جستجوی استاد راهنمای دانشگاهی

• Mechanobiology
• Biomechanics
• Microvascular mechanics
• +۵ مورد دیگر

Hans Van Oosterwyck serves as a full Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads the Prometheus-Mechanobiology subdivision and actively contributes to the iSi Health and LIMNI research institutes, driving interdisciplinary work at the engineering-biology interface. His research centers on cellular mechanobiology in vascular and musculoskeletal pathologies, with pioneering work in traction force microscopy and organ-on-chip systems . Key focus areas include cerebral cavernous malformations (CCM) and osteoarthritis, where he investigates how cellular forces and mechanosensitive channels drive disease progression through microfluidic models and computational biomechanics . Analysis of his 2023-2025 publications reveals a dominant trend toward 3D force measurement techniques in disease modeling, particularly using degradable hydrogels for chondrocyte studies and vessel-on-chip platforms for CCM. Over 60% of recent work targets CCM pathomechanics, emphasizing Piezo/TRPV channels and cellular force dynamics. Prof. Van Oosterwyck directs multiple FWO-funded projects including "Cerebrale caverneuze misvormingen op een chip" (2023-2026) and "De relatie tussen osteoarthritis en krachten" (2023-2027). His team develops advanced tools like the Confocal BioAFM nano-opto-mechanical platform for multiscale biological analysis. He heads the Prometheus-Mechanobiology subdivision within KU Leuven's Biomechanics unit, leveraging collaborations through iSi Health for physics-based in silico health modeling and LIMNI for micro-nano technology integration. This ecosystem enables translational research from cellular mechanics to clinical applications.

Sara J. Margolinمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Gerontology
• Reading Comprehension
• +۳ مورد دیگر

Sara J. Margolin is an Associate Professor at SUNY Brockport, specializing in Cognitive Psychology, Gerontology, and Aging Research. Her work explores the intersection of language processing, memory, and technology's impact on aging populations. Education: PhD in Cognitive and Sensory Processes with a Certificate in Gerontology (University of Florida, 2007) M.S. in Cognitive Psychology with emphasis in Statistics and Research Methods (University of Florida, 2005) B.S. (cum laude) in Psychology with Mathematics Minor (University of Florida, 2002) Her research focuses on age-related changes in language and reading comprehension, particularly how misspellings and negation affect young and older adults. She also investigates technology's role in cognitive aging and challenges stereotypes about aging and dementia. Recent publications (2025–2010) span topics like ageism in media, technology's influence on cognition, and aging's impact on memory. Keywords include Cognitive Psychology, Gerontology, and Aging Research, with sub-fields covering Age Simulation, Text Messaging, and Dementia.

• Bioelectronics
• Optoelectronic Cell Control
• Nanostructured Materials
• +۵ مورد دیگر

Vedran Đerek serves as an Associate Professor in the Department of Experimental Physics at the Faculty of Science, University of Zagreb. His research spans bioelectronics, optoelectronic cell control, and nanostructured materials development. His laboratory ( dereklab.phy.hr ) focuses on creating advanced interfaces between biological systems and electronic devices. Dr. Đerek's research interests center on developing bioelectronic interfaces that enable precise communication with biological systems. His work in optoelectronic cell control utilizes light to modulate electrophysiological properties of cells with millisecond precision, enabling new approaches in biomedical research. His expertise in nanostructured and hybrid materials drives innovation in photodetectors and optoelectronic devices, while his spectroscopy work applies high-resolution optical techniques to study material properties and interactions. Numerical modeling using tools like COMSOL Multiphysics forms a critical component of his research methodology for simulating complex bioelectronic systems. His recent publication trend (2018-2024) reveals a strong focus on organic photocapacitors and photovoltaic devices for neural and cardiac stimulation. Key themes include wireless optoelectronic nerve stimulation, chronic neural interfaces, and the fundamental mechanisms of photocapacitive versus photofaradaic stimulation. His work bridges materials science, neuroscience, and biomedical engineering to develop next-generation bioelectronic interfaces with applications in medical devices and fundamental biological research. Dr. Đerek teaches courses in atomic and molecular physics at both undergraduate and doctoral levels, including "Atomska i molekulska fizika" (Atomic and Molecular Physics), "Osnove atomske i molekulske fizike" (Fundamentals of Atomic and Molecular Physics), and doctoral-level "Spektroskopske metode u proučavanju molekulskih vibracija" (Spectroscopic Methods in Molecular Vibration Studies).

Carlos Sunمشاهده پروفایل

استاد

• Transportation Engineering
• Highway Safety
• Intelligent Transportation Systems
• +۷ مورد دیگر

Carlos Sun is a Professor in the Department of Civil and Environmental Engineering at the University of Missouri – Columbia’s College of Engineering. He serves as Director of the construction management programs and Curator of the Missouri Museum of Engineering (ZOUME). His work integrates transportation engineering, simulation technology, and legal frameworks. PhD, MS, and BS in Civil and Environmental Engineering from the University of California-Irvine. JD (Juris Doctor) from the University of Missouri. Dr. Sun specializes in smart work zones, highway safety, intelligent transportation systems, simulators and virtual reality, autonomous and connected vehicles, smart cities, sustainable transportation modes, accessibility, legal issues, and construction management. He leads the ZouSim Lab, which develops federated simulators for bicycling, driving, trucking, wheeling, walking, and e-scootering to study transportation safety and policy. Key projects include J-turn intersection assessments, autonomous truck platooning research, and AI-driven crash prevention datasets. His research funding includes grants from NCHRP, ACRP, SHRP2, NSF, U.S. DOT, FHWA, AGC, U.S. DoED, and state DOTs. He has collaborated with the National Academies of Sciences, Engineering and Medicine on airport signage accessibility. AASHTO High Value Research Award in the Safety, Security and Emergencies Supplemental Category (2022). As a licensed attorney and professional engineer, he bridges engineering and legal domains. The ZouSim Lab, housed in Lafferre Hall, is a hub for training students and conducting risk-free transportation simulations involving autonomous vehicles and multimodal interactions.

James D. Brooksمشاهده پروفایل

استاد

• Human-Automation Interaction
• Control Systems
• Queueing Theory
• +۳ مورد دیگر

James D. Brooks serves as Chair and Professor in the Department of Electrical and Computer Engineering at Grove City College, leveraging 17 years of industry experience from GE Transportation and GE Research to bridge academic theory with real-world engineering applications. His educational credentials include: Ph.D. in Systems Engineering, Rensselaer Polytechnic Institute M.S. in Electrical and Computer Engineering, Georgia Institute of Technology B.S. in Electrical Engineering, Grove City College Research centers on human-automation interaction (examining how control system design impacts operator trust and performance) and queueing systems with human agents (developing mathematical models for systems like hurricane debris removal). This work integrates control theory, human factors, and operations research to solve complex socio-technical problems in transportation and disaster response. Recent publications (2023-2025) reveal dominant trends in railroad automation, with emphases on adaptive vehicle control, distributed systems coordination, safety protocol implementation, and human-machine interface optimization. Key subfields span autonomous train handling, energy management, real-time decision support, and cognitive workload reduction. Notable achievements include: Over 30 issued U.S. patents in vehicle and building automation systems He actively mentors students through senior design projects and industry-collaborative research, emphasizing curiosity, integrity, and deep system understanding. His industry partnerships with Wabtec and legacy GE entities provide students with direct exposure to autonomous vehicle development and building automation challenges. Research initiatives focus on translating theoretical models into deployable solutions, particularly through simulation platforms for industrial prototyping and human factors integration in railroad control systems.

• Electric Vehicles
• Fuel Cell Vehicles
• Plug-in Hybrid Vehicles
• +۳ مورد دیگر

Wei hsiang Yang is an Associate Professor at Waseda University's Environmental Research Institute, Faculty of Science and Engineering. He has been with Waseda University since 2015, initially in the Faculty of Science and Engineering and since 2023 in the Environmental Research Institute. Dr. Yang holds a Doctor of Engineering and a Master of Engineering, both from Waseda University. Dr. Yang's research focuses on sustainable transportation technologies, with particular expertise in: Electric vehicles (buses, trucks, and other heavy-duty vehicles) Fuel cell vehicles and hybrid systems Environmental performance evaluation of alternative fuel vehicles Energy management and optimization for electric transportation Battery technology and thermal management systems His recent work has centered on optimizing speed patterns for electric buses to improve energy efficiency, developing prediction models for electric bus energy consumption, and studying fuel cell hybrid train systems. Dr. Yang's research demonstrates a strong emphasis on practical applications and real-world validation through extensive field testing, including long-term operation tests of electric buses on public roads in Nagano prefecture as part of a project organized by the Japan Ministry of the Environment from 2011 to 2014. Dr. Yang has received multiple awards for his research, including: Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2023) Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2017) Best Presentation Award from the Society of Automotive Engineers of Japan Kanto Branch (2014) Best Paper Award from the Society of Automotive Engineers of Japan Kanto Branch (2014) He has been actively involved in teaching graduate courses related to environment and energy engineering at Waseda University's Graduate School of Creative Science and Engineering and Graduate School of Environment and Energy Engineering. His research has been supported by projects such as "Performance Superior Domain Clarification of Various Electric drive Buses" funded by the Japan Society for the Promotion of Science.

• Biomechanics
• Orthopaedics
• Musculoskeletal Diseases
• +۲ مورد دیگر

Associate Professor Elizabeth Clarke is a biomechanics specialist at the University of Sydney , directing the Murray Maxwell Biomechanics Laboratory at the Kolling Institute of Medical Research. With a PhD in Biomechanics and a background in Mechanical Biomedical Engineering, she has over 15 years of experience in independent research, industry collaboration, and clinical partnerships. Academic Role: Director of Biomechanics Laboratory Key Affiliations: Kolling Institute, Faculty of Medicine and Health Her research spans injury biomechanics, orthopaedic implant testing, and tendon/ligament repair, with a focus on preventing post-traumatic osteoarthritis. Recent work includes developing custom biomechanical testing fixtures and in vivo animal models for musculoskeletal injuries. Scientific Trends across her 2025-2024 articles include: Biomechanical evaluation of fracture fixation devices Spinal cord injury modeling Comparative tendon/ligament property analysis Mechanical load effects on tissue health Grants include funding from the Arthritis Foundation of Australia , Innovative Manufacturing CRC , and AOSpine Asia Pacific for projects like xenograft tendon development and robotic surgical simulation. She teaches the Biomechanics component of Biomedical Engineering courses.

• Experimental Plasma Physics
• Fusion Energy
• Magnetically Confined Plasmas
• +۵ مورد دیگر

Stephanie Diem serves as Professor in the Department of Nuclear Engineering & Engineering Physics within the College of Engineering at the University of Wisconsin-Madison. She leads the Pegasus-III Experiment as Principal Investigator, pioneering innovations in solenoid-free fusion startup techniques to advance commercial fusion energy development. Her work bridges experimental plasma physics, international collaboration, and sociotechnical engagement in fusion energy systems. Dr. Diem's educational background includes: BS in Engineering Physics from University of Wisconsin-Madison MA in Plasma Physics from Princeton University PhD in Plasma Physics from Princeton University (National Spherical Tokamak Experiment research) Her research centers on experimental plasma physics for magnetic confinement fusion, with specialized expertise in radio frequency wave applications for plasma heating and current drive. Current investigations focus on electron Bernstein wave (EBW) physics, non-solenoidal startup via local helicity injection, and edge instability control in spherical tokamaks. This work integrates advanced diagnostics, numerical modeling validation, and international collaborations across facilities including Proto-MPEX (ORNL), MST (UW-Madison), NSTX, and MAST (UK). Analysis of her recent publications reveals strong emphasis on spherical tokamak startup physics, EBW heating systems, and sociotechnical dimensions of fusion development. Key trends include machine learning integration for plasma control, impurity transport during startup, and public engagement frameworks for equitable energy transitions. Her work spans fundamental plasma physics to policy-oriented fusion technology assessment. Notable scientific recognition includes: Kavli Fellow (National Academies, 2025) U.S. Science Envoy for Fusion Energy (2024/2025) David J. Rose Excellence in Fusion Engineering Award (Fusion Power Associates, 2023) New Voices of the National Academies cohort (2021, extended to 2024) Thomas H. Stix Graduate Prize (Princeton University) Dr. Diem actively mentors graduate students through NE 790/890/990 research courses while securing major grants for fusion research infrastructure. Her leadership extends to the Global Fusion Forum initiative and development of sociotechnical readiness frameworks for fusion systems. Current efforts include international collaborations under the PPPL-IAEA practical arrangement and U.S. Department of State science diplomacy initiatives. The Pegasus-III laboratory team develops cutting-edge diagnostics including multi-point Thomson scattering, impurity monitoring systems, and EBW emission measurements. The facility serves as a testbed for scalable startup techniques with partnerships spanning Oak Ridge National Laboratory, General Atomics, and international fusion centers.

• Automotive Engineering
• Motion Planning and Control
• Connected and Automated Vehicles
• +۶ مورد دیگر

Abdel Ra'ouf Mayyas is an Associate Professor at The Polytechnic School of Arizona State University (ASU), specializing in Automotive Engineering. He is affiliated with the Human Systems Engineering (HSE) PhD program as a graduate faculty member and served as the lead faculty advisor for the ASU-Advanced Vehicle Technology Competitions (EcoCAR 3) from 2014-2018. Education: Ph.D. in Automotive Engineering (2010), Clemson University M.S. in Computer Engineering (Embedded Systems) (2006), Yarmouk University B.S. in Mechanical Engineering (Automotive) (1996), Mu’ta University His research focuses on autonomous driving, advanced driver assistance systems (ADAS), model predictive control (MPC) for energy management in urban autonomous fleets, V2V/V2I applications for smart cities, human-centric vehicle safety systems, and thermal modeling of connected powertrains. He has contributed to vehicle hardware-in-the-loop (VHiL) testing and energy optimization of automated vehicles. Mayyas has led funded projects by the U.S. Army Automotive Research Center, Toyota Motor Corp, and Salt River Project (SRP) for battery performance evaluation in hot climates. His work appears in journals like Energy Research , Applied Energy , and Journal of Power Sources . Labs: Autonomous Collaborative Research Laboratory Connected Powertrains Laboratory Vehicle Hardware In-the-Loop (VHiL) Laboratory Advanced Vehicle Technology Competitions (AVTCs) Laboratory

William C. Garrison IIIمشاهده پروفایل

مدرس

• Computer Science
• Access Control Systems
• Web Privacy
• +۴ مورد دیگر

William C. Garrison III serves as a Lecturer in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. Holding a PhD in Computer Science from the University of Pittsburgh (2015), his work has been recognized with a runner-up distinction for the ACM SIGSAC Doctoral Dissertation Award. His research focuses on application-aware access control evaluation, web privacy, and technology-induced distracted driving, with a particular emphasis on cybersecurity education for undergraduates. Research Interests: Access control evaluation frameworks Usability in security systems Web privacy mechanisms Cybersecurity education Human-computer interaction in security Distracted driving technology Scientific Awards: ACM SIGSAC Doctoral Dissertation Award Runner-up Mentor-Mentee Evidence-Based Teaching Award (with Adam J. Lee) Innovation in Education Award (with Nicholas L. Farnan) Academic Contributions: Summer Undergraduate Research Awards mentoring Curiosity Grant projects supervision Journal reviewing for IEEE Transactions on Dependable and Secure Computing and ACM Transactions on Privacy and Security Conference reviewing for Privacy Enhancing Technologies Symposium

Marjan Hagenziekerمشاهده پروفایل

استاد

• Traffic Safety
• Road User Behavior
• Distraction in Traffic
• +۳ مورد دیگر

Marjan Hagenzieker is a Professor at Delft University of Technology (TU Delft) in the Department of Transport & Planning under the Faculty of Civil Engineering and Geosciences. She holds a PhD from Leiden University and specializes in traffic safety, particularly focusing on road user behavior, distraction, vulnerable road users (e.g., cyclists, elderly), and interactions between road users and automated vehicles. Her research integrates psychological and engineering perspectives to improve road safety. **Education**: PhD in Experimental Psychology (Leiden University), MSc in related fields (not explicitly stated). **Research Interests**: Road safety effects of transport systems, driver/road user behavior, automated vehicles, road infrastructure design, and cyclist/pedestrian safety. She leads the Traffic and Transportation Safety Lab and supervises numerous PhD students, including recent works on automated vehicle HMIs, cyclist interactions, and freeway curve safety. **Teaching**: Courses include Traffic Safety and contributions to the online Delft Road Safety Course. She also teaches modules in the Master of Transport, Infrastructure, and Logistics (TIL) program. **Recent Projects**: Co-investigator in SAMEN (mixed traffic automation), AfroSAFE (road safety in Africa), and MEDIATOR (driver-automation mediation). She is an editorial board member of Transportation Research Part F and IATSS Research . **Grants & Labs**: Involved in EU-funded projects and part of TU Delft’s DAIMoND Lab and Automated Driving & Simulation Lab. Ancillary roles include membership in the CBR Supervisory Board (2024–2026).

Wei-Chiu Maمشاهده پروفایل

استادیار

• 3D Computer Vision
• 4D Computer Vision
• Robotics
• +۵ مورد دیگر

Wei-Chiu Ma is an Assistant Professor of Computer Science at Cornell University, where he leads research at the intersection of 3D/4D computer vision and robotics. His work focuses on building AI systems that can understand, reconstruct, and re-simulate our dynamic world to enable more robust autonomous systems and advance entertainment applications. Prior to joining Cornell, Dr. Ma was a Young Investigator/Postdoc at AI2 / University of Washington. He received his Ph.D. from MIT, working with Antonio Torralba and Raquel Urtasun. Before his Ph.D., he was a Senior Research Scientist at Uber ATG R&D and Waabi working on self-driving vehicles, and completed his M.S. in Robotics at Carnegie Mellon University under the advisement of Kris M. Kitani. Dr. Ma's research interests span several interconnected areas in computer vision and robotics: 3D/4D Computer Vision: Focused on scene reconstruction, modeling, and understanding from visual inputs Neural Radiance Fields (NeRF): Developing techniques for novel view synthesis and scene representation Robotics and Simulation: Creating realistic sensor simulation for autonomous systems Digital Twins: Building interactive, game-engine compatible virtual environments Self-Driving Technology: Working on scene flow estimation, sensor simulation, and vehicle localization His recent publications demonstrate a strong focus on pushing the boundaries of 3D scene understanding, with particular emphasis on extreme-view geometry, neural rendering techniques, and creating realistic simulations for autonomous systems. His work often bridges theoretical computer vision with practical applications in robotics and autonomous vehicles. Dr. Ma has received several notable recognitions including being selected as a Cyber-Physical Systems (CPS) rising star and a Siebel Scholar. He has also earned the Best Application Award for his work on TDTOS: T-Shirt Design and Try On System. As an educator and mentor, Dr. Ma is actively involved in guiding the next generation of researchers. He hosts pro bono office hours for students from underrepresented groups and is committed to fostering diversity in the field. He is currently building his research group at Cornell and plans to hire 1-2 graduate students during the 2024-25 cycle. Dr. Ma has organized several influential workshops including the "Synthetic Data for Computer Vision" workshop at CVPR 2025, the "Agent in Interaction, from Humans to Robots" workshop at CVPR 2025, and the "3D Modeling, Reconstruction, and Generation in the Wild" workshop at ECCV 2024, demonstrating his leadership in the computer vision community.

• Neuroergonomics
• Human-Machine Interaction
• Human Factors
• +۳ مورد دیگر

Dr. Julian Elias Reiser is a Research Fellow in the Experimental Ergonomics and Stress & Work Design group at the Leibniz Research Centre for Working Environment and Human Factors (IfADo), affiliated with TU Dortmund University. His work focuses on applying mobile neuroimaging techniques, particularly EEG, to assess cognitive workload and human performance in real-world settings such as driving and walking. His educational background includes: PhD in Psychology (2020) from TU Dortmund University, with a thesis titled "Neuroergonomics in the wild - Workload assessment using mobile EEG" M.Sc. Psychology from the University of Ulm (2016) B.Sc. Business Psychology from Leuphana University Lüneburg (2014) Dr. Reiser's research interests lie at the intersection of neuroscience and human factors. He investigates how cognitive processes unfold during complex tasks in natural environments, using mobile EEG and eye-tracking to measure workload, attention, and operator state. His work aims to improve human-machine interaction and workplace design by providing objective neurophysiological measures of mental effort. His recent publications (2023-2025) highlight a strong emphasis on real-world applications of neuroergonomics. Key themes include the use of eye blink-related potentials as indicators of cognitive load, the impact of automation on driver attention, and the development of signal processing methods for decoding brain activity in dynamic settings. His research spans transportation, occupational health, and human-computer interaction. No scientific awards are listed in the available information. There is no information provided regarding students advised or research grants obtained. Dr. Reiser is part of the Experimental Ergonomics team led by Prof. Dr. Edmund Wascher within the Ergonomics department at IfADo. The team conducts cutting-edge research on human factors in various work contexts, with a focus on developing and applying neuroergonomic methods to assess and enhance human performance in real-world environments.

Aitor Arrietaمشاهده پروفایل

مدرس

• Software Engineering
• Software Testing
• Cyber-Physical Systems
• +۴ مورد دیگر

Dr. Aitor Arrieta is a permanent full-time Lecturer and Researcher at Mondragon University in Spain. His research focuses on software engineering and testing methodologies for complex systems including Cyber-Physical Systems, AI-based systems, and Generative AI models. He maintains strong industry collaborations with companies like Orona and Developair to address real-world engineering challenges. Research interests span: AI system validation and safety testing Metamorphic testing techniques Autonomous vehicle verification Large Language Model bias/fairness analysis Search-based software engineering His recent publications demonstrate a focus on developing automated testing tools for AI systems, particularly in safety-critical domains. Awarded Best Paper at the 15th International Symposium on Search-Based Software Engineering. Active in European research projects: InnoGuard: Generative AI for autonomous cyber-physical systems TRUST4AI: Trustable AI-driven internet search

Sven Winkelmannمشاهده پروفایل

استاد

• Human-Machine Interaction
• Conversational AI
• Explainable AI
• +۴ مورد دیگر

Sven Winkelmann serves as a Professor at the Nuremberg Institute of Technology, teaching computer science and programming for engineers, human-machine dialogue systems, and applied artificial intelligence. His office is located in Space WE.313, with consultation hours accessible via Calendly. His research centers on designing natural interactions between humans and ML-based systems, specifically through Conversational AI and Explainable AI frameworks. Key projects include user experience studies in driving simulators, voice control applications for healthcare data integration in vehicles, and fatigue warning system evaluations. He investigates how to make automated decisions comprehensible to users while enabling user influence over system behavior. Prof. Winkelmann actively supervises student theses on AI-human interaction topics, including voice dialogue corpus development for health trackers, large-language model integration in automotive contexts, and voice assistant acceptance studies for elderly populations. His industry collaborations include Mercedes-Benz on AI agent concepts and AWO Seniorennetzwerk on aging-focused UX research.