جست‌وجوی استاد و پژوهشگر

• Electrical Engineering
• Energy Systems
• Renewable Energy
• +۵ مورد دیگر

Dr. Dariusz Borkowski is an Associate Professor in the Department of Electrical Engineering at the Faculty of Electrical and Computer Engineering, Jagiellonian University. His work focuses on energy systems, renewable energy integration, and automation technologies. He holds a BEng, PhD, and DSc in relevant fields. Research interests include hydropower optimization, battery storage, grid-connected systems, and advanced control algorithms. He has published 59 peer-reviewed articles, with a significant focus on small hydropower plants, renewable energy solutions, and smart grid technologies. His work emphasizes maximizing energy efficiency in variable-speed systems and improving energy conversion processes. Dr. Borkowski has supervised 2 promoted theses and contributed to 2 major scientific achievements. His research often intersects with practical applications, such as modular energy systems for green classrooms and energy recovery from municipal water networks. He leads projects on hybrid renewable systems, ADAS (Advanced Driver Assistance Systems), and sensor data processing for vehicle safety. He is affiliated with ORCID and maintains an active presence in Scopus and Web of Science. His Hirsch index (Scopus) is 12, reflecting impactful contributions to electrical engineering and energy systems.

• Automotive Engineering
• Vehicle Dynamics
• Tire and Suspension Modeling
• +۵ مورد دیگر

Prof. Günther Prokop is the Chair of Automobile Engineering at the Friedrich List Faculty of Transport and Traffic Sciences, Technische Universität Dresden, since 2010. He received the FISITA Academy of Technical Leadership Award 2022, which recognizes global automotive engineering excellence. His research focuses on vehicle dynamics, tire and suspension modeling, ADAS development, and automated driving systems. Affiliation: TU Dresden, Chair of Automobile Engineering Awards: FISITA Technical Leadership Award and Honorary Membership (2022) His recent work explores shock absorber friction , longitudinal dynamics metrics , and AI-enhanced suspension modeling . He contributes to virtual validation techniques , Monte Carlo safety assessments , and digital twin technologies for automotive powertrains. Key collaborations include international working groups under FISITA, aiming to advance carbon-neutral mobility and circular economy practices in the automotive sector. Scientific Awards: FISITA Academy of Technical Leadership Award 2022 Honorary Membership, FISITA Academy of Technical Leadership

Vassilis Papakostopoulosمشاهده پروفایل

استادیار

• Ergonomics
• Cognitive Science
• Human Factors Engineering
• +۴ مورد دیگر

Vassilis Papakostopoulos is an Assistant Professor at the Department of Product and Systems Design Engineering, University of the Aegean, specializing in Ergonomics. His academic background includes a PhD in Cognitive Psychology (Panteion University, 2008), MSc in Ergonomics (Loughborough University, 1998), and BSc in Psychology (University of Crete, 1996). He has extensive research experience in driver behavior analysis, human-robot interaction, and workplace design. His research focuses on visual perception, motor coordination, and ergonomics applications in transportation systems. Key areas include advanced driver assistance systems (ADAS), human factors in autonomous vehicles, and safety in urban environments. He has contributed to major EU-funded projects such as interACT, ASK-IT, and PReVENT, addressing challenges in traffic safety and human-machine interaction. Teaching responsibilities include undergraduate and graduate courses on ergonomics, user-centered design, and product development. He has published over 20 peer-reviewed articles, emphasizing holistic approaches to driver behavior analysis and interdisciplinary ergonomics applications. As Greece’s representative in the Centre for Registration of European Ergonomists (CREE), he promotes professional standards in ergonomics practice. Recent research trends include autonomous vehicle interactions, motorcycle safety, and organizational policies affecting risky driving behaviors. His work bridges historical ergonomic principles (e.g., ancient Athenian court design) with modern challenges in smart city infrastructure and human-robot collaboration.

• Road Safety
• Vehicle Passive Safety
• Finite Element Analysis
• +۷ مورد دیگر

Dr. Mario Mongiardini is a Grant-Funded Researcher at the Centre for Automotive Safety Research (CASR), within the University of Adelaide's Faculty of Sciences, Engineering and Technology. He joined CASR in 2018 after research roles in the USA (2010-2012) and Sydney (2012-2018). His work spans road safety infrastructure and vehicle safety technologies, with expertise in finite element modeling, crash testing, and data analysis from naturalistic driving studies. He holds a PhD in Civil Engineering (Worcester Polytechnic Institute, USA) and an MSc in Mechanical Engineering (Polytechnic University of Milan, Italy). PhD in Civil Engineering, Worcester Polytechnic Institute (2010) MSc in Mechanical Engineering, Polytechnic University of Milan (2003) Mario Mongiardini's research focuses on road safety, encompassing: Road Infrastructure: Safe System approach implementation, roadside safety barrier evaluation, Intelligent Transport Systems (ITS), and before/after assessments of traditional treatments. Vehicle Safety: Advanced Driver Assisting Systems (ADAS), Connected and Automated Vehicles (CAVs), quad-bike safety modeling, and high-detail crash event analysis using finite element software. Methodologies: Data analysis from naturalistic driving studies, physical crash testing, numerical modeling (e.g., LS-DYNA), and ad-hoc programming for crash prediction. His collaborative work involves road safety authorities and crash test facilities. He has authored/co-authored peer-reviewed journals, conference papers, and technical reports for road agencies.

Frans Tillemaمشاهده پروفایل

مدرس

• Intelligent Mobility
• Advanced Driver Assistance Systems (ADAS)
• Autonomous Driving
• +۳ مورد دیگر

Frans Tillema is a Lecturer at the Automotive Research Department of the Academy of Engineering and Automotive at HAN University of Applied Sciences. His research focuses on Intelligent Mobility, including Advanced Driver Assistance Systems (ADAS), autonomous driving, and cooperative vehicles. He emphasizes model development and validation through prototyping, aiming to ensure safe future mobility through interdisciplinary collaboration. Member of the Gelderland Energy Agreement mobility team Quality Team member of Brainport Smart District (appointed by Helmond's Mayor) Board member of the Association of Lecturers Supervisory Board member of 'Het Stedelijk Lyceum Enschede' Research projects include HUBRIS (human-like robotics in vehicle systems), SAVED (autonomous logistics), and H2Lab (hydrogen systems). Notable collaborations involve Ten Kate Racing for sustainable motorsport and Brainport Industries Campus for innovation partnerships.

• Advanced Driver Assistance Systems (ADAS)
• Ontological Reasoning
• Human-Machine Interaction (HMI)
• +۳ مورد دیگر

Botao Fan is a Lecturer in Computer Science at Bournemouth University's Faculty of Science and Technology. His work focuses on Advanced Driver Assistance Systems (ADAS), ontological reasoning, and human-machine interaction (HMI) design. He holds a PhD from Bournemouth University (2023), titled 'Improving the Design of Information Provision for Advanced Driver Assistance Systems in Multi-warning Situations.' His research emphasizes minimizing driver distraction through ontological approaches and optimizing HMI for automotive safety. Education PhD in Computer Science, Bournemouth University (2023) Research Interests Ontological modeling for ADAS systems Safety-critical HMI design Rule-based reasoning for passive warnings Driver behavior analysis in multi-warning contexts Articles Focus on integrating ontologies with HMI to enhance ADAS efficacy while reducing driver cognitive load. Recent work explores rule-based systems for context-aware warning delivery and ontological frameworks for standardized ADAS-HMI communication. Advising & Grants Supervises PhD candidates in automotive safety and HMI design. No specific grants mentioned in available texts. Labs/Teams Engaged with the university's Automotive Systems and Human Factors research groups, though specific lab affiliations are not detailed.

Kim Kielyمشاهده پروفایل

دانشیار مدعو

• Life-course epidemiology
• Social psychiatry
• Gero-psychology
• +۷ مورد دیگر

Dr. Kim Kiely is an Adjunct Senior Lecturer at the School of Psychology, Faculty of Science, University of New South Wales (UNSW) Sydney. He also holds an honorary senior research fellow position at the Ageing Futures Institute and has a conjoint appointment with Neuroscience Research Australia (NeuRA). Dr. Kiely's research adopts a contextualized perspective to human development across the life-course, spanning life-course epidemiology, social psychiatry, and gero-psychology. His primary research interests focus on healthy and productive ageing, examining behavioral and social determinants of mental health across the life-course, the social, functional and cognitive impacts of sensory loss in late life, dementia prevention, and social inequalities in healthy life expectancy. Dr. Kiely has published extensively in gerontology and aging research, with recent work focusing on the intersection of sensory impairment, cognitive decline, and driving safety in older adults. His research often employs longitudinal cohort studies to examine life-course determinants of healthy aging, with particular attention to socioeconomic factors and their impact on disability-free life expectancy. Dr. Kiely has received several prestigious awards including an NHMRC Early Career Fellowship, an Alzheimer's Australia Dementia Research Foundation fellowship, the Australian Psychological Society Prize, and the Australian Association of Gerontology RM Gibson Award. Dr. Kiely supervises PhD students including James Lian ("Childhood Adversity and Healthy Ageing") and Abigail Hanson ("The impact of age-related changes in trust and social cognition on older drivers' interaction with ADAS"). He has been awarded multiple competitive grants, including an ARC Linkage Project on Ageing drivers, an ARC Discovery Project on Healthy and working life expectancies, and an NHMRC Early Career Fellowship on Estimating and alleviating the impacts of age-related sensory decline. Dr. Kiely is actively involved in the PATH through Life Project and the Dynamic Analyses to Optimise Ageing (DYNOPTA) project, large-scale longitudinal studies examining aging in the Australian population.

• Vehicle Safety
• Crash Analysis
• Advanced Driver Assistance Systems (ADAS)
• +۳ مورد دیگر

Ernst Tomasch is a researcher at the Institute for Vehicle Safety (VSI) within Graz University of Technology . His work focuses on vehicle safety systems , crash analysis , and advanced driver assistance systems (ADAS) , with particular emphasis on preventing accidents involving trucks, cyclists, and pedestrians. Recent publications highlight his expertise in Crash cushion and roadside barrier design Cornering ABS for motorcycles ADAS effectiveness for vulnerable road users Child pedestrian safety modeling Heavy goods vehicle safety Simulation-based accident prevention . His research contributes to harmonized pre-crash scenarios and safety protocols for automated driving systems. He collaborates on projects like KISIMO (child pedestrian modeling) and PREVENT (guardrail transitions). Contact: ernst.tomasch@tugraz.at

D. (Dick) de Waardمشاهده پروفایل

استاد مدعو

• Traffic Psychology
• Ergonomics
• Transportation Safety
• +۳ مورد دیگر

Prof. dr. D. (Dick) de Waard is an Adjunct Professor in Traffic Psychology and Sustained Mobility at the University of Groningen's Faculty of Behavioural and Social Sciences. He holds a 0.9 FTE position, indicating part-time engagement. He has been affiliated with the University since 1983, progressing from a research associate to his current role. His academic career includes roles as a lecturer, associate professor, and adjunct professor. Education: Experimental Psychology (University of Groningen, 1983–1989) Research Interests: Traffic psychology, driver behavior, human factors in transportation, cognitive aging, and advanced driver assistance systems (ADAS). He focuses on impaired driving detection, effects of automation, and mobility of older adults. Research Contributions: Over 200 publications, H-index 34 (Scopus), and editorial roles in journals like International Journal of Human Factors and Ergonomics . His work explores behavioral adaptation to automation, cycling safety, and driver monitoring systems. Recent studies include AI-driven driving assessment, effects of drugs on driving performance, and infrastructure impact on traffic safety. Awards: Winner of the 1996 Snijders-Kouwerprijs. He has supervised over 12 PhD students and co-organized major conferences like the International Conference on Traffic and Transport Psychology. Grants and Labs: Coordinated national and European projects on transportation safety. Active in the TRAIL Research School and various scientific committees. His lab focuses on traffic psychology, neuropsychological assessments, and human-vehicle interaction.

Eric Jacksonمشاهده پروفایل

عضو هیئت علمی

• Transportation Data Systems
• Web-Based Data Collection
• Safety Data Integration and Analysis
• +۳ مورد دیگر

Eric Jackson, Ph.D., serves as the Executive Director of the Connecticut Transportation Institute (CTI) and Director of the Connecticut Transportation Safety Research Center (CTSRC) at the University of Connecticut. He holds an Associate Research Professor position. Dr. Jackson earned his B.S. in Civil Engineering from the University of Kentucky (2002), followed by a Master's (2004) and Ph.D. (2008) from UConn. His research focuses on transportation data systems, web-based data analysis, safety data integration, and remote sensing. He has led initiatives like the modernization of Connecticut’s crash data repository (CTCDR) and the Connecticut Roadway Safety Management System (CRSMS). His work emphasizes accessible crash data tools and systemic safety improvements. Dr. Jackson’s recent publications (2021–2025) address topics such as autonomous vehicle-pedestrian interaction, telematics data for crash analysis, and ADAS driver reactions. His research bridges technological advancements with practical road safety solutions. He has collaborated on state-wide infrastructure projects, including asphalt material studies and pavement marking evaluations. Despite no listed awards, his leadership in CT transportation initiatives underscores his impact in the field. Dr. Jackson oversees the CTSRC Safety Analysis Team, driving software development for safety tools like the Highway Safety Manual integration. His work ensures timely, accurate data access for transportation planners and policymakers. He maintains a laboratory focused on data-driven safety analytics and has contributed to over 100 publications, reflecting his commitment to advancing transportation safety through innovation.

Andy Xiaoمشاهده پروفایل

استاد مدعو

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

Andy Xiao is an Adjunct Professor in the College of Engineering at San José State University and concurrently serves as Technical Manager and Valeo Expert in AI at Valeo North America in San Mateo, CA, leading machine learning R&D for Comfort Driving Assistance Systems. Education: Ph.D. in Electrical Engineering, University of Cincinnati, Ohio, 2015 Bachelor's Degree in Electronic and Information Engineering, Dalian University of Technology, Liaoning, China, 2009 His research spans Computer Vision , Machine Learning , and Image Processing applied to Autonomous Driving and Advanced Driver Assistance Systems (ADAS) , with significant contributions to Data Mining and AI Engineering through courses CMPE-252 (AI & Data Engineering) and CMPE-256 (Advanced Data Mining). Scientific Awards: Undergraduate Distinguished Student Award He holds over 10 granted patents and 20+ patent applications. Research funding includes: Ohio Department of Transportation (ODOT) Ministry of Education of China NSF China National Highway Traffic Safety Administration (NHTSA) project (industrial consultant with Virginia Tech) With 10+ years in ADAS/AD R&D since 2014, Dr. Xiao has driven mass-production deployments across automotive manufacturers and Tier One suppliers. He actively serves IEEE Southeastern Michigan Section (2016-2017 Executive Committee Treasurer/Young Professional Secretary), chairs academic conferences, and reviews for IEEE Transactions on Image Processing, IEEE Transactions on Systems/Man/Cybernetics, and other top journals.

Peter W.A. Zegelaarمشاهده پروفایل

استاد

• Advanced Driver Assistance Systems (ADAS)
• Vehicle Dynamics and Control
• Cooperative Driving Systems
• +۳ مورد دیگر

Peter W.A. Zegelaar is a part-time Professor of Smart Vehicle Technology at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). His academic role is within the Dynamics and Control research group. He holds dual affiliations: as Technical Expert Brake Controls at Ford Research and Advanced Engineering Europe (since 2003) and former research roles at Robert Bosch GmbH (1998–2003). He earned his MSc (1991) and PhD (1998) in Mechanical Engineering from Delft University of Technology (TU Delft). Education: MSc in Mechanical Engineering, TU Delft (1991) PhD in Mechanical Engineering, TU Delft (1998) His research focuses on advanced driver assistance systems (ADAS) , including cooperative driving strategies, collision avoidance, and sensor integration. Key projects include Simultaneous Localization and Mapping (SLAM) with radar sensors, trajectory planning for parking, and platooning control algorithms. His work bridges theoretical control systems with automotive industry applications. Recent research trends emphasize cooperative autonomous platooning and merging control strategies , addressing challenges like gap management and sensor noise mitigation. His publications highlight innovations in merging algorithms and lane-change dynamics for automated vehicles. Advising & Grants: Supervised 8 academic works (names unlisted). Collaborations include Ford, Bosch, and TU/e’s Dynamics and Control group. His research aligns with UN Sustainable Development Goals related to road safety and sustainable transport. Labs/Teams: Active in TU/e’s Dynamics and Control group and Ford’s Vehicle Dynamics department, focusing on brake control systems and cooperative driving solutions.

Jason Millarمشاهده پروفایل

دانشیار

• Ethical Engineering
• Artificial Intelligence Ethics
• Robotics Policy
• +۵ مورد دیگر

Dr. Jason Millar is an Associate Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, with a cross-appointment to the Department of Philosophy in the Faculty of Arts. He holds the Canada Research Chair in Ethical Engineering of Artificial Intelligence and Robotics and directs the Canadian Robotics and Artificial Intelligence Ethical Design Lab (CRAiEDL). His work focuses on integrating ethical thinking into engineering workflows, particularly in automated vehicles, healthcare robotics, and military robotics. He provides expert testimony on AI ethics at international forums like the United Nations and advises on policy for autonomous systems. Education: Engineering Physics degree with prior engineering practice before transitioning to academic ethics research. His research emphasizes ethical frameworks for emerging technologies, including privacy preservation in automated systems and liability issues in advanced driver assistance systems. Research Interests: Ethical engineering of AI/robotics, policy development for autonomous systems, human-robot trust dynamics, and societal impacts of automation. His work bridges engineering, philosophy, and law, advocating for interdisciplinary approaches to ethical technology design. Scientific Awards: Canada Research Chair in Ethical Engineering of AI and Robotics (2015–present). Advising & Grants: Advises on policy for autonomous vehicles and military robotics. Has secured grants for ethical AI design and public engagement initiatives. Labs/Teams: Leads the CRAiEDL lab, exploring ethical design principles for robots and AI systems. Collaborates with interdisciplinary teams across engineering, philosophy, and legal disciplines.

Andrea Amideiمشاهده پروفایل

پژوهشگر ارشد

• Driver State Monitoring
• Drowsiness Detection
• Physiological Signal Processing
• +۳ مورد دیگر

Andrea Amidei serves as a Research Fellow for the ADAS+ project since 2020, specializing in driver psychophysiological state monitoring systems that integrate multimodal physiological signals for road safety applications. His academic background includes: Bachelor of Science in Electronics Engineering (2017), University of Modena and Reggio Emilia Master of Science in Electronics Engineering (2020), University of Modena and Reggio Emilia; thesis developed during an STMicroelectronics internship in Catania focusing on PPG-based driver drowsiness monitoring His research centers on real-time assessment of driver drowsiness and attention levels through advanced integration of physiological signals including ocular metrics (blink patterns, gaze direction), head posture, galvanic skin response, respiratory patterns, and intoxication indicators. This work bridges automotive safety engineering and biomedical signal processing , developing non-intrusive monitoring solutions for next-generation driver assistance systems with significant implications for accident prevention through early impairment detection. No scientific awards or honors were documented in the source material. Information regarding student mentorship, research grants, or funding sources was not provided in the available text. His current research activities are conducted within the ADAS+ project framework, though specific laboratory infrastructure or collaborative team structures beyond this project were not detailed.

James Flemingمشاهده پروفایل

مدرس ارشد

• Model Predictive Control
• Embedded Machine Learning
• Automotive Engineering
• +۳ مورد دیگر

Dr. James Fleming is a Senior Lecturer in the Control Systems Group at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University. He specializes in Model Predictive Control (MPC) and embedded machine learning, with applications in automotive safety systems, renewable energy, and sustainable transportation. His research focuses on optimizing energy systems, improving vehicle safety, and advancing control algorithms for smart grids and wind turbines. Education : MEng Engineering Science (University of Oxford, 2012) DPhil Engineering Science (University of Oxford, 2016) Research Interests : Dr. Fleming’s work spans advanced driver assistance systems (ADAS), eco-driving optimization, and the integration of renewable energy sources. He also explores machine learning applications in friction estimation and vehicle dynamics. His research aims to enhance energy efficiency, safety, and sustainability in transportation and power systems. Awards : Fellow of the UK Higher Education Academy Advising & Grants : While no advisees are listed, his research has been supported by collaborations with Jaguar Land Rover and projects like the G-Active initiative. He has contributed to developing eco-driving assistance systems and energy management frameworks. Labs & Teams : Active member of the Control Systems Group at Loughborough University, focusing on interdisciplinary projects in control engineering and renewable energy systems.