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Mirsad TrobradovićView profile

Associate Professor

• Automotive Engineering
• Electric Vehicles
• Additive Manufacturing
• +7 more

Mirsad Trobradović is an Associate Professor at the Faculty of Mechanical Engineering , University of Sarajevo , Bosnia and Herzegovina, where he conducts research and teaches in the broad domain of mechanical and automotive engineering. His office is located in room 523, and he welcomes consultations every working day by appointment. Education & Academic Standing: While the page does not detail his prior degrees, his current academic rank of docent (equivalent to Associate Professor) and the title doc. dr. indicate completion of a doctoral degree and fulfilment of all requirements for tenure-track advancement at the University of Sarajevo. Research Interests: Trobradović’s work centres on automotive engineering , electric mobility , additive manufacturing , polymer materials , 3D scanning technologies , and finite element analysis . He explores how electrification of transport affects national energy demands, investigates durability and failure mechanisms of 3D-printed polymer gears, and integrates advanced scanning techniques into furniture manufacturing processes. Additional interests include the biomechanical performance of medical fixation devices, emission reduction in diesel engines, and the mathematical modelling of dynamic systems. Publication Trends: Across more than 15 peer-reviewed articles and book chapters since 2005, Trobradović demonstrates a clear trajectory from foundational vehicle dynamics and alternative fuels toward cutting-edge topics such as electric-vehicle energy regeneration, 3D-printed component reliability, and digital transformation of manufacturing. His most recent 2025 contributions focus on quantifying the electrical-energy impact of vehicle electrification in Bosnia and Herzegovina and on assessing service life of additively manufactured polymer gears. Scientific Awards: No specific awards or distinctions are listed on the University of Sarajevo page. Advising & Projects: Although individual student names are not disclosed, Trobradović collaborates extensively with colleagues such as Adis Muminović, Nedim Pervan, and Vahidin Hadžiabdić, indicating active supervision of graduate researchers and participation in multi-institutional projects. Detailed project listings are absent, yet the breadth of co-authored works suggests ongoing grant activity. Laboratory & Teams: He carries out his investigations within the research environment of the Faculty of Mechanical Engineering, leveraging laboratories for automotive testing, additive manufacturing, and computer-aided engineering simulation.

Min-Wook KangView profile

Professor

• Advanced traffic operations and safety
• Artificial intelligence in traffic management and transportation infrastructure design
• Accident analysis and modeling
• +3 more

Dr. Min-Wook Kang is a Professor of Civil Engineering specializing in Transportation Engineering at the University of South Alabama's Department of Civil, Coastal, and Environmental Engineering. He is a licensed Professional Engineer (P.E.) with a robust academic background and extensive research contributions in traffic operations, safety, and AI applications in transportation. Education: Ph.D. in Civil and Environmental Engineering, University of Maryland M.S. in Civil and Environmental Engineering, University of Maryland M.S. in Transportation System Engineering, Hanyang University B.S. in Transportation System Engineering, Hanyang University Research Interests: Dr. Kang's research spans advanced traffic operations and safety , artificial intelligence in transportation systems , and accident analysis and modeling . He leverages quantitative methods, AI-based optimization techniques, and simulation-based approaches to enhance highway and intersection safety and efficiency. His work integrates genetic algorithms , machine learning , and mathematical modeling to solve complex transportation challenges, including red-light running prevention, dilemma zone protection, and sustainable infrastructure design. Publications and Contributions: Dr. Kang has authored or co-authored numerous peer-reviewed journal articles and a 2020 scholarly book titled Artificial Intelligence in Highway Location and Alignment Optimization . His research has been published in top-tier journals such as Transportation Research Record , Transportation Research Part C , and Journal of Safety Research . Teaching and Mentorship: He teaches a wide range of courses including transportation engineering, highway geometric design, traffic safety, and machine learning applications in transportation. He actively supervises M.S. and Ph.D. students, as indicated by co-authorships with advisees marked by asterisks in his publications. Contact: Email: mwkang@southalabama.edu Phone: (251) 460-6174

• Hydrogen Combustion
• Sustainable Energy Systems
• Internal Combustion Engines
• +4 more

Joshua Lacey is a Senior Lecturer in the Department of Mechanical Engineering , affiliated with the Faculty of Industrial Engineering Sciences at KU Leuven . He leads the EnergyVille TME Subdivision and is actively involved in promoting sustainable energy systems and combustion technologies through the KIEM – KU Leuven Institute for Energy and Society . His research focuses on hydrogen combustion , CO2-reduction strategies , and numerical simulation tools for energy systems. He has contributed to projects such as the Decarbonization Lab and the University of Melbourne Global PhD Partnership , emphasizing hydrogen engine optimization and wind-assisted shipping. Joshua Lacey serves as a promotor or co-promotor for numerous ongoing research initiatives, including flame-wall interactions , CO2-diluted oxy-fuel combustion , and tomographic PIV systems for fluid dynamics analysis. He supervises students such as M. Ghorbani Poshtmashhadi and contributes to the development of carbon-free emission engines using direct-injected hydrogen and wind propulsion technologies.

• Mechanobiology
• Biomechanics
• Microvascular mechanics
• +5 more

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. MargolinView profile

Associate Professor

• Cognitive Psychology
• Gerontology
• Reading Comprehension
• +3 more

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
• +5 more

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 SunView profile

Professor

• Transportation Engineering
• Highway Safety
• Intelligent Transportation Systems
• +7 more

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. BrooksView profile

Professor

• Human-Automation Interaction
• Control Systems
• Queueing Theory
• +3 more

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
• +3 more

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
• +2 more

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
• +5 more

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
• +6 more

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 IIIView profile

Lecturer

• Computer Science
• Access Control Systems
• Web Privacy
• +4 more

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

Wei-Chiu MaView profile

Assistant Professor

• 3D Computer Vision
• 4D Computer Vision
• Robotics
• +5 more

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
• +3 more

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.