a B.Tech. from Amrita University, India (2011). His research focuses on Deep Learning applications in Computer Vision, including video highlight detection, domain adaptation, and autonomous systems perception. Notable awards include the 2020 CIPPRS John Barron Doctoral Dissertation Award and the 2024 Google PaliGemma Academic Program Award. Education Ph.D. in Computer Science, University of Manitoba, Canada (2020) M.Sc. in Computer Science, University of Manitoba, Canada (2016) B.Tech. in Computer Science and Engineering, Amrita Vishwa Vidyapeetham University, India (2011) Research Interests His work emphasizes unsupervised learning techniques, domain adaptation for autonomous systems, and multimodal learning (e.g., audio-visual fusion). Recent projects include improving LiDAR-based 3D object detection and developing adaptive crowd counting models. He explores video summarization methods and cross-modal networks for referring segmentation. Grants & Awards NSERC Discovery Grant (2024) Google PaliGemma Academic Program Award (2024) CIPPRS John Barron Doctoral Dissertation Award (2020) Advisees & Teaching He teaches CMPT 489/828: Deep Learning and CMPT 318: Data Analytics . While no named students are listed, his publications suggest active collaboration with graduate researchers like Zahidul Islam, Sujoy Paul, and Linwei Ye. Labs & Collaborations Prior work at Huawei's Autonomous Driving Perception team informs his current focus on real-world perception challenges. His lab at USask likely addresses interdisciplinary AI applications in vision systems.