جست‌وجوی استاد و پژوهشگر

• Mobile Robotics
• Autonomous Robotics
• Computer Vision
• +۴ مورد دیگر

António Fernando Macedo Ribeiro is an Associate Professor at the Department of Industrial Electronics within the School of Engineering at the University of Minho. He is also a Senior Researcher at the Algoritmi Research Center and a member of both the IE R&D Group and CAR R&D Lab. He graduated in Computer Science (1988), earned an MSc in Industrial Robotics (1992), and a PhD in Industrial Robotics and Advanced Manufacturing Technology (1995). His academic career includes roles as department director (2013-2016) and co-director of Algoritmi (2006-2010). He founded the Robotics Laboratory (LAR) at the University of Minho and the spin-off SAR (botnroll.com). His research focuses on mobile robotics , autonomous systems , computer vision , and industrial automation . He has led over 50 projects, including RoboParty (since 2007) and RoboCup participation (since 1999). His work spans robot localization , gesture recognition , and adaptive control . Recent publications highlight trends in autonomous navigation , deep learning for robotics, and human-robot interaction . Key subfields include hexapod locomotion, multi-agent systems, tactile sensing, and 3D recognition. He has organized over 30 events like RoboCup editions and RoboParty. He actively promotes robotics education for youth through TEDx talks, school visits, and robotics clubs.

• Sustainable Mobility
• Electrification of Transport Systems
• Shared and Connected Mobility
• +۵ مورد دیگر

Kun Gao is an Assistant Professor at the Department of Architecture and Civil Engineering at Chalmers University, leading the Urban Mobility Systems research group. His work bridges transportation engineering and data science to develop sustainable mobility solutions through electrification, shared systems, and connected infrastructure. Research Focus: Electric vehicle integration, charging infrastructure optimization, multimodal mobility systems Funding: Supported by JPI Urban Europe, FORMAS, Swedish Innovation Agency, Swedish Energy Agency, and Chalmers AoA Transport/Energy Methods: Machine learning, big data analytics, system optimization His recent publications emphasize autonomous vehicle safety , renewable energy integration , and equity in mobility systems . Current work explores AI-driven infrastructure planning and coupled transportation-energy systems.

• Building Acoustics
• Community Noise
• Machine Noise
• +۴ مورد دیگر

Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +۵ مورد دیگر

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

Imran Qureshiمشاهده پروفایل

دانشیار

• Gas Turbine Engines
• Experimental Fluid Dynamics
• Computational Fluid Dynamics
• +۱۰ مورد دیگر

Dr. Imran Qureshi is an Associate Professor in the Department of Mechanical Engineering at the University of Birmingham Dubai Campus, part of the School of Engineering. He previously served as an Assistant Professor at the American University of Sharjah, UAE, before joining the University of Birmingham. His academic and industrial expertise lies in mechanical and aerospace engineering, particularly in gas turbine systems and sustainable energy technologies. BEng (Hons) in Aerospace Engineering, NUST, Pakistan MSc in Mechanical Engineering, University of Leeds, UK DPhil in Engineering Science, University of Oxford, UK Chartered Engineer (CEng), IMechE UK Dr. Qureshi's research focuses on experimental and computational fluid dynamics , gas turbine engines , heat transfer , and sustainable energy systems . His work bridges industrial applications and academic inquiry, particularly in improving turbine performance and advancing renewable energy technologies. He has investigated aggressive inlet swirl effects, combustor temperature nonuniformity, and dynamic engine modeling using artificial intelligence. His recent publications reflect a growing emphasis on sustainability, with studies on net-zero energy buildings , photovoltaic and concentrated solar technologies , and hydrogen propulsion . The integration of AI in turbine diagnostics and performance monitoring marks a significant trend in his scholarly output. His work spans both fundamental aerothermal investigations and applied sustainability solutions. Dr. Qureshi has no listed scientific awards in the provided text. He teaches undergraduate modules including Thermodynamics and Fluid Mechanics , Sustainable Energy and Environment , Engineering Mathematics , Powertrain and Vehicle Engineering , and supervises final-year individual engineering projects. There is no mention of students he has advised or research grants he has led. No specific lab or research team is referenced in the text.

Mehran Masdariمشاهده پروفایل

مدرس

• Experimental Aerodynamics
• Aeroacoustics
• Heat Transfer Optimization
• +۹ مورد دیگر

Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.

Richard Bomphreyمشاهده پروفایل

استاد

• Comparative Biomechanics
• Evolutionary Biology
• Functional Morphology
• +۱۶ مورد دیگر

Richard Bomphrey is a Professor of Comparative Biomechanics at the Royal Veterinary College (RVC), University of London, where he leads the Structure and Motion Laboratory within the Department of Comparative Biomedical Sciences. He previously served as Interim Vice Principal for Research (2021–2022) and Associate Dean for Research (2022–2023), highlighting his leadership in academic research. His work bridges biology and engineering, focusing on animal locomotion, particularly flight in insects and birds. Richard earned his biological sciences degree from the University of Exeter and completed his DPhil in biomechanics at the University of Oxford. He held postdoctoral positions at Oxford and the University of Bath before securing an EPSRC Fellowship, which facilitated his transition to RVC in 2013. His research explores evolutionary biology through the lens of functional morphology, unsteady aerodynamics, and fluid-structure interaction. He investigates how flying animals sense, stabilize, and control flight, with implications for bio-inspired unmanned air systems. His lab employs advanced techniques such as wind tunnels, high-speed videography, volumetric particle image velocimetry (PIV), and virtual reality chambers for tethered insects. The 15 most recent publications reflect a strong focus on insect and bird flight mechanics, vortex dynamics, biomimetics, and bio-inspired engineering. Key themes include leading-edge vortices, wing morphology, flow sensing in mosquitoes, and aerodynamic adaptations in raptors and dragonflies. His interdisciplinary approach integrates experimental biology with computational modeling and engineering principles. Wellcome Trust New Scientist Popular Science Writing Prize Daily Telegraph STEM Hero of the Month He actively mentors students and leads a vibrant research team, supervising PhD and Master’s students. His outreach includes science festivals, public lectures, and media appearances (BBC, SKY, Discovery Channel). He has contributed to major public engagement initiatives such as the Royal Society Summer Science Exhibition and UCL’s bio-inspired robotics summer school. His laboratory, the Structure and Motion Lab, is equipped with state-of-the-art tools for biomechanical analysis, including tomographic PIV and a virtual flight arena for insects. The team investigates both external flight dynamics and internal flows, such as haemodynamics in abdominal aortic aneurysms, demonstrating the breadth of their biomechanical inquiry.

• Electrochemical Energy Storage
• System Design Methodologies
• Energy Systems Optimization
• +۵ مورد دیگر

Prof. Dr. Walter Commerell serves as Professor at Technische Hochschule Ulm (THU) , holding the role of International Representative for the Faculty of Production Engineering and Production Management. He is the Spokesperson for ASIM (Simulation of Technical Systems Division) and Head of Steinbeis Transfer Center System Design , while also being a member of the International Energy Competence Center (IECN) and Institutes for Energy and Drive Technology/Vehicle Systems Technology.

Zhan Liuمشاهده پروفایل

پژوهشگر

• Thermal Management
• Fluid Dynamics
• Pollutant Dispersion
• +۵ مورد دیگر

Dr. Zhan Liu is affiliated with Southwest University of Science and Technology, where he conducts advanced research in thermal systems, fluid dynamics, and energy storage technologies. His work focuses on hydrogen fuel cell vehicles, liquefied natural gas storage, and industrial ventilation systems. His research interests include: Thermal Management in Energy Systems Fluid Sloshing and Thermo-Mechanical Coupling Pollutant Dispersion in Industrial Environments Hazard Control in Hybrid Ventilation Systems Hydrogen Storage Tank Performance Renewable and Clean Energy Engineering The recent publications indicate a strong focus on modeling and experimental analysis of thermal and fluid behavior in next-generation energy and industrial systems, particularly under extreme or dynamic conditions such as rapid charging and intermittent ventilation. Dr. Liu actively collaborates with researchers from Chongqing University and other institutions, contributing to impactful studies in high-impact energy and engineering journals. He has not listed any scientific awards or formal mentoring roles in the provided text.

• Combustion
• Energy Management Systems
• Hybrid Electric Vehicles
• +۷ مورد دیگر

Luciano Rolando is an Associate Professor at the Department of Energy (DENERG) in Politecnico di Torino. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility. His academic roles include teaching Hybrid Propulsion Systems at the PhD level and various undergraduate/graduate courses such as Thermal Machines and Structural Mechanics and Fluid Machines across Chemical, Mechanical, and Energy Engineering programs. As Scientific Director and Manager of competitive and commercial research projects like OpThermEV (2021-2022) and Alternative Fuels: Large Bore Ammonia Combustion (2024-2025), he focuses on optimizing thermal management systems, hydrogen combustion, and emission reduction technologies. His research group E3 (DENERG) explores synergies between hybrid propulsion, renewable fuels, and predictive control algorithms. His recent publications highlight advancements in deep reinforcement learning for energy management, hydrogen-fueled powertrains, and dual-diluted combustion systems. Collaborations include industry partnerships and supervision of seven ongoing PhD students. He holds a national patent for predictive thermal control systems in electric vehicles, aligning with SDG goals 7, 12, and 13.

John Gasparمشاهده پروفایل

پژوهشگر

• Human Factors
• Driver Behavior
• Vehicle Automation
• +۵ مورد دیگر

John Gaspar serves as Director of Human Factors Research at the University of Iowa's Driving Safety Research Institute within the College of Engineering. His work bridges the Department of Industrial and Systems Engineering and the National Advanced Driving Simulator (NADS), where he leads critical research on driver-vehicle interactions. With a PhD in Psychology from the University of Illinois Urbana-Champaign, his academic foundation supports interdisciplinary work spanning engineering, cognitive science, and transportation safety. Gaspar's research focuses on human factors in vehicle automation systems, drowsy driving countermeasures, and driver monitoring technologies. He employs multimodal methodologies including high-fidelity simulation, naturalistic driving studies, and physiological monitoring to examine driver behavior in automated vehicles. His work specifically investigates mental model development around ADAS technologies, transition of control in conditional automation, and fatigue management strategies during long-haul driving. Analysis of his recent publications reveals dominant research themes in drowsy driving countermeasures (25% of recent work), ADAS mental model development (20%), driver monitoring system validation (15%), and rural automated vehicle deployment challenges (10%). His methodological approach consistently integrates simulation with real-world validation, particularly through NHTSA-funded projects examining human-automation interaction. As principal investigator on three active NHTSA projects, Gaspar leads research on automated vehicle HMIs, drowsiness countermeasures, and driver state detection systems. His work directly informs transportation safety policy through collaborations with the Transportation Research Board, Human Factors and Ergonomics Society, and Society of Automotive Engineers. The Driving Safety Research Institute under his direction operates multiple high-fidelity simulators including NADS-1 and NADS-2, supporting both fundamental human factors research and applied vehicle safety development. Gaspar's laboratory infrastructure includes the National Advanced Driving Simulator complex with motion-base platforms, instrumented on-road vehicles, and rural driving scenario capabilities. His team specializes in multimodal data collection combining eye-tracking, physiological monitoring, vehicle dynamics, and behavioral coding to create comprehensive driver state models. Current projects emphasize real-world applicability of laboratory findings, particularly for vulnerable populations including older drivers and those operating in rural environments.

• Production Systems Engineering
• Supply Chain Design and Optimization
• Operational Research
• +۳ مورد دیگر

Professor Alexandre Dolgui is the Director of the Department of Automation, Production, and Computer Science (DAPI) at IMT Atlantique, France. A Fellow of IISE and Highly Cited Researcher (Clarivate), he serves as Editor-in-Chief of the International Journal of Production Research. His expertise spans production systems, supply chain engineering, and operational research, with over 360 journal articles and 37 books. Education: HDR (University of Technology of Compiègne, 2000), PhD in Cybernetics (Academy of Science of Belarus, 1990) Research focuses on production system design , supply chain resilience , and discrete optimization , addressing challenges in human-robot collaboration, Industry 5.0, and yield uncertainty. His work integrates machine learning with stochastic programming for adaptive manufacturing solutions. Key contributions include constraint programming models for assembly lines, robust optimization frameworks for biorefineries, and digital twin methodologies for supply chain risk management. He has received multiple best paper awards and led international research projects like DREAMS and DISC. Scientific leadership: Board member of IFPR, Senior advisor to Chinese Academy of Sciences, founder of EVI European Virtual Institute

• Computer Vision
• Robotics
• Machine Learning
• +۵ مورد دیگر

Saurabh Gupta is an Associate Professor in the Electrical and Computer Engineering Department at the University of Illinois Urbana-Champaign (UIUC), where he is based at the Coordinated Science Lab (CSL 319). He previously served as a Research Scientist at Facebook AI Research in Pittsburgh working with Prof. Abhinav Gupta. His educational background includes a PhD in Computer Science from UC Berkeley advised by Prof. Jitendra Malik, and an undergraduate degree in Computer Science and Engineering from IIT Delhi, India. Gupta's research focuses on building intelligent agents that can interact with the physical world, with particular emphasis on computer vision, robotics, and machine learning. His work explores representations that enable physical interaction and learning from active engagement with environments. Key research directions include spatio-semantic and topological representations for visual navigation, skill discovery, learning from videos, and active visual learning. His recent publications reveal a strong trend toward practical robotics applications with an emphasis on real-world deployment. The research spans multiple domains including humanoid robotics, egocentric vision, physical reasoning, and wireless sensing. Significant attention is given to bridging the sim-to-real gap and developing systems that work in practical environments rather than controlled laboratory settings. As an educator, Gupta teaches advanced courses including Deep Learning for Computer Vision (CS 444/ECE 494), Computer Vision (ECE 549/CS 543), and Learning-Based Robotics (ECE 598 SG). Gupta advises multiple PhD students including Arjun Gupta, Shaowei Liu, Aditya Prakash, Xiaoyu Zhang, Runpei Dong, and Xialin He, with former student Matthew Chang completing his PhD in 2024 on Robot Learning from Videos. His research group operates within the Coordinated Science Laboratory at UIUC, collaborating with researchers across computer vision, robotics, and machine learning domains. The group maintains strong connections with industry research labs including Meta AI Research, where former students have pursued research scientist positions.

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +۷ مورد دیگر

Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.

• 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.