جست‌وجوی استاد و پژوهشگر

Seongjin Choiمشاهده پروفایل

استادیار

• Urban Mobility Data Analytics
• Spatiotemporal Data Modeling
• Deep Learning & Artificial Intelligence
• +۳ مورد دیگر

Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.

• Human Factors Engineering
• Automated Driving
• Teleoperated Driving
• +۵ مورد دیگر

Niklas Grabbe is a postdoctoral researcher at the Chair of Ergonomics, Technical University of Munich (TUM), where he leads the research group on "Automated Driving and Mobility Systems" and is establishing a new working group focused on "Modelling complex socio-technical systems" with emphasis on Resilience Engineering and the Functional Resonance Analysis Method (FRAM). His research centers on human factors in automated and teleoperated driving, mobility systems, and behavior modeling. He applies systems engineering principles to analyze safety and usability, particularly using FRAM to study performance variability and resilience in socio-technical systems. His work addresses critical challenges in urban automated driving, teleoperation, and multi-driver interactions through rigorous quantitative modeling and field studies. Analysis of Grabbe's publications reveals a dominant trend in applying FRAM to driving scenarios, with recurring themes of safety enhancement, human-automation interaction, and usability evaluation. His interdisciplinary work bridges transportation psychology, safety engineering, and human-computer interaction, consistently emphasizing systems thinking to solve complex problems in automated vehicle technology. Grabbe contributes to academic instruction through courses like "Modelling Complex Sociotechnical Systems" (Winter 2025/26). He operates within TUM's Chair of Ergonomics infrastructure, utilizing specialized labs including driving simulators and ergonomic mockups to support experimental research in human factors and automated systems.

Bala Balasingamمشاهده پروفایل

استاد

• Battery Management Systems
• Autonomous Vehicles
• Human Factors Engineering
• +۴ مورد دیگر

Bala Balasingam is a Professor at the University of Windsor's Faculty of Engineering, specializing in interdisciplinary research at the intersection of electrical engineering, human factors, and autonomous systems. His work focuses on battery management systems, cognitive load assessment, and the human aspects of automated driving. Collaborating with the Faculty of Human Kinetics, he addresses challenges related to driver distraction and vigilance in autonomous vehicles. Research interests include battery parameter estimation, real-time state-of-charge tracking, and thermal management of lithium-ion batteries. His team employs advanced methods such as electrochemical impedance spectroscopy (EIS), Kalman filtering, and machine learning for battery diagnostics. In human factors, his studies utilize eye-tracking and biometric sensors to evaluate cognitive workload during complex tasks like vehicle takeovers in automated systems. Key contributions include novel approaches to battery internal resistance estimation, optimized charging algorithms, and validation frameworks for battery management systems. His recent work explores the integration of portable devices in automated driving systems and the impact of cognitive load on driver performance. Collaborations span engineering and kinesiology domains, emphasizing practical applications in transportation and energy sectors. Labs/Teams: Leads interdisciplinary projects combining electrical engineering and human kinetics expertise, with a focus on real-world applications in automotive and industrial automation.

Eric Jessupمشاهده پروفایل

استاد پژوهشی

• Transportation Modeling and Economics
• Freight Systems Modeling
• Applied Econometrics
• +۳ مورد دیگر

Eric Jessup is a Research Professor and Director of the Freight Policy Transportation Institute at Washington State University's School of Economic Sciences. He holds a Ph.D. in Agricultural Economics from WSU (1998), an M.S. and B.S. in Agricultural Economics from the University of Kentucky (1992, 1988). His career includes roles at Informa Economics, Albert-Ludwig-University (Germany), and American Express. His research focuses on transportation modeling, freight systems, applied econometrics, and geo-spatial analysis. Notable awards include the 2008 Transportation Research Forum Best Paper Award and recognition as an Eno Fellow (1994). Research interests emphasize optimizing freight logistics, transportation policy, and infrastructure investment. Recent work addresses pandemic impacts on global trade, truck parking safety, and rail rate dynamics. He has directed major freight policy initiatives, including the Freight Policy Transportation Institute and the PacTrans Workforce Development Institute. Over 80 publications span journals like Transportation Research Forum and Journal of the Transportation Research Forum , with a focus on GIS applications, supply chain resilience, and safety critical events. Education: Ph.D. Agricultural Economics, WSU, 1998 M.S. Agricultural Economics, University of Kentucky, 1992 B.S. Agricultural Economics, University of Kentucky, 1988 Awards: 2008 TRF Best Paper Award 2006 Best Paper Award (Italy) 1996 Northwest UTC Student of the Year 1994 Eno Transportation Fellowship Labs/Teams: Leads the Freight Policy Transportation Institute and collaborates with the Transportation Research Group at WSU. Engaged with national initiatives like PacTrans and the Idaho Statewide Freight Data Project. Grants and advising are central to his work, though specific student advisees are not listed. His research bridges academia and industry, addressing real-world challenges in freight logistics, environmental policy, and transportation safety.

Carryl Baldwinمشاهده پروفایل

استاد

• Neuroergonomics
• Aging Studies
• Human Factors Psychology
• +۵ مورد دیگر

Carryl Baldwin is the Carl and Rozina Cassat Distinguished Professor of Aging & Regional Institute on Aging and Director of the Wichita Auditory Research Group (WARG) at Wichita State University's Fairmount College of Liberal Arts and Sciences. Her work spans neuroergonomics, aging research, auditory cognition, and human-vehicle interface design, with funding from NHTSA, NIH, NASA, and private industry partners. Education : PhD in Human Factors Psychology (1997), MA in Human Factors Psychology (1994), BA in Psychology/Asian Studies (1987) Dr. Baldwin's research focuses on human interaction with automation , particularly in transportation contexts. She investigates driver attention, mind wandering, cognitive workload, and multimodal alarm systems using physiological metrics like EEG. Her lab explores aging-related cognitive changes and develops technologies to enhance safety and performance in semi-autonomous systems. The 15 most recent publications reveal trends in neuroergonomics , aging populations , and automated vehicle safety . Key themes include attention management in automation, auditory alarm optimization, and sustainability applications of human factors, with methodologies spanning EEG analysis, eye-tracking, and multimodal interface evaluation. Dr. Baldwin's lab has secured external funding from the National Highway Traffic Safety Administration, NIH-NIA, NASA centers, and defense contractors like Northrop Grumman. Current research includes driver vigilance in Level 2/3 vehicles, pandemic-related social isolation in older adults, and FAA-funded training technology evaluation.

Constantinos Antoniouمشاهده پروفایل

استاد

• Transportation Systems Engineering
• Intelligent Transport Systems (ITS)
• Behavioral Economics in Transport
• +۵ مورد دیگر

Prof. Constantinos Antoniou is a Full Professor in the Chair of Transportation Systems Engineering at the Technical University of Munich (TUM), part of the TUM School of Engineering and Design. He holds a Diploma in Civil Engineering from the National Technical University of Athens (1995), an MS in Transportation (1997), and a PhD in Transportation Systems (2004) from MIT. His research focuses on transportation systems engineering, including modeling/simulation, intelligent transport systems (ITS), behavioral economics in transport, road safety, and sustainable transport systems. He has authored over 500 scientific publications, including over 210 peer-reviewed journal papers, and serves as Co-Editor-in-Chief of Transportation Research Part A . Awards include the Francquis Chair (2023), IEEE ITS Outstanding Application Award (2011), and Marie Curie Fellowship (2006–2008). He has secured over €4M in third-party funding, leading projects such as SCUDO, CulturalRoad, and PHOEBE. Currently supervising 17 PhD students, he has mentored seven graduates who now hold academic positions at institutions like UCL and UPC. Research interests span autonomous vehicles, traffic resilience, and policy-driven transport solutions. Key projects include analyzing urban air mobility, MaaS potential, and pandemic impact on transport networks. His work contributes to UN Sustainable Development Goals, emphasizing sustainable cities and communities.

Uwe Grünefeldمشاهده پروفایل

استاد مهمان

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Uwe Grünefeld is a Visiting Professor at the Faculty of Computer Science , Institute for Computer Science and Business Information Systems (ICB) of the University of Duisburg-Essen. He has been actively contributing to Human-Computer Interaction research through multiple publications in 2025-2022 focusing on Virtual Reality , Augmented Reality , and Robotics . Research Interests span across immersive technology applications for health behavior change (situated artifacts, weight visualization mirrors), haptic feedback systems (EMS for weight perception, vibrotactile directional cues), and behavioral biometrics (hand tracking identification, gaze-based user recognition). His work addresses cross-reality system design , collaborative robotics , and human-in-the-loop simulation methodologies . Key Publications demonstrate significant contributions to VR/AR user engagement, with particular focus on Physical activity promotion through situated artifacts Advanced haptic feedback techniques for immersive environments Behavioral biometric identification systems Robot motion intent communication Cross-reality transition visualization His research often employs mixed-method approaches combining technical implementations with user studies involving quantitative and qualitative data collection.

Cyriel Dielsمشاهده پروفایل

پژوهشگر

• Human Factors in Automotive Design
• Transport Psychology
• Human-Machine Interaction
• +۴ مورد دیگر

Cyriel Diels is a researcher at the Royal College of Art's Intelligent Mobility Design Centre (IMDC) , focusing on automotive and transport design at the intersection of human factors, technology, and sustainable mobility. His career spans academia (Coventry University, RCA) and industry (Jaguar Land Rover, Transport Research Laboratory). Expertise : Human-machine interaction in automated vehicles, motion sickness mitigation, passenger experience design Key Projects : DOMUS (EU), SIMUSAFE (EU), UK CITE (Innovate-UK) Recent research explores motion discomfort alleviation through design interventions and adaptive HMI solutions in autonomous vehicles. Funded by European Commission, Innovate-UK, and automotive industry partners, his work combines cognitive psychology with applied transport design . Publications analyze: Simulator sickness management Visual-motion cue conflicts Seating appearance effects on comfort Warning sign design for vehicle interfaces Multi-axis motion sickness mechanisms Automated driving trust compatibility Current students include Yi Li, Pooya Sareh, Robin Severs, and Selin Zileli. Collaborative projects span future cities , intelligent mobility , and human-centered vehicle design .

Cynthia H.Y. Fuمشاهده پروفایل

استاد

• Major Depressive Disorder Neuroimaging
• Biomarker Development for Depression
• Transcranial Direct Current Stimulation (tDCS)
• +۵ مورد دیگر

Professor Cynthia H.Y. Fu is a leading researcher in the Department of Psychology & Human Development at the University of East London's School of Childhood and Social Care. She serves as an Honorary Consultant Psychiatrist at the South London and Maudsley NHS Foundation Trust and holds a Visiting Professor position at the Centre for Affective Disorders, King's College London. Her research focuses on identifying brain regions affected by depression and how they change with various treatments including talking therapies, antidepressant medication, and neurostimulation techniques like transcranial direct current stimulation (tDCS). Professor Fu pioneered work demonstrating that neural activation patterns during sad facial processing can accurately diagnose depression in individual patients and predict treatment response. Her research has direct translational potential in developing biomarkers for diagnosis and prognosis based on brain imaging. Professor Fu's work spans multiple disciplines including affective neuroscience, computational psychiatry, and neuromodulation. Her recent publications reveal strong trends in applying machine learning to neuroimaging data for depression classification, investigating home-based tDCS treatment protocols, and exploring the relationship between physiological markers and psychological states in real-world contexts like driving and commuting. British Association for Psychopharmacology Award National Alliance for Research in Schizophrenia and Depression (Brain & Behavior Research Foundation) Award Professor Fu has secured significant research funding from major organizations including the Medical Research Council, Wellcome Trust, GlaxoSmithKline, and Eli Lilly. Her work regularly appears in top-tier journals and is consistently cited among the most influential publications in psychiatry. She leads research investigating how brain responses can predict individual treatment responses, potentially enabling personalized depression treatment approaches. Her laboratory focuses on multimodal neuroimaging approaches combined with machine learning to identify neural signatures of depression and treatment response. Current projects include home-based tDCS treatment protocols with remote supervision, biomarker development for predicting antidepressant response, and computational approaches to understanding stress responses in everyday contexts.

Orit Shaerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Human-AI Collaboration
• Tangible and Embodied Interaction
• +۵ مورد دیگر

Orit Shaer is a Professor and co-Chair of Computer Science at Wellesley College , where she founded and directs the Human-Computer Interaction (HCI) Lab . Her work bridges tangible interaction, human-AI collaboration, and mixed-reality interfaces, focusing on transforming work and learning environments through embodied technologies. Education : B.A. from Academic College of Tel-Aviv, M.S. and Ph.D. in Computer Science from Tufts University Research interests center on novel human-computer interaction paradigms : Human-AI collaboration frameworks Tangible and embodied interface design Mixed-reality applications for productivity Genomics collaboration tools STEAM education technologies Recent publications highlight human-AI co-creation (CHI 2024), temporal dynamics in automated work (CHIWork 2024), and pandemic-era remote interaction studies (IEEE Pervasive Computing 2021). Awarded: NSF CAREER Award Agilent Technologies Research Award Google App Engine Education Award Pinanski Prize for Excellent Teaching Best Paper Honorable Mention (ACM CHI 2014) Honorable Mention (CHIWork 2022) She co-founded the international CHIWork Symposium and chairs the ACM TEI conference. Her NSF IRES grant (2022) supports US-German collaboration on human-automation interaction.

• Customer Experience Management
• Services Marketing
• Consumer Behavior
• +۷ مورد دیگر

Professor Jamie Carlson is a Professor of Marketing and Deputy Head of School - Research at the Newcastle Business School, University of Newcastle. His expertise lies at the intersection of marketing, consumer behavior, and technology, with a focus on how organizations can better engage customers in increasingly digital environments. He has held significant leadership roles including Assistant Dean Research and Engagement (2018-2020) and Head of Marketing Discipline (2017-2018). Professor Carlson's educational background includes: PhD (Management) from the University of Newcastle Bachelor of Business (Honours) from the University of Newcastle Bachelor of Business from the University of Newcastle Professor Carlson's research program focuses on customer experience management, particularly at the customer-technology interface. His work spans three core areas: understanding customer engagement with physical and virtual channels, examining service design and consumer behavior in service industries, and investigating consumer adoption of e-health services. He emphasizes how consumers actively shape their consumption journeys, seeking both individualized and communal brand experiences across touchpoints, and how technology both creates value and presents challenges for consumer well-being. An analysis of Professor Carlson's recent publications reveals a strong emphasis on digital transformation in marketing, with particular focus on omnichannel retailing, metaverse applications, social media engagement, and the psychological aspects of consumer behavior in digital environments. His work demonstrates increasing interdisciplinary collaboration, connecting marketing with information systems, psychology, and healthcare domains to address complex consumer behavior questions in our technology-driven world. Professor Carlson has received numerous prestigious awards for his scholarly contributions: 2025 Jay Lindquist Best Conference Paper Award at the Academy of Marketing Science World Marketing Congress 2023 Best paper in Digital and Social Media Marketing Track at Academy of Marketing Multiple Top Cited/Downloaded Article recognitions from International Journal of Information Management (2022) 2022 Best paper award in the Australasian Marketing Journal Multiple best paper awards at Academy of Marketing conferences (2014-2017) 2010 Vice-Chancellor's Citation for Outstanding Contribution to Student Learning As a principal supervisor for PhD, DBA, and Honours students, Professor Carlson has mentored numerous successful researchers who have gone on to academic positions at institutions worldwide including Maastricht University (Netherlands), Dortmund University (Germany), Macquarie University, UTS, and the University of Adelaide. His students have received faculty medals, best paper awards, and the prestigious Arizona State University Center for Service Leadership Research Scholarship. His supervision focuses on customer engagement in digital media, service experience management, relationship quality, emotional appeals in advertising, and drivers of group travel behavior. Professor Carlson's research is conducted through multinational and interdisciplinary collaborations aligned with the Australian government's 'Growth Through Innovation' agenda and the UN Sustainable Development Goals. His work connects marketing with information systems, psychology, and healthcare to develop frameworks for understanding e-service quality, online flow experiences, customer engagement, and value creation in digital environments.

Saidi Siuhiمشاهده پروفایل

دانشیار

• Transportation Engineering
• Traffic Safety
• Transportation Planning
• +۳ مورد دیگر

Dr. Saidi Siuhi serves as an Associate Professor of Civil Engineering at South Carolina State University, where he teaches undergraduate and graduate courses while conducting research and providing institutional service across departmental and university levels. His academic credentials include: Ph.D. in Civil Engineering from the University of Nevada, Las Vegas (2009) M.Sc. in Civil Engineering from Florida State University (2006) B.Sc. in Civil Engineering from the University of Dar-es-Salaam (2003) Specializing in transportation engineering, Dr. Siuhi's research focuses on traffic safety, transportation planning, and microscopic traffic simulation. His work addresses critical transportation challenges including distracted driving/walking behaviors, traffic management during special events (notably the 2017 solar eclipse), and the application of advanced computational methods to transportation networks. He integrates emerging technologies like virtual reality, machine learning, and deep learning to develop innovative safety solutions for complex transportation systems. Analysis of his recent publications (2021-2025) reveals a strong trajectory toward computational transportation safety, with increasing emphasis on AI-driven solutions for pedestrian safety, driver behavior analysis, and infrastructure monitoring. His work consistently bridges theoretical transportation models with practical safety applications, particularly in distracted behavior analysis and event-based traffic management. Dr. Siuhi actively mentors students through senior design projects (CE 459/460) and graduate coursework, though specific advisee names aren't documented. His service contributions span departmental, college, and university committees, supporting academic operations and strategic initiatives within the engineering program.

Amanda Stephensمشاهده پروفایل

پژوهشگر ارشد

• Driver Psychology
• Road Safety
• Aggressive Driving
• +۴ مورد دیگر

Amanda Stephens serves as a Senior Research Fellow at Monash University Accident Research Centre (MUARC), Australia’s largest multidisciplinary research hub for injury prevention in transport. With over a decade of international road safety experience across England, Scotland, and Ireland, she joined MUARC in 2013 and has established herself as a leading expert in driver psychology, particularly regarding aggressive and anti-social driving behaviors. Her work bridges academic research with real-world policy implementation through active engagement with government bodies and industry stakeholders. Stephens' research program centers on psychological mechanisms behind risky driving, with emphasis on emotional regulation during transport, workplace driving safety, and compliance with road rules. She investigates how stress, anxiety, and anger manifest in driver behavior, developing evidence-based behavior modification programs for fatigued and emotionally compromised drivers. Her expertise extends to human factors in automated vehicle systems and distraction prevention across diverse road user groups. Recent publications reveal strong thematic consistency in Stephens' work, with 2025 outputs focusing on psychological determinants of road safety including driver drowsiness in automated vehicles, technology-induced distraction in cycling, national patterns of aggressive driving, and community acceptance of alcohol detection technologies. Her research consistently integrates human factors perspectives with practical interventions, demonstrating growing emphasis on emotional regulation frameworks and cross-cultural applicability of safety programs. Scientific recognition includes: Advancing Women's Research Success Grant (2019) Best Paper Award - Researcher (2023) Best Research Paper 2019 (2019) Best Research Paper 2021 (2021) MUARC 2024 Seeding Grant for autonomous driving research (2024) Stephens actively supervises PhD candidates in driver behavior psychology and leads substantial research funding through 21 projects including major initiatives on automated vehicle implementation for high-risk drivers (2025-2027), Road Rule 79A effectiveness evaluation (2024-2026), and national driver distraction roadmaps. Her collaborative approach involves partnerships with government agencies, industry stakeholders, and international research teams to address complex transport safety challenges. As a core member of MUARC's multidisciplinary team, Stephens contributes to Australia's premier road safety research ecosystem through regular media commentary (31 press appearances), public seminars on driver psychology, and advisory roles with Road Safety Education Limited. Her work directly translates research findings into judicial education programs, corporate safety policies, and public awareness campaigns addressing emotional and fatigued driving.

• Human Factors Engineering
• Neuroergonomics
• Robotic Surgery
• +۳ مورد دیگر

Denny Yu is an Associate Professor at the Edwardson School of Industrial Engineering, Purdue University. His work bridges human factors, neuroergonomics, and healthcare safety through advanced sensor systems and AI. Primary Affiliation : Edwardson School of Industrial Engineering, Purdue University Research Themes : Surgical ergonomics, autonomous vehicle human factors, cognitive workload assessment, multimodal physiological sensing Dr. Yu's research focuses on neuroergonomics and human-robot interaction , particularly in surgical and transportation contexts. His team develops sensor-based systems for workload monitoring, including: EEG-eye tracking fusion for situation awareness Wearable exoskeletons for surgical posture support Computer vision tools for lifting task risk analysis Smart infusion pump usability frameworks AI-driven surgical coaching systems Recent publications emphasize deep learning applications in soft tissue deformation estimation and real-time adaptive systems for robotic surgery augmentation. His work spans both occupational health (veterinary surgeons, airport workers) and medical device innovation domains.

Luis Miguel Bergasaمشاهده پروفایل

استاد

• Perception Systems
• Autonomous Vehicles
• Deep Learning
• +۴ مورد دیگر

Luis Miguel Bergasa is a Full Professor at the Department of Electronics, University of Alcalá (UAH), with a career spanning over 25 years. He leads the RobeSafe Lab (since 2010) and serves as Director of Digital Transformation at UAH (since 2022). His academic roles include heading the Department of Electronics (2004–2010) and coordinating multiple educational programs. He teaches Perception Systems (Master in Industrial Engineering) Intelligent Control Systems (Computer Science) Computer Vision (Computer Science) His research focuses on Perception Systems for Intelligent Vehicles , emphasizing driver behavior analysis, scene understanding, and sensor fusion via deep learning. He has authored over 300 papers and holds 9 patents. Notable recognitions include being ranked #81 in Computer Science (Spain) by Research.com (2025) and receiving 30+ awards in Robotics/Automotive fields. Recent publications highlight advancements in Transformer-based driver action recognition (2025) Infrastructure-vehicle cooperative frameworks (2025) 3D semantic segmentation for autonomous perception (2024) Simulation-to-reality gap bridging (2024) Scientific Leadership Senior Editor, IEEE Transactions on ITS (2025) International Program Committee roles in 15+ conferences (2024–2025) Co-founder of Vision Safety Technologies Ltd (2009–2016) He supervises 9 active PhD students and has advised 14 former PhD candidates. His group collaborates with institutions in Germany, USA, China, and Spain, including KIT, UC Berkeley, and Northwestern Polytechnic University.