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Ole BallingView profile

Professor

• Multibody Dynamics
• Wind Turbine Engineering
• Operational Modal Analysis
• +4 more

Ole Balling is a Professor at the Department of Mechanical and Production Engineering, Aarhus University, Denmark, specializing in multibody dynamics and vibration analysis. His work bridges theoretical mechanics with practical applications in renewable energy and agricultural systems, leveraging advanced computational modeling for industrial-scale engineering challenges. His primary research interests include Multibody Dynamics for structural simulation, Operational Modal Analysis in rotating machinery, Wind Turbine Engineering (focusing on gearboxes and blades), and Soil-Vehicle Interaction for agricultural/military applications. He also develops Digital Twin frameworks for agricultural vehicles and investigates Vibration Control in robotic systems, with strong emphasis on experimental validation and energy-efficient design. Recent publications (2020-2023) reveal concentrated expertise in offshore wind turbine reliability (gear microgeometry, tower vibrations), soil mechanics modeling (aggregate fracture, drawbar pull testing), and autonomous vehicle mobility frameworks. A recurring theme is the application of operational modal analysis to diverse systems—from parallel manipulators to wind turbine hubs—demonstrating cross-domain adaptability of his core methodologies in dynamics and control. Scientific Awards: No awards documented in source materials. Grants and project leadership highlight sustained NATO collaboration, including the ongoing Next Generation NATO Reference Mobility Model (NG-NRMM) (extending to August 2025) and Mobility Assessment Methods for Autonomous Military Ground Systems . Past projects include INNOMILL (2015-2018) for large-component machining, BioXtek (2014-2017) for agricultural technology, and Low Bottom Soft Soil Modeling (2013-2017) for terrain damage reduction. He operates within the Mechatronics and Dynamics section of the department, utilizing laboratories for vibration testing, soil mechanics experiments, and multibody simulation. Current work focuses on autonomous military vehicle assessment and wind turbine gearbox optimization, with future projects targeting energy-efficient accelerator magnets and large-scale machining cell development.

• Geospatial Digital Twins
• Virtual Geographic Environments
• Remote Sensing
• +7 more

Jun Zhu is a professor at the Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China. His research is centered on geospatial digital twins, virtual geographic environments, and intelligent visualization for disaster risk management, with strong interdisciplinary work in AI, remote sensing, and VR-based simulation. His research interests include: Geospatial Digital Twins Virtual Geographic Environments AI for Remote Sensing 3D and VR-based Disaster Visualization Knowledge Graphs in GIS Public Risk Communication The recent articles (2023–2025) demonstrate a strong trend in integrating large language models, knowledge graphs, and deep learning with geospatial data to build intelligent, interactive, and immersive systems for infrastructure monitoring, disaster simulation, and public engagement. His work emphasizes data-knowledge fusion, human-centered visualization, and real-world applicability in urban and environmental contexts. Scientific Awards: No awards listed in the provided text. Advising and Grants: While Jun Zhu has extensive collaboration with researchers such as Weilian Li, Qing Zhu, Yakun Xie, and Jianbo Lai, and appears to lead research projects, there is no explicit mention of student advising, grant funding, or project titles in the provided data. Labs and Teams: Jun Zhu is likely part of a research group focused on digital twins and geospatial AI at Southwest Jiaotong University, collaborating closely with colleagues in geoinformatics and remote sensing, though specific lab names are not mentioned.

James T. BurnsView profile

Associate Professor

• Fracture Mechanics
• Physical Metallurgy
• Hydrogen Embrittlement
• +3 more

James T. Burns is an Associate Professor of Materials Science and Engineering at the University of Virginia's School of Engineering and Applied Science, holding the Copenhaver Fellowship. His research focuses on environmental degradation mechanisms in high-performance alloys, particularly steel, aluminum, titanium, and nickel-based materials produced via traditional and additive manufacturing. He explores intersections of metallurgy, mechanics, and electrochemistry to address challenges in infrastructure, aerospace, automotive, energy, and biomedical fields. Burns earned his B.S. from the US Air Force Academy (2002), M.S. (2006), and Ph.D. (2010) in Materials Science from UVA. His research interests include Fracture Mechanics, Physical Metallurgy, Hydrogen Embrittlement, and Additive Manufacturing. Recent work examines stress corrosion cracking in additively manufactured alloys and the role of hydrogen in material failure. He leads the Burns Research Group, emphasizing mechanistic understanding of degradation to inform engineering solutions. Burns has received awards including the HH Uhlig Award (2021), NASA Engineering Safety Center's Engineering Excellence Award (2019), and the AFOSR-Young Investigator Research Grant (2016). He serves on editorial boards for International Journal of Fatigue and Engineering Fracture Mechanics . His research integrates computational models with experimental data, such as fatigue crack propagation analysis and corrosion-electrochemical interactions. Ongoing projects include developing lifetime prediction models for nuclear waste storage canisters and corrosion-resistant coatings for Al-Mg alloys. Burns collaborates with industry and government agencies on applied materials challenges.

Ghasan DoudakView profile

Professor

• Structural Engineering
• Earthquake Engineering
• Wind Engineering
• +6 more

Ghasan Doudak is a Professor of Structural Engineering at the University of Ottawa’s Faculty of Engineering, Department of Civil Engineering. He currently serves as Vice-Dean of EDI and Governance. His expertise spans structural systems’ multi-scale analysis, including windstorm, earthquake, and blast resistance in timber and hybrid buildings. He holds a Ph.D. from McGill University, an M.Sc. from the Technical University of Denmark (DTU), and a BASc from DTU. His research focuses on mid-rise wood buildings, blast-resistant design, and code development, supported by collaborations with institutions like the NSERC Strategic Network on Innovative Wood Products and Building Systems (NEWBuildS). Key research areas include timber structure behavior under dynamic loads, CLT shearwall performance with openings, and energy-absorbing connections. He has advised on national and international standards, including CSA 086 and CSA S850. Notable achievements include the 2008 Forest Products Laboratory Young Engineer Award for contributions to wood engineering. Dr. Doudak’s work bridges academia and industry, with past roles at the Canadian Wood Council shaping construction codes. His lab collaborations include the University of New Brunswick, ETH Zurich, and Penn State. Current projects emphasize sustainable retrofitting using mass timber and enhancing seismic resilience in light-frame buildings.

Susan Teubner-RhodesView profile

Assistant Professor

• Cognitive Neuroscience
• Language Processing
• Aging and Cognition
• +6 more

Susan Teubner-Rhodes is an Assistant Professor in the Department of Psychological Sciences within the College of Liberal Arts at Auburn University. She leads the Language, Attention and Memory Lab and is actively engaged in research on cognitive neuroscience, language processing, and aging. Her work bridges psychology and neuroscience, focusing on how the brain supports language and cognition across the lifespan. Research Interests: Dr. Teubner-Rhodes investigates the cognitive and neural mechanisms underlying language processing, particularly in challenging listening environments and during aging. Her research emphasizes conflict monitoring , cognitive persistence , executive function , and the impact of bilingualism on brain function. She explores how older adults adapt cognitively to hearing loss and noisy environments, using neuroimaging and behavioral methods. The recent publications highlight a consistent focus on speech recognition in noise , neural correlates of attention and memory , and cognitive control in bilingual populations . Her work frequently appears in top journals such as Cognition , NeuroImage , and Psychonomic Bulletin & Review , reflecting strong interdisciplinary impact in psychology, neuroscience, and audiology. Mentoring and Grants: Dr. Teubner-Rhodes is deeply committed to mentoring. She serves as a primary research mentor for the NIH T32 G-RISE program, mentors students from Alabama State University through an NIH/NIA R25 grant, and leads outreach initiatives including AU Brain Camp and the SCOPE program. These efforts support underrepresented students in pursuing careers in psychology and neuroscience. Labs and Teams: She directs the Language, Attention and Memory Lab at Auburn University, where she trains graduate students and conducts cutting-edge research on cognition and language. The lab integrates behavioral experiments, neuroimaging, and cognitive modeling to understand brain-behavior relationships.

Jan Aage AasenView profile

Associate Professor

• Drilling Engineering
• Wellbore Integrity
• Zonal Isolation
• +7 more

Jan Aage Aasen is an Associate Professor in Drilling at the University of Stavanger, affiliated with the Faculty of Science and Technology and the Department of Energy and Petroleum Technology. His research focuses on drilling engineering, wellbore integrity, and sustainable materials for oil and gas applications. Research Interests: His work spans drilling mechanics , wellbore integrity , zonal isolation , and geopolymer-based cementing . He investigates advanced materials for plugging and abandonment, long-term cement performance, and 3D tubular design for critical wells. His research combines experimental validation with computational modeling, especially in annular flows and pressure control systems. Publication Trends: Recent publications emphasize sustainable alternatives like geopolymers for well sealing, reflecting a growing focus on environmental performance in drilling operations. Earlier works focus on mechanistic modeling of tubulars, buckling behavior, and multistring well analysis, showing a long-standing expertise in structural well design. Scientific Awards: No awards are listed in the provided text. Advising and Grants: While no formal list of students is provided, Dr. Aasen collaborates extensively with researchers such as Mahmoud Khalifeh, Arild Saasen, and Hans Joakim Skadsem, suggesting active supervision and mentorship. His work appears to be supported by institutional and industry-aligned grants, particularly in areas of well integrity and sustainable drilling technologies. Labs and Teams: He is part of a research group focused on drilling and well technology at the University of Stavanger, contributing to experimental and computational studies on wellbore flows, casing design, and cement performance.

• Mechanical Engineering
• Additive Manufacturing
• Finite Element Analysis
• +3 more

Slawomir KEDZIORA is an Associate Professor of Mechanical Engineering and Design at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computer-Aided Engineering & Additive Manufacturing research group. He serves as the Study Program Director for the Master's in Sustainable Product Creation. His expertise spans additive manufacturing, machine design, and structural analysis, with over 50 peer-reviewed publications and active industry collaborations. Education: PhD in Applied Mechanics (2000) from the Technical University of Lodz, followed by roles as an assistant professor and industry engineer at Delphi, Eaton, and DNV GL. His industry experience focused on reliability and stress engineering for mechanical/civil structures before joining academia in 2014. Teaching: Leads Machine Design courses across undergraduate and graduate programs, including Machine Design I-III (undergraduate), Machine Design Projects (master's), and civil engineering design exercises (2014–present). Supervised four completed PhD students and currently advises three more. Research: Priorities include additive manufacturing innovations, material modeling, and biomechanical testing setups for pelvic fractures. Active in developing functionally graded lattice structures and optimizing hydrogen valve designs for aerospace applications. Industry Collaboration: Engages in R&D projects with industry partners, focusing on material characterization and structural optimization. Leads efforts to bridge academic research with industrial applications in manufacturing and mechanical design.

Saeid NahavandiView profile

Professor

• Artificial Intelligence
• Robotics and Haptics
• Autonomous Systems
• +4 more

Roles and Affiliations: Distinguished Professor Saeid Nahavandi is the inaugural Associate Deputy Vice-Chancellor (Research) and Chief of Defence Innovation at Swinburne University of Technology. He leads defence innovation and research strategy, with a focus on autonomous systems, robotics, and AI. Previously, he served as Pro Vice-Chancellor (Defence Technologies) at Deakin University and founded its Institute for Intelligent Systems Research and Innovation. Research Focus: Specializes in robotics, haptics, autonomous systems, AI, and advanced modelling/simulation. His work bridges academia and industry, with collaborations spanning Airbus, Boeing, NASA, and NATO. He has secured over $150M in funding and established three tech startups. Key research areas include motion simulation, teleoperation systems, and defence technologies. Articles Overview: Over 1,300 publications span AI, robotics, and control engineering. Recent work emphasizes autonomous navigation reviews, uncertainty-aware AI, and motion cueing algorithms. His research addresses real-world applications like driver distraction detection and robotic ultrasound. Awards and Recognition: Recipient of the 2022 Clunies Ross Entrepreneur of the Year Award, 2021 Australian Space Awards Researcher of the Year, and multiple engineering excellence accolades. A Fellow of ATSE, IEEE, and other leading institutions. Grants & Industry Impact: Led ARC Training Centres for automated vehicles and energy storage. Notable grants include a $15M ARC Training Centre for Automated Vehicles in Rural/Remote Regions (2024–2029). Collaborates globally on defence, aerospace, and smart transportation projects. Labs & Teams: Heads Swinburne’s Defence Innovation Group and collaborates with Harvard University (as an Associate) and the University of Windsor (adjunct professor). Advises governments and industries on technology strategy and innovation.

Alexander VerlView profile

Professor

• Industrial Robotics
• Control Engineering
• Mechatronics
• +5 more

Prof. Dr.-Ing. Alexander Verl is a leading academic at the University of Stuttgart , serving as Principal Investigator at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) . His work bridges control engineering , industrial robotics , and digital twin technologies to enhance precision in manufacturing systems. Research Interests : Improving positioning accuracy of industrial robots through transmission error modeling and compliance compensation. Developing adaptive preload control mechanisms for cable-driven parallel robots and rack-and-pinion systems. Advancing IT/OT convergence via Time-Sensitive Networking (TSN) and cloud-edge integration. Creating digital twin platforms for real-time simulation and quality monitoring in CNC machining. Exploring deep learning applications for perception of deformable linear objects in automation. Recent Work Trends show expertise in: smart manufacturing , Industry 4.0 , and data-driven control systems . Publications emphasize practical validation through industrial testbeds (e.g., KUKA KR210–2 robotics, CNC machine simulations) and theoretical contributions to elastokinematic models and nonlinear dynamics . Advising & Grants : Collaborates extensively with researchers like Armin Lechler and Michael Neubauer. Projects funded through academic-industry partnerships in automotive production, precision engineering, and Gaia-X-based data ecosystems.

Pascal MindermannView profile

Researcher

• Coreless filament winding
• Additive manufacturing
• Fiber-reinforced composites
• +3 more

Pascal Mindermann is a postdoctoral researcher at the Institute for Textile and Fiber Technologies (ITFT) within the Cluster of Excellence IntCDC at the University of Stuttgart, Germany. His work focuses on coreless filament winding (CFW) for lightweight structures made of fiber composites, bridging computational design, engineering, and fabrication. Role: Postdoctoral Researcher Department: Institute for Textile and Fiber Technologies University: University of Stuttgart His research explores advanced manufacturing techniques like CFW, with applications in architecture, aerospace, and sustainable construction. Key areas include multi-scalar design frameworks , reciprocal feedback systems , and cross-industry technology transfer . Recent projects address planetary sunshade satellites , hybrid composite/metal structures , and material gradient innovations for space and lunar utilization. Publications highlight CFW advancements in structural performance , sensor integration , and digital workflows . Collaborations span institutions like the Fraunhofer IST and TU Braunschweig, with emphasis on robotic fabrication , cyber-physical systems , and bio-inspired design principles . No explicit scientific awards or student advising details are provided in the texts.

Mark BurkhardtView profile

Researcher

• Control Systems
• Mechanical Engineering
• Automation and Robotics
• +3 more

Mark Burkhardt is a doctoral researcher and research associate at the Institute for System Dynamics within the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on control systems and automation technologies for construction machinery, particularly tower cranes. Current affiliation: Institute for System Dynamics, University of Stuttgart Academic rank: Researcher Specializations: Crane control systems, cyber-physical construction platforms, automation of timber structures Research Interests: Burkhardt's research spans control systems engineering, automation technologies, and cyber-physical systems. His work addresses critical challenges in: Load sway damping for top-slewing cranes Path planning and absolute positioning of tower cranes Modeling and control of collaborative crane systems Development of novel grab systems for construction automation Georeferenced payload tracking Multi-agent crane coordination Teaching: He has taught courses on system dynamics, control theory, and programming since 2019, including: "Flache Systeme" (Flat Systems) "Systemdynamische Grundlagen der Regelungstechnik" (System Dynamics Fundamentals of Control Engineering) "Einführung in die Programmiersprache C" (Introduction to C Programming) "Praktikum Automatisierungstechnik/Systemdynamik" (Automation/System Dynamics Practical) Education: He holds an M.Sc. in Technical Cybernetics from the University of Stuttgart (2016-2019) and a B.Sc. in the same field (2013-2016).

• Aerospace Engineering
• Computational Methods
• Control Systems
• +3 more

Prof. İbrahim Özkol, a distinguished faculty member at Istanbul Technical University, serves in the Department of Aeronautical Engineering. With over 115 research outputs and a Scopus h-index of 23, his work spans aerospace propulsion systems, fractional calculus modeling, and advanced control algorithms. Research Interests: Fractional-order modeling of aerospace systems Green monopropellant thruster optimization Flight control systems and stability analysis Lightning-induced structural damage modeling Reinforcement learning for flight envelope protection Scientific Achievements: Recipient of the 2015 Boeing Career Award PI for 20+ research projects (2013-2025) 115+ peer-reviewed publications His recent work focuses on stealth maneuver generation for non-stealth aircraft, entropy generation in rotating flows, and fractional dynamics in mechanical systems. Collaborations extend across academia and industry, particularly with TTO (Turkish Aerospace Industries) and TUSAŞ.

Shun CaoView profile

Assistant Professor

• Agent-Based Modeling
• Social Systems
• Complex Networks
• +5 more

Shun Cao is an Assistant Professor in the Department of Information Science Technology at the University of Houston. His research spans complex systems, agent-based modeling, and data-driven decision-making, with applications in transportation, sports analytics, and organizational behavior. Affiliation: Department of Information Science Technology, University of Houston Academic Rank: Assistant Professor Contact: scao7@central.uh.edu Shun Cao's research interests include: Agent-Based Modeling Complex Social Systems Leadership Dynamics Sports Analytics Data-Driven Decision-Making Manufacturing Process Optimization His scholarly contributions focus on modeling collective behaviors in traffic systems, analyzing team dynamics in sports, and understanding leadership emergence through conversational interruptions. He also explores data-driven approaches to manufacturing process optimization using machine learning techniques. Shun Cao teaches courses in production operations (TLIM 4341) and social systems modeling (TLIM 4397). His work integrates computational methods with real-world applications, as evidenced by his Google Scholar profile.

Yojiro IshinoView profile

Professor

• Thermal Engineering
• Fluid Engineering
• Combustion Engineering
• +5 more

Professor Yojiro Ishino is a distinguished faculty member at Nagoya Institute of Technology, serving in the Department of Electrical and Mechanical Engineering, Mechanical Engineering Field within the Graduate School of Engineering. With a Doctor of Engineering degree from Nagoya Institute of Technology, he has established himself as a leading researcher in thermal and fluid engineering, with particular expertise in combustion diagnostics and microfluidics. His research interests span Thermal and fluid engineering Combustion diagnostics using advanced CT methods Microjet and microfluidic phenomena Energy conversion systems Environmentally conscious combustion technologies including ammonia burners His work has significantly advanced the field of combustion visualization through the development of multi-directional schlieren imaging and 3D-CT techniques for capturing instantaneous flow fields. Professor Ishino's recent publications demonstrate a strong focus on high-precision measurement techniques for combustion phenomena, with particular emphasis on micro-scale flows and environmentally friendly fuel systems. His research group has made notable contributions to understanding supersonic microjets, equivalence ratio distributions in premixed gases, and innovative approaches to noise reduction in optical diagnostics. A significant portion of his recent work addresses environmentally conscious combustion technologies, particularly the development of ammonia-based burners as alternative fuel systems. His scientific achievements have been recognized with numerous awards including: FELLOW of The Japan Society of Mechanical Engineering Best Research Paper Award from American Society of Thermal and Fluids Engineers Multiple Excellent Poster Presentation Awards from the Automobile Technology Association Best Presentation Award from the Combustion Society of Japan Professor Ishino has secured significant research funding, including Grants-in-Aid for Scientific Research, and maintains active collaborations with industry partners such as Narita Seito and Kato Ironworks Burner Manufacturing. His current research projects focus on environmentally considerate ammonia gas burners and vibration-free engine technologies. He also holds multiple patents related to burners, vibration-free mechanisms, and wearable devices for thermal haptics. As an educator, Professor Ishino teaches courses in combustion engineering, engine engineering, and thermal fluid measurement techniques, with a commitment to hands-on learning through flame demonstrations and equipment disassembly practice.

Marko KnezevicView profile

Professor

• Computational Materials Science
• Crystal Plasticity
• Multi-scale Modeling
• +4 more

Marko Knezevic is a Professor in the Department of Mechanical Engineering at the University of New Hampshire (UNH), joining the faculty in spring 2013. His prior experience includes roles as a principal research scientist at Scientific Forming Technologies Corporation (2009-2011), developing the DEFORM finite-element software for manufacturing analysis, and as a LANL Seaborg Institute Postdoctoral Fellow at Los Alamos National Laboratory (2011-2013). His educational background includes: Ph.D. in Materials Engineering from Drexel University M.S. from University of Novi Sad B.S. from University of Novi Sad Prof. Knezevic's research integrates computational methods and experiments to understand materials behavior under complex loading. He develops constitutive models and high-performance computational applications for multi-scale prediction of materials response, with emphasis on microstructural design, component manufacturing, and fracture mechanics. His work bridges fundamental crystal plasticity theory with industrial applications in additive manufacturing and structural materials. Recent publications (2025) demonstrate strong focus on crystal plasticity modeling of metals, neural network-enhanced multi-scale simulations, and additive manufacturing optimization. Key trends include strain-induced phase transformations in steels, strength-ductility tradeoffs in Al-Ce alloys, fatigue performance of additively manufactured components, and advanced modeling of hexagonal metals like magnesium and titanium. He teaches doctoral research courses (IAM 999, ME 999, MS 999) alongside specialized courses including Fracture Mechanics (ME 726/826), Continuum Mechanics (ME 922), and Computational Mechanics of Materials (ME 795/995). While specific grant details aren't provided, his research scope implies substantial federal and industry funding in computational materials science. Information about dedicated laboratories or research teams isn't specified in available sources, though his publications suggest collaborations with national laboratories and materials-focused research groups.