جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Joe Steinhauer is a Senior Lecturer in Computer Science at the University of Skövde, affiliated with the School of Informatics and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, and their applications in driver intention recognition, telecommunication networks, and healthcare systems. Research Interests: Joe’s work spans AI-driven solutions for transportation safety (e.g., driver and pedestrian behavior prediction), anomaly detection in telecommunication networks, and data fusion techniques. His recent projects include developing advanced driver assistance systems (ADAS) for trucks and AI methods for climate-adapted water management. Publications: Joe has published extensively on topics such as deep learning models for driver intention recognition, topic modeling for network monitoring, and uncertainty quantification in AI systems. His work bridges theoretical advancements and real-world applications in automotive safety and smart infrastructure. Grants/Projects: Key projects include I2Connect (2023–2026), STRATUS (2021–2023), and CogniDrive (2023–2024). These initiatives aim to enhance road safety, water infrastructure resilience, and driver situation awareness through AI and data-driven approaches. Labs/Teams: He collaborates within research groups focusing on vehicular AI, telecommunication analytics, and applied machine learning at the University of Skövde and industry partners like Volvo and CIDAN.

Zejiang Wangمشاهده پروفایل

استادیار

• Autonomous Driving
• Advanced Driving Assistance Systems
• Intelligent Transportation Systems
• +۴ مورد دیگر

Zejiang Wang is an Assistant Professor of Mechanical Engineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. His research focuses on dynamic systems modeling, estimation, control, and optimization, with applications in autonomous driving, advanced driver assistance systems (ADAS), and intelligent transportation systems. He holds a PhD from The University of Texas at Austin, an MS in Cyber-Physical Systems from École Polytechnique (Paris-Saclay), and a BE in Mechanical Engineering from Southeast University. Key research areas include resource-aware connected automated vehicles, human-centric driving support systems (tailoring ADAS to individual driver styles), cooperative driving automation through V2X communication, and rural mobility solutions leveraging CAVs. His work emphasizes safety and efficiency while minimizing energy consumption. Publications span model predictive control, robust control strategies, and innovations in vehicle dynamics, with a focus on real-world applications like trajectory tracking, driver fatigue mitigation, and energy-efficient systems. Notable awards include the IEEE ITSC Best Application Paper Award (2024), CPS Rising Stars (2024), and the IEEE Intelligent Transportation Systems Society Best Dissertation Award (2022). Current activities include advising students and leading projects in autonomous vehicle control systems. Collaborative efforts emphasize interdisciplinary solutions for modern mobility challenges, including energy optimization and rural transportation accessibility.

Sherrie-Anne Kayeمشاهده پروفایل

پژوهشگر ارشد

• Technology Acceptance
• Automated Vehicles
• Young Drivers
• +۵ مورد دیگر

Dr Sherrie-Anne Kaye is a Senior Research Fellow at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety – Queensland (CARRS-Q) and the MAIC-QUT Road Safety Research Collaboration. She holds a PhD in Psychology from QUT and has been active in road safety research since 2010. Her work focuses on technology acceptance, automated vehicles, young driver behavior, and speeding/speeding-related messaging. Research interests include cognitive measures of risk perception, driver distraction, and the application of behavioral theories to road safety interventions. She leads projects on advanced driver assistance systems (ADAS), automated vehicle adoption barriers, and prosocial driving behaviors. Her 15 most recent articles (2020–2025) span topics like shared awareness in automated driving, ChatGPT healthcare interactions, and motorcycle safety technologies. Current projects include evaluating Advanced Rider Assistance Systems and driver education reforms. Dr Kaye supervises PhD students in areas like AI chatbot acceptance and semi-automated vehicle safety. She collaborates with industry partners on projects funded by Australian Competitive Grants, focusing on cybersecurity and road safety innovations.

• Psychology
• Human Factors
• Road Safety
• +۳ مورد دیگر

Rachel Crotty serves as a Research Fellow at the Monash University Accident Research Centre (MUARC), contributing to critical research in psychology, human factors, and road safety. Her work bridges academic rigor with real-world transport sector applications through active collaboration with industry partners including Transport Victoria and the Transport Accident Commission. Her educational foundation includes: Bachelor of Psychology (Honours) from Monash University (awarded 2024) Rachel's research specializes in driver behavior analysis using advanced methodologies like driving simulation (STIsim), nationally representative surveys, and mixed-methods approaches. She investigates psychological determinants of risky behaviors including aggressive driving, tailgating, and occupational violence in commercial transport sectors, with emphasis on developing evidence-based safety interventions. Her publication record (2023-2025) reveals consistent focus on traffic psychology, featuring scale validation studies, behavioral theory applications, and analysis of aggressive driving patterns. This work demonstrates methodological sophistication through nationally representative samples and interdisciplinary frameworks. Her academic excellence has been recognized with: Malcolm Macmillan Prize (2023) William Webster Prize (2021) Rachel currently leads significant research initiatives including the active project 'Understanding occupational violence and Aggression (OVA) risk in CPV and bus sectors' (2025-2026) and contributed to the 'Baseline Research Program: Behavioural Adaptation to Advanced Driver Assistance systems (ADAS)' (2022-2023). These projects receive funding from Transport Victoria, TAC, and Corrections Victoria, addressing critical road safety challenges through behavioral science. As a core member of MUARC's research ecosystem, she operates within interdisciplinary teams focused on accident prevention, leveraging the Centre's global reputation in transport safety research while maintaining entrepreneurial activities through co-ownership of an online business.

Mario Marinelliمشاهده پروفایل

دانشیار

• Sustainable Mobility
• Transportation Engineering
• Fuel Cell Electric Vehicles
• +۳ مورد دیگر

Mario Marinelli is an Associate Professor at the University of Sannio , affiliated with the Department of Transport under the School of Engineering . His research focuses on sustainable mobility, freight transport optimization, hydrogen vehicle applications, and emission reduction strategies. Academic Rank: Associate Professor University: University of Sannio School: School of Engineering Department: Department of Transport Research Interests: Marinelli's work spans transportation systems, with emphasis on low-emission vehicles, fuel cell electric freight transport, and algorithmic approaches to traffic assignment. He has contributed to hydrogen infrastructure modeling, waste management optimization, and demand-responsive urban mobility solutions. His studies frequently involve simulation models and policy impact assessments. Publication Trends: Recent articles address eco-ADAS systems, freight network design, and hydrogen traction. Subfields include emission reduction at signalized intersections, multi-objective transport optimization, and berth allocation using bio-inspired algorithms. Keywords span sustainability, freight logistics, and computational methods.

• Robotic Perception
• Mobile Robotics
• Machine Learning
• +۳ مورد دیگر

Cristiano Premebida is an Assistant Professor in the Department of Electrical and Computer Engineering (DEEC) at the University of Coimbra, Portugal. He is also a senior researcher at the Institute of Systems and Robotics (ISR-UC) and holds a PhD in Electrical and Computer Engineering from the University of Coimbra (2012), a Master's degree from the same institution (2007), and a B.Sc. in Electrical Engineering from the State University of Santa Catarina, Brazil (2001). Current Academic Rank: Assistant Professor Affiliation: University of Coimbra His research focuses on robotic perception , mobile robotics , applied machine learning , and autonomous vehicle systems . Key methodologies include sensor fusion , multimodal perception , and 3D LiDAR-based navigation , with applications in precision agriculture, autonomous driving, and industrial automation. Recent publications highlight advancements in deep learning calibration , fuzzy system interpretability , and multimodal human detection . Projects funded by the Fundação para a Ciência e a Tecnologia include the GreenBotics initiative for intelligent agricultural systems and AI+Green for automation in precision agriculture. Collaborations span institutions like MIT Portugal, ISR-UC, and international robotics conferences.

Giulio Bianchi Piccininiمشاهده پروفایل

دانشیار

• Road Safety
• Human Factors in Transportation
• Traffic Psychology
• +۳ مورد دیگر

Giulio Bianchi Piccinini is an Associate Professor at Aalborg University’s Department of Construction, Urban and Environmental Engineering, leading the research group Data Analysis and Human Factors in Traffic . His career spans academia and industry, including nine years at Chalmers University of Technology’s Crash Analysis and Prevention group and prior automotive industry experience in Italy. Education : PhD in Transportation Systems (University of Porto, 2019); Master’s in Automotive Engineering (Polytechnic University of Turin, 2014); Bachelor’s (2007). Giulio’s research centers on road safety , analyzing accident mechanisms involving drivers, cyclists, and pedestrians. His work combines expert assessment and naturalistic data (video, kinematic variables) with theoretical foundations in engineering , cognitive science , and human factors . Recent projects include Safe e-PMvs (electric personal mobility safety) and Computer Vision for Cycling Safety . His articles highlight trends in driver-cyclist interactions , autonomous vehicle safety , and behavioral adaptation to driver assistance systems. Awards include the 2016 Best Presentation Award and 2007 Best Italian Master’s Thesis in Automotive Engineering . Teaching : Supervises undergraduate and graduate students in Civil Engineering and Roads & Traffic Engineering; developing a new Master’s program in Sustainable Road Transportation. Leadership : Served on editorial boards of Journal of Safety Research and European Transport Research Review ; former head of Chalmers’ Human Behaviour competence network.

Assia Soukaneمشاهده پروفایل

استادیار

• Computer Science
• Artificial Intelligence
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Assia Soukane serves as Director of Research at ECE Paris School of Engineering, where she joined in 2012 as a lecturer-researcher in computer science. She leads the "Intelligent Communicating Systems" research axis since 2014 and oversees institutional research strategy to foster interdisciplinary collaboration. She holds a PhD in computer science from the DAVID laboratory at the University of Paris Saclay. Her research centers on designing multi-source systems for heterogeneous environments, with recent work focusing on UAV path planning optimization, desert waste detection via drone imaging, and smartphone-based advanced driver assistance systems (ADAS). She develops hybrid algorithms like improved Manta Ray Foraging with Tabu Search to solve real-world smart city challenges in environmental monitoring and transportation. As head of the "Intelligent Communicating Systems" research axis, she drives cross-disciplinary projects integrating computational intelligence with practical applications in sustainable urban development.