جستجوی استاد راهنمای دانشگاهی

Mark Priceمشاهده پروفایل

استاد

• Aerospace Engineering
• Mechanical Engineering
• Design Automation
• +۳ مورد دیگر

Professor Mark Price is a leading academic in engineering at Queen's University Belfast, holding the title of Professor of Aeronautics in the School of Mechanical and Aerospace Engineering. He specializes in aerospace engineering, mechanical engineering, and advanced manufacturing technologies. His research focuses on bio-inspired design, cloud-based manufacturing systems, and design automation. He has held key administrative roles, including Pro-Vice-Chancellor for Engineering and Physical Sciences (2015-2020) and Head of the School of Mechanical and Aerospace Engineering (2011-2015). Education: BEng (First Class Honours) in Aeronautical Engineering, Queen's University Belfast (1987) MEng in Engineering Computation, Queen's University Belfast (1988) PhD in Mechanical Engineering (Hexahedral Finite Element Mesh Generation), Queen's University Belfast (1993) Research Interests: Professor Price’s work explores disruptive design technologies, including bio-inspired generative design methodologies, cloud-based manufacturing systems, and sustainable engineering practices. His current projects include the EPSRC Programme Grant on 'Re-Imagining Engineering Design' and the 'Design the Future 2' initiative, which aim to integrate design and manufacturing processes inspired by natural systems. He has published over 240 articles and supervised 30 PhD students. Awards: 2006 Thomas Hawksley Medal from the IMechE Best Paper Gold Award (17th International Conference on Manufacturing Research, 2019) Best Paper Prize (Journal of Materials and Design, 2012) Advising & Grants: Supervised 30 completed PhD students Principal Investigator of EPSRC grants totaling millions Lead on international collaborations, including the UK-China E9 Consortium Labs & Teams: Professor Price leads the Re-Imagining Engineering Design project (EPSRC Programme Grant) and the Biohaviour initiative (EP/R003564/1). He is affiliated with the Research Centre in Sustainable Energy Aerospace and Manufacturing and has contributed to the Northern Ireland Advanced Composites and Engineering Centre (NIACE).

Olfa Lopez-D’Angeloمشاهده پروفایل

پژوهشگر

• Granular Rheology
• Additive Manufacturing
• Space Technology
• +۳ مورد دیگر

Dr. Olfa Lopez-D’Angelo is a researcher at the Department of Multiscale Simulation of Particulate Systems at Friedrich-Alexander-Universität Erlangen-Nürnberg. Her research focuses on granular rheology, additive manufacturing for space applications, and the behavior of materials under microgravity conditions. She leads the Rheologie granularer Materialien unter Weltraumbedingungen project (2023–2026), funded by the German Ministry for Economic Affairs and Climate Action (BMWK). Her work bridges theoretical physics, experimental engineering, and space technology. Key research interests include granular fluid dynamics, powder-based manufacturing processes in low-gravity environments, and the structural analysis of metamaterials. She has contributed to pioneering studies on acoustically propelled macroparticles and granular piston-probing in microgravity. Her interdisciplinary approach is evident in collaborations with institutions like ESA and DLR, as well as her involvement in projects such as the VIP-DROP2 module for droplet dynamics experiments. Awards: Granular Matter Gordon Research Conference Poster Prize (2022) ELGRA Research Prize (2021) Fly Your Thesis! 2019 (2018) ESA Networking/Partnering Initiative Fellowship (2017) Dr. Lopez-D’Angelo actively disseminates her work through international conferences (e.g., DPG, IAC) and public engagement initiatives, including the podcast Talk That Science . Her research emphasizes practical applications in space exploration, such as in-situ resource utilization and advanced manufacturing systems for extraterrestrial environments.

Jamey Jacobمشاهده پروفایل

استاد

• Aerodynamics
• UAV Design & Flight Testing
• Vortex Dynamics
• +۵ مورد دیگر

Jamey Jacob, Ph.D., P.E., is a Professor and John Hendrix Chair in Mechanical and Aerospace Engineering at Oklahoma State University, leading the Oklahoma Applied Research Institute (OAIRE). He holds a Ph.D. from UC Berkeley (1995), with earlier degrees from the same institution and the University of Oklahoma. His research focuses on aerodynamics, UAV design, vortex dynamics, geophysical flows, and autonomous systems. Notable projects include solar balloon flight dynamics, eclipse observations, and advanced air mobility (AAM) weather systems. Jacob has pioneered UAV-based weather sensing and developed innovative aerostructures, including inflatable systems. He has received over 15 prestigious awards, including the Regents Distinguished Teacher (2011) and Oklahoma Innovator of the Year (2010). His recent work emphasizes urban wind field mapping and stratospheric balloon applications for planetary science. Jacob’s lab, OAIRE, integrates aerospace engineering with environmental and operational challenges, advancing both academic and applied frontiers.

Jerome F. Hajjarمشاهده پروفایل

استاد

• Sustainable and Resilient Steel Structures
• Composite Steel/Concrete Structures
• Earthquake Engineering
• +۷ مورد دیگر

Jerome F. Hajjar is a University Distinguished Professor and CDM Smith Professor in the Department of Civil and Environmental Engineering at Northeastern University, with an affiliation in Marine and Environmental Sciences. He holds a PhD in Structural Engineering from Cornell University (1988) and is a licensed Professional Engineer in Illinois and Minnesota. PhD, Structural Engineering, Cornell University, 1988 MS, Structural Engineering, Cornell University, 1985 BS, Engineering Mechanics, Yale University, 1982 Hajjar’s research focuses on sustainable and resilient steel/concrete composite structures , earthquake engineering , structural stability , and large-scale experimental testing . He pioneered design for deconstruction and physics-guided machine learning for structural analysis. His work addresses climate change risks through offshore wind resilience and hurricane risk assessment. His recent publications emphasize carbon reduction strategies via steel-CLT hybrids, machine learning techniques for seismic modeling, and experimental programs on composite diaphragms. Hajjar’s projects include the STReSS Laboratory , equipped with a reinforced concrete strong floor for full-scale structural testing. 2025 William H. Wisely American Civil Engineer Award 2025 SSRC Distinguished Member Award 2021 AISC Lifetime Achievement Award 2018 Robert D. Klein Lectureship 2007 ASCE Fellow Hajjar mentors PhD students, including R. Bailey Bond (2024), and leads major initiatives like the Academic Center for Reliability and Resilience of Offshore Wind (ARROW) and the Steel Diaphragm Innovation Initiative . His advocacy extends to integrating sustainability, resilience, and equity into national building codes through roles in the Structural Engineering Institute and American Society of Civil Engineers.

• Eye Tracking Methodology
• Human-Computer Interaction
• Computer Graphics
• +۵ مورد دیگر

Andrew T. Duchowski is a Professor at Clemson University, specializing in Eye Tracking Methodology, Human-Computer Interaction, and Computer Graphics. His work spans over two decades with significant contributions to gaze-based interaction systems, foveated rendering, and cognitive load measurement. He authored three editions of the influential textbook Eye Tracking Methodology (Springer, 2003/2007/2017). Duchowski's research integrates eye movement analysis with applications in virtual reality, medical imaging (e.g., colonography viewers), and aviation safety. He actively collaborates with institutions globally and serves on editorial boards for journals like Proceedings of the ACM on Human-Computer Interaction . His recent projects include developing real-time gaze analytics pipelines and exploring entropy-based metrics for visual attention analysis. Publications (selected 15 recent): Focus on advancing gaze interaction in immersive environments, optimizing 3D visualization, and measuring cognitive load through pupillary activity and microsaccades. Key co-authors include Krzysztof Krejtz, Matias Volonte, and Donald House.

Marc Toussaintمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Marc Toussaint is Full Professor leading the Learning & Intelligent Systems Lab at TU Berlin's EECS Faculty. His research integrates machine learning, optimization, and AI reasoning to solve fundamental robotics problems like physical reasoning and human-robot interaction. He holds a physics diploma from University of Cologne and PhD from Ruhr-Universität Bochum. Key research themes include: Task-motion planning integration Reinforcement learning for robotics Physical simulation and control Probabilistic inference methods Recent publications focus on efficient kinodynamic planning, belief space planning under uncertainty, and neural policy learning. He develops open-source robotic tools like the 'robotic python package' used in academic courses worldwide. Toussaint collaborates with Amazon Robotics and MIT CSAIL, and has held positions at Max Planck Institute and University of Stuttgart.

• Software engineering
• Safety critical systems
• Formal methods
• +۷ مورد دیگر

Ana Lucia Caneca Cavalcanti is a Professor of Computer Science at the University of York, leading the SER research group with expertise in formal methods for safety-critical systems. Her work bridges theoretical software engineering with practical applications in robotics and autonomous systems, emphasizing verification and reliability. BSc in Computer Science, Universidade Federal de Pernambuco, Brazil (1987) MSc in Computer Science, Universidade Federal de Pernambuco, Brazil (1990) DPhil in Computer Science, Oxford University (1997) Her research centers on formal methods, safety-critical software engineering, and real-time systems, with recent focus on robotics. She develops semantic frameworks for refining and verifying complex systems, particularly in adaptive robotic control. Her methodologies address concurrency, object-orientation, and tooling to ensure correctness in high-stakes environments like autonomous vehicles. Current publications reveal a cohesive trend: applying process algebra and architectural patterns to robotic software verification. This work targets safety assurance in adaptive systems, integrating formal semantics with physical robot modeling to mitigate risks in autonomous decision-making. Scientific recognition includes: Royal Society Wolfson Research Merit Award She directs major funded initiatives including RoboSapiens (European Commission, 2024-2026) on human-robot symbiosis, DOMINOS (EPSRC, 2024-2025) for AI disruption mitigation, and the UK Trustworthy Autonomous Systems Verifiability Node (EPSRC, 2020-2024). These projects involve industrial collaborations with Labman Automation and RoboTest, focusing on verifiable safety frameworks. As SER research group lead, she oversees a team advancing formal verification techniques for next-generation autonomous systems, with active partnerships in the High Integrity Systems ecosystem at York.

Salvatore Livatinoمشاهده پروفایل

دانشیار

• Immersive Systems
• Virtual Reality (VR)
• Augmented Reality (AR)
• +۷ مورد دیگر

Salvatore Livatino is an Associate Professor in Virtual Reality and Robotics at the University of Hertfordshire, UK. He holds a MSc in Computer Science from the University of Pisa (1993) and a PhD in Computer Science and Engineering from Aalborg University, Denmark (2003). His academic journey includes roles as Research Fellow and Associate Professor at Aalborg University, as well as visiting positions at institutions like INRIA Grenoble and the University of Edinburgh. He leads the Communications and Intelligent Systems research group and directs the Virtual Reality and Robotics Laboratory. His research focuses on immersive technologies (VR/AR/XR), stereoscopic 3D visualization, and teleoperation systems for applications in robotics, healthcare, and command-and-control interfaces. He has contributed to over 30 peer-reviewed publications and secured funding for projects such as the Innovate UK-backed 'iDOC: AI Empowered Document Authoring' (2023–2025) and 'Immersion for Care: Using Extended Reality in Healthcare Training' (2025–2027). Teaching expertise includes problem-based learning, 3D visualization, and immersive game design. His work spans interdisciplinary collaborations in robotics, AI, and healthcare, emphasizing practical applications of virtual environments.

Ahmet Zafer ŞENALPمشاهده پروفایل

استاد

• Finite Element Analysis
• Metal Forming
• Plasticity Theory
• +۴ مورد دیگر

Prof. Dr. Ahmet Zafer ŞENALP is a Professor at the Department of Mechanical Engineering (English Program) at Doğuş Üniversitesi. He holds a PhD in Mechanical Engineering from ODTÜ (1998) and has extensive experience in CAD/CAM Robotics and metal forming processes. His academic career includes roles at Gebze Yüksek Teknoloji Enstitüsü (1999–2012 as Assistant Professor, promoted to Associate Professor by 2012) and Gebze Teknik Üniversitesi (until his retirement as an Associate Professor in 2019). His research focuses on finite element analysis, metal forming, plasticity theory, and ergonomic design. Education: BSc (1989), MSc (1991), and PhD (1998) in Mechanical Engineering from ODTÜ. He worked at ODTÜ CAD/CAM Robotics Center (1989–1998) and served in the military on the Panter Obüs project (1998–1999). Research Interests: Finite Element Analysis (FEA) applied to biomechanics, pressure vessels, prosthetics, and manufacturing processes. He also explores metal forming techniques, CAD/CAM integration, and material deformation mechanics. Publications span FEA-based studies on human joint forces, pressure vessel buckling, prosthetic design, and manufacturing optimization. His work often bridges computational methods with practical engineering challenges. Teaching includes courses on FEA fundamentals, mechanical vibrations, and design methodologies in both Turkish and English.

Ding Ze Yangمشاهده پروفایل

مدرس

• Industrial AI
• Deep Learning
• Data-Driven Modeling
• +۴ مورد دیگر

Dr. Ding Ze Yang is a Lecturer in the Department of Electrical and Robotics Engineering at Monash University Malaysia. He holds a PhD (2023) and Bachelor's degree (2019) in Engineering from the same institution. His research focuses on Industrial AI, emphasizing data-driven soft sensors for industrial process monitoring, with applications in manufacturing, energy, and logistics. He has published in journals like IEEE Transactions on Industrial Informatics and Soft Robotics. Education: PhD in Engineering, Monash University Malaysia (2019–2023) Bachelor of Engineering (Honours) in Electrical and Computer Systems Engineering, Monash University Malaysia (2015–2019) Research Interests: Industrial AI, deep learning, data-driven modeling, process monitoring, autonomous systems, and soft sensor development. His work addresses challenges in predictive maintenance, process optimization, and sustainable manufacturing through AI-driven solutions. Publications: Recent work includes contributions to soft sensor modeling, transfer learning for multi-agent systems, and Kalman filter optimization. These publications highlight advancements in industrial AI applications. Collaborations: Active collaborations include projects on soft robotics, energy storage systems, and autonomous transportation. He is open to supervising PhD students in these areas.

Jeremy P. Bosمشاهده پروفایل

استادیار

• Atmospheric Optics
• Statistical Optics
• Quantum Optics
• +۵ مورد دیگر

Jeremy P. Bos is an Assistant Professor in the Department of Electrical and Computer Engineering at Michigan Technological University. He serves as a Faculty Advisor for the Robotic Systems Enterprise and is affiliated with professional societies including SPIE (since 2011), OSA (since 2003), and IEEE. His work bridges engineering and optical sciences, with a focus on imaging through turbulent environments. PhD, Electrical Engineering (2012), Michigan Technological University MS, Electrical Engineering (2003), Villanova University BS, Electrical Engineering (2000), Michigan Technological University Dr. Bos’s research spans atmospheric optics , statistical optics , and quantum optics , with applications in image and signal processing , autonomous vehicles , and industrial automation . His work addresses challenges in imaging through atmospheric turbulence, including speckle noise mitigation, phase compensation, and adaptive optics. He also investigates machine intelligence for optimizing reconstruction algorithms. Recent publications highlight trends in non-Kolmogorov turbulence modeling , multiframe blind deconvolution (MFBD) , and hybrid adaptive optics systems . His studies focus on long horizontal-path imaging, anisoplanatic conditions, and performance metrics for turbulence correction. Scientific recognition includes: NRC Research Associateship Program Award CLEO 2012 Maiman Student Paper sEMI-Finalist Dr. Bos previously led the Paulding Lights Activity and contributed to SPIE student leadership committees. His expertise extends to electromagnetic compatibility (EMC) and RF system design , informed by industrial roles at General Motors, Johnson Controls, and Lockheed Martin.

• Robotics
• Bio-Inspired Robotics
• Swarm Intelligence
• +۷ مورد دیگر

Jordan Boyle is an Assistant Professor in the Department of Sustainable Design Engineering at the Faculty of Industrial Design Engineering, Delft University of Technology (TU Delft). He is affiliated with the Materializing Futures Section, where he conducts research in robotics, bio-inspired systems, swarm intelligence, and human-robot interaction. Academic Background: PhD in Computer Science, University of Leeds – focused on neuro-mechanical control of locomotion in C. elegans . MSc and BSc (Hons) in Electrical Engineering, University of Cape Town. Prior academic experience at the University of Leeds as Research Fellow, Lecturer, and Associate Professor over 12 years. Research Interests: Dr. Boyle’s research centers on robotics with a strong emphasis on bio-inspired design. His work spans swarm intelligence , multi-robot systems , human-robot interaction , and robotic fabrication . He also specializes in designing experimental apparatus for pre-clinical and engineering applications. His interdisciplinary approach integrates mechanical design, control systems, and AI for real-world deployment in construction, medicine, and infrastructure. Publication Trends: His recent publications (2022–2024) demonstrate a clear trajectory toward bio-inspired autonomous systems applied in construction and medical imaging. Key themes include swarm robotics for construction, MRI trajectory correction with robotic components, and locomotion mechanisms inspired by biological systems. These works reflect strong interdisciplinary collaboration, particularly with biomedical and mechanical engineering teams. Teaching: Product Engineering (2024, 2025) Advanced Product Engineering (2024, 2025) Scientific Affiliations and Activities: Visiting Researcher, School of Mechanical Engineering, University of Leeds (2022–2026) Advising and Grants: While no formal students or specific grants are listed in the provided text, Dr. Boyle has supervised research projects and collaborated across disciplines, particularly in medical and civil engineering applications. His role in designing experimental apparatus indicates active involvement in grant-funded interdisciplinary research. Labs and Research Groups: He is part of the Materializing Futures Section within Sustainable Design Engineering, which likely operates in conjunction with TU Delft’s broader design and robotics labs, though specific lab names are not mentioned.

Georg Jäggleمشاهده پروفایل

استاد

• Educational Robotics
• STEM Education
• Sustainability Education
• +۳ مورد دیگر

Prof. Georg Jäggle is a Professor of Vocational Education at the University College of Teacher Education Vienna (PH Wien), specializing in educational robotics, STEM pedagogy, and sustainability education. He leads the Department of Vocational Education within the Institute for Secondary Level Vocational Education (I:SBB). His work integrates technology-enhanced learning environments, focusing on project-based methodologies to bridge gaps between education and industry needs. Key projects include the Recycling Heroes initiative (2022–2024), which employs citizen science to promote circular economy awareness, and the EU-funded ER4STEM project (2017–2018), fostering STEM engagement through robotics. Prof. Jäggle holds a Dipl.-Ing. (FH) and a Dr. in engineering education, with prior industry experience as an engineer and vocational school teacher. His research emphasizes digital competence development, intergenerational learning, and inclusive education strategies. He has coordinated interdisciplinary teams across 10+ EU and national projects, including RoboCoop (2018–2022) and Makers@school (2017–2019), which implemented robotics and maker culture in schools. His teaching spans applied mathematics, engineering, and automation technology at both academic and vocational levels. Research interests include technology integration in vocational training, lifelong learning frameworks, and the impact of educational robotics on student motivation. Recent publications (2022–2024) explore STEM career self-efficacy, sustainability curriculum innovation, and cross-generational robotics collaboration. He currently serves in the Center for Research Management (Zentrum Forschungsmanagement) at PH Wien, advancing applied research in MINT (STEM) education and educational technology.

• Vehicle Dynamics
• Autonomous Vehicles
• Human Driver Dynamics
• +۴ مورد دیگر

Daniel Williams is a Professor of Engineering Practice at the School of Mechanical Engineering, Purdue University, based in West Lafayette, Indiana. His research focuses on vehicle dynamics, autonomous systems, and human-machine interaction in transportation. Williams holds a Ph.D. in Mechanical Engineering from Florida Institute of Technology (1995), an MBA from the same institution (1990), and additional degrees in History (Purdue, 2008) and Agricultural Engineering (University of Illinois, 1985). His research interests include vehicle chassis control systems, autonomous vehicles, and human driver dynamics. He has contributed to advancements in multi-axle vehicle design, active suspension systems, and safety mechanisms. Williams is a Fellow of SAE, ASME, and IMechE, and has received prestigious awards such as the Magnus Hendrickson Award (2020) and Hyundai Distinguished Lecturer designation (2014, 2018). His publications span topics like steering redundancy, roll stability, and historical control innovations, reflecting a blend of theoretical and applied engineering. Williams remains active in both academic research and industry collaborations, particularly in motorsports and transportation robotics.

• Orthopedic Surgery
• Biomechanics
• Medical Robotics
• +۳ مورد دیگر

Thomas Luyckx is a Visiting Lecturer in the Department of Development and Regeneration at KU Leuven. His work focuses on advanced orthopedic surgical techniques, particularly in knee reconstruction and biomechanics. University: KU Leuven Department: Department of Development and Regeneration Academic Rank: Lecturer Research Interests include: Robot-assisted total knee arthroplasty (TKA) Kinematic alignment strategies for TKA Anterior cruciate ligament (ACL) reconstruction biomechanics Finite element analysis of knee implants 3D patient-specific surgical planning Publication Trends highlight his contributions to evaluating robotic-assisted TKA, kinematic alignment methodologies, and ACL reconstruction outcomes. His work spans clinical studies, biomechanical modeling, and comparative analyses of surgical techniques. Projects involve collaborations on tissue-engineered cartilage repair, clinical outcome assessments, and biomechanical simulations. He serves as co-promotor in ongoing research until 2027.