جست‌وجوی استاد و پژوهشگر

Tony Whiteمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Swarm Intelligence
• Genetic Algorithms
• +۴ مورد دیگر

Dr. Tony White is an Adjunct Professor in the School of Computer Science at Carleton University. He holds a Ph.D. from Carleton (2000), an M.A. from Cambridge, and a B.A. in Theoretical Physics. His research focuses on complex adaptive systems, including influence measurement in social networks and swarm intelligence applications. He leads the Complex Adaptive Systems Group and has extensive industry experience, previously working at Nortel. Education: Bachelor of Theoretical Physics, Cambridge University (1981) Master of Physics, Cambridge University (1981) Master of Computer Science, Carleton University (1993) Ph.D. in Electrical Engineering, Carleton University (2000) Research Interests: Artificial Intelligence Swarm Intelligence Genetic Algorithms Neural Networks Recommender Systems Search Engines His work explores influence dynamics in social networks, adaptive information systems, and evolutionary computation. Recent publications address neural network topologies, distributed control strategies, and embedded systems administration. He has also contributed to trust models, referral networks, and traffic signal optimization. Dr. White’s research bridges theoretical computer science and practical applications in robotics, network management, and autonomous systems. Labs/Teams: Leads the Complex Adaptive Systems Group, focusing on interdisciplinary approaches to complex systems and swarm intelligence.

Munir Nazzalمشاهده پروفایل

استاد

• Transportation Engineering
• Civil Engineering
• Pavement Engineering
• +۴ مورد دیگر

Dr. Munir Nazzal is a Professor of Civil Engineering and Director of the Center for Smart, Sustainable & Resilient Infrastructure (CSSRI) at the University of Cincinnati. His research focuses on sustainable transportation infrastructure, pavement engineering, and innovative materials technology. He leads over $13M in grants from federal and state agencies, specializing in asphalt mixtures, pavement performance, and smart infrastructure. He serves as Principal Investigator (PI) on numerous projects, including optimizing maintenance equipment tracking, evaluating micro-surfacing bond strength, and developing AI-driven pothole detection systems. Nazzal is an editor for the ASCE Journal of Materials in Civil Engineering and Buildings Journal, and a licensed professional engineer in Ohio and Louisiana. His work integrates emerging technologies like IoT and autonomous vehicles for infrastructure monitoring. Key contributions include field validation of robotic crack sealing, analysis of aramid fibers in asphalt, and lifecycle cost studies of winter pothole patching methods. His research emphasizes cost-effective, environmentally friendly solutions for local and state transportation systems. Recent grants include a $600,000 federal project for district highway maintenance research, and a $1.2M study on robotic crack sealing methods. He collaborates with industry partners like Honda on vehicle-based roadway data pilots. Nazzal's lab explores nanoscale asphalt properties, thermal expansion effects, and recycled material utilization in pavements.

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +۱۱ مورد دیگر

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

Maria K. Michaelمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Embedded Systems Security
• AI/ML Edge Intelligence
• +۵ مورد دیگر

Maria K. Michael is an Associate Professor at the Electrical and Computer Engineering Department (ECE), University of Cyprus, and a cofounding faculty member of the KIOS Center of Excellence. She leads the Center’s Education and Training activities and coordinates the MSc program in Intelligent Critical Infrastructure Systems, a collaboration between UCY, KIOS CoE, and Imperial College London. Her expertise spans dependability, security, and reliability in cyber-physical systems, embedded systems, and AI/ML optimization for edge intelligence. Education: BSc in Computer Science MSc in Computer Science Ph.D. in Engineering Sciences (Computer Engineering), Southern Illinois University, USA Research Focus: Hardware-enabled security, cyber-security in intelligent embedded systems, reliability of edge-based accelerators, and applications in smart grids, UAVs, robotics, and autonomous vehicles. Her work emphasizes safety-critical systems and resource-constrained environments. Grants & Team: Leads a 15-member research team (postdocs, PhD/MSc/BSc students). Funded by EU FP7, H2020, Horizon Europe, NSF, Intel Corp., and the Cyprus Research and Innovation Foundation. No scientific awards listed explicitly in provided text. Labs & Initiatives: Director of Education/Training at KIOS CoE; core contributor to the MSc program in Intelligent Critical Infrastructure Systems.

Andreas K Athienitisمشاهده پروفایل

استاد

• Solar Energy Engineering
• Energy Efficiency
• Building Simulation and Optimization
• +۶ مورد دیگر

Andreas K Athienitis is a Professor at Concordia University in the Department of Building, Civil, and Environmental Engineering. He serves as Director of the Centre for Zero Energy Building Studies and has held prestigious roles including NSERC/Hydro Québec Industrial Research Chair (2006-2024) and Scientific Director of two NSERC strategic networks. Education: Ph.D. in Mechanical Engineering (University of Waterloo, 1985), B.Sc. in Mechanical Engineering (University of New Brunswick, 1981) Honors: Fellow of the Canadian Academy of Engineering, ASHRAE, and IBPSA His research focuses on energy-efficient buildings, solar energy integration, and predictive control systems. Key projects include Canada’s first net-zero energy institutional building (Varennes Library) and innovative BIPV/T systems. He has developed internationally unique facilities like the Solar Simulator and Environmental Chamber. Recent publications emphasize energy flexibility, predictive control, and renewable integration. His work bridges theoretical modeling with experimental validation, targeting climate resilience and decarbonization. Scientific Awards: Concordia Research Award (2010) NSERC-ADRIQ Celebrate Partnerships Award (2012) Willis H. Carrier Best Paper Award (1991) Multiple Fellowships and Scholarships Grants: Over $30M as P.I., including $123M CFREF grant (2022-2023)

William Stewartمشاهده پروفایل

استادیار

• Multimodal Robotics
• Soft Robotics
• Biomimetic Robotics
• +۴ مورد دیگر

William Stewart is an Assistant Professor in the Department of Mechanical Engineering at Stony Brook University. He joined the university in 2022 and leads the Soft Flyers Group laboratory. His research focuses on multimodal robotics, particularly in developing robots that integrate principles from soft robotics, biology, and science fiction to enhance capabilities in challenging environments. He holds a Ph.D. in Aerospace Engineering from North Carolina State University (2018) and has postdoctoral experience at École Polytechnique Fédérale de Lausanne (2018–2022). Prof. Stewart's work emphasizes practical modeling, rigorous experimentation, and full vehicle validation. His research interests include eclectic robot design, energy-efficient perching mechanisms, bio-inspired systems, and resilient multi-modal drones. He actively reviews for journals such as Bioinspiration and Biomimetics, Robotics and Automation Letters, and Springer Nature Applied Sciences. His educational background includes degrees from North Carolina State University: a B.S. (2012), M.S. (2014), and Ph.D. (2018), all in Aerospace Engineering. His professional experience combines academic leadership with advanced robotics research, contributing to innovations in aerial, ground, and underwater robotics.

Mikael Eklundمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +۳ مورد دیگر

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

• Formal Verification and Control
• Safety-Critical Systems
• Machine Learning
• +۵ مورد دیگر

Dr. Yulong Gao is an Assistant Professor in the Department of Electrical and Electronic Engineering at Imperial College London, affiliated with the Control and Power Research Group. He holds a B.E. in Automation from Beijing Institute of Technology (2013), M.E. in Control Science & Engineering (2016), and a joint Ph.D. in Electrical Engineering from KTH Royal Institute of Technology and Nanyang Technological University (2021). He has held postdoctoral positions at Oxford University and KTH. His research focuses on formal verification and control, machine learning, and their applications to safety-critical systems, including autonomous systems and control synthesis under uncertainty. His work emphasizes robust control strategies, data-driven optimization, and formal methods to ensure safety in dynamic systems. Recent publications address challenges in autonomous vehicle motion planning, risk-aware Bayesian neural networks, and adaptive task planning using temporal logic. He has contributed to stochastic modeling, distributed MPC, and resilient control under cyber-physical threats. Research affiliations include the Control and Power Research Group at Imperial College London, leveraging interdisciplinary collaboration to advance theoretical and applied control systems research.

Joan Walkerمشاهده پروفایل

استاد

• Transportation Planning
• Discrete Choice Analysis
• Travel Behavior
• +۷ مورد دیگر

Joan Walker is the Department Chair and T.Y. and Margaret Lin Professor of Civil and Environmental Engineering at the University of California, Berkeley. She holds a Ph.D. in Transportation Systems from MIT (2001), an M.S. in Transportation from MIT (1994), and a B.S. in Civil Engineering from UC Berkeley (1991). Prior to UC Berkeley, she served as Director of Demand Modeling at Caliper Corporation and as Assistant Professor of Geography and Environment at Boston University (2004-2008). Walker’s research intersects behavioral modeling, discrete choice analysis, travel behavior, and transportation planning. Her work focuses on enhancing models for transportation decision-making by incorporating social influences, environmental attitudes, and lifestyle factors. She has led major projects on autonomous vehicles, pandemic mobility shifts, and sustainable transportation policy. Presidential Early Career Award for Scientists and Engineers (PECASE) National Science Foundation CAREER Award UC Berkeley Hellman Family Faculty Fund Best Paper Award, AGIFORS Scheduling & Strategic Planning Her students have received numerous accolades including the UCCONNECT Outstanding Student of the Year and Women’s Transportation Seminar Leadership Legacy Scholarships. Walker’s grants include NSF CAREER funding and UC Transportation Center projects. She co-directs the Center for Global Metropolitan Studies and has served as Acting Director of the Institute of Transportation Studies.

Dimitrios Zekkosمشاهده پروفایل

استاد

• Geotechnical Engineering
• Landslides
• Unmanned Aerial Vehicles (UAVs)
• +۷ مورد دیگر

Dimitrios Zekkos is a Professor of Civil and Environmental Engineering at the University of California, Berkeley, and serves as Vice Chair for Strategic Planning and Implementation. He is also Founder and CEO of ARGO-E LLC, focusing on geotechnical and geoenvironmental solutions. Ph.D., University of California, Berkeley (2005) M.S., Geoengineering, University of California, Berkeley (2002) Joint B.S./M.Eng Degree, University of Patras, Greece (2001) Zekkos specializes in infrastructure resilience, landslide analysis, earthquake engineering, and UAV/satellite-enabled geohazard reconnaissance. His work combines experimental, computational, and autonomous systems to model earth material response to static/dynamic loads. His recent publications emphasize landslide inventory statistics, gravelly soil liquefaction, MSW landfill behavior, and erosion dynamics in mountainous regions. Key themes include remote sensing integration, machine learning applications, and 3D modeling of geohazards. Outstanding Innovator Award (ISSMGE, 2015) ASCE Arthur Casagrande Professional Development Award (2012) ASCE Collingwood Prize ASCE Middlebrooks Award Zekkos leads the Center for Land-Surface Hazards (CLaSH) and has secured EPA grants for landfill methane mitigation. His research spans geotechnical, geoenvironmental, and earthquake engineering domains with a focus on autonomy-enabled data acquisition.

Fred Hadaeghمشاهده پروفایل

استاد پژوهشی

• Aerospace Engineering
• Autonomous Systems
• Vehicle Safety
• +۳ مورد دیگر

Fred Hadaegh is a Research Professor in the Department of Aerospace at the California Institute of Technology (Caltech), where he has been affiliated since 2023. He holds a B.S. (1975), M.S. (1976) from the University of Texas at Austin, and a Ph.D. (1984) from the University of Southern California. His research focuses on advancing aerospace systems, particularly in autonomous vehicle safety, robotics, and control systems. His notable work includes a recent publication exploring innovative safety protocols for autonomous systems. Though no specific grants or labs are detailed here, his academic contributions reflect a dedication to bridging theoretical and applied aspects of aerospace engineering.

Yale Z Wongمشاهده پروفایل

دانشیار

• Transport Policy
• Transport Planning
• Transport Operations and Management
• +۳ مورد دیگر

Dr Yale Z Wong is an Honorary Associate at the University of Sydney’s Institute of Transport and Logistics Studies (ITLS) and Principal at Dr Transportation Pty Ltd, a strategic advisory firm. He also serves as ANZ Market Lead at the Cities Forum. His academic and professional roles focus on transport policy, planning, and innovation, with expertise in Mobility as a Service (MaaS), governance, and institutional reform. Education: PhD from the University of Sydney (Usyd) and PhB(Hons) from the Australian National University (ANU). His research spans MaaS business models, public transport efficiency, and autonomous mobility adoption. He has won awards including the David Willis Prize (2018), ITLS Research Prize (2018), and ITS Young Professional Award (2019). Teaching includes the unit ITLS6103 Sustainable Transport Policy. His work bridges academia and industry, advising governments and private sectors on strategic transport initiatives. He frequently contributes to media discussions on public transport challenges, such as pandemic-related risks and urban mobility innovations.

Zhou Zhouمشاهده پروفایل

استادیار

• Neurotrauma Prevention
• Biomechanical Modeling
• Medical Imaging
• +۵ مورد دیگر

Zhou Zhou is an Assistant Professor (tenure track) in Neuronic Engineering at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center focusing on digital technologies for societal challenges. His research focuses on neurotrauma prevention, prediction, and protection through computational modeling, machine learning, and biomechanical validation. Dr. Zhou holds a PhD from KTH (2019) and completed postdoctoral training at Stanford University, specializing in sports safety and concussion prevention. His work is supported by VINNOVA, Swedish Research Council, and others. He received the 2025 Göran Gustafsson Prize for young researchers. Research interests include in silico modeling, fluid mechanics, and safety standardization for helmets. Zhou teaches courses such as Biomechanics and Neuronics (HL2035/CH213V) and leads labs in human and animal neurotrauma modeling. He seeks postdoctoral candidates for rat neurotrauma research. Education: PhD in Biomedical Engineering, KTH (2019); Postdoc at Stanford University (Sports Safety) Key Projects: InSilicoHealth ITN, helmet evaluation via virtual testing Labs/Teams: Neuronic Engineering Division, Digital Futures Collaboratory

Igo J.M. Besselinkمشاهده پروفایل

دانشیار

• Vehicle Dynamics
• Tire Behavior Modeling
• Battery Electric Vehicles
• +۳ مورد دیگر

Igo J.M. Besselink is an Associate Professor and Chair of Vehicle Dynamics in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on vehicle dynamics analysis, tire behavior modeling, battery electric vehicles, and vehicle control systems. He leads the Automotive Technology lab, emphasizing experimental validation of simulation models to enhance transport safety and efficiency. Academically, he holds an MSc from Delft University of Technology (TU Delft, 1990) and a PhD from TU Delft (2000). He worked at Fokker Aircraft (landing gear dynamics) and TNO Automotive before joining TU/e in 2002 as a part-time lecturer, transitioning to full-time roles as Assistant Professor (2008) and Associate Professor (2016). Research interests include dynamics of commercial vehicles, autonomous operation in confined areas, and sustainable transportation. He has supervised 6 PhD and over 80 Master students, authored/co-authored over 50 publications, and serves on the Editorial Board of Vehicle System Dynamics . Recent work emphasizes neural network-based vehicle behavior estimation, cooperative platoon control, and criticality measures for automated vehicle testing. His lab develops test rigs and prototypes to bridge simulation and real-world performance.

Pedro U. Limaمشاهده پروفایل

استاد

• Robotics
• Multi-Robot Systems
• Autonomous Systems
• +۴ مورد دیگر

Pedro U. Lima is a Full Professor at Instituto Superior Técnico (IST), University of Lisbon, and President of the Institute for Systems and Robotics (ISR/IST), coordinating the Intelligent Robots and Systems group (IRSg). He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994). His research focuses on intelligent control systems, multi-robot coordination, and human-robot interaction, with contributions to robotics competitions like RoboCup and initiatives like the European Robotics League (E.R.L.). Lima has served as Vice President of the RoboCup Federation, Trustee of IEEE Portugal RAS Chapter, and Portuguese National Delegate to the European Space Agency’s Human Spaceflight Program Board. He led the Cátedra de Excelencia sabbatical at UC3M (2010), contributing decision-theoretic approaches to human-robot interaction. His work integrates robotics with societal impact, including outreach through the Pavilhão do Conhecimento and media appearances. He coordinates large projects like euROBIN (EU Horizon Europe) and CRAI (Portugal’s PRR), advancing robotics in domains like autonomous delivery and social robotics.