جست‌وجوی استاد و پژوهشگر

Hormoz Marzbaniمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Automotive Engineering
• Vehicle Dynamics
• +۷ مورد دیگر

Associate Professor Hormoz Marzbani is affiliated with the School of Engineering at RMIT University. His roles include teaching and research supervision in areas such as Dynamics and Vibration, Vehicle Dynamics, Autonomous Systems, and Mechanical Design. He actively supervises research projects focusing on autonomous vehicle control, safety enhancements, and advanced manufacturing techniques. Research Interests Mechanical Engineering Automotive Engineering Autonomous Systems Motion Sickness Mitigation Additive Manufacturing Infrastructure Integration for Automated Vehicles Recent research trends include optimizing autonomous vehicle trajectories, enhancing safety through infrastructure collaboration, and mitigating motion sickness via ergonomic path planning. His work frequently addresses challenges in control systems, sensor fusion, and experimental validation with scaled prototypes. Supervision & Grants Supervision projects include topics like Autonomous Optimal Vehicle Control , Trajectory Optimization for Active Safety , and 3D Printed Mycelium Composites . His research often intersects with industry needs, leveraging grants for experimental setups and computational modeling. Labs & Collaborations Engages in collaborative projects involving scaled autonomous vehicle testing and infrastructure-based sensor networks, emphasizing real-world application of theoretical advancements.

Ashish Bhaskarمشاهده پروفایل

استاد

• Transport Data Analytics
• Traffic Simulation
• Intelligent Transport Systems
• +۲ مورد دیگر

Ashish Bhaskar is Professor of Civil Engineering (Transport) at Queensland University of Technology, where he co-leads the Business and Engineering Systems domain at the Centre for Data Science. His research develops data-driven solutions for traffic congestion through three interconnected themes: (1) Transport big data analytics using multi-source traffic data, (2) Network-scale modeling and simulation, and (3) Real-time traffic control algorithms. Current projects include: AI for traffic and transit congestion forecasting Data-driven traffic assignment using vehicle trajectories Evaluation of connected vehicle technologies Network-scale arterial traffic state prediction

Veljko Dubljevicمشاهده پروفایل

استاد

• Neuroethics
• Ethics of AI
• Cognitive Neuroscience of Ethics
• +۳ مورد دیگر

Veljko Dubljevic is a University Faculty Scholar and Professor of Philosophy and Science, Technology & Society (STS) at North Carolina State University’s College of Humanities and Social Sciences. He leads the NeuroComputational Ethics Research Group and serves as Editor-in-Chief of the American Journal of Bioethics – Neuroscience. His work focuses on neuroethics, AI ethics, and the cognitive neuroscience of moral judgment, with over 90 peer-reviewed articles and four academic books to his name. Education: PhD in Political Science (University of Belgrade, 2011), D.Phil. in Philosophy (University of Stuttgart, 2014), and postdoctoral research in neuroethics at McGill University (2016). He also holds an M.Sc. in Economics (Educons University, 2008) and a B.A. in Philosophy (University of Novi Sad, 2001). Research interests include the ethics of neurotechnology, AI governance, and moral judgment processes. He has led funded projects such as the NSF CAREER grant on virtual reality simulations for autonomous vehicle ethics and the NCSU RISF grant on sociotechnical principles for AI ethics. His work bridges neuroscience, philosophy, and policy, addressing issues like cognitive enhancement, brain-computer interfaces, and dementia ethics. Key awards include his University Faculty Scholar designation. He advises international bodies like the International Neuroethics Society and co-edits the Advances in Neuroethics series. His interdisciplinary approach spans ethics, law, and technology, with recent focus on AI alignment, moral stress in law enforcement, and neuroethical frameworks for emerging technologies. Notable grants include a $571K NSF grant for AV ethics research and a $985K NSF RAISE grant for workforce empowerment technologies. His labs and teams collaborate across disciplines, emphasizing practical ethics translation and societal impact.

Yuanzhu Zhanمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Management
• Big Data and Analytics
• +۷ مورد دیگر

Yuanzhu Zhan is an Associate Professor in Operations and Supply Chain Management at the University of Birmingham's Birmingham Business School, holding the Department of Management's PGR Lead role. Previously, he served as Programme Director for the BSc Business Management (PT) program in Singapore (2021/22). He holds a PhD and MSc from the University of Nottingham, specializing in Risk Management and Business Management. His research focuses on emerging technologies' impacts on operations, innovation, and sustainability, with notable contributions to blockchain governance, AI-driven supply chains, and circular economy frameworks. He co-edits special issues on 'Blockchain in Operations' (International Journal of Production Economics) and 'Generative AI in Digital Platforms' (IEEE Transactions on Engineering Management). Editorial Roles: Associate Editor of Journal of Operations Management, Department Editor of IEEE TEM, Board Member of IJOPM/IJPE/IMDS Awards: 2024 Best Reviewer (JOM), 2022 Emerald Award (IMDS), 2018 Early Career Award (ULMS) Funding: Secured grants from British Academy/Leverhulme Trust, NSFC, and MSI Key Projects: Blockchain-enabled social media platforms, AI in healthcare logistics, electric vehicles for net-zero Zhan's teaching expertise spans Operations Management and Business Analytics at both undergraduate and postgraduate levels. He is a certified expert in Big Data Analytics and actively supervises PhD candidates in technology-driven innovation and sustainable supply chains.

Liton Kamruzzamanمشاهده پروفایل

دانشیار

• Transport Planning
• Land Use Planning
• Travel Behaviour
• +۴ مورد دیگر

Associate Professor Liton Kamruzzaman coordinates the Methods Field at Monash University's Department of Civil and Environmental Engineering. Recognized as Australia's top researcher in Urban Studies and Planning (2021, 2023), his work examines transport-land use relationships through spatial analytics and behavioral modeling. Research spans: Sustainable urban mobility systems Transport emissions modeling Autonomous vehicle impacts 20-minute neighborhood design Big data applications in transport Leads projects including ARC Discovery grants on autonomous vehicle impacts ($200k) and NHMRC-funded JIBE study on built environment-health relationships. Supervises 19 PhD students investigating transport equity, urban analytics, and sustainable mobility. Teaches advanced courses in transport engineering (CIV5177) and urban mobility futures (CIV5314).

Robbie Napperمشاهده پروفایل

دانشیار

• Sustainable Transport
• Bicycle Design
• Public Transport Systems
• +۳ مورد دیگر

Robbie Napper is an Associate Professor in the Department of Design at Monash University, specializing in sustainable transport systems design. His work integrates industrial design with mobility infrastructure to make eco-friendly transport the default choice through innovations in bicycles, buses, and urban mobility networks. His academic credentials include: PhD in Industrial Design (Monash University, 2011) Bachelor's Degree with First Class Honours in Industrial Design (University of Canberra, 2004) Graduate Certificate in Higher Education (Monash University, 2012) Napper's research pioneers practical solutions for sustainable mobility transitions, including novel bicycle storage systems, bus fleet electrification strategies, and behavioral studies on transport mode adoption. His work directly supports UN Sustainable Development Goals for sustainable cities and climate action through human-centered design approaches. Recent publications reveal a strategic focus on integrating micromobility with public transit, enhancing safety in clean transport systems, and building user trust in autonomous vehicles. His outputs uniquely blend theoretical frameworks with tangible design solutions, from vehicle prototypes to policy guidance documents. Key recognitions include: GOOD DESIGN AWARD WINNER (2021) for aircraft cabin innovation National Transport Research Award shortlisting (2020) Premier's Design Awards finalist (2020) Smarter Hobart Challenge finalist (2021) Napper actively supervises PhD candidates while leading major industry collaborations like Victoria's bus fleet electrification project. He serves on the US National Academy of Sciences' Transportation Research Board and co-organizes the Australasian Road Safety Conference, bridging academic research with real-world transport challenges. His public engagement includes influential media contributions reframing cycling culture and safety debates, alongside international collaborations like his 2024 visiting researcher role at IIT Bombay.

Hang Zhouمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• Self-Supervised Learning
• +۳ مورد دیگر

Hang Zhou serves as a Senior Research Associate at the School of Computing Sciences, University of East Anglia (UEA), specializing in computer vision and machine learning with emphasis on self-supervised depth estimation techniques. His research centers on advancing monocular depth estimation through innovative approaches like uncertainty modeling and motion constraints. Key contributions include self-distillation frameworks for improved accuracy and constant velocity constraints leveraging temporal consistency in video sequences. These methods address fundamental challenges in scale ambiguity and occlusion handling within 3D scene reconstruction. Recent publications reveal a focused trajectory in enhancing self-supervised learning pipelines for depth estimation, with applications spanning autonomous vehicles and augmented reality systems. His work consistently integrates geometric priors with deep learning architectures to overcome limitations of traditional methods. Hang Zhou maintains an active research profile with collaborations spanning multiple institutions, as evidenced by co-authorship with researchers including D. Greenwood, S. Taylor, and M. Mackiewicz. His professional presence is documented through the University of East Anglia's research portal and personal website at https://brandleyzhou.github.io .

• Underwater Robotics
• Autonomous Underwater Vehicles (AUVs)
• Energy Management Systems
• +۳ مورد دیگر

Clemens Deutsch is a postdoctoral researcher at KTH Royal Institute of Technology's Centre for Naval Architecture (Maritime Robotics Laboratory) specializing in underwater robotics and autonomous underwater vehicles (AUVs). His work focuses on long-endurance AUVs, system optimization, and energy management strategies. He is affiliated with the department of Aerospace, Moveability and Naval Architecture and is supported by the Swedish Maritime Robotics Center (SMaRC). His research includes developing the large-demonstrator AUV 'LoLo' and analyzing fuel cell/battery hybrid systems for AUVs. Education PhD in Naval Architecture under Prof. Jakob Kuttenkeuler at KTH Royal Institute of Technology (2022) Research Interests Autonomous Underwater Vehicle (AUV) design and optimization Energy management systems for marine robotics Long-endurance AUV propulsion and power systems Applications in glaciology and environmental monitoring using uncrewed vehicles Publications Recent work emphasizes energy systems for AUVs, glacial dynamics monitoring, and hybrid power strategies. Key themes include fuel cell integration, battery management, and system optimization for maximizing vehicle endurance. Grants & Collaborations Supported by the Swedish Maritime Robotics Center (SMaRC) Labs & Teams Maritime Robotics Laboratory (KTH) Part of the SMaRC consortium

• Vehicle Dynamics
• Autonomous Vehicles
• Fault-Tolerant Control
• +۳ مورد دیگر

Mikael Nybacka is an Associate Professor at the Department of Engineering Mechanics at KTH Royal Institute of Technology, specializing in Vehicle Dynamics. He leads the Research Concept Vehicles initiative within the Integrated Transport Research Lab (ITRL) and advises the KTH Formula Student team. His roles include Programme Director for the Master's Programme in Vehicle Engineering (2020–present) and Director of the TRENoP strategic research area (2022–2024). Education: PhD in Engineering (2009) from Luleå University of Technology, focusing on automotive winter testing technologies. Research Interests: Vehicle validation, autonomous vehicle systems, fault-tolerant control, urban vehicle concepts, and driver-vehicle interaction. Current projects include PREDICT (zero-emission vehicle validation), REDO2 (remote driving), and iCOMSA (vehicle dynamics evaluation). Publications Highlight: Recent work explores remote driving systems, autonomous path planning, and sensor-based vehicle control, emphasizing safety and efficiency in next-generation vehicles. Grants and Funding: Active in strategic initiatives like EIT Urban Mobility and SAFER Vehicle Safety Centre. Supervised over 10 PhD students, including graduates at Scania and Volvo Cars. Labs/Teams: Leads ITRL's research vehicles program and collaborates with industry partners in automotive innovation.

• Vehicle Dynamics
• Automotive Engineering
• Electrification of Vehicles
• +۷ مورد دیگر

Lars Drugge is a Professor at the Royal Institute of Technology (KTH) in the Department of Automotive Engineering and Technical Acoustics. His research focuses on smart, safe, and sustainable transportation solutions, including electrification, automation, and active vehicle systems. He explores crosswind stability, tire-wheel interactions, and driver-vehicle interfaces through experimental and simulation-based methods. Drugge leads courses such as Vehicle Dynamics and collaborates on advanced driving simulators to improve motion algorithms and reduce motion sickness in autonomous vehicles. His work integrates interdisciplinary approaches to optimize vehicle characteristics for energy efficiency and safety. Research highlights include developing Kalman filters for real-time crosswind load identification, investigating heat-insulated wheelhouses' impact on truck tires, and optimizing autonomous vehicle trajectories to mitigate motion sickness. Drugge's contributions span vehicle dynamics modeling, sensory feedback systems, and environmental sustainability in transportation. Education: Not explicitly detailed in text, inferred through academic role. Grants/Awards: None explicitly mentioned. Labs/Teams: Active in KTH's vehicle dynamics and simulator research groups.

• Human-Robot Interaction
• Autonomous Vehicles
• Vehicle Safety
• +۳ مورد دیگر

Arkady Zgonnikov is a researcher in Mechanical Engineering at Delft University of Technology, specializing in Human-Robot Interaction with a focus on autonomous vehicles and human-machine systems. His work addresses critical issues in automated vehicle control, safety, and user perception through interdisciplinary approaches combining machine learning, cognitive modeling, and empirical studies. Research focuses on modeling driver behavior during automated driving scenarios, evaluating safety mechanisms, and understanding human factors in vehicle automation. Notable contributions include studies on Tesla users' experiences with partially automated systems and frameworks for meaningful human control in autonomous systems. Zgonnikov collaborates extensively with academic and industry partners, contributing to datasets on driver modeling and traffic interactions. His work has been featured in media discussions about AI in mobility and regulatory challenges for automated vehicles. He supervises academic projects and has co-created multiple datasets available via 4TU.ResearchData, including machine learning implementations and interaction modeling frameworks.

• Robotics
• Autonomous Vehicles
• Sensor Fusion
• +۶ مورد دیگر

Ángel Llamazares Llamazares is a Researcher at the Department of Electronics, University of Alcalá. His work focuses on robotics, autonomous systems, and sensor fusion technologies. He is affiliated with the Robesafe (Service Robotics and e-Safety) and former INVETT (Intelligent Vehicles and Traffic Technologies) research groups. He earned his PhD in 2017 with the thesis Laser-based detection and tracking of moving obstacles to improve perception of unmanned ground vehicles , supervised by Dr. Manuel Ocaña. His research spans topics like SLAM algorithms, obstacle detection, autonomous vehicle perception, and human-robot interaction. Key research areas include autonomous driving systems, multimodal sensor fusion (LiDAR/camera/RADAR), driver activity recognition, and robotics education through competitions. He has explored applications in traffic management, elderly care via voice assistants, and explainable AI for decision-making. Notable contributions include game-theoretic models for electric vehicle charging, modular autonomous driving software architectures, and fusion techniques for HD map validation. His work bridges theoretical advancements with real-world applications in safety-critical systems. Awards: None explicitly listed. Grants: Focus on robotics competitions and university-driven projects. Labs/Teams: Active in Robesafe and INVETT groups, collaborating on robotics competitions like Eurobot Spain to foster skill development among students.

• Image Processing
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Saturnino Maldonado Bascón is a full Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. His research focuses on advanced signal processing techniques, machine learning applications, and computer vision systems. He earned his doctorate from Universidad de Alcalá in 1999 with a thesis on multiresolution analysis for image compression. Key research interests include traffic sign recognition, video surveillance algorithms, 3D object recognition, and noise reduction in digital images. His work frequently employs support vector machines (SVM), spatial pyramids, and clustering methods to address challenges in robotics, autonomous systems, and sensor data analysis. Publications highlight contributions to vehicle tracking, odometry correction in differential robots, and efficient video annotation techniques. His research group (GRAM) develops multisensorial analysis solutions for intelligent infrastructure systems like the WHISNU platform. Maldonado has explored diverse applications from biomedical signal processing to traffic management systems through grants and collaborative projects. No scientific awards are explicitly mentioned, but his extensive publication record reflects sustained academic impact. He leads a research team focused on real-time systems, sensor fusion, and computer vision applications in both academic and industrial contexts.

Daniel V. McGeheeمشاهده پروفایل

استاد

• Driver attention and response
• Automotive Safety
• Crash avoidance
• +۴ مورد دیگر

Professor Daniel V. McGehee is a leading academic at the University of Iowa's College of Engineering, holding appointments in Industrial and Systems Engineering, Emergency Medicine, and Public Health. He directs the Driving Safety Research Institute (DSRI) and National Advanced Driving Simulator (NADS), focusing on driver behavior, automation safety, and human factors in transportation. His research spans ADAS systems, cannabis impairment effects, and tractor driving risks, with over $42M in grant funding. Key projects include 'ADS for Rural America' and the MyCarDoesWhat campaign. McGehee earned a PhD in Human Factors from the University of Leeds and has authored 150+ publications. His work integrates engineering, medicine, and policy to reduce traffic injuries. Education: PhD (Human Factors, University of Leeds), MS (Human Factors/Engineering Psychology, University of Idaho), BA (Psychology, Central Washington University). Research Priorities: Driver attention automation, crash avoidance, and trauma outcomes Labs: Applied Cognitive Engineering (ACE) Lab, DSRI Society Memberships: SAE International, Human Factors and Ergonomics Society Grants include studies on pedal misapplication, regenerative braking, and distracted driving trends. His work bridges academic research with real-world applications like NADS-Net AI for seat belt monitoring. McGehee collaborates globally, serving on the U.S.-EU-Japan trilateral automated vehicle working group.

Johannes Reuterمشاهده پروفایل

استاد

• Control Engineering
• Autonomous Systems
• Maritime Control
• +۳ مورد دیگر

Prof. Johannes Reuter is a Professor in the Department of Control Engineering at Konstanz University of Applied Sciences and a member of the Institute for System Dynamics (ISD). He serves as Vice Dean and Dean of Studies for the Electrical Systems M.Eng. program. His expertise includes control engineering, tracking, and multi-sensor data fusion. Reuter holds a doctorate in Automatic Control and System Dynamics from Berlin Technical University. Before joining Konstanz in 2007, he worked at IAV GmbH, IAV Automotive Engineering (USA), and Eaton Corp.'s Innovation Center (USA). His research focuses on autonomous systems, maritime control, and optimization algorithms, with contributions to conferences like ICRA and journals such as the Journal of Ocean Engineering. He leads projects on energy-efficient autonomous vessels (Solgenia) and advanced control strategies for dynamic systems. Education: Studied Mathematics/Physics at Bielefeld University Electrical Engineering degrees from Bielefeld University of Applied Sciences and Berlin Technical University Doctorate in Automatic Control and System Dynamics, Berlin Technical University Research Interests: Reuter’s work bridges theoretical control engineering with practical applications, emphasizing autonomous systems, maritime robotics, and sensor data fusion. Key areas include model predictive control (MPC), trajectory optimization, and energy-efficient vessel design. His research often integrates advanced algorithms like MPPI (Model Predictive Path Integral) for stochastic systems and develops methods for extended object tracking using LiDAR and radar sensors. Publications: Recent work highlights energy-optimal vessel docking, trajectory planning with signal temporal logic, and extended object tracking. His articles reflect a focus on interdisciplinary solutions combining control theory, robotics, and sensor technology. Awards/Grants: No specific awards listed, but his work is supported through academic and industrial collaborations. Labs/Teams: Active in the Institute for System Dynamics (ISD), Konstanz, which focuses on control systems, signal processing, and dynamic optimization across robotics, marine systems, and energy management.