جست‌وجوی استاد و پژوهشگر

Mark Quinnمشاهده پروفایل

مدرس ارشد

• Experimental Aerodynamics
• Flow Diagnostics
• Optical Methods
• +۴ مورد دیگر

Dr. Mark Quinn is a Senior Lecturer in Mechanical and Aerospace Engineering at the University of Manchester, specializing in experimental aerodynamics and flow diagnostics. He holds Chartered Engineer status and is Programme Co-Director of the Undergraduate Aerospace Engineering program. His expertise includes optical flow diagnostics (schlieren, PIV, PSP), image processing, and compressible aerodynamics. Quinn has conducted research at the Aircraft Research Association, focusing on industrial collaborations and funded projects from organizations like the European Commission and ESA. He actively seeks cross-disciplinary research opportunities in experimentation and image processing. Education: MEng(Hons) in Aerospace Engineering (2009) and PhD in Experimental Aerodynamics (2013), both from the University of Manchester. Research interests span flow diagnostics techniques, unsteady aerodynamics, and miniaturized flow measurement systems. He has developed innovative methodologies such as simultaneous shape/pressure measurement using pressure-sensitive paint and fringe profilometry. Current projects include modular flow diagnostic systems, ramjet unstart mechanisms, and high-speed PSP sensor development. Key achievements include a Teaching Excellence Award (2022) and leadership in academic-industrial partnerships. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, and industry, innovation, and infrastructure.

KHOO Boo Cheongمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Numerical Methods
• +۷ مورد دیگر

Professor KHOO Boo Cheong is a faculty member in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. He holds a BA (Hons.) from the University of Cambridge (1980), an MEng from NUS (1984), and a PhD from MIT (1989). His research focuses on Computational Fluid Dynamics (CFD) , Numerical Methods , and Fluid Mechanics , with applications to aerodynamics, turbulence, and fluid-structure interaction. Recent work emphasizes machine learning integration in CFD, bio-inspired UAV design, and icing mechanics for aerospace systems. Key research trends include advancing high-fidelity simulations for complex flows (e.g., turbulence modeling, cavitation suppression), optimizing fluid-structure systems (e.g., lightweight shells, train aerodynamics), and developing novel experimental techniques (e.g., light field PIV, wind spectra analysis). His contributions bridge theoretical CFD innovations with practical engineering challenges in transportation, renewable energy, and robotics. Professor Khoo collaborates on projects involving pressure gain combustion systems , ventilated supercavitating models , and quantum algorithms for fluid dynamics . His lab’s work often combines advanced numerical modeling with experimental validation, addressing real-world issues like wind effects on trains, ice accretion on airfoils, and autonomous navigation systems.

• Aerodynamics
• Fluid Mechanics
• Optics
• +۷ مورد دیگر

Associate Professor Nicholas Lawson is affiliated with the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering, specifically within the Department of Aerospace Engineering. His academic rank is Associate Professor. Previously, he held a Chair in Aerodynamics and Airborne Measurement at Cranfield University (UK), where he also served as Head of the National Flying Laboratory Centre. He is a Visiting Professor at Cranfield and a member of the Sydney Nano Institute and the Net Zero Institute. Education: PhD in Optics and Fluid Mechanics from Loughborough University (UK), supported by Rolls-Royce plc. Post-doctoral research at the University of Melbourne (2000-2004), followed by roles at Cranfield University from 1999 to 2021 before moving to Sydney. Research focuses on optical methods (PIV, LDA, FRS), unsteady aerodynamics, fiber-optic sensors for airborne measurements, and collaboration with industry partners like Rolls-Royce, Airbus, and Meggitt. Key projects include EU SINATRA (aircraft intake flow measurement) and Defense Innovation Network-funded initiatives. Teaching: Leads undergraduate modules AERO2703 and AERO2710 at Sydney. Supervises 5 PhD students (as of 2023). Over 150 MSc projects supervised at Cranfield. Awards: Queens Anniversary Prize (2020) for contributions to higher education. Professional affiliations include Fellowships with the Royal Aeronautical Society and Higher Education Academy. Grants: Includes Wind Tunnel Upgrade (2024), UAV Failure Mode Recognition (2022), and E2EEHM (2016). Active in flight-testing and sensor development for aerospace applications.

• Aerospace Engineering
• Aeroelasticity
• Topology Optimization
• +۳ مورد دیگر

Dr Gareth Vio is a Senior Lecturer at The University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering. He holds a PhD in Aeronautical Engineering from The University of Manchester (2005) and a Bachelor's in Aerospace Engineering (1999). His research focuses on nonlinear aeroelasticity, topology optimization, and structural dynamics. He is a member of The Net Zero Institute. Research interests include shock wave interaction, energy harvesting, and experimental aeroelasticity. Teaching includes courses like Aerodynamics, Vibration and Acoustics, and Flight Mechanics. Recent work spans crew return vehicle design, transonic buffet analysis, and wearable sensor applications in sports biomechanics. Publications highlight contributions to topology optimization, fluid-structure interaction, and structural health monitoring. Advising focuses on flow characteristics of structural protuberances. Collaborations include industry and academic partners in aerospace and sports science.

Thomas Baarمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Verification
• Model-Driven Engineering
• +۳ مورد دیگر

Prof. Dr. Thomas Baar is a Professor at HTW Berlin, specializing in cyber-physical systems, formal verification, and model-driven engineering. His research focuses on hybrid systems, automated driving platforms like CeCar, and improving usability of verification tools such as KeYmaera. He contributes to software engineering education and legacy system modernization through domain-specific languages (DSLs) and graphical editors. Baar's work spans academia and industry, with collaborations in aerospace safety, multiagent systems, and cybersecurity for control systems. His research interests include formal methods for hybrid systems, software reliability, and educational platforms for autonomous systems. He has published extensively on topics like verification frameworks, syntax improvements for formal tools, and safety analysis methodologies. His interdisciplinary approach bridges theoretical computer science with practical applications in aerospace, automotive, and industrial automation. Key contributions include the CeCar platform for autonomous driving research, modularization enhancements for KeYmaera, and DSL-based solutions for legacy software maintenance. Baar collaborates with institutions like the IFAF Berlin and participates in EU-funded projects focusing on smart cities and sustainable technologies. His publications reflect a strong emphasis on verification techniques, with over 15 peer-reviewed articles since 2015. He is affiliated with the HTW Berlin's Wilhelminenhof Campus and actively engages in knowledge transfer initiatives to bridge research and industry needs.

Clemens Westerkampمشاهده پروفایل

استاد

• Computer Science
• Intelligent Distributed Systems
• Industry 4.0
• +۵ مورد دیگر

Prof. Dr.-Ing. Clemens Westerkamp is a full-time professor in the Faculty of Engineering and Computer Science at Osnabrück University of Applied Sciences . With a Ph.D. in Electrical Engineering from Leibniz University Hannover (1996), his career spans academia and industry, including roles as R&D VP at Algovision Systems GmbH and development leader at Controlware GmbH. Research Focus: Applied research in intelligent distributed systems , Industry 4.0 , and IoT , particularly in agricultural contexts. Key projects include PACE (Ambient Communication Systems) and collaborations with Airbus, Stanford University, and agritech firms. Selected Scientific Contributions: Co-author of DIN SPEC 16593 for Industry 4.0 service architectures EU reviewer for Aeronautics and Innovative Training Networks Key member of Industrial Informatics (INDIN) research network Recent Publications analyze satellite networks for agriculture, friction modeling for autonomous systems, and energy-aware embedded software. His work bridges theoretical models with practical implementations in smart farming and remote engineering.

Thomas Albertsمشاهده پروفایل

استاد

• Mechanical Engineering
• Aerospace Engineering
• Control Systems
• +۸ مورد دیگر

Summary Thomas Alberts is a Professor & Interim Director in the Department of Mechanical and Aerospace Engineering at Old Dominion University (ODU). He holds a Ph.D. in Mechanical and Aerospace Engineering from Georgia Institute of Technology (1986), an M.S. and B.S. in Mechanical Engineering from the University of Wisconsin-Milwaukee (1983, 1982). His research focuses on control systems, robotics, structural dynamics, and Maglev technologies, with over 50 publications and $10M+ in grants. Key projects include the Urban Maglev Project and electromagnetic suspension systems. Educations: Ph.D. in Mechanical and Aerospace Engineering, Georgia Tech (1986) M.S. in Mechanical Engineering, University of Wisconsin-Milwaukee (1983) B.S. in Mechanical Engineering, University of Wisconsin-Milwaukee (1982) Research Interests: Maglev systems, active/passive control of flexible structures, robotics, vibrations, biomedical applications, and aerospace engineering. His work emphasizes practical applications in transportation, energy, and healthcare. Grants & Awards: Over $1.9M for the Urban Maglev Project (2002–2005) Excellence in Industrial Partnership Award (2010) Outstanding Faculty Award (1988) Multiple fellowships and visiting scholar roles (1990s) Publications: 15+ recent articles span Maglev control, robotic systems, biomedical engineering, and structural dynamics. Notable work includes hybrid position feedback control and ANN-based quadrotor control. Lab & Teams: Involved in Maglev system development and collaborations with industry (e.g., Bauer Compressors, NASA Langley). Member of the MAE Advisory Council.

Kathleen Keoghمشاهده پروفایل

مدرس

• Artificial Intelligence
• Multiagent Systems
• Human Behavior Modeling
• +۳ مورد دیگر

Dr. Kathleen Keogh is a Lecturer in Information Technology at Federation University Australia, specializing in intelligent software agents and multiagent systems. She coordinates the Bachelor of IT (Professional Practice) program, integrating industry internships with IBM and Kyndryl. Her research focuses on modeling human behavior through agent-based systems, particularly in dynamic environments requiring improvisation. She holds a PhD from the University of Melbourne (2019), with prior qualifications including a Master of Science (2002) and Bachelor of Science (Honours) (1988). Education: PhD (Computer Science), University of Melbourne (2019) MSc (Cognitive Science), University of Melbourne (2002) BSc(Hons) (Computer Science), James Cook University (1988) DipEd (Adult Education), Australian Catholic University Research Interests: Her work emphasizes agent coordination in complex scenarios, such as emergency management simulations. She explores organizational constructs enabling autonomous agents to adapt dynamically, contributing to sociotechnical systems analysis. Recent studies include familiarity-based team recognition in academic networks and runtime flexibility in multiagent systems. Teaching & Industry Collaboration: Dr. Keogh teaches programming, software engineering, and capstone projects using Scrum methodologies. She manages industry partnerships for work-integrated learning programs, ensuring students gain practical experience while studying. Labs & Collaborations: Involved in interdisciplinary projects with IBM and Kyndryl, focusing on cloud and enterprise computing. Her research integrates computational models of human expertise, such as disturbance management in healthcare.

Riccardo BONALLIمشاهده پروفایل

پژوهشگر

• Optimal Control
• Stochastic Control
• Autonomous Systems
• +۷ مورد دیگر

Riccardo Bonalli is a tenured CNRS researcher at the Laboratory of Signals and Systems (L2S) affiliated with Université Paris-Saclay and CentraleSupélec. Prior to this, he was a Postdoctoral Researcher at Stanford University's Autonomous Systems Lab. He holds a PhD in Applied Mathematics from Sorbonne Université (collaboration with ONERA), a MSc in Mathematical Engineering, and a BSc in Physical Engineering from Politecnico di Milano. His research focuses on developing algorithms for autonomous systems that balance optimality and robustness in dynamic environments. Key areas include stochastic control, optimal control, differential geometry, and machine learning. Bonalli's work emphasizes mathematical rigor alongside practical algorithm design to address challenges in trajectory optimization, system stabilization, and decision-making under uncertainty. His recent publications explore topics like statistical linearization, convex optimization for trajectory generation, and risk-averse control strategies. He contributes to interdisciplinary groups such as the COMEDY and MODESTY research teams and participates in seminars like the UQSay and Energy@L2S series. Bonalli is actively involved in the laboratory's research ecosystem, collaborating on projects related to energy systems, industry 4.0, and biomedical applications. His work bridges theoretical advancements with real-world implementations in robotics, aerospace, and control systems.

• Multiphase Fluid Dynamics
• Thermal Fluid Science
• Aerospace Engineering
• +۴ مورد دیگر

Sihong Yan is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). His research focuses on multiphase and thermal fluids in hazardous atmospheric conditions (e.g., icing clouds, freezing drizzle, hailstones) and advanced vertical lift vehicles, including rotor aerodynamics and fluid-structure interactions. He holds a Ph.D. and M.S. in Aerospace Engineering from Penn State University and a B.Sc. in Aeronautical and Astronautical Engineering from Shanghai Jiao Tong University. Prior to UCF, he served as a postdoctoral scholar at Penn State’s and Georgia Tech’s Vertical Lift Research Center of Excellence (VLRCOE) programs. His work includes developing icing experiment techniques for eVTOL certification and studying aero-propulsive coupling in electric ducted fans. Awards include the First Place in the 41st Annual Student Design Competition (as Faculty Advisor), the Leonard J. LeVasser Scholarship, and the Best Paper Award in the 74th AHS Annual Forum’s Test and Evaluation Session. Key research areas also encompass quantum computing for smart building controls, ventilation optimization in elevators, and thermal comfort models in automotive environments. His interdisciplinary approach bridges aerospace engineering, environmental science, and smart technology for aviation safety and sustainable systems.

• Advanced Data Analytics
• Artificial Intelligence
• Cybersecurity
• +۷ مورد دیگر

Rafael Palacios Hielscher is a Full Professor at the Department of Computer Science, ICAI School of Engineering, and a Researcher at the Institute for Research in Technology (IIT) at Universidad Pontificia Comillas. He holds a Mechanical Engineering degree from ICAI (1990) and a PhD in Incipient Failure Detection (1998). His research focuses on Advanced Data Analytics, Artificial Intelligence, Cybersecurity, Telemedicine, and Aviation Safety. He has led academic programs in Telecommunications Engineering and Computer Science at Comillas-ICAI (2011–2024) and has held visiting professorships at MIT in Cybersecurity, Energy, and Aeronautics (2001–2025). Education: Mechanical Engineering (1990), ICAI School of Engineering, Universidad Pontificia Comillas PhD in Incipient Failure Detection (1998), Universidad Pontificia Comillas Research Interests: Advanced Data Analytics applied to anomaly detection, image processing, and GIS Cybersecurity for vehicles, wearables, and critical infrastructure Telemedicine and aviation safety systems Machine learning for healthcare and industrial applications Publications: His recent work emphasizes cybersecurity vulnerabilities in automotive systems, telemedicine resource optimization, and energy sector planning. Over 60 journal articles and 60 conference papers demonstrate expertise in multidisciplinary applications of AI and data science. Awards: Recipient of the 3rd Technology & Innovation Award for the Master’s in Cybersecurity (2019) and recognized in Actualidad Económica ’s 100 Best Ideas (2009). Advising & Grants: Supervised 4 PhD theses and led over 60 projects, including electrification strategies for Bolivia, Rwanda, and Pakistan. Collaborates with MIT, World Bank, and EU Horizon initiatives. Labs/Teams: Active in ICAI’s Cybersecurity Lab and MIT’s CAMS initiative, focusing on OT cybersecurity integration and smart grid resilience.

• Flight Dynamics
• Control Systems
• Aircraft Systems
• +۴ مورد دیگر

Dr David Galvao Wall is a Senior Lecturer in Flight Dynamics and Control at Cranfield University's Faculty of Engineering and Applied Sciences. He leads the Air Platforms and Weapons Group and directs the Guided Weapon Systems MSc program. Education includes: BSc Mechanical Engineering (NWFP University) MSc Gun Systems Design (Cranfield) PhD Gun Barrel Design Optimization (Cranfield) His research focuses on flight dynamics, guidance systems, and autonomous vehicle control. He specializes in optimizing aircraft and missile performance through computational modelling and sensor integration. Publications emphasize advancements in control algorithms, sensor fusion, and autonomous navigation systems, with applications in defense and aerospace engineering. He leads research projects funded by UK Ministry of Defence and industry partners including BAE Systems and QinetiQ. Directs the Aeromechanical Systems Group, collaborating on defense technology innovations with international partners.

Chris Ogwumikeمشاهده پروفایل

مدرس ارشد

• Smart Grids
• Energy Efficiency
• Renewable Energy Integration
• +۵ مورد دیگر

Dr. Chris Ogwumike is a Senior Lecturer in Electrical and Electronic Engineering at the School of Computing, Engineering and Digital Technologies (SCEDT), Teesside University. He holds a BEng from Enugu State University of Science and Technology (2006), an MSc in IT Management from Teesside University (2010), and a PhD in Smart Grid Decision Support Systems (2018). His research focuses on energy efficiency, smart grids, and industrial decarbonization. He has contributed to EU-funded projects like inteGRIDy and IDRIC, exploring renewable integration and techno-economic evaluations. He is a Chartered Engineer (CEng), Fellow of the Higher Education Academy (FHEA), and serves as a guest editor for energy efficiency journals. Education: BEng Electrical & Electronic Engineering (2006) – Enugu State University, Nigeria MSc IT Management (2010) – Teesside University PhD Smart Grid Systems (2018) – Teesside University Research Interests: Demand side integration (demand response, renewable integration), machine learning for load forecasting, techno-economic assessments, and decarbonization strategies for industry. His applied work spans smart grids, energy optimization, and industrial cluster sustainability. Recent projects include frameworks for net-zero transitions and cost-benefit analyses for renewable technologies. Collaborations: Active in UK decarbonization initiatives and EU H2020 projects. Publications emphasize frameworks for energy retrofitting, cost-effectiveness of smart solutions, and hypersonic vehicle control systems. Over 15 peer-reviewed articles since 2013, with a focus on applied energy systems and policy. Awards: CEng, FHEA, PgCLTHE Grants: inteGRIDy (2017–2021), IDRIC (2021–2023) Labs/Teams: SCEDT Engineering Centre for Sustainable Engineering. Collaborates with industry on energy system prototypes and policy frameworks.

• Autonomous Systems
• Instrumentation and Sensors
• Mechatronics & Advanced Controls
• +۵ مورد دیگر

Professor Argyrios Zolotas is a leading academic at Cranfield University's Centre for Autonomous and Cyberphysical Systems, specializing in Autonomous Systems & Control. He holds positions as Professor and Course Director of the renowned MSc in Autonomous Vehicle Dynamics and Control. His work focuses on robust control, fault-tolerant systems, and net-zero standards in autonomous robotics and transportation. Zolotas has secured significant research funding, collaborated with industry leaders like BAE Systems and Airbus, and published over 150 peer-reviewed papers. His contributions include pioneering research in tilting train control, UAV payload stabilization, and thermographic inspection systems. Awards include the 2015 IMECHE Prize and Fellowships from HEA, InstMC, and RAeS. He actively promotes gender diversity in STEM, having mentored numerous female students. Research Interests: Autonomous Systems Dynamics & Control Resilient System Architecture AI-Driven Control for Robotics Non-Destructive Testing via UAVs Hybrid Propulsion & Sustainability Off-Road Terrain Navigation Key Projects: MultiAct: UAV-based composite inspection using thermography ASRaaS: Autonomous Systems as a Service promoting net-zero Research on slung payload stabilization via Sparse Gaussian Processes Awards & Recognition: 2015 IMECHE Railway Division Prize 2016 ICSAE Best Paper Award 2023 Fellow of Institute of Measurement and Control 2024 Fellow of Royal Aeronautical Society Grants & Industry Collaborations: Secured funding from EPSRC, DSTL, and industrial partners including Airbus and Rheinmetall AG. Leads cross-disciplinary teams in control engineering and robotics.

• Autonomous Systems
• Control Systems
• Robotics
• +۷ مورد دیگر

Professor Antonios Tsourdos is a leading academic in autonomous systems and control engineering at Cranfield University, where he serves as Professor of Autonomous Systems and Control and Director of the Centre for Autonomous and Cyber-physical Systems. His career spans over two decades with significant contributions to guidance, navigation, and control systems for unmanned vehicles. He has held leadership positions including Head of the Autonomous Systems Group (2007), Head of the Centre of Autonomous and Cyber-Physical Systems (2012), and Director of Research for Aerospace, Transport and Manufacturing (2015). Professor Tsourdos earned his academic qualifications from prestigious UK institutions: MEng in Electronic, Control and Systems Engineering from the University of Sheffield (1995), MSc in Systems Engineering from Cardiff University (1996), and PhD in Nonlinear Robust Flight Control Design and Analysis from Cranfield University (1999). His research focuses on autonomy for single and multiple unmanned vehicles, with particular expertise in guidance and control systems, mission planning, multi-agent coordination, and UAS traffic management. Professor Tsourdos has published extensively in top-tier journals, with over 100 publications in the last five years alone, demonstrating his active research program and leadership in the field. His work bridges theoretical control systems with practical aerospace applications. His research portfolio includes significant projects such as CHEDDAR (Communications Hub for Empowering Distributed ClouD Computing), Air Mobility Ecosystem Consortium, Project BLUEPRINT for UTM-enabled drone operations, and the UKRI Trustworthy Autonomous Systems Node in Security. These projects are funded by UKRI, ESA, Horizon Europe, and major industry partners including BAE Systems, Lockheed Martin, Boeing, Airbus, and Thales. Professor Tsourdos has received notable recognition including Fellowship in the Royal Aeronautical Society, membership in the winning team for the UK MoD Grand Challenge (2008), and the IET Innovation Award (2009). He served as chair of the IFAC Technical Committee on Aerospace Control (2017-2023) and has been involved with the BSI Future Flight Standards Hub and AIAA Advanced Aerial Mobility Certification Task Force. He serves on the editorial boards of numerous prestigious journals including Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering; Aerospace Science and Technology; and IEEE Transactions on Aerospace and Electronic Systems. His work has significant industrial impact through collaborations with major aerospace and defense companies.