Find Academic Supervisors

• Autonomous Systems
• Control Systems
• Robotics
• +7 more

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.

He BaiView profile

Associate Professor

• Unmanned Systems
• Multi-Agent Systems
• Nonlinear Control
• +7 more

He Bai is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), part of the College of Engineering, Architecture and Technology (CEAT). His research focuses on unmanned systems in GPS-denied environments, multi-agent systems, nonlinear control, atmospheric turbulence modeling, and human-robot interaction. He advises OSU's Mercury Robotics Society and Automation Society and serves as a faculty adviser for graduate and undergraduate students. Education includes a Ph.D. (2009), M.S. (2007), and B.E. (2005) in Electrical Engineering and Automation from Rensselaer Polytechnic Institute and the University of Science and Technology of China. Research interests emphasize robust control strategies for autonomous systems, including cooperative navigation, adaptive control under disturbances, and machine learning applications in robotics. His work addresses challenges like wind estimation for unmanned aerial systems (UAS) and human-vehicle collaboration in mixed traffic environments. Professional roles include Associate Editor for IEEE Control System Letters and the IEEE Control System Society Conferences. Recent publications explore reinforcement learning for multi-agent coordination, decentralized Bayesian learning, and turbulence impact on UAS navigation. Advising and lab involvement includes directing the Mercury Robotics Society and collaborating on projects like the intelligent cooperative driving testbed. His research bridges theoretical control systems with practical applications in autonomous systems and robotics.

Henrik Skov MidtibyView profile

Associate Professor

• Robotics
• Computer Vision
• Precision Agriculture
• +4 more

Henrik Skov Midtiby is an Associate Professor at the University of Southern Denmark's Maersk Mc-Kinney Moller Institute and affiliated with the SDU Climate Cluster and SDU UAS Center. His research focuses on robotics, computer vision, precision agriculture, and marine biology, with applications in UAV technology, environmental monitoring, and autonomous systems. He has led projects such as PotBot (autonomous plant transportation) and LEARNING (climate change interactions), and contributed to studies on harbor porpoise behavior and weed management algorithms. Education: PhD from the Maersk Mc-Kinney Moller Institute. Extensive teaching experience in robotics and computer vision courses for unmanned aerial systems (UAS). Research Interests: Unmanned Aerial Vehicles (UAVs), environmental sensing, machine learning for agricultural automation, marine mammal tracking, and energy-efficient robotic systems. Key projects include drone-based crop monitoring, autonomous navigation algorithms, and bioacoustic studies of marine life. Grants & Collaborations: Project manager for Præcisionsfrøavl (precision seedling) and PotBot. Collaborates with institutions on climate change impacts and marine conservation. Active in workshops like 'Teaching for Active Learning.' Labs/Teams: SDU UAS Center for drone research; SDU Climate Cluster for environmental studies. Involves students in projects combining robotics, AI, and ecological applications.

Cal CoopmansView profile

Academic

• Uncrewed Aerial Systems
• Cyber-Physical Systems
• Aerial Remote Sensing
• +10 more

Cal Coopmans is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Utah State University, where he also serves as Director of AggieAir, a leading unmanned aerial systems (UAS) research program. His work bridges aerospace engineering, cyber-physical systems, and environmental science, with a focus on applying drone technology to agricultural and ecological monitoring. Dr. Coopmans earned his PhD in Electrical Engineering from Utah State University in 2014, with a dissertation on cyber-physical systems enabled by UAS-based personal remote sensing. He also holds an MS in Electrical Engineering from USU (2010) and a BS in Computer Engineering from Montana State University (2004), with minors in Mathematics and Computer Science. His research interests include uncrewed systems, aerial remote sensing, image processing, lidar, mechatronics, and autonomous control systems. He teaches graduate courses in Electrical Engineering, particularly special topics in uncrewed systems and robotics. The recent publications of Dr. Coopmans reflect a strong trend in using small UAS (sUAS) for high-resolution environmental monitoring, particularly in agriculture. His work frequently involves thermal and multispectral imaging, machine learning, and energy balance modeling (e.g., TSEB) to estimate evapotranspiration, leaf area index, and water stress in crops like vineyards and turfgrass. He also contributes to UAS system design, including the development of the GreatBlue VTOL fixed-wing drone. Dr. Coopmans has mentored several graduate students in the Electrical & Computer Engineering program, including Richard Michael Snider, Sadikul Alim Toki, Mitchell Lee Bailey, and Stockton Gerald Slack. While no formal scientific awards are listed in the provided text, his extensive peer-reviewed publications and leadership in AggieAir indicate significant scholarly impact. He is actively involved in interdisciplinary research, collaborating with experts in hydrology, agriculture, and environmental science. His lab, AggieAir, functions as a hub for UAS-based data collection and analysis, supporting projects in irrigation management, ecosystem monitoring, and precision agriculture.

Nicolaj Haarhøj MalleView profile

Assistant Professor

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +7 more

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.

• Cyber-physical Systems Security
• Attack and Fault Detection
• Robust Control
• +4 more

Dr. Hunmin Kim serves as Assistant Professor in the Department of Electrical and Computer Engineering at Mercer University's School of Engineering, specializing in security and operational resilience of cyber-physical systems with applications in autonomous vehicles, UAVs, and smart grids. His educational background includes: PhD in Electrical Engineering from Pennsylvania State University (2018) BSE in Mechanical Engineering from Pusan National University (2012) Dr. Kim's research centers on developing attack/fault detection mechanisms, robust control frameworks, and path planning algorithms for cyber-physical systems operating in dynamic environments. His work addresses critical security vulnerabilities and coordination challenges in multi-agent systems, with emphasis on verifiable safety guarantees for autonomous operations. Analysis of his 2023-2025 publications reveals strong thematic convergence in resilient control under adversarial conditions, motion planning in complex environments, and assistive technology applications. His work consistently bridges theoretical control systems with practical implementations in autonomous vehicles and UAVs, featuring increasing integration of machine learning techniques for adaptive security. Professional recognition includes: Nomination for 2024 Clayton R. Paul Teaching Excellence Award Dr. Kim actively mentors undergraduate researchers through Mercer's Bear Day events and honors projects, guiding student teams in developing gesture-based drone controls, EMG signal processors, and assistive navigation devices for visually impaired individuals. He maintains extensive peer review commitments across 45+ journals/conferences annually including IEEE Transactions on Automatic Control and Automatica. He contributes to the Collaborative Center for Computing at Mercer University and serves on the IEEE CSS Technology Conferences Editorial Review Board.

Alfred HößView profile

Professor

• Autonomous Driving
• Automotive Electronics
• Electric Mobility
• +6 more

Prof. Dr. Alfred Höß is a Professor of Electrical Engineering at the Amberg-Weiden University of Applied Sciences, where he has served since 1995. He chairs the examination committee for multiple engineering programs including Electrical and Information Technology, Software Systems Technology, and Industrial IT. His academic leadership extends through over a decade of service on the university senate and various planning committees. Dr. Höß completed his electrical engineering studies at Friedrich-Alexander-Universität Erlangen-Nürnberg (1983-1987), earning his diploma with distinction in 1988. He earned his PhD from Ruhr-Universität Bochum in 1991 with distinction, followed by industry experience at Siemens AG in both medical and automotive divisions before joining academia. Friedrich-Alexander-Universität Erlangen-Nürnberg: Electrical Engineering (1983-1987) Ruhr-Universität Bochum: PhD in High-Frequency Technology (1988-1991) His research spans cutting-edge automotive technologies with particular focus on autonomous driving systems, electric mobility solutions, and wireless communication architectures. Dr. Höß leads multiple EU-funded research projects including Archimedes, AI4CSM, AUTBUS, and Powerized, with emphasis on practical implementations for real-world transportation challenges. His work integrates artificial intelligence with edge computing to solve complex problems in vehicle communication, battery management, and autonomous navigation systems. His publication portfolio demonstrates strong emphasis on practical applications of machine learning in automotive contexts, particularly in range prediction for electric vehicles, federated learning for battery management, and communication systems for autonomous vehicles operating in challenging environments. His research shows consistent progression from fundamental electrical engineering principles to advanced AI integration in transportation systems. Dr. Höß has received notable academic recognition including the Diplompreis Elektrotechnik in 1988 and the Gebrüder-Eickhoff-Preis in 1992 for his doctoral work. Diplompreis Elektrotechnik (1988) Gebrüder-Eickhoff-Preis (1992) He actively mentors numerous graduate students across multiple research projects, supervising master's theses and research assistantships. His laboratory for electrical measurement technology serves as the foundation for hands-on student research. Dr. Höß secures substantial research funding through EU projects and industry collaborations, focusing on practical implementations of advanced automotive technologies. His administrative leadership includes chairing examination committees for multiple engineering programs, demonstrating his commitment to academic excellence and curriculum development. Dr. Höß directs the Electrical Measurement Technology Laboratory at Amberg-Weiden UAS, which serves as the primary research facility for his automotive electronics work. His research teams collaborate across multiple EU-funded projects including ADACORSA for drone communications, PRYSTINE for programmable automotive intelligence systems, and AUTBUS for rural autonomous transportation solutions. These interdisciplinary teams combine expertise in electrical engineering, computer science, and applied mathematics to tackle complex challenges in modern mobility systems.