جست‌وجوی استاد و پژوهشگر

Osman Ervanمشاهده پروفایل

پژوهشگر

• Autonomous Systems
• Robotics
• Control Theory and Applications
• +۲ مورد دیگر

Osman Ervan is a Research Assistant at the Department of Control and Automation Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University. He has been actively contributing to academic research since 2017, with expertise in robotics, autonomous systems, and control theory. His research focuses on robotics and sensor data processing, particularly involving LiDAR systems, point cloud registration, and tensor voting methods. Recent projects include advanced sampling techniques for point cloud data, autonomous robotic imaging systems, and fuzzy logic-based obstacle avoidance algorithms. Key publication trends show a strong emphasis on 3D point cloud processing (2019-2023), sensor configuration optimization (2015-2016), and autonomous navigation systems (2021-2023). His work spans both theoretical and applied aspects of robotics. Dr. Ervan is based at ITU Ayazaga Campus, Istanbul, Turkey. He has published 8 research outputs since 2015, with active collaborations in multi-robot systems development and sensor integration research.

• Marine Technology
• Arctic Engineering
• Risk Management
• +۳ مورد دیگر

Liangliang Lu is a Postdoctoral Researcher at the Department of Energy and Mechanical Engineering , Aalto University. Their research focuses on Marine and Arctic Technology , with significant contributions to understanding ice mechanics, ship performance in polar conditions, and maritime risk assessment. Specializes in Arctic and Antarctic navigation Develops Bayesian networks for oil spill risk modeling Engages in collaborative polar research projects Research interests span ice-induced ship hull loads , winter navigation systems , and oil spill response effectiveness . Their work combines computational modeling , field measurements , and data analytics to improve maritime safety in extreme environments. Recent publications emphasize CFD/FSI/AI integration , real-time conflict probability ranking , and flexural strength analysis of freshwater ice. Collaborations with experts in naval architecture and polar logistics appear frequently. Active in polar research groups, Lu contributes to developing decision-support tools for ice-covered operations and participates in international conferences like POAC and IAHR Symposiums.

• Future Autonomous Systems
• Collision Avoidance Systems
• Path Planning Algorithms
• +۶ مورد دیگر

Dr. Zane Smith is a Research Fellow at the School of Mechanical and Mining Engineering , University of Queensland, specializing in Future Autonomous Systems and Technologies . With a PhD in Mechanical Engineering from UQ and extensive experience in mining automation, he focuses on collision avoidance systems, path planning algorithms, and operator assist technologies for heavy machinery. Qualifications: BEng (Hons), PhD (The University of Queensland) His research spans multiple domains including: Collision avoidance for large excavators UWB transceiver applications in mining Minkowski hull operations for geometric processing Distributed data representations for equipment interactions Dr. Smith has secured significant research funding from Caterpillar Inc (2018-2024) and ACARP (2013-2022), primarily focused on autonomous bulldozers, electric rope shovels, and articulated truck automation systems. Currently available for supervision, Dr. Smith collaborates with industry partners on practical implementations of autonomous systems in mining environments. Contact: z.smith@uq.edu.au

• Artificial Intelligence
• Robotics
• Motion Planning
• +۸ مورد دیگر

Maxim Likhachev is a Professor at the Robotics Institute and National Robotics Engineering Center , both within the School of Computer Science at Carnegie Mellon University (CMU). His research focuses on Artificial Intelligence and Robotics , particularly in real-time graph search algorithms , planning under uncertainty , and high-dimensional mobile manipulation . He co-founded TravelWits.com and RobotWits (acquired by Waymo), and his lab develops the Search-based Planning Library (SBPL), integrated into ROS. Research Themes : Graph search-based planning for deterministic and probabilistic domains Decomposition of hard planning problems into sequential graph searches Incremental algorithms for dynamic environments Experience-driven heuristic optimization Scientific Awards : Gold Edison Award (2013) for industrial mobile manipulator project DARPA Urban Challenge Winner (2007) for autonomous SUV navigation Students : Supervises current PhD students including Itamar Mishani , Muhammad Suhail Saleem , and Rishi Veerapaneni , alongside Masters students like Gabriel Olin . Past advisees include Dhruv Saxena (now at Uber), Michael Phillips (now at Uber), and Shivam Vats (now at Waymo). Lab & Projects : Leads the Search-based Planning Laboratory at CMU, working on systems like K-MAX helicopter , PR2 robots , and industrial mobile manipulators for tasks including autonomous paint stripping and aerial navigation.

• Arctic Ecology
• Reindeer Physiology
• Climate Change Impact on Indigenous Pastoralism
• +۵ مورد دیگر

Nicholas Tyler is an Associate Professor at the Center for Sami Studies, UiT The Arctic University of Norway, focusing on Arctic ecology, reindeer physiology, and climate change impacts on indigenous pastoralism. His work integrates environmental science with physiological mechanisms in high-latitude mammals. Key research areas include photoperiod-driven behavior in ungulates, ultraviolet vision adaptations, and social-ecological resilience in Saami reindeer husbandry. His recent publications (2024) analyze energetic status-reproduction links, dental growth patterns, and polar photoreception. Collaborations span climate scientists, anatomists, and conservation biologists, with notable co-authors like David Hazlerigg and Karl-Arne Stokkan. His work appears in journals such as Scientific Reports , Functional Ecology , and Conservation Biology , emphasizing human-environment coupling in Arctic systems.

• Modular and Offsite Construction
• Building Information Modelling (BIM)
• Lean Manufacturing
• +۵ مورد دیگر

Dr. Mohamed Al-Hussein is a Professor and NSERC Industrial Research Chair in the Industrialization of Building Construction at the University of Alberta’s Department of Civil and Environmental Engineering. His work focuses on advancing modular and offsite construction technologies through automation, lean principles, and Building Information Modelling (BIM). PhD, Construction Engineering & Management, Concordia University (1999) MASc, Construction Engineering and Management, Concordia University (1995) MSc, Civil Engineering, University of Architecture & Civil Engineering, Bulgaria (1988) BSc, Civil Engineering, University of Architecture & Civil Engineering, Bulgaria (1983) Dr. Al-Hussein’s research spans five key domains: Modular Construction: Pioneering high-efficiency offsite building systems, including rapid assembly of student dorms and mid-rise residential buildings. BIM & Digitalization: Developing 3D/4D modeling frameworks, automated design systems, and digital twin applications for construction optimization. Environmental Sustainability: Quantifying CO2 emissions, exploring nano energy storage, and advancing solar PV integration in residential construction. Urban Planning: Specializing in age-restricted community design, municipal infrastructure maintenance, and housing affordability analysis related to paving standards. Construction Safety: Applying ergonomic risk assessment tools and virtual reality to enhance worker safety and reduce construction-related hazards. His 400+ peer-reviewed publications reflect cutting-edge applications of AI, deep learning, and simulation across construction processes. Recent work explores metaverse integration, blockchain collaboration tools, and advanced crane operation optimization using reinforcement learning. As Editor-in-Chief of the International Journal of Industrialized Construction , Dr. Al-Hussein remains a global authority in this field. He has developed industry-transforming technologies like the Quikmod-2 modular lift frame and PCL lift frame project , with real-world implementations ranging from Shell Scotford complex equipment replacement to CBC News and Forbes featured projects.

Shu Sunمشاهده پروفایل

پژوهشگر

• Automated Container Terminals
• Multi-Equipment Cooperative Scheduling
• Heuristic Algorithms
• +۳ مورد دیگر

Shu Sun is an external doctoral student at the University of Hamburg , affiliated with the Institute for Business Information Systems under the University of Hamburg Business School. Their research focuses on optimization problems in automated container terminals, particularly multi-equipment cooperative scheduling and heuristic algorithm development. Education: Master's in Logistics Engineering (2019–present), Shanghai Maritime University (dual Master-Promotionsprogramm) Bachelor of Automation Engineering (2014–2018), Changsha University of Science & Technology Contact: Office: Room 3139, Von-Melle-Park 5, 20146 Hamburg Phone: +49 40 42838-5587 Email: shu.sun@studium.uni-hamburg.de Publications demonstrate expertise in automated guided vehicle path planning , terminal logistics optimization , and heuristic algorithm applications for complex industrial systems. Research trends include integration of process optimization with multi-equipment coordination in intermodal transport environments.

• Traffic flow in work stations
• Traffic safety in workplaces
• Operation and maintenance of traffic facilities
• +۵ مورد دیگر

Dr. Dirk Kemper serves as Deputy Head of the Institute at the Chair and Institute of Highway Engineering, RWTH Aachen University. His academic career spans over two decades at RWTH Aachen, where he has held positions including Substitute Professor and Head of the Chair and Institute of Highway Engineering (2021-2023), Chief Engineer and Deputy Head of the Institute (since 2010), and Research Associate (2002-2010). His educational background includes: 1993-2002: Civil engineering studies at RWTH Aachen University (Diploma degree in "Traffic Engineering and Spatial Planning") 2010: Dissertation on "Comparative analysis of the safety and economy of workplaces of shorter duration on motorways by day and night" Dr. Kemper's research focuses on traffic flow in work stations, traffic safety in workplaces, operation and maintenance of traffic facilities, work safety, road equipment, and traffic data collection and analysis. His work bridges theoretical transportation engineering with practical applications in highway construction and maintenance, with numerous projects examining psychological effects of construction site arrangements and safety measures for temporary traffic routing. His recent publications reveal a strong trend toward integrating advanced technologies with traditional highway engineering, with significant focus on automated vehicle infrastructure compatibility, CO2 reduction through traffic management, and machine vision applications for road marking detection. His work increasingly addresses sustainability concerns while maintaining safety standards. Professional affiliations include: Forschungsgemeinschaft Straßenwesen, Erd- und Tunnelbau e. V. (SETAC) (Member since 2001) IVSt Working Group on "RSA / ZTV-SA + TL" (Member 2002-2005) Federal-State Working Group "OKSTRA" (Member 2003-2004) Road and Transportation Research Association (FGSV) Working Committee 3.5 "traffic signs and facilities" (Guest since 2004) Working Group 3.5.4 "Securing Workstations" (Member since 2003) Dr. Kemper supervises teaching activities in noise protection, traffic quality, road equipment, and road operation. He has led major research projects including Habituation effects in fluorescent materials, Temporary Traffic Routes on Long-Term Work Sites, ACCorD (Corridor for New Mobility Aachen-Düsseldorf), and numerous studies on traffic safety in construction zones. As part of RWTH Aachen's Institute of Highway Engineering, Dr. Kemper contributes to one of Germany's leading transportation research centers, collaborating with industry and government agencies to improve highway safety and efficiency through evidence-based innovation.

Russell Marshallمشاهده پروفایل

استاد

• Digital Human Modeling (DHM)
• Inclusive Design
• Transport Safety Engineering
• +۵ مورد دیگر

Russell Marshall is a Professor of Design and Human Modelling at the School of Design and Creative Arts, Loughborough University. As Associate Dean for Teaching, he leads strategic development of taught programmes and oversees learning and teaching policy across undergraduate and postgraduate levels. He chairs key committees including Learning and Teaching, and staff-student liaison boards. His academic background includes an MEng in Design and Manufacturing Engineering and a PhD in Modular Product Design, both from Loughborough University. He holds professional certifications: CEng (Chartered Engineer), MIET (Member of the Institution of Engineering and Technology), and FHEA (Fellow of the Higher Education Academy). Research focuses on Design Ergonomics, Digital Human Modelling (DHM), and Inclusive Design. Key projects include developing the HADRIAN tool for accessibility planning, defining direct vision standards for trucks in London, and studying human factors in ageing populations. His work bridges academic research with real-world applications in transport safety, manufacturing, and product design. Publications span 20+ years, emphasizing DHM applications in safety engineering, ergonomic evaluations, and inclusive design methodologies. His work has influenced policy frameworks for vehicle safety standards and urban mobility systems. Current leadership includes heading the Design Ergonomics Research Group, which collaborates with industry partners to address human-centered design challenges across diverse sectors.

Andrew Morrisمشاهده پروفایل

استاد

• Transport Safety
• Human Factors Engineering
• Behavioral Safety
• +۴ مورد دیگر

Professor Andrew Morris is a Professor of Human Factors in Transport Safety and Director of Research at Loughborough University’s School of Design and Creative Arts. He also serves as Director of Internationalisation for the Loughborough Design School and holds a Visiting Professor position at Hasselt University in Belgium. His academic journey includes a PhD in Mechanical Engineering and a Master’s in Ergonomics from the University of Birmingham, following his undergraduate studies at York University. His research focuses on human factors in transport safety, behavioral safety, and injury prevention. He leads the Behavioural Safety Research and Injury Prevention Research Group and has pioneered projects such as developing screening tests for dementia-related driving impairments. Key achievements include the US Government Special Award of Appreciation (2009) for contributions to motor vehicle safety and a shared Vice-Chancellor’s award for partnerships promoting impactful collaborations. Recent work spans automated vehicle integration, urban mobility sustainability, and pedestrian safety in automated systems. He actively engages with policy-making through initiatives like the Enhanced Crash Investigation Study (ECIS), aiming to reduce serious injury crashes through evidence-based approaches. His interdisciplinary projects bridge engineering, public health, and behavioral science, addressing challenges in modern transport systems.

Steve Southwardمشاهده پروفایل

دانشیار

• Automotive Engineering
• Vehicle Dynamics
• Control Systems
• +۵ مورد دیگر

Steve Southward is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech, part of the College of Engineering. His roles include membership on the Advisory Board, Leadership committees, and Emeritus Faculty. He holds the John Jones Faculty Fellowship and is associated with chaired professorships in the department. Education: Ph.D., M.S., and B.S. in Mechanical Engineering from Michigan State University (1990, 1986, 1983). Research focuses on Ground Vehicle Chassis/Suspension Performance , Dynamic Systems Modeling , and Real-Time Adaptive Control . Projects include autonomous vehicle navigation, active suspension systems, and vibration cancellation. His work bridges theoretical control algorithms with practical applications in automotive and aerospace systems. Recent publications (2024–2011) emphasize autonomous vehicle control, traction systems, and adaptive signal processing. Key trends include integrating machine learning with classical control theory for improved system reliability. Scientific Award: John Jones Faculty Fellowship Advising and grants: While no students are listed, his research has been supported by grants related to vehicle dynamics and control systems. He collaborates on lab initiatives involving advanced suspension testing and acoustic monitoring. Labs/Teams: Engages with automotive and aerospace labs at Virginia Tech, focusing on testing rigs and sensor integration for real-world applications.

Chi Tianمشاهده پروفایل

استادیار

• Construction Safety
• Productivity Management
• Computer Vision Applications
• +۴ مورد دیگر

Chi Tian is an Assistant Professor in the Department of Civil Engineering and Construction Management at the University of Texas of Tyler. He holds a Ph.D. from Purdue University (2024) and a B.E. from Southeast University (2018). His research focuses on enhancing construction worker safety and productivity through technologies like deep learning, computer vision, and connected/automated vehicles (CAVs). He has contributed to NSF and INDOT-funded projects during his doctoral studies. Education: Ph.D., Purdue University, 2024 B.E., Southeast University, 2018 Research interests include: - Wearable sensors for safety monitoring - Computer vision applications in construction - Human factors in transportation and CAV testing - Productivity management using AI - Infrastructure safety innovations His work bridges academic research with practical industry applications, emphasizing technology-driven solutions for safer work environments. Publications highlight trends in automated activity classification, autonomous vehicle integration in work zones, and low-cost 3D infrastructure modeling. Recent studies also explore crash simulations and BIM implementation challenges in infrastructure projects. Grants and collaborations include NSF and INDOT-funded projects. He teaches courses like CMGT 2302 (Introduction to Construction Management) and CENG 4339 (Civil Engineering Construction Management). No scientific awards are explicitly listed in the provided texts. Labs/Teams: Active involvement in Purdue’s research groups during PhD, though specific current lab affiliations are not detailed.

Konrad Ahlinمشاهده پروفایل

پژوهشگر

• Robotics
• Mechanical Engineering
• Control Systems
• +۳ مورد دیگر

Konrad Ahlin is a Senior Research Engineer specializing in robotics with expertise in control systems, grasping, and path planning. His research focuses on dual-arm manipulation, pose estimation, and robotic applications in industrial and agricultural settings. Doctorate in Robotics, Georgia Institute of Technology Master in Mechanical Engineering, Rochester Institute of Technology Bachelor in Mechanical Engineering, Rochester Institute of Technology Research Interests : Robotics in agriculture and manufacturing, control systems for dual-arm manipulators, path planning algorithms, and pose estimation for deformable objects. His work emphasizes adaptable mechanical intelligence and collision avoidance techniques. Selected Scientific Contributions : Developed secant method for trajectory planning with obstacles, enhanced payload capacity in dual-arm systems, and pioneered robotic rehang techniques using machine vision. His publications span conferences like ASME and ASABE, focusing on practical robotic implementations. R. Harold and Patsy Harrison Research Faculty Fellow

Fabrizio Gabbianiمشاهده پروفایل

استاد

• Biophysics
• Neuroscience
• Sensory Processing
• +۵ مورد دیگر

Fabrizio Gabbiani is a Professor in the Department of Neuroscience at Baylor College of Medicine, Houston, United States. His research focuses on the biophysics of information processing in the nervous system, particularly in sensory systems. He holds a Ph.D., M.A., and B.A. from the Swiss Federal Institute of Technology (ETH Zurich) and has conducted advanced training at the Institute for Theoretical Physics (ETHZ) and the California Institute of Technology. His research interests center on computational aspects of sensory information processing, with a focus on collision detection in locusts as a model system. Key projects include studying the biophysical mechanisms underlying computations such as multiplication of signals and response invariance in the lobula giant motion detector (LGMD) neuron. His work bridges cellular biophysics and computational neuroscience, emphasizing how neuronal properties enable specific computations. His publications span topics like object segmentation in collision-detecting neurons, neural noise in sensory pathways, and the role of spike-frequency adaptation. Notable contributions include studies on looming stimuli, motor information multiplexing, and dendritic signal processing. His research underscores the integration of experimental and theoretical approaches to understand neural systems. While no awards or grants are explicitly listed, his extensive publication record reflects sustained contributions to neuroscience. He advises students in experimental and theoretical neuroscience, though specific advisee names are not provided here.

Thomas M. Powersمشاهده پروفایل

دانشیار

• Ethics of Artificial Intelligence
• Machine Ethics
• Philosophy of Technology
• +۳ مورد دیگر

Thomas M. Powers is an Associate Professor of Philosophy and Director of the Center for Science, Ethics & Public Policy at the University of Delaware. He holds affiliations with the Biden School of Public Policy & Administration, Data Science Institute, and Delaware Biotechnology Institute. His research focuses on ethics of information technology, artificial intelligence, machine ethics, and nanotechnology. He earned his Ph.D. in Philosophy from the University of Texas at Austin and a B.A. from the College of William and Mary. His work explores ethical dimensions of emerging technologies, including AI, robotics, and sociotechnical systems. Key interests include moral agency of machines, deontological ethics in AI, and the societal implications of technological advancements. He has authored or edited multiple books, including Philosophy and Computing (2017), and contributed to high-impact journals in ethics and technology. Powers has secured over $20 million in research funding, leading projects on AI ethics, autonomous systems, and nanotechnology. He serves on editorial boards for journals like Philosophy & Technology and advises international initiatives on AI governance. His service roles include leadership in professional organizations such as the International Association for Computing and Philosophy. He is a frequent speaker on ethics of AI, data science, and robotics at global conferences. His avocational interests include motorcycle and automobile restoration.