جست‌وجوی استاد و پژوهشگر

Donghoon Kimمشاهده پروفایل

استادیار

• Autonomous Systems Design
• Fault-Tolerant Control
• Health Monitoring of Autonomous Systems
• +۳ مورد دیگر

Dr. Donghoon Kim is an Assistant Professor at the University of Cincinnati's Department of Aerospace Engineering and Engineering Mechanics, part of the College of Engineering and Applied Science. He leads the Intelligent Autonomous Systems Research Laboratory (IASSRL), focusing on autonomous systems, fault-tolerant control, and celestial mechanics. Prior to academia, he worked at LG Electronics as a Senior Research Engineer, developing service robotic platforms. His professional affiliations include senior membership in AIAA and IEEE, and roles in technical committees for Astrodynamics and Robotics. Education: PhD in Aerospace Engineering (Texas A&M University, 2013) MS and BS in Aerospace & Mechanical Engineering (Korea Aerospace University, 2010 and 2008) Research Interests: Dr. Kim's work centers on intelligent autonomous systems , including robotic control, spacecraft dynamics, and machine learning integration. He emphasizes fault-tolerant control systems and health monitoring for autonomous platforms. His projects span celestial mechanics applications and deep learning-driven solutions for aerospace challenges. Grants & Awards: Recipient of the Neil Wandmacher Teaching Award (2022) $2.3M Air Force Research Lab grant for space robotics technologies (2024) $569K DoD grant for multi-agent trajectory planning (2024) Labs & Teams: Directs the IASSRL , collaborating on projects like the LEOPARDSAT-1 orbital platform and IntroSat educational spacecraft. Engages in industry partnerships with companies like Gimbal Innovations and CincyTech .

Anna Granaمشاهده پروفایل

دانشیار

• Road Safety
• Transportation Engineering
• Road Infrastructure Design
• +۵ مورد دیگر

Anna Grana is an Associate Professor in the Department of Roads Railways Airports at the University of Palermo's College of Engineering. She specializes in road infrastructure engineering with a focus on road safety, traffic operations, and sustainable transportation systems. Her educational background includes a Classical high school diploma from Umberto I classical high school in Palermo (1991), a Degree in Civil Engineering with honors (1995/1996), a PhD in Road Infrastructure Engineering (2002), and a Specialization diploma in Public Management (1999). Dr. Grana's research focuses on the analysis of risk associated with road traffic, functional design of road geometry (particularly non-signalized intersections and roundabouts), and environmental sustainability of transport infrastructures. Her work covers preventive analysis of road safety, safety and reliability of transport infrastructure, and crash analysis and modeling. Over the past decade, her research has evolved toward smart mobility solutions, with increasing focus on cooperative driving systems and the integration of connected and automated vehicles into existing infrastructure. Her recent publications demonstrate strong engagement with intersection design, traffic simulation, and resilience assessment in urban environments. Editor-in-chief for the Journal of Sustainable Development (since 2011) Associate editor for the International Journal of Statistics and Probability (since 2011) Member of SIIV (Italian Society of Road Railway and Airport Infrastructures) since 2003 Elected member of SIIV Board since 2010, serving as treasurer since 2013 Dr. Grana has been actively involved in teaching, serving as a member of PhD committees for Road Railway and Airport Engineering, Architecture of Systems for Mobility, and Civil and Environmental Engineering programs. She has supervised numerous final year students and has been instrumental in developing postgraduate courses focused on sustainable transport infrastructure. Her research has been supported by multiple National Relevant Research Programs (PRIN) and collaborations with the Municipality of Palermo, focusing on urban road safety and traffic management solutions. She has led research projects on non-standard roundabouts and urban road intersections, contributing significantly to the field of transportation engineering.

Markos Anastasopoulosمشاهده پروفایل

دانشیار

• Optical Communications
• Wireless Networks
• Mobile Computing
• +۳ مورد دیگر

Markos Anastasopoulos is Associate Professor at the National and Kapodistrian University of Athens, specializing in optical/wireless networks and mobile computing. His research focuses on 5G/6G network convergence, intent-based management, and AI-driven optimization for telecommunications. Recent publications address THz-optical integration, federated learning in transport networks, and semantic-aware radio systems. Applied work includes intelligent asset management for railways and techno-economic analyses of network deployments. Recognized with best dissertation and best paper awards, his research bridges theoretical networking with industrial applications in transportation and cloud infrastructure.

Dong Chenمشاهده پروفایل

دانشیار

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Embedded AI
• +۵ مورد دیگر

Dong Chen is an Associate Professor in the Department of Computer Science at the Colorado School of Mines. His research focuses on building data-driven experimental systems in Cyber-Physical Systems (CPS), IoT, Embedded AI, and Embodied AI, with applications in smart devices, homes, cities, and renewable energy systems. He leads the Next Generation Cyber-Physical Systems Laboratory (CPSLab), emphasizing open-source systems and datasets. Dr. Chen holds PhDs in Electrical and Computer Engineering (2018, University of Massachusetts Amherst) and Computer Science (2014, Northeastern University). His work addresses security, privacy, sustainability, and efficiency in smart environments. Notable contributions include SolarFinder, SolarTrader, PrivacyGuard, and VoiceAttack, which tackle challenges in IoT privacy, energy trading, and adversarial attacks. He received the NSF CAREER Award (2023) and is a member of Sigma Xi, ACM, AAAI, and IEEE. His research spans system design, AI applications, and cross-cutting domains like solar energy modeling and edge computing. Current projects include AgileDART (edge stream processing) and SolarDetector (satellite-based PV array identification). Advising and collaborations: Dr. Chen seeks PhD and undergraduate students with strong CS/EE backgrounds. His lab focuses on CPS/IoT security, energy systems, and AI-driven solutions. He has published extensively on topics ranging from smart grid optimization to adversarial machine learning.

Frank Woodمشاهده پروفایل

دانشیار

• Probabilistic Programming
• Deep Generative Models
• Reinforcement Learning
• +۴ مورد دیگر

Frank Wood is an Associate Professor of Computer Science at the University of British Columbia and a Canada CIFAR AI Chair at AMII. He directs the Pacific Laboratory for Artificial Intelligence (PLAI) research group and co-founded Inverted AI, a spin-out focused on advanced simulation for autonomous vehicles. His research focuses on probabilistic programming, deep generative models, and reinforcement learning, with applications in autonomous driving, robotics, and vision. Wood teaches courses such as Machine Learning and Data Mining (CPSC 340) and Topics in Artificial Intelligence (CPSC 532W). He has been on academic leave from January to December 2025. His work integrates theoretical advancements with practical applications, including projects like PLAICraft, a large-scale embodied AI dataset. Key awards include the ICML Best Paper Honourable Mention and contributions to probabilistic programming systems like Anglican. His research group collaborates on tools such as TorchDriveEnv for autonomous driving benchmarking and explores cutting-edge methods in diffusion models and continual learning.

• Cybersecurity
• Network Security
• System Security
• +۳ مورد دیگر

Almuthanna A. Alageel is an Honorary Research Associate at Imperial College London's Department of Computing (Faculty of Engineering). He holds a PhD in cybersecurity (2018–2024) under Dr. Sergio Maffeis' supervision, alongside an MSc in Computer Science (University of Colorado, Denver, 2012–2014) and a BSc in Computer Engineering (King Saud University, 2004–2009). Affiliations: KACST Computer Research Institute (CRI)-Security Group (2009), National Center for Artificial Intelligence (NCAI, 2015), National Center for Cybersecurity (C4C, 2016). Certifications: CISSP®, CISM®, CRISC®, CISA®, PMP®, CEH®, TOGAF® 9, COBIT® 5, ITIL® 4. His research focuses on network and system security , with emphasis on malware analysis, adversarial machine learning, and APT detection . Techniques include contextual summaries for C2 channel identification and holistic domain-based threat detection. He actively contributes to peer review for journals like International Journal of Information Security and conferences like Safe and Trustworthy AI (STAI@ICLP 2023) . Publications emphasize APT lifecycle analysis, intrusion detection systems, and cloud security optimizations. Current work explores behavioral analytics for advanced threats and integration of machine learning into security frameworks. Advising/Grants: Supervised research on malware C2 detection (e.g., EarlyCrow project). Collaborates with Imperial's cybersecurity group and industry partners.

• Wireless Communication
• Network Optimization
• Machine Learning
• +۳ مورد دیگر

Athanasios Gkelias is a Research Fellow in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. His research focuses on advanced wireless communication systems, network optimization, machine learning applications, and quantum computing methodologies. He contributes to interdisciplinary projects involving IoT coalitions, adversarial signal detection, and cognitive behavior analysis. Key research areas include: (1) Network resource management in Software-Defined Networks (SDN), (2) Localization systems for indoor environments, (3) 3D reconstruction using photometric stereo and origami-based modeling, and (4) distributed optimization frameworks for ad-hoc networks. His recent work explores quantum approaches to combinatorial optimization and self-supervised learning methods. Publications span 20+ years with notable contributions in network coding, vehicular ad-hoc networks (VANETs), and cross-layer design for wireless mesh networks. His work emphasizes practical implementations through frameworks like iVisher for caller ID spoofing detection and cooperative MAC protocols for multi-antenna systems. No scientific awards are listed in the provided information. His research has been applied in healthcare technology through emotion understanding systems for Alzheimer’s patients and in battlefield communication through IoBT coalitions. Active participation in Imperial College's Engineering faculty reflects his commitment to advancing telecommunications and network science.

Katie Plantمشاهده پروفایل

دانشیار

• Human Factors
• Ergonomics
• Transportation Safety
• +۴ مورد دیگر

Dr. Katie Plant is an Associate Professor at the University of Southampton, affiliated with the Centre for Defence and Security Research and the Transportation Research Group. Her research focuses on human factors in complex systems, including autonomous vehicles, transportation safety, and organizational adaptation. She leads projects such as REASON (resilient autonomous agents) and GEM (gender equitable micro-mobility guidelines). Current supervision includes PhD students in defense mobility and environmental engineering. Active collaborations involve the EPSRC/Mod Doctoral Training Centre and industry partners like the Chartered Institute of Logistics & Transport. Her work spans aviation safety, driver-cyclist interactions, and pandemic-era organizational resilience. She contributes to interdisciplinary initiatives like the STARS global road safety group. Research methods include simulation design (e.g., SUMO-Unreal Engine integration) and thematic analysis of human-system interactions. Notable contributions include advancing automation handover protocols, urban mobility equity frameworks, and human-centric design for emergency systems. Her projects address both technical and socio-organizational challenges in critical infrastructure systems.

Jairo Garciaمشاهده پروفایل

مدرس

• Climate Change
• Sustainable Urban Development
• Environmental Health
• +۷ مورد دیگر

Jairo Garcia is a Full-Time Lecturer in the School of City & Regional Planning at the Georgia Institute of Technology, part of the College of Design. His expertise spans sustainable urban development, climate change mitigation, and environmental health resilience. He holds an engineering degree, MSc in Management of Information Technologies (Syracuse University), MSc in Sustainability Management (Columbia University), and a Doctoral degree in Educational Technology and Sustainability (Pepperdine University). His research focuses on spatial data analysis for ecological assessments, climate vulnerability identification, and public health resilience. Notable projects include developing Atlanta’s first Climate Action Plan and leading the City’s 100 Resilient Cities application, awarded in 2016. He represented Atlanta at the COP23 Climate Summit and contributed to the IPCC’s Special Report on Climate Change. Dr. Garcia has received prestigious awards, including the EPA’s 2017 Individual Climate Leadership Award and the 2023 Excellence in Climate Leadership Award from the American Public Health Association. His academic roles include teaching courses on sustainable urban development, global cities, and climate policies at Georgia Tech, alongside prior affiliations with Columbia University’s Earth Institute and UCLA. His work bridges academia and practice, emphasizing policy-driven solutions for climate adaptation and sustainability. Current research explores public health co-benefits of climate policies and innovative urban transportation systems.

• Artificial Intelligence
• Machine Vision
• Distributed Computing
• +۱۱ مورد دیگر

Dr. Dan Ionescu is a Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, Department of Electrical and Computer Engineering. He has been affiliated with the university since 1985, contributing extensively to teaching and research. His career includes visiting professorships at École Nationale Supérieure de Télécommunications (Paris) and Universitat Politècnica de Catalunya (Barcelona). He founded the Machine Intelligence Research Laboratory (1988) and the Network Computing and Control Research Laboratory (NCCT, 1999), which he currently directs. His research spans Artificial Intelligence, Machine Vision, Distributed Computing, Network Control, and Formal Methods. Notable contributions include methodologies in Expert Systems, Image Processing, Temporal Logic, and Network Management. His work has received industrial and governmental grants from CITO, Nortel, NSERC, and others. Recent research focuses on Web-based collaborative platforms (e.g., UC-IC, Watch-Together), Autonomic Computing, and AI applications in gesture control and 3D IR camera systems. Dr. Ionescu’s technical leadership includes pioneering the first distributed network management platform with industry partners and designing the NCIT*net 2 network architecture. His current interests include AI-driven solutions for cybersecurity, medical imaging, and IoT-enabled disaster response systems. He has advised numerous projects in AI ethics, quantum computing, and real-time control systems. His research trends emphasize interdisciplinary innovation, combining AI with healthcare (e.g., MRI analysis, deepfake detection), cybersecurity (GAN-based intrusion detection), and IoT (Salv AIoT platform). Collaborations with IBM CAS and Diatem Networks highlight his industry-academia integration. His legacy includes over 40 years of impactful contributions to computing and engineering education.

Leila Hajibabaiمشاهده پروفایل

دانشیار

• Operations Research
• Transportation Electrification
• Humanitarian Logistics
• +۲ مورد دیگر

Leila Hajibabai is Associate Professor at NC State's Fitts Department of Industrial and Systems Engineering. Her research applies AI and optimization to sustainable transportation, including electric vehicle infrastructure and incident response systems. Education includes a Ph.D. in Civil Engineering from University of Illinois Urbana-Champaign (2014). She holds leadership roles in TRB and INFORMS committees.

Richard Romanoمشاهده پروفایل

استاد مهمان

• Driving Simulation
• Autonomous Vehicles
• Human-Machine Interaction
• +۱ مورد دیگر

Richard Romano is Visiting Professor at the University of Leeds' Institute for Transport Studies and Staff Researcher at General Motors. His interdisciplinary work bridges engineering and behavioral science to optimize human-automation interaction. Research develops simulation frameworks for testing autonomous vehicle systems, with focus on pedestrian interaction models and motion cueing algorithms. Current projects analyze how drivers evaluate automated driving styles and manage control transitions. Over 143 publications advance real-time simulation methodologies for vehicle dynamics. He directs projects on human-centered AV design funded by EPSRC and leads doctoral training in human factors engineering.

Zhi (Aaron) Chengمشاهده پروفایل

استادیار

• Artificial Intelligence
• Digital Business Strategy
• Economics of Digitization
• +۶ مورد دیگر

Dr. Zhi (Aaron) Cheng is an Assistant Professor of Information Systems and Innovation in the Department of Management at the London School of Economics (LSE). His research focuses on the economics of digitization and AI, analyzing how digital innovation redistributes resources like time, labor, and capital. He holds a PhD from Temple University and an MiM from Renmin University of China, with prior experience at IBM. Research interests include AI ethics, platform strategy, healthcare IS, and future of work. His work combines causal inference methods with observational studies to explore societal impacts of technology. Notable publications appear in Management Science, Information Systems Research, and Journal of Management Information Systems. Teaching: Courses include Managing AI (MG4J8), Research Design (MY401), and Social Computing (MG486) Awards: Best Reviewer (ICIS 2019), AIS Distinguished Member (2024), Multiple LSE Teaching Awards Service: Editorial boards of ISR and JAIS, Co-Chair of LSE's EDI Committee External roles: External Examiner for Oxford's AI for Business program His research demonstrates significant societal impact - e.g., analyzing Pokémon Go's mental health effects and gig economy labor dynamics. Ongoing projects explore privacy regulation's impact on consumer behavior and government-led e-commerce initiatives.

• Cryptography
• Computer Security
• Privacy
• +۳ مورد دیگر

Gene Tsudik is the Peter & Lois Griffin Professor at the University of California, Irvine (UCI), affiliated with the School of Information and Computer Sciences. His research focuses on cryptography, computer security, privacy, and applied cryptographic protocols. He has authored over 300 publications in top-tier venues, addressing challenges in secure communication, key management, privacy-preserving technologies, and network security. Key research areas include group key agreement, secure data possession, privacy-preserving protocols, and mobile agent systems. His work has influenced foundational aspects of computational grid security, cloud storage integrity, and post-quantum cryptography. Collaborations include prominent institutions like KAIST, University of Surrey, and NYIT. His publications span topics from theoretical cryptographic proofs to practical system implementations, reflecting a balance between academic rigor and real-world applicability.

Andreas Hegyiمشاهده پروفایل

استادیار

• Traffic Flow Modelling
• Traffic Control Systems
• Connected and Automated Vehicles
• +۴ مورد دیگر

Dr. Andreas Hegyi is an Assistant Professor at TU Delft's Department of Transport & Planning, specializing in traffic flow modeling, control systems, and connected/automated vehicles. He holds a PhD from TU Delft (2004) and was a postdoctoral researcher at Ghent University. His research focuses on improving traffic efficiency through speed control and managing mixed environments of automated and manual vehicles. He teaches courses like Road Traffic Management and advises MSc/PhD students. He has authored over 100 publications and serves as an editor for IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C. His recent work explores cyclist priority systems using connected vehicles and reinforcement learning in traffic control. Education: PhD in Traffic Engineering (TU Delft, 2004), Postdoc at Ghent University. Research Interests: Traffic flow modeling, cooperative vehicle-infrastructure systems, data-driven traffic analysis. Awards & Roles: Program Chair of IEEE-ITSC 2013, General Chair of TRISTAN 2016, Editorial Board memberships.