جست‌وجوی استاد و پژوهشگر

Todd Walterمشاهده پروفایل

استاد پژوهشی

• Satellite Navigation Systems
• GNSS Integrity
• RFI Detection
• +۳ مورد دیگر

Todd Walter is a Research Professor of Aeronautics and Astronautics at Stanford University, serving as Director of the Global Positioning System (GPS) Laboratory. His work focuses on high-integrity satellite navigation systems and international standards coordination. He holds a Ph.D. in Applied Physics (Stanford, 1994), M.S. in Applied Physics (Stanford, 1990), and B.S. in Physics (Rensselaer Polytechnic Institute, 1987). His research emphasizes GNSS integrity, RFI detection, spoofing mitigation, and advanced RAIM algorithms. The GPS Lab at Stanford is a key institution in his work. Research Interests: Walter’s expertise spans satellite navigation systems, GNSS security, and real-world interference detection. He develops cutting-edge techniques for spoofing detection using low-cost receivers, integrates ADS-B data for jamming localization, and explores cryptographic methods for signal authentication. His work bridges theoretical advancements (e.g., Gaussian bounding, error modeling) with practical applications in aviation and ground-based monitoring systems. Grants & Labs: Leads the GPS Lab, which focuses on advanced navigation technologies. His projects include ground-based integrity monitors for PPP services and cryptographic protocols for TESLA-enabled systems. Collaborates with international standards bodies to enhance GNSS security and reliability.

• Aero-engine Cooling
• Thermofluids Engineering
• Heat Transfer Measurement
• +۳ مورد دیگر

Professor Peter Ireland FREng is a Donald Schultz Professor of Turbomachinery and Director of the Oxford Thermofluids Institute at the University of Oxford. He specializes in advanced cooling technologies for aero-engines and decarbonization strategies for aviation. His research pioneered temperature-sensitive liquid crystal techniques for heat transfer analysis, now widely used in industry. He previously served as a senior heat transfer specialist at Rolls-Royce (2007–2011), addressing turbine cooling, nuclear power, and fire modeling challenges. Currently, he leads a team of 16 researchers and co-founded two companies focused on cooling innovations and zero-carbon flight. His research interests include turbine blade cooling systems, high-heat-flux materials, and plasma-facing components for fusion reactors. He has authored over 230 papers and holds 25+ patents, with recent work emphasizing transpiration cooling, aerothermal stress modeling, and effusion cooling optimization. Awards include Fellowships from the Royal Academy of Engineering, the Institution of Mechanical Engineers, and St. Catherine’s/St. Anne’s Colleges. Key contributions: Liquid crystal cooling measurement techniques, high-performance turbine cooling designs Consultancies: Heat exchangers, zero-carbon flight technologies Labs: Oxford Thermofluids Institute

Marek Behrمشاهده پروفایل

استاد

• Computational Mechanics
• Fluid Dynamics
• Biomedical Engineering
• +۳ مورد دیگر

Marek Behr is a Professor (C4/W3) and Chairholder at the Chair for Computational Analysis of Technical Systems within the Faculty of Mechanical Engineering at RWTH Aachen University since 2004. He also holds an Adjunct Professorship at Rice University’s Department of Chemical and Biomolecular Engineering since 2005. His academic leadership roles include serving as Founding Director of the Center for Simulation and Data Science (CSD) since 2018, President of the German Association for Computational Mechanics (GACM) since 2021, and Executive Council Member of the International Association for Computational Mechanics (IACM) since 2020. He coordinates the International Research Training Group 2379 Modern Inverse Problems with the University of Texas at Austin. Behr’s research focuses on computational fluid dynamics (CFD) , biomedical engineering , and finite element methods , with applications in cardiovascular modeling, multiphysics systems, and manufacturing processes. His work bridges engineering and medicine, addressing challenges like in-stent restenosis, hemolysis prediction, and advanced material processing. He has an h-index of 45 (Google Scholar) and over 3,600 citations. Teaching responsibilities include courses such as Simulation Methods in Mechanical Engineering , Parallel Computing in Computational Mechanics , and Finite Elements in Fluids . His research group actively collaborates with institutions like the Jülich-Aachen Research Alliance (JARA) and the Oden Institute . Recent publications emphasize computational models for cardiovascular devices, machine learning in structural health monitoring, and advanced manufacturing simulations, reflecting his interdisciplinary approach to solving complex engineering problems.

• Aerospace Engineering
• Robotics and Intelligent Systems
• Structural Engineering
• +۳ مورد دیگر

Dr. Chow Wai Tuck is a Senior Lecturer in the Department of Aerospace Engineering at Nanyang Technological University's School of Mechanical & Aerospace Engineering. He joined NTU in 2017 and specializes in robotics, gas turbine technology, and structural analysis. With 20 years of aviation industry experience, he previously served in the Republic of Singapore Air Force (RSAF) as an engineering officer and later led structural analysis teams at Pratt & Whitney, focusing on jet engine components and manufacturing processes. His research interests include lightweight robotic design via cable actuation, gas turbine structural integrity, and high-temperature die casting for engine parts. He has filed six patents in jet engine design and manufacturing technologies. Awards: Ministry of Defense Productivity Award (2005) PS21 Best Staff Suggestion Award (2001) Dr. Chow’s work spans academic teaching, current grants, and industry collaboration, leveraging his extensive MRO (Maintenance, Repair, and Overhaul) expertise. His contributions include structural life upgrades for aircraft and fatigue assessment methodologies.

Richard Hanمشاهده پروفایل

استاد

• Mobile and Ubiquitous Computing
• Wireless Sensor Networks
• Drone Systems
• +۴ مورد دیگر

Richard Han is a Professor in Networks and Distributed Systems at the School of Computing, Macquarie University. He leads the Macquarie University Advanced Drone Systems Research Centre and is affiliated with the Future Communications Research Centre. Previously, he held professorial roles at the University of Colorado Boulder (2001-2020) and was a Research Staff Member at IBM TJ Watson Research Center (1997-2001). Education: PhD in Electrical Engineering (UC Berkeley, 1997), BS with Distinction in Electrical Engineering (Stanford, 1989) His research focuses on drone systems, wireless sensor networks, cybersecurity, and cloud computing. Notable achievements include four best paper awards, over 13,000 Google Scholar citations, and prestigious grants like NSF CAREER and IBM Faculty Awards. Key Projects: Robust Autonomous Drone Landing (2022-2025) Research emphasizes practical applications such as emergency drone battery services, cooperative payload delivery, and privacy-preserving drone vision systems. He directs multiple research groups and collaborates internationally on sensor fusion and UAV applications.

Sindee L. Simonمشاهده پروفایل

استاد

• Polymer Physics
• Material Science
• Thermal Analysis
• +۳ مورد دیگر

Sindee L. Simon is a Distinguished Professor and Department Head of the Department of Chemical and Biomolecular Engineering at North Carolina State University. She holds a B.S. in Chemical Engineering from Yale University (1983) and a Ph.D. from Princeton University (1992). Before joining NC State, she held positions at the University of Pittsburgh and Texas Tech University, where she served as Chair of Chemical Engineering and earned the P. W. Horn Distinguished Professorship. Her research focuses on polymer physics, glass-forming materials, and nanotechnology. Key areas include polymerization kinetics at the nanoscale, glass transition dynamics, and thermal analysis techniques like Flash DSC. She has over 135 journal publications and an h-index of 41. Simon has received numerous awards, including the Society of Plastics Engineers International Award (2019)—the first woman to win this honor—and Fellowships from the American Physical Society, AAAS, and multiple engineering societies. Her work bridges fundamental science and applications in materials engineering. Her educational background and industry experience (Beech Aircraft, 1983–1986) inform her research on materials under confinement and extreme conditions. She collaborates on projects involving explosives, ionic liquids, and nanocomposites.

James Hubbard Jr.مشاهده پروفایل

استاد

• Smart Structures
• Morphing Aircraft
• Autonomous Vehicles
• +۳ مورد دیگر

James Hubbard Jr. is Professor and Oscar S. Wyatt, Jr. '45 Chair I Professor at Texas A&M University's College of Engineering, Department of Mechanical Engineering. He holds a Ph.D., M.S., and B.S. from MIT and serves as Director of the RELLIS Starlab Facility. Research focuses on adaptive structures, morphing aircraft, drone control systems, and human-machine interfaces. Key areas include real-time shape control of aerospace systems and quantum decision-making for human-robot teaming. Awards include the ASME Adaptive Structures Award (2022), National Academy of Inventors Fellowship (2021), and SPIE Lifetime Achievement Award (2016).

• Turbulence
• Unmanned Systems
• Sensors
• +۵ مورد دیگر

Dr. Abdulghani Mohamed is a Senior Lecturer in the School of Engineering at RMIT University, specializing in aerospace engineering with a focus on unmanned aerial systems, turbulence research, and biomimetic flight technologies. His research integrates principles from biology with engineering applications to advance drone technology and flight control systems. His research interests span Turbulence , Unmanned Systems , Sensors , Biomimetics , Aerodynamics , Experimental fluid dynamics , Computational fluid dynamics , and Energy harvesting systems . Dr. Mohamed's work demonstrates a strong connection between natural flight mechanisms observed in birds and engineered solutions for drone technology. His recent publications (2018-2024) reveal consistent research productivity with a clear trajectory toward increasingly sophisticated drone control systems, turbulence adaptation mechanisms, and biomimetic applications. The research shows a progression from fundamental aerodynamic studies toward practical implementations in urban air mobility and advanced drone systems. Open to Masters Research or PhD student supervision Active research projects in drone propeller optimization, turbulence mitigation, and biomimetic flight Dr. Mohamed maintains an active research program with numerous projects related to unmanned aerial systems and their applications in complex environments. His work bridges theoretical aerodynamics with practical engineering solutions for next-generation flight systems.

• Robotics
• Control Systems
• Automation
• +۱۰ مورد دیگر

ABDERRAHIM FICHOUCHE, MOHAMED is an Associate Professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid (UC3M), where he also serves as Deputy Director of the Doctorate. He is affiliated with the Robotics Lab research group and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. His academic and research profile spans robotics, control systems, biomedical engineering, and power systems. His research interests include robotics , automation , control systems , biomedical signal processing , computer vision , and renewable energy integration . His work focuses on intelligent robotic systems, rehabilitation robotics, EEG-based brain-computer interfaces, fault detection in power systems, and advanced control strategies for industrial and autonomous systems. The recent publications reflect a strong trend in interdisciplinary research, combining machine learning with signal processing for applications in medical diagnostics , robotic control , and smart grid monitoring . His work increasingly integrates deep learning , wavelet analysis , and adaptive control across domains. He has led major research projects such as: HANDLE (EU and national funding): Focused on dexterous in-hand manipulation. SARAH: Enhancing robot autonomy with artificial hands. PAPREC: Automatic grasping of disordered parts. PROSAVE: Eco-efficient aircraft systems. GRAND-PA: Assistive technologies for the elderly. He currently participates in ongoing projects including: SEGVAUTO5G-CM (2025–2028): Future mobility innovation. RoboCity2030-DIH-CM (2019–2023): Madrid Robotics Digital Innovation Hub. HYPER: Neuroprosthetic and neurorobotic devices for rehabilitation. He has supervised several theses on topics such as transmission line fault detection , autonomous decision-making in robots , and 3D perception . His research is conducted primarily within the Robotics Lab at UC3M, a multidisciplinary team focusing on advanced robotic systems for industrial, medical, and service applications.

Javier Garcia-Heras Carreteroمشاهده پروفایل

دانشیار

• Air Traffic Management
• Flight Planning under Uncertainty
• Convective Weather Prediction
• +۱۲ مورد دیگر

Javier Garcia-Heras Carretero is an Associate Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), where he conducts research and teaches in air traffic management, flight planning, and AI applications in aviation. He is a member of the Aerospace Engineering Research Group. Research Interests: His work focuses on enhancing air traffic flow management through machine learning and optimization, particularly in mitigating weather-related disruptions. Key areas include robust 4D flight planning under uncertainty, convective weather prediction, continuous climb operations, and environmental impact reduction in aviation. He integrates AI models such as LSTM and CNNs to forecast thunderstorms and optimize traffic flow. Recent Publication Trends: His most recent articles (2023–2024) emphasize deep learning for pre-tactical convection prediction, fast stochastic flight path simulation under uncertainty, and AI-driven hotspot detection in air traffic due to weather. These works reflect a strong trend toward data-driven, real-time decision support systems in ATM using neural networks and parallel computing. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: He supervises BSc and MSc theses, including one on data science techniques for weather mitigation in ATFM. He has led multiple research projects as Principal Investigator, including Collaborative Learning for Intelligent Meteorological Aviation (2024–2027) and Donut proyect (2019–2022). He has participated in numerous EU-funded projects such as KAIROS, REFMAP, ECONTRAIL, and ISOBAR, as well as industry collaborations with Airbus, Boeing, and SENASA. Labs and Teams: He is part of the Aerospace Engineering Research Group at UC3M, focusing on ATM systems, trajectory optimization, and digital aviation technologies. His team collaborates internationally on projects involving AI, weather forecasting, and sustainable aviation.

Evelyn Otero Solaمشاهده پروفایل

دانشیار

• Sustainable Aviation
• Air Traffic Management
• Emissions Reduction
• +۵ مورد دیگر

Dr. Evelyn Otero Sola is an Associate Professor in Aeronautical Engineering at KTH Royal Institute of Technology, serving as Vice-Director of the Centre for Sustainable Aviation (CSA) and a member of the Executive Board of the Environmentally Compatible Air Transport System (ECATS) International Association. Her research focuses on sustainable aviation, particularly optimizing air traffic management (ATM) to reduce emissions (CO2 and non-CO2) and noise, with projects involving sustainable aviation fuels (SAF), hydrogen, AI, and drones. She leads the doctoral course FSD3831 Future Sustainable Aviation and the master’s course SD2830 Aircraft Performance and Air Traffic Management , emphasizing interdisciplinary approaches to sustainability. Key collaborations include the Swedish Aerospace Research Center (SARC) and initiatives like TREVOL, TRACE, CIDER, and KLIMAFLY. Her work bridges research, education, and industry to drive sustainable aviation solutions globally. Education details are not explicitly provided, but her academic contributions include over 15 publications since 2009, spanning CFD optimization, climate modeling, and aviation environmental impact. She advises 11 doctoral students in the first iteration of her course and plans to expand access internationally. Her initiatives aim to create a skilled workforce for sustainable aviation through holistic education and cross-sector networks.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning
• +۳ مورد دیگر

Roberto Gil Pita is a Professor at the University of Alcalá (Spain), affiliated with the Department of Signal Theory and Communications. He leads the AES3 research group focusing on acoustic and electromagnetic smart sensor networks and signal processing applications. His doctoral work (2006) centered on radar target classification using statistical and AI methods under the supervision of Dr. Manuel Rosa Zurera. His research spans signal processing, machine learning, and their applications in aerospace, biomedical systems, and smart cities. Key areas include UAV detection, emotion recognition from speech, and acoustic localization using microphone arrays. His academic background includes a doctorate from the University of Alcalá and extensive contributions to wireless acoustic sensor networks, hearing aid signal processing, and bioimpedance spectroscopy. He has developed energy-efficient algorithms for real-time audio analysis, acoustic violence detection systems, and robust methods for speech enhancement in noisy environments. His work bridges theoretical signal processing with practical engineering solutions for defense, healthcare, and urban monitoring. Research interests extend to aeroelastic flutter analysis in aviation, wearable biomedical sensors for stress assessment, and data-driven approaches for sound environment classification. He has pioneered the use of deep learning in flutter testing and acoustic event classification, contributing to datasets like REALISED for benchmarking machine learning models. Notable projects include acoustic localization of drones using microphone arrays, real-time emotion detection systems, and collaborative research in smart healthcare technologies. His work emphasizes computational efficiency and energy conservation, particularly for embedded systems and battery-operated devices.

• Power Electronics
• Superconductivity Applications
• Cryogenic Systems
• +۳ مورد دیگر

Jiawen Xi is a Researcher in the Department of Electronic & Electrical Engineering at the University of Bath, affiliated with the Centre for Integrated Materials, Processes & Structures (IMPS) and the Centre for Sustainable Energy Systems (SES). Their research focuses on advanced power electronics and superconductivity applications, particularly for electric aircraft systems. Key areas include cryogenic DC circuit breakers, superconducting fault current limiters (SFCL), and hardware-in-the-loop testing. Research interests span cryogenic power electronics, DC network protection, and sustainable energy systems. Recent work emphasizes integrating SFCLs with solid-state breakers to enhance fault tolerance in electric aircraft. Experimental studies include testing under varied fault conditions and optimizing cryogenic component performance. Publications highlight contributions to DC circuit breaker design, SFCL modeling, and cryogenic converter systems. Collaborative projects address challenges in electric propulsion and sustainable energy conversion. No awards are explicitly listed, though research aligns with UN SDG goals related to affordable and clean energy. Current projects involve developing high-current cryogenic DC breakers and bidirectional converters for aerospace applications. Lab affiliations include IMPS and SES, focusing on material science and sustainable energy solutions.

Jaime Camelioمشاهده پروفایل

استاد

• Cyber-Physical Systems Security
• Smart Manufacturing
• Statistical Process Control
• +۷ مورد دیگر

Jaime Camelio is a Professor at the University of Georgia's School of Electrical & Computer Engineering, specializing in cyber-physical systems security, smart manufacturing, and statistical process control. His work integrates advanced technologies like machine learning, reinforcement learning, and Bayesian inference to enhance manufacturing resilience and safety. He focuses on vulnerabilities in production systems, digital twin applications, and data-driven quality control. His research spans aerospace composites, IIoT-enabled worker well-being monitoring, and synthetic data frameworks for manufacturing simulations. Research interests include cybersecurity in additive manufacturing, occupational safety monitoring via statistical control charts, and innovative approaches to fault detection in assembly systems. He leads projects funded by NSF CPS initiatives, such as collaborative research on manufacturing security and cyber-physical vulnerability assessments. His work bridges theoretical advancements with real-world applications in aerospace, automotive, and industrial IoT sectors. Scientific contributions include frameworks for digital thread integration in product lifecycle management and NURBS-based statistical monitoring of manufacturing surfaces. Publications emphasize both technical innovations and systemic risk mitigation strategies for modern manufacturing ecosystems. His lab explores cutting-edge topics like LLM applications in manufacturing workflows and random sampling strategies to counteract cyber-physical attacks.

Lance Sherryمشاهده پروفایل

استاد

• Air Transportation System Modeling and Simulation
• Data Analytics
• Stochastic Simulation
• +۱۲ مورد دیگر

Lance Sherry is a Professor in the Department of Systems Engineering and Operations Research at George Mason University’s College of Engineering and Computing. He serves as Director of the Center for Air Transportation Systems Research (CATSR), where he leads cutting-edge research in air transportation systems, data analytics, and autonomous systems. Education: PhD, Industrial and Systems Engineering, Arizona State University MS, Industrial and Systems Engineering, Arizona State University BS, Electrical Engineering, Brown University His research focuses on the modeling and simulation of complex adaptive systems in aviation, including air traffic control, airport operations, and unmanned aerial vehicles. He has pioneered work in human-computer interaction, operator training, and big data applications in aviation safety. His recent publications reflect strong trends in predictive analytics, environmental sustainability in aviation, and decision support systems for complex operational challenges. Scientific Awards and Recognitions: U.S. Patent and Provisional Patent for probabilistic alerting of aircraft unstable approaches using big data Multiple 1st and 2nd place awards in IEEE SIEDS, PITCH-IT, and Capstone competitions Best paper award at ICRAT Conference (2016) Senior design teams consistently recognized for innovation in systems engineering Lance Sherry has advised numerous PhD students, many of whom have gone on to prominent roles in aviation, government, and tech. He has secured research funding from organizations such as the Decision Science Research Institute, Crown Consulting Inc., and LMI. His leadership extends to professional service, including chairing the IEEE ICNS Conference and serving on NSF merit panels and AIAA technical committees. He is also actively involved in promoting drone technology education and urban air mobility research. Laboratories and Teams: He leads the Center for Air Transportation Systems Research (CATSR), which conducts interdisciplinary research in aviation systems, big data analytics, and human factors. The center supports undergraduate and graduate student teams in national design competitions and collaborates with FAA, NASA, and industry partners.