جست‌وجوی استاد و پژوهشگر

Alex Thomassonمشاهده پروفایل

استاد

• precision agriculture
• remote sensing
• robotics
• +۵ مورد دیگر

Alex Thomasson is a professor and head of the Department of Agricultural and Biological Engineering at Mississippi State University (MSU), jointly administered by the College of Agriculture and Life Sciences and the Bagley College of Engineering. As the William and Sherry Berry Endowed Chair, he pioneered precision agriculture, remote sensing, and robotics, founding the nation’s first Agricultural Autonomy Institute. His work spans UAV-based phenotyping, robotic harvesting, and AI-driven nutrient management systems. Research Interests: Precision agriculture with emphasis on UAV-based monitoring Robotic systems for cotton harvesting and field automation Machine learning applications in crop stress detection Integration of air-ground sensing networks Scientific Awards: Elected member of the International Academy of Agricultural and Biosystems Engineering (IAABE) Held the William and Sherry Berry Endowed Chair Thomasson has mentored over 40 graduate and postdoctoral students, fostering global academic leadership in agricultural technology. His research drives sustainable yield optimization and production efficiency through advanced sensing and autonomous systems.

Scott Noklebyمشاهده پروفایل

استاد

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +۷ مورد دیگر

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

James E. Blumanمشاهده پروفایل

دانشیار

• Robotics
• Military Applications of Small UAS
• Flapping Wing Micro-Air Vehicles
• +۵ مورد دیگر

Colonel James E. Bluman, PhD, PE , serves as the Research Program Director for the Department of Mathematical Sciences at the United States Military Academy at West Point. Previously, he directed the Center for Innovation and Engineering and held an associate professorship in Civil and Mechanical Engineering at West Point. His Army career included operational roles as an Aviation Officer, Acquisition Corps officer with Level III DAWIA certification, and Assistant Product Manager for the Armed Scout Helicopter Project Office. Ph.D. in Mechanical Engineering - University of Alabama in Huntsville M.S. in Aerospace Engineering - Penn State B.S. in Mechanical Engineering - U.S. Military Academy His research focuses on robotics, military applications of small unmanned aerial systems (UAS), flapping wing micro-air vehicles, insect flight dynamics, drone autonomy, image classification, automated target recognition , and generative AI in undergraduate research . His recent publications emphasize algorithmic advancements for aerial search patterns, including Lissajous curves and deterministic flight planning. Scientific recognition includes the American Society of Mechanical Engineering’s Donald N. Zwiep Award for Innovation in Education and the USMA’s 2024 Dean’s Mid-Career Award for Scholarship Excellence .

• Telecommunications
• Autonomous Systems
• Aeronautical Systems
• +۷ مورد دیگر

Professor Saba Al-Rubaye is a leading academic in Telecommunications and Autonomous Systems at Cranfield University's Faculty of Engineering and Applied Science. She holds the Chair in Telecommunications and Autonomous Systems and is affiliated with the UK Telecoms Innovation Network. Her expertise spans 6G technologies, autonomous systems, and smart air mobility. With over 20 years of experience, she has published over 100 peer-reviewed papers and secured significant grants from Innovate UK, EPSRC, and international bodies. Research Interests: Her work focuses on 5G/6G communications, autonomous systems, UAV security, and non-terrestrial networks (NTNs). Her research emphasizes integrating satellite and terrestrial networks for UAV operations, secure authentication protocols, and digital twin applications in aviation. Recent projects include Project RISE and Advanced Air Mobility Ecosystems Phase III, totaling £9.5M in funding. Recent Publications: Her 2024 work on 6G handover algorithms and 2025 studies on AI-driven decision-making highlight her contributions to future aviation connectivity. Key themes include seamless UAV communication, interference mitigation, and blockchain security in UAV networks. Awards: She has won multiple IEEE best paper awards (2011, 2015, 2020–2024) for her contributions to UAV communications and vehicular networks. Her leadership extends to organizing workshops at IEEE ICC and PIMRC conferences. Grants & Projects: Principal Investigator/Co-I in £9.5M Future Flight Challenge projects, including Phase III Advanced Air Mobility Ecosystems and UAS Authentication System (£500k). Collaborations include Virgin Atlantic, NATS, and Thales. Labs & Teams: Leads the Advanced 5G for Transport Delivery initiative and the Digital Aviation Connectivity & Security project. Her research group actively explores 6G NTN integration and secure UAV frameworks.

Mohamad T. Shahabمشاهده پروفایل

استادیار

• Control Theory
• Robotics
• Adaptive Control
• +۴ مورد دیگر

Mohamad T. Shahab is an Assistant Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University (TMU), where he joined in 2025. His research focuses on control theory and autonomous systems, with particular expertise in adaptive control, robotics, and optimization. Dr. Shahab completed his PhD in Electrical and Computer Engineering at the University of Waterloo in 2020. He received his BSc in Control and Instrumentation Engineering (2007) and MSc in Systems Engineering (Automation and Control) (2015), both from King Fahd University of Petroleum and Minerals (KFUPM). Prior to joining TMU, he held postdoctoral appointments at KAUST working with Professor Eric Feron and worked as an R&D engineer with Baker Hughes. His research spans Control Theory, Robotics, Adaptive Control, Control & Optimization, and Autonomous Systems . Dr. Shahab's work particularly focuses on adaptive control strategies that yield linear-like behavior, robustness analysis of adaptive control systems, and applications to robotics and autonomous aerial vehicles. His recent work has centered on modular tetrahedral-shaped aerial robots and their control under uncertainty. Dr. Shahab has published numerous papers in top-tier journals including IEEE Transactions on Automatic Control, Automatica, and International Journal of Adaptive Control and Signal Processing, as well as in major conferences like IEEE ICRA and AIAA SciTech. His research shows a clear trajectory toward developing more robust and reliable adaptive control strategies for complex systems, particularly in robotics and autonomous vehicles. Dr. Shahab is actively recruiting graduate students (MASc, MEng, PhD) and undergraduate researchers interested in control theory, robotics, and autonomous systems. He encourages students with strong backgrounds in control, optimization, robotics, and machine learning to contact him.

Stephen Riceمشاهده پروفایل

دانشیار

• Human Factors
• Aviation Human Factors
• Engineering Psychology
• +۷ مورد دیگر

Stephen Rice is an Associate Professor in the Department of Human Factors & Behavioral Neurobiology at Embry-Riddle Aeronautical University's College of Arts and Sciences. His work bridges aviation human factors, technology, societal impact, and education, with a recent emphasis on consumer perceptions in aviation and autonomous vehicle systems. Education: Ph.D. in Engineering Psychology, University of Illinois at Urbana-Champaign M.A. in Engineering Psychology, University of Illinois at Urbana-Champaign B.A. in Psychology, Rollins College His research lies at the intersection of human cognition, perception, and emerging aviation technologies. He investigates how humans interact with complex systems such as unmanned aerial systems (UAS) and advanced air mobility (AAM), focusing on operational safety, ethical considerations, and public acceptance. His interdisciplinary approach integrates psychology, engineering, and policy analysis. Stephen Rice’s recent publications reflect a strong trend in aviation safety, UAS integration, health technology assessment, and ethical frameworks in aviation. His work spans both technical and philosophical domains, contributing to regulatory discussions and system design. He is actively involved in federally funded research, including UAS training for first responders. Scientific Awards: No awards listed in the provided text. Stephen Rice advises students in human factors and behavioral neurobiology, though specific advisees are not listed. He is involved in research grants, including the active project First Responder UAS Training , funded from 2025 to 2027. His research output is extensive, with over 570 publications across journals, conferences, and books. He contributes to interdisciplinary research teams focused on UAS operations, advanced air mobility, and aviation ethics. His lab or research group appears to collaborate closely with colleagues such as Robert J. Wallace, Sarah Winter, and Changqian Yang, particularly in drone systems and human factors integration.

Chuck Stewartمشاهده پروفایل

استاد

• Computer Vision
• Ecology
• Environmental Conservation

Dr. Chuck Stewart is a Professor in the Department of Computer Science at Rensselaer Polytechnic Institute, with a focus on applying computer vision to ecological research and environmental conservation. His work bridges artificial intelligence with wildlife monitoring, enabling scalable solutions for animal behavior studies. PhD in Computer Science, University of Wisconsin B.A. in Mathematics, Williams College His research interests center on computer vision for ecological applications, including animal re-identification , drone-based monitoring , and dataset development for behavioral analysis. Recent projects involve creating open-source tools like the WildWing UAS and datasets such as KABR and BaboonLand . Recent publications highlight trends in using AI algorithms for cross-species identification, diffusion models in evolutionary studies, and multimodal knowledge graphs for ecological data. Collaborations span institutions and disciplines, emphasizing interdisciplinary innovation. Dr. Stewart is affiliated with the Darrin Fresh Water Institute and contributes to NSF-funded initiatives, including the AI Research Institute, focusing on multidisciplinary approaches to societal challenges in conservation.

• Aerospace Vehicle Design
• Avionics Systems
• Spaceflight Systems
• +۱۰ مورد دیگر

Roberto Sabatini is a Professor and Chair of the Aerospace Engineering Department at Khalifa University, where he founded the Aerospace Systems Research Group (ASRG) and Guidance, Navigation and Control Laboratory (GNCLab). He leads the FALCON Program developing sustainable aviation and Advanced Air Mobility research. With over three decades of aerospace experience across international institutions, his work focuses on integrating advanced technologies in aviation and space systems. Education includes: PhD in Aerospace Engineering (Cranfield University) PhD in Space Geodesy (University of Nottingham) MSc in Astronautical Engineering (Sapienza University of Rome) MSc in Navigation Technology (University of Nottingham) EMBA (Quantic School of Business) Research interests center on aerospace robotics, autonomous systems, and multi-domain traffic management with emphasis on safety-critical avionics and sustainable aviation technologies. Recent publications demonstrate strong focus on AI applications in air/space traffic management and autonomous systems. Awards and honors: 2024 Aviation Business Technology Innovation Award 2021 Aerospace Distinguished Leadership Award 2019 Defence Scientist of the Year 2017 Northrop Grumman Scholarship 2016 SARES Science Award 2015 SAE Arch Colwell Merit Award 2008 NATO Scientific Achievement Award Leads the ASRG research team with multiple PhD students and postdoctoral fellows. Secured over $25M in research funding from government and industry partners including UAE Space Agency and NASA RASC-AL.

Jonathan M. Aitkenمشاهده پروفایل

مدرس ارشد

• Autonomous robotics
• Computer vision
• Spatial awareness in robotic systems
• +۴ مورد دیگر

Dr. Jonathan M. Aitken is a Senior Lecturer in Robotics at the University of Sheffield's School of Electrical and Electronic Engineering. Previously a Research Fellow at the Autonomous Control Laboratory (ACSE), his work focuses on autonomous robotic systems with emphasis on quadcopters, computer vision, spatial awareness, and multi-robot collaboration. Expert in safe autonomous drone deployment Specializes in collaborative robotics (cobots) Qualified UK commercial drone pilot Research spans: Autonomous reconfiguration of robotic systems Dynamic risk assessment for systems-of-systems Visual SLAM for feature-sparse environments Formal verification of UAS systems Human-robot co-working interfaces Recent publications examine: Robust localization in sewer pipes Visual saliency algorithms for mobile robots Cobotic safety controller synthesis Modular digital twinning frameworks Spatial awareness for multi-robot teams Major grants include EPSRC Programme Grants for buried pipe sensing and Lloyds Registry Foundation funding for cobot safety integration.

Vivek Sharmaمشاهده پروفایل

استادیار

• Aviation Safety
• Human Factors
• Unmanned Aircraft Systems (UAS)
• +۷ مورد دیگر

Dr. Vivek Sharma is an Assistant Professor and Online Program Chair in the College of Aeronautics at Florida Institute of Technology. He holds a Ph.D. in Aviation Sciences with a focus on Human Factors and Safety. His expertise spans aviation safety, human factors in advanced air mobility (AAM), unmanned aircraft systems (UAS), and user experience (UX) research. Dr. Sharma advises on FAA initiatives, leads data analysis projects, and promotes drone safety through his role in the FAA’s Safety Team. His recent work includes studies on BVLOS drone operations, urban air mobility, and pilot personality dynamics. Education: Ph.D. in Aviation Sciences (concentration: Human Factors and Safety). Research Interests: Dr. Sharma’s work explores aviation safety through interdisciplinary lenses, including data-driven analyses of flight instructor behaviors, wildlife strike patterns, and passenger acceptance of emerging technologies like AI-piloted aircraft. He also examines the intersection of cybersecurity and aviation training, aiming to bridge diversity gaps in tech fields. Publications: His recent articles focus on AAM system design, wildlife-aircraft collision mitigation, and public perception of autonomous flight. Notable trends include a growing emphasis on AI applications in aviation and UX challenges in human-agent teams. Advising & Grants: Serves as thesis committee chair and member, and collaborates with the FAA’s PEGASAS Center of Excellence and ATLAS Lab on funded research projects. Labs/Teams: Active in the ATLAS Lab and FAA’s PEGASAS Center, focusing on data analytics and safety innovation in aviation systems.

Luis Mejias Alvarezمشاهده پروفایل

دانشیار

• Unmanned Aerial Systems (UAS)
• Computer Vision
• Collision Avoidance
• +۵ مورد دیگر

Luis Mejias Alvarez is an Associate Professor and Researcher in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). He specializes in Unmanned Aerial Systems (UAS), focusing on vision-based guidance, collision avoidance, and autonomous navigation technologies. His work integrates computer vision, sensor fusion, and control systems to advance UAV applications in aerospace and robotics. Education: Electronic Engineer (UNEXPO, Venezuela, 1999) MSc in Networks and Telecommunication Systems (Universidad Politécnica de Madrid, 2001) PhD in Robotics and Automation (Universidad Politécnica de Madrid) Research Interests: His research spans Unmanned Aerial Systems (UAS), including autonomous helicopters, vision-based navigation, collision avoidance, and forced landing technologies. He develops algorithms for computer vision, sensor fusion, and control systems, with applications in aerospace engineering and artificial intelligence. His work aims to enhance UAV safety and autonomy in complex environments. Awards & Fellowships: 2017 Endeavour Executive Fellowship Visiting Professorships at Université de Bretagne Occidentale (2017) and UTIS (2017) Editor of Springer Tracts in Advanced Robotics (2016) Keynote Speaker at CIIMA 2014 Program Chair for UAS Conferences (2013) DECRA Fellowship (2012–2015) IRSES Grant (2009) Advising & Grants: Supervised PhD/Masters students in areas like vision-based collision avoidance and UAV navigation. Key grants include ARC DECRA and international IRSES collaboration with European institutions. Labs & Collaborations: Active in QUT’s Centre for Robotics and the Australian Research Centre for Aerospace Automation. Collaborates globally on projects like drone ship landing under adverse conditions and beyond-line-of-sight navigation.

Michael Fryeمشاهده پروفایل

استاد

• Science of Autonomy
• Large Decentralized Networks
• Nonlinear Controls
• +۲ مورد دیگر

Dr. Michael Frye is a tenured Professor of Electrical Engineering and the Jones Endowed Chair of Engineering at the University of the Incarnate Word (UIW), where he directs the AVS Lab. With extensive industry experience at Continental Airlines, Lockheed Martin Skunkworks, NASA, and Southwest Research Institute, his expertise spans flight controls and modeling of fixed/rotorcraft vehicles. His educational credentials include: Ph.D. in Electrical Engineering, University of Texas at San Antonio (2006) M.S. in Electrical Engineering, University of Southern California (1999) B.S. in Electrical Engineering, University of Houston (1996) Dr. Frye's research integrates Science of Autonomy, Large Decentralized Networks, and Nonlinear Controls with Artificial Intelligence to develop robust autonomous systems. His work bridges theoretical control engineering with practical applications in drone technology, emphasizing real-world solutions for infrastructure and agriculture. Analysis of his 2021-2025 publications reveals a dominant focus on drone-based computer vision and AI applications, particularly in precision agriculture (pest monitoring, crop mapping) and critical infrastructure inspection (powerline vegetation management, insulator fault detection). Key methodologies include SLAM, RTK-NTRIP georeferencing, transformer networks, and swarm navigation. As Director of the AVS Lab, he leads projects like the megaGEMS Coding Academy and AEOP research apprenticeships, securing funding for STEM education initiatives and drone technology development. His mentorship extends through curriculum design and hands-on research programs targeting underrepresented engineering students. The AVS Lab under his leadership pioneers autonomous vehicle systems, with current emphasis on micro-drone AI implementations, e-scooter autonomous mobility, and real-time UAV control architectures for complex operational environments.

Xinfan Linمشاهده پروفایل

دانشیار

• Dynamic System Modeling
• Machine Learning
• Battery Management Systems
• +۵ مورد دیگر

Xinfan Lin is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California Davis, part of the College of Engineering. His research focuses on dynamic system modeling, diagnostics, and control, with a particular emphasis on machine learning, data analytics, and control-integrated design optimization. His work addresses applications in intelligent battery management systems, electric vehicles, unmanned aerial systems (UAS), electric-vertical-takeoff and landing (eVTOL) aircraft, and spacecraft. He leads the Lin Research Lab, which combines multi-physical domain knowledge, control theories, and machine learning to advance transportation and aerospace technologies. Lin has received the NSF CAREER Award and was elected as an IEEE Senior Member. His research interests include battery electrochemical dynamics, system-level estimation and control, and energy systems optimization. He has contributed to advancing methodologies for battery health monitoring, energy-efficient UAV mission planning, and hybrid physics-based machine learning models. Key applications of his work include improving battery management for electric vehicles, optimizing multirotor drone efficiency, and enhancing aerospace systems through integrated system modeling. His recent publications highlight advancements in energy-optimal trajectory planning, reinforcement learning for battery diagnostics, and lightweight electrochemical modeling techniques.

Edoardo Patelliمشاهده پروفایل

استاد

• Risk and Uncertainty Quantification
• Nuclear Safety
• Resilience Engineering
• +۸ مورد دیگر

Professor Edoardo Patelli is a distinguished academic specializing in Risk and Uncertainty Quantification at the University of Strathclyde's Department of Civil and Environmental Engineering, Faculty of Engineering. He serves as the Head of the Centre for Intelligent Infrastructure and maintains strong collaborations across all university faculties with world-leading scholars globally. His research interests span multiple critical areas including Nuclear Safety, Resilience Engineering for critical infrastructure, Digital Twin technology, and development of Trustful AI algorithms for imprecise data. He has pioneered efficient simulation methods capable of managing and quantifying uncertainty across various systems including nuclear facilities, civil infrastructure, and aerospace applications. His work also encompasses human reliability analysis in interaction with autonomous systems and effective risk communication strategies. Prof. Patelli's publication portfolio demonstrates a strong focus on applying uncertainty quantification methods to real-world problems, with recent work addressing storm surge forecasting, drone logistics for healthcare, fuel supply chain resilience during floods, procedure quality enhancement, and structural damage identification. His research consistently bridges theoretical advances in computational methods with practical applications in safety-critical systems. The NASA and DNV Challenge on Optimization under Uncertainty Recipient (17/6/2025) Best Paper Award in "Innovation in Smart Cities and Systems" Recipient (1/9/2022) As an academic leader, Prof. Patelli chairs multiple significant committees including the Technical Committee on Simulation for Safety and Reliability Analysis of the European Safety and Reliability Association (ESRA), and has served as Chair of the Technical Committee for the 2019 and 2022 European Safety and Reliability Conference (ESREL). He is also a Member of the Committee on Probability and Statistics in the Physical Sciences (part of the Bernoulli Society), Academic Adviser to the Commonwealth Scholarship Commission and member of the UK Nuclear Innovation and Research Advisory Board (NIRAB). His professional activities include serving as Associate Editor for Frontiers Nuclear Engineering journal and participating in EPSRC workshops. He leads and contributes to numerous research projects including the Intelligent Digital Twin management platform for natural-technological disasters, improved models for flood impact on transport infrastructure, Care & Equity - Logistics UAS Scotland Phase 3, and Enhanced Methodologies for Advanced Nuclear System Safety, demonstrating his commitment to addressing complex infrastructure challenges through innovative computational approaches.

• Cyber-Physical Systems
• System Dynamics
• Digital Twin
• +۳ مورد دیگر

Agus Ismail Hasan is a Professor of Cyber-Physical Systems at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), with a focus on Digital Twin , Autonomous Systems , and System Dynamics . His academic journey began with a BSc in Mathematics from Bandung Institute of Technology and a PhD in Control Systems from NTNU. His research spans interdisciplinary domains, integrating Control Theory , Machine Learning , and Industrial Applications to address challenges in autonomous vehicles , renewable energy systems , and public health modeling . Recent publications highlight advancements in Digital Twin fault diagnosis, Secure State Estimation for cyberattacks, and Marine Robotics optimization. Scientific contributions include the ASME Best Paper Award in Mechatronics (2015) and leadership roles in IEEE Technical Committee on Aerial Robotics and IFAC Technical Committee on Distributed Parameter Systems . His work bridges theoretical control systems with real-world implementations in maritime autonomy , wind energy , and epidemiological modeling .