جست‌وجوی استاد و پژوهشگر

• Physics-Informed Machine Learning
• Structural Health Monitoring
• Computer Vision Applications
• +۵ مورد دیگر

Zhilu Lai is an Assistant Professor at The Hong Kong University of Science and Technology (Guangzhou). He previously worked as a Postdoctoral Researcher at ETH Zurich's Chair of Structural Mechanics and Monitoring (2018-2020) and as a Senior Assistant with the Dynamic Mobile Sensing Platform team at the Singapore-ETH Centre (2020-2022). His research bridges physics-based modeling and machine learning. Research Interests Physics-informed machine learning for dynamical systems Computer vision in structural monitoring Variational inference with physical constraints Hybrid frameworks for structural health monitoring (SHM) Energy-preserving neural architectures Applications in bridge monitoring and wind turbine dynamics Scientific Contributions Developed symplectic encoder frameworks for nonlinear dynamics modeling Proposed physics-guided Deep Markov Models (PgDMM) for hysteretic systems Integrated neural ODEs with physics-based eigenmodes for high-dimensional SHM Created robust algorithms for bridge weigh-in-motion and influence surface identification

• Sustainable Transport Systems
• Energy Economics
• Environmental Economics
• +۳ مورد دیگر

Dr. Truong Truong is an Honorary Professor of Sustainable Transport Systems at the University of Sydney’s Institute of Transport and Logistics Studies. He holds degrees in electrical engineering, economics, law, and a PhD in economics. His career spans academia and industry, including roles as a Visiting Associate Professor at Purdue University and a Marie Curie Fellow at the German Institute for Economic Research (DIW). He has also been a Fellow at the Hanse Wissenschaftskolleg Institute for Advanced Study in Germany. Research interests include sustainable transport systems, energy-economy-environment modeling, computable general equilibrium analysis, climate change mitigation strategies, and transport infrastructure policy. His work bridges theoretical economic frameworks with applied policy analysis, particularly in the context of global trade and environmental sustainability. Key achievements include contributions to congestion modeling, electricity sector technology substitution, and the integration of discrete choice models into spatial economic analysis. His publications span journals like Energy Economics and Journal of Transport Geography , alongside conference proceedings and book chapters. He has received prestigious fellowships, including the Marie Curie International Incoming Fellowship and a residency at the Hanse Wissenschaftskolleg. His research has informed policy debates on transport infrastructure, climate change adaptation, and sustainable energy systems.

Kajsa Weibullمشاهده پروفایل

پژوهشگر

• Traffic Psychology
• Human-Computer Interaction
• Cognitive Science
• +۱ مورد دیگر

Kajsa Weibull is a researcher at the Department of Computer and Information Science at Linköping University , affiliated with the Human-Centered Systems division. Her work focuses on driver behavior , emergency vehicle interactions , and intelligent transport systems . Her research emphasizes traffic psychology and human-computer interaction in road safety contexts, particularly through studies on driver gaze behavior, geofencing, and warning system design. Recent publications highlight cooperative ITS, emergency vehicle visibility, and lighting effects on traffic dynamics. Key trends in her work include collision avoidance , cognitive load analysis , and driver alert optimization , aligning with broader themes in transportation safety and human factors.

Monicque Loristمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Healthy Ageing
• Mental Fatigue
• +۶ مورد دیگر

Monicque Lorist is a Full Professor of Psychology at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Department of Experimental Psychology. She leads research on cognitive and neural dynamics underlying human performance variability, with a focus on healthy ageing, mental fatigue, and caffeine's cognitive effects. Her work combines behavioral measures and neuroimaging (EEG, fMRI) to study attention, memory, and reward processing. Education: Bachelor's and Master's in Psychology at University of Groningen PhD from University of Amsterdam Postdoctoral research at University of Groningen's Medical Physiology Department Research Interests: Healthy ageing, mental fatigue, attention mechanisms, caffeine effects, gender differences in stress response, sensory perception of food, and reward processing. She explores how brain dynamics adapt to cognitive demands across ages using multi-method approaches. Key Contributions: Pioneered studies on object-based attention variability, neural feedback during probabilistic learning, and the impact of mental fatigue on typewriting performance. Her work bridges cognitive neuroscience and applied research in ageing populations. Awards: Heymans Collaboration Fund (2018) ERI-HSF Travel Award (2012) Best Poster Awards (2012, 2011) Teaching & Supervision: Leads courses in Biopsychology, Cognitive Neuroscience, and EEG methods. Supervises BA, MA, and PhD students in Psychology and Neurosciences programs, including Research Master’s in BCN. Lab Affiliations: Member of the School for Behavioural and Cognitive Neurosciences (BCN), contributing to interdisciplinary projects on brain-cognition interactions.

• Applied Microeconomics
• Economics of Education
• Labour Economics
• +۱ مورد دیگر

Jeffrey Penney, PhD, is an Associate Professor in the Department of Economics at the University of Alberta, Faculty of Arts. His research focuses on Applied Microeconomics, Economics of Education, Labour Economics, and Law and Economics. He teaches courses such as ECON 378 (Law and Economics) and ECON 399 (Introductory Econometrics). Penney’s work explores topics like educational interventions, sentencing policies, and labor market dynamics. He is affiliated with the Laboratorio de Economía de la Educación and can be reached via penney1@ualberta.ca or dr.jeffrey.penney@gmail.com. His research interests emphasize empirical analysis of education systems, labor markets, and legal frameworks. Notable studies include investigations into teacher diversity impacts, scholarship efficacy, and migration effects on earnings. Penney’s methodologies often involve econometric analysis and experimental designs to evaluate policy outcomes. His recent work addresses issues like test score normalization challenges and the long-term effects of cramming on academic performance. Publications span topics from criminal sentencing distributions to the socioeconomic implications of educational programs, reflecting his interdisciplinary approach to microeconomic research. He maintains an active scholarly profile with ongoing contributions to peer-reviewed journals and policy-relevant studies.

• Marine Cybernetics
• Autonomous Systems
• Underwater Robotics
• +۵ مورد دیگر

Asgeir Johan Sørensen is a Professor of Marine Control Systems at NTNU's Department of Marine Technology, Faculty of Engineering. He also serves as an adjunct professor at UiT the Arctic University of Norway. His roles include Director of NTNU VISTA CAROS and former Director of NTNU AMOS (2013-2023). Sørensen holds an MSc (1988) and PhD (1993) in Marine Technology and Engineering Cybernetics from NTNU. He has extensive industry experience, co-founding companies like Marine Cybernetics AS, Eelume AS, and Zeabuz AS. His research focuses on marine robotics, autonomous systems, and hybrid power systems. He leads labs such as the Marine Cybernetics Laboratory (MC-Lab) and Applied Underwater Robotics Laboratory (AUR-Lab), emphasizing innovation and entrepreneurship. Over 280 publications and 153 students (41 PhDs) reflect his scholarly impact. Current projects include Oppdrag Mjøsa, aiming to map freshwater ecosystems via autonomous systems. Education: MSc (Marine Technology, NTNU, 1988), PhD (Engineering Cybernetics, NTNU, 1993) Research: Autonomous marine operations, underwater robotics, marine cybernetics, and zero-emission propulsion systems Labs: MC-Lab, AUR-Lab, NTNU AMOS His work bridges fundamental research with practical applications, driving advancements in marine autonomy and sustainability.

• High Performance Computing
• Cloud Computing
• Interconnection Networks
• +۳ مورد دیگر

Ernst Gunnar Gran is an Associate Professor at the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), where he leads the communication technology discipline. He also holds an adjunct research scientist position at Simula Research Laboratory, focusing on High Performance Computing (HPC) and cloud computing. Education: M.Sc. and Ph.D. in Computer Science from the University of Oslo (2007, 2014) Research: Intersections of HPC, interconnection networks, enterprise data centers, cloud computing, and data-intensive multi-cloud processing His recent work addresses real-time anomaly detection in IoT systems, traffic speed prediction for transportation networks, and adaptive routing in HPC environments. Articles span machine learning, network security, and distributed computing, with a focus on lightweight, self-adaptive algorithms. Current projects include leadership of the RCN-funded eX3 infrastructure project and contributions to the EU H2020 Melodic initiative. He has designed the NorNet Core testbed and holds patents in network reconfiguration and cloud architecture.

Stavros Kalafatisمشاهده پروفایل

استاد

• Datacenter System Optimization
• SDN/SDS/SDI Technologies
• Robotics in Manufacturing
• +۴ مورد دیگر

Stavros Kalafatis is an Associate Department Head and Professor of Practice in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. He holds an M.S.E.E. from the University of Arizona (1991) and a B.S.E.E. from the University of Surrey (1989). His research focuses on datacenter system optimization, SDI/SDN/SDS improvements for server efficiency, robotics in manufacturing, and sensor systems for agricultural applications. He has received multiple awards, including the Intel Achievement Award (2005) and repeated Intel Divisional Recognition Awards (1993, 2000–2010). His work spans cutting-edge technologies like precision agriculture robotics, network performance optimization, and machine learning-driven systems for hydroponics and wildfire prediction. Recent publications emphasize interdisciplinary solutions in agriculture, networking, and environmental modeling. Kalafatis is affiliated with the Computer Engineering and Systems Group at Texas A&M and contributes to advancing practical applications of engineering and computing. Education: M.S.E.E., University of Arizona, 1991 B.S.E.E., University of Surrey, 1989 Awards: Intel Achievement Award (Lynnfield Team), 2005 Intel Divisional Recognition Award (multiple years) His research trends highlight innovations in smart systems, including digital twins for manufacturing, AI-driven crop monitoring, and network optimization for data centers. While no grants or advising records are explicitly listed, his publications reflect active collaboration with industry and academic partners.

Jing Fengمشاهده پروفایل

استاد

• Human Factors Engineering
• Cognitive Psychology
• Driving Safety
• +۳ مورد دیگر

Jing Feng is a Professor of Psychology at North Carolina State University within the College of Humanities and Social Sciences, specializing in the Human Factors and Applied Cognition Program. Her research integrates cognitive theories of attention with practical applications in transportation safety and interface design. She holds a Ph.D. in Cognitive Psychology from the University of Toronto (2011), with postdoctoral training at Baycrest's Rotman Research Institute and the University of Toronto's Mechanical and Industrial Engineering department. Her multidisciplinary work focuses on aging drivers' visual attention, driver-automation interaction, and cognitive training. She directs the Applied Cognitive Psychology Lab, which develops tools like the SWAVF task to assess visuospatial attention during walking and evaluates robotic prosthesis user preferences. Her research also explores the impact of in-vehicle displays and non-safety messages on driver behavior. Key career milestones include the Earl Alluisi Award (2021) and APA Fellow designation (2023). She has mentored students in human factors engineering and cognitive science, with notable contributions to driver distraction mitigation and interface design for aging populations. Current projects investigate automated vehicle monitoring systems and virtual reality applications in spatial skill training. Notable Awards: 2023 APA Fellow, 2021 Earl Alluisi Award, 2023 Undergraduate Mentorship Award Labs: Applied Cognitive Psychology Lab (http://www.jfenglab.com/) Key Research Themes: Driver Safety, Human-Machine Interaction, Aging Cognition

Yu Fuمشاهده پروفایل

پژوهشگر

• Neuroscience
• Metabolic Regulation
• Feeding Behavior
• +۳ مورد دیگر

Yu Fu is a Group Leader at the Singapore Bioimaging Consortium (SBC), part of A*STAR. He holds a PhD in Neuroscience from Stony Brook University and conducted postdoctoral research at the University of California San Francisco, focusing on neuroimaging techniques in behaving mice. In 2014, he was awarded the A*STAR Investigatorship and established his lab at SBC in 2015. His primary research investigates neural mechanisms of metabolic regulation, particularly feeding behavior. Additionally, his work spans structural engineering and civil infrastructure, leveraging machine learning for predictive modeling and real-time monitoring systems. Education: PhD in Neuroscience, Stony Brook University Postdoctoral Training, University of California San Francisco Research interests include interdisciplinary applications of AI in bioimaging, structural health monitoring, and extraterrestrial habitat simulations. Key contributions include edge intelligence systems for infrastructure assessment and modular virtual testbeds for space habitats. His work bridges neuroscience and engineering through innovative data-driven methodologies. Notable Achievements: A*STAR Investigatorship (2014) Pioneered GABAergic neuron imaging techniques in mouse visual cortex Developed xImpact and xShake systems for infrastructure monitoring His lab’s research integrates neural mechanisms with advanced engineering solutions, addressing challenges in both biological systems and built environments. Current projects focus on metabolic regulation pathways and AI-driven infrastructure resilience strategies.

Mustafa Özgerمشاهده پروفایل

استادیار

• Wireless Communications
• Network Architecture
• Sensing and Communication Systems
• +۵ مورد دیگر

Mustafa Özger is a Tenure Track Assistant Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on advanced communication systems, including 6G networks, non-terrestrial networks (NTN), unmanned aerial vehicles (UAVs), cognitive radio systems, and ultra-reliable low-latency communication (URLLC). He has contributed significantly to edge computing and networking, with a particular emphasis on integrating sensing capabilities with communication systems. His work also addresses challenges in network architecture design, handover management, and deep reinforcement learning applications for improving connectivity and reliability. Key research interests include airspace and network integration for future communication systems, signal classification using neural networks, and low-latency solutions for multi-connectivity scenarios. He has published extensively, with over 73 peer-reviewed articles since 2013, covering topics from cognitive radio networks to satellite constellations. His research often explores the intersection of machine learning and communication systems, with practical applications in IoT, vehicular networks, and underwater acoustic communications. Özger’s recent work highlights his leadership in emerging 6G technologies, particularly in adaptive network architectures that combine terrestrial and non-terrestrial elements. He has also pioneered methods for minimizing handover delays in NTN environments using Open RAN functional splits and developed denoising techniques for localization systems using autoencoder algorithms.

Andra Lutuمشاهده پروفایل

پژوهشگر

• Mobile Networks
• Internet of Things
• Network Architecture
• +۵ مورد دیگر

Andra Lutu is a network architecture expert with Telefonica Research in Madrid, Spain since 2021, previously serving as Associate Researcher in Barcelona (2018-2021) and Postdoctoral Fellow at Simula Research Laboratory. She holds a PhD in Telematics Engineering from IMDEA Networks Institute and University Carlos III of Madrid (2014), advised by Marcelo Bagnulo, and graduated cum laude. Her research focuses on mobile network performance, IoT connectivity, interdomain routing, and roaming solutions. PhD: University Carlos III of Madrid (2014) Advisor: Marcelo Bagnulo Research interests include: Mobile broadband optimization Cellular coverage analysis Network measurement frameworks (MONROE platform) Interdomain routing security 5G performance evaluation Crowdsourced network data Recent publications highlight mobile network performance analysis, roaming optimization, and pandemic-era traffic patterns. She has received multiple scientific awards : Best Paper Award (2016, 2015) Best Demo Award (2017, 2016) Andra contributes to experimental platforms like MONROE and has co-authored journal articles in IEEE Transactions, Computer Networks, and ACM SIGCOMM publications.

• Vehicle Design
• Sustainable Engineering
• Aerodynamics
• +۵ مورد دیگر

Ciarán O'Reilly is an Associate Professor and Docent in Conceptual Vehicle Design at KTH Royal Institute of Technology, Sweden. He leads the Conceptual Vehicle Design group within the KTH Engineering Mechanics department and directs the Centre for ECO2 Vehicle Design. His research focuses on holistic methodologies to address functional conflicts in vehicle design, combining mechanical engineering principles with multidisciplinary approaches. Key areas include life cycle energy optimization, sustainable design, crosswind dynamics, and noise impact assessment. He teaches courses such as Sustainable Vehicle Design (course responsible), Vehicle Engineering, and supervises degree projects. His academic roles emphasize synergizing research with pedagogical activities. Notable contributions include advancing frameworks for energy-efficient vehicle design, aerodynamic analysis of heavy ground vehicles under crosswind conditions, and applying network theory to complex design challenges. Recent work highlights include agent-based noise impact assessment models, barrier analysis for circular product design in the automotive sector, and manuscripts exploring remanufacturing viability and energy consumption under extreme crosswinds. His research bridges engineering disciplines, addressing both technical and systemic sustainability challenges in transportation systems.

• Vehicular Communication
• Intelligent Transportation Systems (ITS)
• 5G/6G Networks
• +۳ مورد دیگر

András Wippelhauser is a researcher affiliated with the Budapest University of Technology and Economics (BME) , specifically within the Department of Network Systems and Services at the Faculty of Electrical Engineering and Informatics . His work focuses on vehicular communication systems, intelligent transportation systems (ITS), 5G/6G networks, and advanced driver assistance systems (ADAS). He contributes to evaluating network architectures, simulating real-world traffic data for ITS deployments, and developing frameworks for autonomous vehicle applications. Doctoral School of Informatics (BME/EHBDT) affiliation since 2002. Active in international conferences and journals, with publications in Applied Sciences-Basel , Sensors , and Periodica Polytechnica Transportation Engineering . His research interests integrate theoretical network models with practical implementations, addressing challenges in V2X communication, cooperative platooning, and C-ITS infrastructure. He has collaborated on projects analyzing sensor data visualization, multi-RAT vehicular communication, and future digital infrastructure in regions like Montenegro. His articles emphasize network simulation, protocol optimization, and safety-critical applications in autonomous systems. He also explores military applications of autonomous off-road vehicles, highlighting interdisciplinary collaboration between academia and defense sectors.

Ole Aasvikمشاهده پروفایل

پژوهشگر

• Social Psychology
• Transportation Technology
• Human Factors Engineering
• +۵ مورد دیگر

Ole Aasvik is a PhD candidate and Researcher at the Department of Transport Economics (TØI) in Norway, affiliated with the University of Oslo. His work focuses on the social and psychological aspects of transportation technology, particularly autonomous vehicles. Currently, he leads the AutoMaas project investigating public acceptance of shared self-driving vehicles, emphasizing trust in technology and fellow passengers. Education: Master's degree in Social Psychology (University of Oslo, 2017) Bachelor's in Health and Social Psychology (University of Oslo, 2015) Assistant Professor at the University of Oslo (2015-2016) Research Interests: Social psychology of technology adoption Transport behavior and group dynamics Methodology in behavioral research Collaborations: Project funded by the Research Council of Norway (NFR) Partners: University of Oslo, TU Delft, Ruter, BaneNor, and Viken County Municipality Labs/Teams: Main supervisor: Associate Professor Pål Ulleberg (UiO) Co-supervisor: Professor Marjan Hagenzieker (TU Delft/TØI)