جستجوی استاد راهنمای دانشگاهی

• Geoinformatics
• Cartography
• Geodetic Science
• +۵ مورد دیگر

Prof. Monika Sester is a distinguished Professor and Executive Director of the Institute of Cartography and Geoinformatics at Leibniz University Hannover, within the Faculty of Civil Engineering and Geodetic Science. She also serves as Spokesperson for the Leibniz Research Center FZ:GEO and holds multiple leadership roles including Faculty Information Officer (FIO) for the Faculty of Civil Engineering and Geodetic Science, Ombudsman for Good Scientific Practice, and Exchange Coordinator for Geodetic Science and Geoinformatics. Her research focuses on the intersection of geospatial information science, cartography, and urban mobility. Prof. Sester's work spans several key areas: Geospatial data processing and analysis Cartographic representation and visualization Urban mobility and transportation systems Spatial data uncertainty and quality Digital mapping technologies and applications Historical map analysis and interpretation Prof. Sester's recent publications demonstrate a strong focus on applying advanced computational techniques to geospatial problems. Her work shows increasing emphasis on machine learning applications for map analysis, urban mobility optimization, and 3D spatial modeling. She has been particularly active in researching applications of deep learning for historical map interpretation, urban mobility patterns, and spatial uncertainty visualization. Her contributions to the field have been recognized through leadership positions in major research initiatives: Executive Director, Institute of Cartography and Geoinformatics Spokesperson, Leibniz Research Center FZ:GEO Faculty Information Officer, Faculty of Civil Engineering and Geodetic Science Ombudsman for Good Scientific Practice Member of multiple academic committees including the Admissions and Examination Board Prof. Sester actively collaborates with students and researchers across multiple projects focused on geospatial information systems, urban mobility, and cartographic visualization. Her leadership extends to guiding research directions within the Leibniz Research Center FZ:GEO, which brings together interdisciplinary expertise to address complex spatial challenges.

• Transportation Engineering
• Sustainable Infrastructure
• Electric Vehicle Adoption
• +۴ مورد دیگر

Konstantina Gkritza is a Professor of Civil and Construction Engineering at Purdue University, affiliated with the School of Civil Engineering. Her research focuses on transportation infrastructure, electric vehicle adoption, urban mobility systems, and socio-economic impacts of transformative technologies. She has led studies on dynamic wireless charging, autonomous vehicle perceptions, and climate adaptation in transportation networks. Her work integrates advanced analytics like machine learning (e.g., GAN-based forecasting) with policy analysis. Key areas include: 1) EV adoption drivers at ZIP-code levels, 2) shared mobility post-pandemic, 3) infrastructure equity in rural regions, and 4) behavioral intentions toward autonomous vehicles. Recently, she's collaborated with INDOT on infrastructure project efficiency improvements and pilot projects for in-motion charging systems. Research outputs highlight interdisciplinary approaches, combining geospatial analysis, consumer surveys, and agent-based modeling. Current projects examine truck electrification barriers, solar potential-vehicle uptake linkages, and economic resilience through transportation metrics. Her work informs policy decisions at state and national levels, particularly in Indiana's EV strategic planning. Notable methodologies include latent class analysis for mobility perception segmentation and multi-criteria frameworks for infrastructure deployment. She maintains active participation in transportation resilience and sustainability initiatives, with publications spanning over 20 years of impactful research.

Mohammad Razaur Rahman Shaonمشاهده پروفایل

پژوهشگر

• Transportation Engineering
• Traffic Safety
• Crash Data Analysis
• +۴ مورد دیگر

Dr. Mohammad Razaur Rahman Shaon is an Associate Research Scientist at the Connecticut Transportation Institute (CTI), part of the University of Connecticut. Previously, he served as a Senior Research Specialist at the University of Arizona's Department of Civil and Architectural Engineering and Mechanics. He holds a Ph.D. in Transportation Engineering from the University of Wisconsin-Milwaukee, an M.Sc. from South Dakota State University, and a B.Sc. from Bangladesh University of Engineering and Technology (BUET). His research focuses on highway safety, crash data analysis, vulnerable road user protection, intelligent transportation systems, and driver behavior modeling. He has contributed to over 25 peer-reviewed publications and serves as a reviewer for journals like Accident Analysis and Prevention and the Journal of Transportation Engineering. Dr. Shaon’s work emphasizes the intersection of human behavior and safety, particularly in driver decisions and their impact on collision outcomes. His research on autonomous vehicles and pedestrian safety has garnered media attention for enhancing public safety awareness. He has led or co-PI’d numerous projects funded by federal, state, and local entities, addressing systemic safety, automated vehicle integration, and traffic management innovations. His current affiliations include CTI’s CAPLab, CTSRC, and T2Center, where he develops safety tools and evaluates advanced transportation systems. Recent studies highlight trends in autonomous vehicle interaction with pedestrians, E-scooter impacts on bike-sharing systems, and data-driven safety screening methodologies. His work bridges technical advancements with societal needs, aiming to improve transportation infrastructure and user safety through rigorous analysis and policy development.

Hatim Sharifمشاهده پروفایل

استاد

• Environmental Engineering
• Hydrology
• Flood Modeling
• +۷ مورد دیگر

Hatim Sharif serves as Professor in the Department of Civil and Environmental Engineering and Construction Management at The University of Texas at San Antonio's Margie and Bill Klesse College of Engineering and Integrated Design. His research bridges environmental engineering, hydrology, and transportation safety with significant focus on arid and semi-arid regions including Texas and the Middle East. Holding multiple advanced degrees, he directs interdisciplinary projects addressing critical infrastructure resilience challenges. His educational credentials include: Ph.D. in Environmental Engineering, University of Connecticut M.S. in Civil Engineering, Colorado State University B.S. in Civil Engineering, University of Khartoum M.P.H., Texas Health Science Center Professor Sharif's research centers on environmental and civil engineering challenges with emphasis on flood prediction systems , road safety under extreme weather , and remote sensing applications for environmental monitoring . His work integrates hydrological modeling, transportation engineering, and public health to address climate change impacts on water resources and infrastructure. Notable strengths include developing physically-based models for arid regions and analyzing socio-environmental justice dimensions through satellite data. Analysis of his publication record reveals strong interdisciplinary trends combining hydrology, transportation safety, and environmental justice. His recent work increasingly utilizes high-resolution satellite data and radar precipitation products to study extreme weather events, with growing focus on autonomous vehicle infrastructure adaptation and environmental health disparities. Middle Eastern case studies (particularly UAE and Saudi Arabia) feature prominently alongside Texas-based research. His scientific recognition includes: Fulbright Scholar Award (2015-2016) Fulbright Senior Specialist Award (2015) LTHE Scientific Visitor Fellowship, Grenoble (2014) NSF Science Technology Centers Faculty Fellowship (2007) NCAR Advanced Studies Program Faculty Fellowship (2006) NCAR Postdoctoral Fellowship (2002-2004) Professor Sharif serves as Associate Editor for Remote Sensing (MDPI) and the Arabian Journal for Science and Engineering (Springer), demonstrating scholarly leadership. His professional affiliations with AGU, AMS, AWRA, APHA, and ASEE facilitate cross-disciplinary collaboration. While specific grant details beyond his fellowships aren't enumerated, his extensive publication output indicates sustained research funding through federal agencies and international partnerships, particularly with Middle Eastern institutions. His research operates through international collaborations with institutions in Saudi Arabia, UAE, and France, focusing on water-stressed regions. Current initiatives address autonomous vehicle infrastructure adaptation, climate-resilient urban drainage, and environmental justice applications of satellite monitoring, with future work likely expanding into AI-driven hydrological forecasting and integrated transportation-climate models.

• Traffic Safety
• Vehicle Safety Systems
• Naturalistic Driving Data Analysis
• +۳ مورد دیگر

Jordanka Kovaceva is a Researcher at Chalmers University of Technology's Division of Vehicle Safety within the Mechanics and Maritime Sciences school. She has been with the institution since 2015 and is also affiliated with the SAFER Vehicle and Traffic Safety Centre, where she leads a project focused on active safety for vulnerable road users. Her work connects with numerous EU-funded initiatives including SAFE-UP, PROSPECT, and MeBeSafe. Her research centers on traffic safety analysis using naturalistic driving data from major international datasets including euroFOT, UDrive, and SHRP2. She specializes in developing methodologies to analyze real-world crash data with particular emphasis on vulnerable road users such as cyclists and pedestrians. Her work bridges engineering, data science, and human factors to improve active and passive safety systems. Recent efforts focus on micromobility safety, automated emergency braking systems, and the impact of infrastructure design on pedestrian safety in winter conditions. Analysis of her publication trends shows consistent focus on vulnerable road user protection, with increasing attention to micromobility vehicles (e-scooters) in recent years. Her work combines naturalistic driving studies, simulation modeling, and real-world crash data analysis to inform safety system development. She frequently collaborates with international partners across EU projects, demonstrating strong integration of research with practical safety applications. As a project leader within SAFER, she oversees research initiatives addressing active safety for vulnerable road users. Her funding portfolio includes multiple European Commission grants and Swedish Transport Administration projects, reflecting her prominence in traffic safety research. She actively contributes to the development of safety assessment methodologies that bridge academic research and automotive industry applications. Her laboratory work centers around the Vehicle Safety division's facilities at Chalmers, utilizing naturalistic driving data analysis platforms and collaborating with the SAFER research center. She works within interdisciplinary teams that include engineers, data scientists, and human factors specialists to address complex traffic safety challenges through both fundamental and applied research approaches.

• Biomechanics
• Computational Mechanics
• Vehicle Safety Engineering
• +۳ مورد دیگر

Dr. Manuel Valdano is an Assistant Professor at the School of Engineering of Comillas Pontifical University, affiliated with the Institute for Research in Technology (IIT). His expertise lies in computational mechanics and biomechanics, focusing on crashworthiness and vehicle safety engineering using multibody and finite element models. Education: Mechanical Engineering (2018), Universidad Nacional de Rio Cuarto, Argentina Research Interests: Collision biomechanics of vehicle occupants Seatbelt system optimization E-scooter rider safety analysis Finite element modeling of human body responses Certification methods for automotive dummy models Key Projects (2021-2027): Development of High Dynamic Actuator (HDA) for crash simulation (EU-funded) Injury mitigation strategies for Vision Zero initiatives (European Commission) Cervical injury prevention in e-scooter users (Fundación Mapfre) WHO global road safety data analysis (2023) Grants & Collaborations: Línea Directa: Gender biomechanical differences in frontal impacts Autoliv: Simulation and active structures (2023 exchange) CEESAR: New occupant seating positions (2021-2024) Labs/Teams: Affiliated with IIT's Vehicle Safety and Biomechanics research groups, collaborating with Autoliv, WHO, and European automotive safety organizations.

Markus Tatzgernمشاهده پروفایل

استاد

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.

Matthew Baldockمشاهده پروفایل

پژوهشگر ارشد

• Road Safety Research
• In-Depth Crash Investigation
• Impaired Driving
• +۷ مورد دیگر

Dr. Matthew Baldock is a Senior Research Fellow at the University of Adelaide , affiliated with the Faculty of Sciences, Engineering and Technology and the Centre for Automotive Safety Research . With 20 years in road safety research, his work spans in-depth crash investigation, impaired driving, motorcycle safety, and driver distraction. Education : PhD in "Self regulation of the driving behaviour of older drivers" (2004), University of Adelaide. Research Interests : - Road Safety : Medical conditions in crashes, age-related driver/pedestrian risks. - Crash Analysis : In-depth investigations, forensic trauma studies. - Policy Development : Graduated licensing systems, traffic penalties, and infrastructure design. Article Trends : His recent publications focus on medical conditions in crashes, motorcycle safety innovations, pedestrian protection, and forensic biomechanics. Key methodologies include epidemiological analysis and collision dynamics evaluation. Supervision : Eligible to supervise Masters and PhD candidates in road safety disciplines.

Dick de Waardمشاهده پروفایل

استاد

• Traffic Psychology
• Driving Behavior
• Cyclist Safety
• +۴ مورد دیگر

Dick de Waard is a Professor in Clinical Neuropsychology at the Faculty of Behavioural and Social Sciences, University of Groningen. His research focuses on traffic psychology, driver behavior analysis, and neuropsychological aspects of transportation safety. Research interests include cyclist safety, driving simulator studies, impact of medical conditions on driving performance, and automated vehicle-human interactions. His work integrates cognitive psychology with practical transportation solutions. Publications demonstrate consistent focus on traffic safety innovations, with recent trends exploring automated driving systems, AI applications in behavior assessment, and vulnerable road user protection. Research spans human factors engineering, behavioral analysis, and clinical neuropsychology. Research collaborations include national and international projects on traffic safety. Supervised 12 doctoral students and contributed to 7 research datasets in neuropsychology and transportation fields.

Xiaogai Liمشاهده پروفایل

دانشیار

• Biomechanical Engineering
• Neuroimaging
• Traumatic Brain Injury
• +۳ مورد دیگر

Xiaogai Li is an Associate Professor in the Department of Neuronic Engineering at KTH Royal Institute of Technology, Sweden. He is affiliated with the School of Technology and Health (STH) and the Digital Futures interdisciplinary research center. His roles include Co-Principal Investigator (Co-PI) for projects like the AI-based Positioning and Personalization Platform for Human Body Models (HBMs) and Seed funding for large grant proposals. He leads the Rich and Healthy Life working group within Digital Futures. Li holds a PhD in Neuronic Engineering from KTH (2012) and is a Docent in Technology and Health. His research focuses on finite element modeling, neuroimaging, and clinical applications, particularly in traumatic brain injury mechanisms (with emphasis on pediatric cases), forensic diagnosis, and protective strategies. Key projects include the EU-funded PIPER and HEADS ITN initiatives, and collaborations with RISE and Stockholm University. His research integrates computational methods, neuroimaging, and clinical data to advance injury understanding and develop protective technologies. Notable contributions include biomechanical visualizations for child restraint system (CRS) awareness campaigns, which have been adopted by public health practitioners. He also investigates helmet safety standards through finite element simulations and leads efforts in personalizing human body models for accident reconstruction. Education: PhD in Neuronic Engineering, KTH Royal Institute of Technology (2012) Grants: Swedish Research Council (VR) BioLEAP/BioSAVE, Vinnova, STINT, KTH Innovation Labs/Teams: Neuronic Engineering Division, Digital Futures, PIPER EU Project Li teaches courses such as Biomechanics and Neuronics, Simulation Methods in Medical Engineering, and oversees the CRS Awareness initiative, which uses biomechanical visualizations to enhance child safety education. His work bridges engineering and clinical practice, with applications in forensic pathology and public health interventions.

Haohan Wangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Computational Biology
• Healthcare Applications
• +۵ مورد دیگر

Haohan Wang is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, with affiliations to the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing Applications. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications , emphasizing robustness , causality , and interpretability in vision-based models. Recent research trends in his work include: Large Language Model interactions with biomedical challenges (GenoAgent, GenoTex) Adversarial security in language and vision models (Guard, Jailbreakzoo) Genomic data analysis through robust machine learning frameworks (Precision Lasso, Kernel Mixed Models) Interactive toolkits like Robustar for data annotation and model training Scientific awards include recognition as Baidu's Top 50 AI+X Rising Young Scholars (2022), Best Paper Honorable Mention at WSDM 2023, and Broad Institute's Next Generation status (2019). Current projects explore AI-made scientists for biomedical discovery and Robustar development for GUI-based robust vision learning.

Scott Kelleyمشاهده پروفایل

دانشیار

• Transportation Geography
• Spatial Analysis
• Sustainable Transportation
• +۵ مورد دیگر

Scott Kelley is an Associate Professor in the Department of Geography at the University of Nevada, Reno (UNR). His research focuses on transportation geography, particularly the spatial dimensions of emerging transportation technologies and infrastructure. Key areas include hydrogen fuel cell vehicle adoption, automated vehicle usage patterns, and sustainable transportation planning. He teaches courses such as GIS, transportation policy, and advanced cartography using Python. Education: B.S. in Geography, University of Wyoming (2006) M.A. in Geography, Arizona State University (2008) Ph.D. in Geography, Arizona State University (2015) His research emphasizes primary data collection and spatial analytics to inform sustainable transportation policies. Recent work includes studies on near-miss events in Reno-Sparks, climate change impacts on Lake Tahoe visitation, and accessibility for students with disabilities. Methodologically, he bridges geospatial analysis with interdisciplinary approaches like geodesign and ethnography. Awards & Recognition: No scientific awards explicitly listed, though his publications reflect sustained academic contribution. Grants & Advising: While specific grants are not detailed, his research projects suggest involvement in funded initiatives related to infrastructure planning and transportation equity. No advised students are listed in the provided text. Labs/Teams: Collaborates with interdisciplinary teams on projects like SCC-PG (near-miss assessment) and hydrogen infrastructure optimization initiatives in California and Connecticut.

• Artificial Intelligence
• Governance
• China
• +۵ مورد دیگر

Huw Roberts is a doctoral researcher at the Oxford Internet Institute (University of Oxford) and an Associate Fellow at the Royal United Services Institute (RUSI). His research focuses on international AI governance, particularly standards development organizations, with additional affiliations at Saïd Business School and the Tony Blair Institute. Education: MSc, Oxford Internet Institute Yenching Academy, Peking University His research explores critical dimensions of AI governance including: Technical standardization frameworks Digital sovereignty challenges Ethical implementation across sectors Comparative analysis of China and EU/US approaches AI assurance mechanisms Geopolitical implications of digital infrastructure Recent publications examine: AI's role in global health Submarine cable vulnerabilities Circular economy optimization XR safety protocols AI regulatory barriers Hidden harms in algorithmic systems Research funding includes: ESRC Grand Union Doctoral Training Partnership International Standards Organization (ISO) grants Dieter Schwarz Foundation awards

• Road Safety
• Injury Prevention
• Injury Data Analysis
• +۳ مورد دیگر

Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) and a Statistical Consultant at the Victorian Injury Surveillance Unit (VISU). He holds a PhD in Public Health and Honours degrees in Mathematical Statistics and Mechanical Engineering. His expertise spans road safety evaluation, vehicle safety research, data linkage, and injury prevention. He leads and contributes to over 40 research projects, focusing on crash data analysis, countermeasure effectiveness (e.g., speed enforcement, airbags), and trauma trend modeling. D'Elia has authored 68+ publications and received awards for his work, including the 2024 Peter Vulcan Best Paper Award. He advises PhD students and collaborates internationally, contributing to policy through expert submissions to government inquiries. Education: Doctor of Philosophy in Public Health Bachelor of Science (Honours) in Mathematical Statistics Bachelor of Engineering (with Honours) in Mechanical Engineering Research Interests: Angelo’s work centers on optimizing administrative data for injury prevention, evaluating road safety programs (e.g., automated enforcement, vehicle safety tech), and developing advanced statistical models. He emphasizes translating data into actionable insights for policy, such as real-time injury tracking systems and baseline trauma models. Articles Trends: Recent work highlights vehicle safety regulations, injury severity scoring via linked data, and pandemic impacts on road safety. His analyses often combine large-scale datasets with time-series modeling to identify trends and inform policy. Awards: Peter Vulcan Best Paper Award (2024) MIRI Award for Best Early Career Paper (2013) Advising & Grants: Accepts PhD students and leads major grants evaluating NSW automated enforcement programs, crash avoidance technologies, and vehicle safety innovations. Collaborates with MUARC teams and external agencies on road trauma reduction initiatives. Labs/Teams: Member of the Injury Analysis and Data team at MUARC and VISU, focusing on statistical methodologies and interdisciplinary road safety solutions.

Erin O. Sillsمشاهده پروفایل

استاد

• Economic Development
• International Forestry
• Impact Evaluation
• +۵ مورد دیگر

Erin O. Sills serves as Head of the Department of Forestry and Environmental Resources at North Carolina State University (NC State). She holds a B.A. from Princeton University (1990), M.A. and Ph.D. from Duke University (1996, 1998). Her research focuses on markets for non-timber forest benefits, forest-based livelihoods, deforestation dynamics, and impact evaluation. Notable projects include studies on community forestry in Nepal, sociohydrology in the Brazilian Amazon, and energy poverty in Southern Africa. Key research interests span economic development, international forestry, and climate mitigation strategies. She teaches courses such as FOR 414 (World Forestry), NR 595 (Survey Methods), and ES200 (Climate Change and Sustainability). Recent publications address topics like community forestry's role in reducing deforestation, pandemic impacts on timber markets, and carbon offset market integrity. Dr. Sills has secured significant grants including a $981,573 NSF PIRE grant to address energy poverty in Southern Africa and a $648,004 USDA grant evaluating post-pandemic forest economies. Her work emphasizes interdisciplinary collaboration, policy-relevant research, and capacity-building in Global South institutions. Major grants include: Pandemic Impacts on Southern US Forest Economy ($648,004) Energy Poverty Research in Southern Africa ($981,573) Community Forestry in Nepal ($299,776) Amazon Sociohydrology Studies ($195,622) Her research integrates socio-environmental systems analysis, emphasizing feedback loops between human decisions and ecological processes. She leads projects on forest governance, climate policy, and sustainable resource management, with a focus on equitable solutions for marginalized communities.