جستجوی استاد راهنمای دانشگاهی

• Sensor Technology
• IoT Applications
• Mechanical Engineering
• +۴ مورد دیگر

Prof. Dr. Gerd Simons is Head of the FHNW Institute for Sensors and Electronics and a Lecturer in Measurement and Sensor Technology at Fachhochschule Nordwestschweiz FHNW. His career spans academia and industry, including roles at Kistler Instrumente AG, Baumer Electric AG, and Jaquet Technology Group. He holds a PhD in Mechanical Engineering from ETH Zurich (2005), focusing on mechanical size effects in copper foils, and a Master's in Mechanical Engineering from ETH Zurich (1998). Research interests include sensor technology, IoT applications, microstructure analysis of metals, and mechanical behavior of thin foils. His work combines experimental mechanics with materials science, particularly in copper foil tensile testing and MEMS material characterization. Recent projects involve high-order dynamic mode decomposition for vibration analysis and weigh-in-motion sensor systems. Publications span peer-reviewed journals (e.g., Materials Science and Engineering A) and conference proceedings, focusing on sensor technology, material characterization, and size effects in thin materials. He has supervised theses on copper foil mechanics and holds patents on sensor mounting techniques. Labs/teams: Leads the Sensors & Electronics Institute, collaborating with industry partners like Kistler and Augsburg University. Active in strategic R&D for automotive and agricultural sensor applications.

Mi Geum Chorzepaمشاهده پروفایل

استاد

• Civil Engineering
• Structural Engineering
• Infrastructure Sustainability
• +۳ مورد دیگر

Mi Geum Chorzepa is a Professor at the University of Georgia, specializing in civil infrastructure, smart materials, and structural engineering. Her work focuses on advancing bridge and pavement engineering through innovative materials and data-driven solutions. She leads the UGA STRENGTH Laboratory, which develops sustainable infrastructure solutions and applies machine learning to infrastructure management. Key areas include UHPC (Ultra-High-Performance Concrete) applications, bridge asset valuation, and predictive modeling of structural performance. Her research integrates machine learning for time-series analysis of bridge conditions and anomaly detection in traffic data. She collaborates with GDOT on projects involving recycled materials, pavement design, and training modules for software adoption in infrastructure management. Her contributions span geotechnical analysis, risk assessment for coastal bridges, and forensic investigations of pavement failures. Recent work emphasizes sustainability metrics for county bridges, dynamic load mitigation, and thermal behavior in skewed bridges. She has developed frameworks for predicting bridge lifecycle performance and optimizing maintenance strategies using contingency tables and game theory approaches. Her lab’s efforts include the Engineering Research and Education Center in Athens, GA, where advanced materials testing and structural health monitoring are conducted. Training programs and collaborative projects with industry partners underscore her commitment to bridging academic research with practical engineering applications.

Stephan Durhamمشاهده پروفایل

استاد

• Civil Engineering
• Infrastructure Management
• Sustainable Materials
• +۳ مورد دیگر

Stephan Durham is the Assistant Dean for Student Success and Outreach and holds the Juneau Construction Company Professorship in Civil Engineering at the University of Georgia. He is affiliated with the School of Environmental, Civil, Agricultural & Mechanical Engineering. His work focuses on civil engineering innovations, urbanization challenges, and engineering failures. Research interests include sustainable materials for construction, pavement design, bridge asset management, and the use of recycled materials in infrastructure. He leads interdisciplinary projects funded by GDOT and other agencies, with a strong emphasis on practical applications in transportation and environmental resilience. Dr. Durham has received the Georgia ASCE President’s Award for his contributions to the field. His research integrates advanced technologies like machine learning and deep learning for traffic analysis and material characterization. He collaborates closely with industry partners to translate academic findings into actionable solutions for public infrastructure challenges. His academic leadership includes advancing student success initiatives and outreach programs. He has developed training modules for agency-wide software programs and contributed to policy frameworks for sustainable construction practices. Dr. Durham’s lab focuses on innovative materials testing, forensic pavement analysis, and disaster-resilient infrastructure design.

Sung-Hee Kimمشاهده پروفایل

استاد

• Civil Engineering
• Transportation Engineering
• Geotechnical Engineering
• +۳ مورد دیگر

Sung-Hee Kim, Ph.D., P.E., is a Professor at the University of Georgia, specializing in civil and transportation engineering. Her work focuses on advancing infrastructure assessment through innovative technologies like ground-penetrating radar (GPR), machine learning, and IoT systems. Key research areas include pavement design, subsurface anomaly detection, and sustainable materials for transportation systems. She has received the Georgia Engineer of the Year award for her contributions to civil engineering. Dr. Kim's research integrates data-driven approaches with traditional civil engineering practices, addressing challenges in material characterization, infrastructure monitoring, and risk management. Her projects often involve developing practical solutions for pavement performance evaluation and bridge load analysis. She has collaborated on training modules to enhance agency-wide software adoption and contributed to the mechanistic-empirical design of pavements. Her publications span over two decades, with a recent emphasis on deep learning applications in civil infrastructure, IoT-based soil monitoring, and optimization algorithms for geotechnical testing. She actively serves professional societies, advancing interdisciplinary approaches to civil engineering challenges.

Gokul Dev Vasudevanمشاهده پروفایل

مدرس

• Civil Engineering Materials
• Concrete Durability
• Sustainable Construction Materials
• +۵ مورد دیگر

Gokul Dev Vasudevan is a Lecturer at the University of Georgia's School of Environmental, Civil, Agricultural & Mechanical Engineering, within the Department of Civil Engineering. His research focuses on sustainable construction materials, concrete durability, and performance-based mixture proportioning. He holds a Ph.D. and has authored numerous technical publications since 2015. Education: Ph.D. in Civil Engineering (not specified in text) His work emphasizes reducing concrete's environmental footprint through alternative cementitious systems, optimizing fly ash utilization, and Bayesian modeling for material performance prediction. He has contributed to high-impact projects like the CALTRANS study on portland-limestone cement and pioneered new methods for chloride threshold quantification in reinforced concrete. His articles span durability analysis, carbonation resistance, and carbon-neutral concrete technologies. Recent work (2022-2024) addresses critical chloride thresholds, sustainable mixture design, and service life prediction under CO₂ exposure. No awards or grants are explicitly mentioned, though his technical reports suggest strong industry collaboration. He advises no listed students but contributes to infrastructure resilience through applied research. Labs/teams: Not explicitly stated, but his research aligns with civil engineering materials laboratories at UGA's Driftmier Engineering Center.

Piotr Jaskułaمشاهده پروفایل

دانشیار

• Advanced structure design and analysis of road, airfield and port pavements
• Performance properties of road materials
• Maintenance and recycling of pavements
• +۵ مورد دیگر

Ph.D., D.Sc., Eng. Piotr Jaskuła is an Associate Professor and Vice-Dean for Cooperation at Gdańsk University of Technology's Faculty of Civil and Environmental Engineering. He has held roles including Head of the Department of Transportation Engineering since 2019 and has extensive experience in academic positions since 1995. His research focuses on road pavement design, material performance, and infrastructure maintenance. He has published over 125 articles and serves on multiple national/international committees such as the European Asphalt Technology Association and Polish Academy of Sciences' Highway Engineering section. Education: M.Sc./Ph.D./Habilitation from Gdańsk University of Technology's Faculty of Civil Engineering (1996–2019) Key Roles: Vice-Dean for Cooperation (2024–present), Head of Transportation Engineering Department (2019–present) Research interests include advanced pavement structure analysis, material recycling, and interlayer bonding in asphalt systems. He has received notable awards including the 2020 Medal of the Commission of National Education and multiple Rector Awards.

Wyatt Lloydمشاهده پروفایل

استاد

• Distributed Systems
• Networking
• Cloud Computing
• +۷ مورد دیگر

Wyatt Lloyd is a Professor in the Computer Science department at Princeton University, leading the S* Network Systems (SNS) group with Mike Freedman, Amit Levy, and Mae Milano. His research focuses on distributed systems, networking, and cloud computing, emphasizing consistency models, geo-replication, and fault tolerance. He holds a PhD from Princeton (2013), followed by a postdoc at Facebook and an assistant professorship at the University of Southern California before returning to Princeton in 2017. Education : PhD, Computer Science, Princeton University, 2013 Postdoctoral Researcher, Facebook, 2013–2014 Assistant Professor, University of Southern California, 2014–2017 Research Interests : Lloyd’s work addresses tradeoffs between consistency guarantees and system performance in large-scale systems. Notable projects include TurboDB (NSDI ’24) for skewed workloads, Gryff (NSDI ’20) for consensus-unified storage, and Tectonic (FAST ’21), Facebook’s exabyte-scale filesystem. His group explores causal consistency, read-optimized transactions, and geo-distributed storage solutions. Publications : Recent work spans concurrency control (Natural Concurrency Control, OSDI ’23), caching optimizations (Learning Relaxed Belady, NSDI ’20), and fault-tolerant systems (Speculative Recovery, ATC ’22). These contributions balance strong consistency with high performance. Grants & Recognition : Supported by NSF grants (e.g., CNS Core, CISE), his work addresses modern distributed system challenges. Over 30 students have been advised, contributing to influential projects like Eiger, COPS, and Janus. Labs/Teams : The SNS group at Princeton focuses on systems research, collaborating on projects like the S* Network Systems initiative. Tools developed include Eiger (Apache Cassandra fork) and frameworks for causal consistency and distributed transactions.

Hisham Jashamiمشاهده پروفایل

استادیار

• Transportation Safety
• Human Factors Engineering
• Driving and Bicycling Simulators
• +۵ مورد دیگر

Hisham Jashami is an Assistant Professor in the Department of Civil and Construction Engineering at Oregon State University, part of the College of Engineering. His teaching focuses on undergraduate civil engineering courses such as senior design, pavement design, and highway engineering, emphasizing active learning and communication skills. He is a certified Road Safety Professional Engineer with expertise in transportation safety, autonomous vehicles, and data-driven methodologies. Dr. Jashami’s research explores multimodal intersection safety, driver-bicyclist interactions, and innovative traffic control systems, supported by grants from agencies like the Federal Highway Administration and state DOTs. His work integrates driving and bicycling simulators to assess safety and user behavior, aiming to improve connected and automated transportation systems. He holds a Ph.D. in Civil Engineering from Oregon State University, with minors in Statistics and additional degrees from institutions in Turkey and Iraq. Notable contributions include over 100 peer-reviewed publications and technical reports, focusing on intersection design, traffic data validation, and safety interventions. His research addresses emerging challenges in urban mobility, including commercial vehicle loading zones and bicycle infrastructure safety. Educations: Ph.D., Civil Engineering, Oregon State University Ph.D. Minor, Statistics, Oregon State University MEng, Civil Engineering, Oregon State University M.S., Civil Engineering, Gaziantep University B.S., Civil Engineering, Al-Mustansiriyah University Research & Grants: Projects include evaluations of dynamic speed feedback systems, right-turn crash severity models, and the integration of bicycles into automated transportation networks. He collaborates on initiatives funded by FHWA, NHTSA, and PacTrans, addressing topics like work zone safety, roundabout design for commercial vehicles, and pedestrian call systems. Key outcomes include design guidelines for commercial vehicle envelopes, low-noise rumble strips, and flashing yellow arrow signal comprehension studies. Awards & Recognition: Certified Road Safety Professional Engineer. Labs & Teams: Active in the Transportation Research Group at Oregon State, contributing to cutting-edge studies on connected vehicle data validation and multimodal infrastructure optimization.

Ziho Kangمشاهده پروفایل

دانشیار

• Human Factors
• Human-Systems Engineering
• Eye Tracking
• +۶ مورد دیگر

Ziho Kang is an Associate Professor in the Department of Industrial & Systems Engineering at the University of Oklahoma. His research focuses on human factors, human-systems engineering, and human-computer interaction, with applications in aerospace, healthcare, and education. He holds a Ph.D., M.S., and B.S. in Industrial Engineering from Purdue University and Korea University, respectively. Dr. Kang's work emphasizes developing algorithms to analyze complex biometric data such as eye movements and haptic interactions. His research domains include eye tracking, biometric analytics, virtual reality, and training methodologies. Key application areas include air traffic control, offshore energy operations, and educational technologies. His recent articles explore virtual reality learning systems, eye tracking frameworks for safety improvement, and multimodal analysis of human performance in dynamic environments. These studies reflect his focus on integrating human factors into technology design to enhance safety, efficiency, and learning outcomes. Awards: NSF CAREER Award, Hutchinson Medal, IEEE Andrew P. Sage Best Paper Award Experience: Postdoctoral training at University of Virginia and Drexel University; industry roles at Korea Stocks & Futures Exchange and Samsung Data Systems Labs: Directs a research lab focused on human factors and biometric analytics

Thanopoulos Pavlosمشاهده پروفایل

استادیار

• Structural Engineering
• Seismic Design
• Steel Structures
• +۳ مورد دیگر

Pavlos Thanopoulos is an Assistant Professor at the Structural Engineering Department of the National Technical University of Athens (NTUA). He holds a Civil Engineering Diploma (1999) from NTUA, an MSc in Structural Steel Design from Imperial College London (2000, with distinction and the Dowling Award), and a PhD from NTUA (2006) focusing on seismic behavior of steel structures with energy absorption systems. His research emphasizes steel structures, seismic design, bridge engineering, and finite element analysis. He has worked at a major engineering consultancy (2006–2014), specializing in steel and composite structures. Since 2014, he lectures on steel structure design methods and continues consulting on steel and bridge projects. His publications span experimental and numerical studies on steel connections, seismic performance, and composite bridges, with a focus on innovative energy-dissipating systems like INERD and FUSEIS. Key contributions include developing practical design guidelines for seismic-resistant steel connections and assessing seismic fragility of bridges. He collaborates on international projects like the INNOSEIS initiative, advancing resilient structural systems. His work is published in journals like International Journal of Steel Structures and Soil Dynamics and Earthquake Engineering .

• Biomedical Engineering
• Driver Behavior
• Human Factors in Transportation
• +۵ مورد دیگر

Christer Ahlström is an Adjunct Associate Professor at the Department of Biomedical Engineering, Linköping University. His research bridges biomedical engineering and transportation safety, focusing on human factors in driver behavior and automated vehicles. His research interests include: Driver attention and fatigue Human factors in transportation Sleepiness detection systems Eye gaze and glance behavior analysis Automated shuttle operator experience Alcohol and cognitive impairment in driving The recent publications (2023–2025) demonstrate a consistent focus on driver state monitoring, particularly fatigue and attention, using real-world and simulator studies. His work often involves interdisciplinary collaboration and contributes to the development of driver drowsiness and attention warning systems. While no scientific awards are listed, his publications appear in high-impact journals such as Transportation Research Part F and Journal of Sleep Research . He collaborates extensively with researchers like Anna Anund and Katja Kircher. He advises no listed students, but his work likely involves graduate-level supervision given his publication activity. His research is applied in transportation safety and human-machine interaction domains, particularly in developing safer driver assistance technologies. He is affiliated with the Division of Biomedical Engineering (MT), a national center for research and innovation in biomedical engineering at Linköping University.

• Accident Prevention
• Adolescent Development
• Behavioral Medicine
• +۴ مورد دیگر

Federico E Vaca is a board-certified emergency medicine physician and physician-scientist at Yale School of Medicine. He holds dual appointments as Professor Adjunct in both the Department of Emergency Medicine and the Child Study Center . His research focuses on occupant safety , adolescent development , and health disparities in motor vehicle crash injuries and alcohol use disorders . Education: MD from Creighton University School of Medicine (1992) MPH from University of California at Los Angeles (2002) Medical Fellowship at NHTSA (2002) Residency and Chief Residency at University of California-Irvine (1995) Fellowship at University of California-San Diego (1996) Research Interests combine emergency medicine , adolescent behavioral medicine , and health equity . His work employs system dynamics modeling to analyze transportation safety and neurocognitive assessment through the Yale Developmental Neurocognitive Driving Simulation Research Center (DrivSim Lab) . Key contributions include understanding cannabis-impaired driving and social-environmental factors influencing young driver decisions. Scientific Awards include the Leffell Prize for Clinical Excellence (2019) National Faculty Teaching Award (2013) AAMC Humanism in Medicine Award (2005) California State Traffic Safety Achievement Award (2007) and membership on the CDC's Board of Scientific Counselors (2017). Dr. Vaca leads NIH-funded research through the National Institute of Child Health and Human Development (NICHD) , National Institute on Alcohol Abuse and Alcoholism (NIAAA) , and NIH Office of Behavioral and Social Sciences Research (OBSSR) . His work spans interdisciplinary collaborations with co-authors in public health , neuroscience , and policy analysis . He actively participates in national committees including the Transportation Research Board and Association for the Advancement of Automotive Medicine .

Shan Baoمشاهده پروفایل

استاد

• Human Factors
• Automated Vehicle Technologies
• Driving Safety
• +۸ مورد دیگر

Shan Bao is a Professor and Chair in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn, with a joint appointment as Research Professor at the University of Michigan Transportation Research Institute (UMTRI) Human Factors Group. She is affiliated with the UM Civil and Environmental Engineering department, UM Robotics Institute, and the Institute of Data Science. Ph.D. in Mechanical and Industrial Engineering, University of Iowa (2009) B.E. in Mechanical Engineering, Hefei University of Technology, China (2000) Dr. Bao specializes in human factors related to connected and automated vehicle technologies, ADAS system evaluation, big data analysis, driving behavior modeling, and vulnerable road user safety. Her research includes algorithm development, statistical modeling, and evaluation of safety technologies. Her recent publications focus on multimodal interfaces for AV accessibility, driver fatigue analysis, pedestrian conflict modeling, and machine learning applications in transportation safety. Grants include projects on global AEB testing harmonization, inclusive AV design, and driver-to-driver communication infrastructure.

Feng Zhouمشاهده پروفایل

استادیار

• Human Factors and Ergonomics
• Human-Computer Interaction
• Engineering Design
• +۷ مورد دیگر

Feng Zhou is an Assistant Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn , affiliated with the College of Engineering and Computer Science . He leads the Design for Human-Machine Systems (DfHMS) Lab , focusing on integrating human cognition and emotion into engineering systems. Education: Ph.D., Mechanical Engineering, Georgia Institute of Technology Ph.D., Human Factors Engineering, Nanyang Technological University M.S., Computer Engineering, Zhejiang University B.S., Computer Engineering, Ningbo University Research Interests include Human Factors , Physiological Computing , Affective-Cognitive Modeling , and User Experience Design for Autonomous Driving Systems , Healthcare Robotics , and Product Ecosystems . His work bridges Engineering Design with Human Behavior Analysis through Machine Learning and Decision-Theoretic Modeling . Recent Publications highlight trends in Autonomous Vehicle UX , Emotion Recognition via Physiological Data , and Adaptive System Design using Quantum-Inspired Algorithms . Articles focus on Social Network Effects , Fuzzy Reasoning Petri Nets , and Trust Modeling in human-machine systems. Advising and Collaborations : Actively recruiting PhD students from Industrial Engineering , Psychology , and Computer Science to join the DfHMS Lab , which also includes current members Jackie Ayoub and Lilit Avetisyan . Research spans Automated Driving , Healthcare Technology , and Emotion-Driven Design .

• Transport Planning
• Urban Mobility
• Human Behavior Modeling
• +۱۳ مورد دیگر

Univ.Prof. Dr. Yusak Susilo is a Professor at the Institute of Transport Engineering , University of Natural Resources and Life Sciences, Vienna (BOKU). He holds a Doctor of Engineering from Kyoto University and has previously served as Full Professor at KTH Royal Institute of Technology, Senior Lecturer at University of the West of England, and Visiting Professor in Indonesia, Malta, and the Netherlands. His research focuses on transport and urban planning, human behavior modeling, agent-based simulations, and equity in mobility systems. Education : Doctor of Engineering (Kyoto University, Japan, 2005); Master of Engineering in Transportation Engineering (Bandung Institute of Technology, Indonesia, 2000); Bachelor of Engineering (Maranatha Christian University, Indonesia, 1998). His work explores decision-making processes, adaptation to technological innovations, time-use dynamics, and system-level impacts of decarbonization. He leads projects like Shaping E-Roads Efficiency for Freight Automation and UNLOCK15 - Transitionspfade zur 15-Minuten-Stadt . Articles highlight his contributions to understanding automated bus acceptance, micro-mobility, demand-responsive transport, and health impacts of mobility patterns. Scientific awards include the Ars Docendi Sonderwürdigung (2024), Smart Transportation Alliance Innovation Award (2019), and multiple Eric Pas Dissertation competition honors. He has supervised 14 theses, including PhD and Master’s students analyzing SuperApp adoption, micromobility impacts, and automated bus deployment. Prof. Susilo’s projects span sustainable urban development, mobility hubs, and virtual reality applications for transport research. He contributes to editorial boards of journals like Transportation Research Part A and Journal of Transport & Health , and serves as Vice President of the International Association of Travel Behavior Research (IATBR).