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Ryan PaulView profile

Assistant Professor

• Flight Dynamics
• Aerodynamics
• Unmanned Aircraft Design
• +4 more

Ryan Paul is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). He holds an ORCID identifier (0000-0002-5883-8784) and specializes in flight dynamics, unmanned aircraft systems, aerodynamics, and pilot workload analysis. Prior to academia, he worked as a Flight Dynamics Engineer at the Naval Air Warfare Center Aircraft Division (2015–2020) and served as a Summer Faculty Fellow at Naval Air Systems Command (2022). Education: Ph.D. (Aerospace Engineering, NC State, 2015), M.S. (Aerospace Engineering, NC State, 2012), B.S. (Aerospace & Mechanical Engineering, OSU, 2010). He is a certified Flight Instructor and holds FAA licenses for commercial piloting and remote operation. Research focuses on flight dynamics simulations, unmanned systems design, aircraft certification, and spatial disorientation assessment. Key projects include work on urban wind impacts on drones, structural optimization for HALE aircraft, and advanced air mobility safety. Over 30 publications span topics like CFD-based aerodynamic modeling, propeller dynamometry, and flight control systems. Awards: Edward H. Heinemann Award (2019), Barry Goldwater Scholarship (2009), NSF Graduate Fellowship (2010). Teaching: Courses include Fundamentals of Aerodynamics, Aerospace Engineering Lab, and UAS Design/Analysis. Grants: Recent funding includes projects on spatial disorientation tools, drone payload capture systems, and autonomy for dynamic missions. Professional memberships include the Atmospheric Flight Mechanics committee and the Vertical Flight Society. His lab collaborates on projects like the Bellwether flying wing and Formula SAE aerodynamics optimization.

John E. FaganView profile

Professor

• Alternative Energy Transportation Systems
• GPS and DGPA Navigation Systems
• Control Systems

John E. Fagan serves as Presidential Professor of Electrical and Computer Engineering at the Gallogly College of Engineering, University of Oklahoma. He holds a B.S., M.S., and Ph.D. from the University of Texas, and maintains active roles in both teaching and research. Education: University of Texas (B.S., M.S., Ph.D.) His research focuses on Alternative Energy Transportation Systems , GPS Navigation , and Control Systems , with notable projects including: Development of solar and electric vehicles for national/international competitions (Spirit of Oklahoma, Formula Lightning) Collaboration with FAA and OU Department of Aviation on GPS-based aircraft navigation systems (WAAS, LAAS) Principal Investigator for flight test programs involving WAAS/LAAS navigators and C-129 GPS systems Current projects involve precision approach procedures for aircraft and high-speed electric vehicle design.

• Aerospace Engineering
• Aerodynamics
• Thermodynamics
• +7 more

Dr. Richard Hann is a Senior Researcher and Director of the UAV Icing Lab at NTNU. His work focuses on in-flight icing of UAVs, UAS, and eVTOL aircraft, with over 30 publications in this field. He leads the UAV Icing Lab, supervising five PhD students and several master's students. He also serves as a lead aerodynamics engineer and shareholder at UBIQ Aerospace, a spin-off commercializing ice protection systems. His research emphasizes UAV applications in cold climates, particularly in Svalbard, including meteorology, glaciology, and atmospheric pollution studies. Education: Bachelor/Master in Aerospace Engineering from the University of Stuttgart (2013) PhD in UAV Icing from NTNU (2020) Research Interests: Atmospheric icing mechanisms, UAV cold-climate operations, Arctic drone applications, and ice protection technologies. He collaborates on projects like glacier mapping in Svalbard and environmental forensics. Articles Trends: Recent work emphasizes experimental validation of ice protection systems, CFD modeling of icing effects, and UAV performance under icing conditions. Arctic-focused studies dominate, with contributions to glaciology and environmental monitoring via drone technology. Advising & Grants: Supervises five PhD students and master's researchers. His lab develops ice protection systems and collaborates with UBIQ Aerospace for commercialization. Active in international conferences and NATO STO reports on icing challenges. Labs/Teams: Leads the UAV Icing Lab at NTNU and collaborates with UBIQ Aerospace. Engages Arctic researchers in Svalbard for drone-based field campaigns.

Fikret ÇalışkanView profile

Professor

• Control Systems
• Fault Detection and Isolation
• Kalman Filtering
• +5 more

Fikret Çalışkan serves as a Professor in the Department of Control and Automation Engineering at Istanbul Technical University. With an h-index of 15 and 55 research outputs documented through Scopus, his academic career spans multiple decades of contributions to control systems engineering. His research profile shows consistent publication activity from 1995 through projected 2025 works, with significant output in recent years. Professor Çalışkan's research focuses on advanced control systems with particular expertise in Kalman filtering techniques , fault detection and isolation , and autonomous aircraft systems . His fingerprint analysis reveals strong specialization in actuator systems (80%), Kalman filters (100%), and multiple fault detection methodologies (47-53%). His work bridges theoretical control engineering with practical applications in UAV technology, indoor positioning systems, and aircraft propulsion. Analysis of his recent publications shows a clear trajectory toward increasingly complex autonomous systems, with growing integration of machine learning techniques (particularly reinforcement learning) with traditional control methodologies. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and signal processing, with applications spanning from indoor navigation to hybrid-electric aircraft propulsion. Professor Çalışkan has supervised 15 research projects throughout his career, securing funding for significant research initiatives including AI-based visual inspection systems for aircraft surfaces (2020-2022) and nonlinear multirotor modeling, fault detection, and implementation (2018-2021). His research demonstrates strong industry relevance with practical applications in aviation safety, autonomous systems, and energy-efficient control solutions.

Kirsten M A RevellView profile

Researcher

• User-Centered Design
• Human Factors Engineering
• Autonomous Systems Design
• +6 more

Dr Kirsten M A Revell is a Visiting Researcher at the University of Southampton within the Engineering and Physical Sciences faculty. Her research focuses on user-centered design principles applied across domains, including aviation, autonomous systems, and domestic energy consumption. She employs mixed-method approaches to investigate human-system interactions. Current Projects : Future Flight Deck Project: Evaluating cockpit design, pilot tasks, and crew configurations (single pilot operations). Hi:DAV Project: Designing human interactions with autonomous vehicles (funded by Jaguar Land Rover and EPSRC). Prior Work included: Energy behavior modification via interface design. Usability analysis of military command systems and metaphorical design proposals. Ergonomic principles in consumer product design (e.g., Design Museum Sky remote control exhibit). Research Affiliations : Transportation Group (part of the Transportation Research Group). REASON Project: Trustworthy Autonomous Systems (UKRI-funded). Solent Future Transport Zone: Collaborating with Universities and Local Authorities on passenger mobility and freight logistics. Contact : Located at Southampton Boldrewood Innovation Campus, Burgess Road, Southampton SO16 7QF.

Roberto SabatiniView profile

Professor

• Aeronautics and Astronautics
• Aerospace Systems
• Avionics Systems
• +7 more

Roberto Sabatini is an Honorary Professor at RMIT University's School of Engineering and a Professor of Aeronautics and Astronautics at Khalifa University (UAE). He holds adjunct roles at multiple institutions, including RMIT's Sir Lawrence Wackett Defence and Aerospace Centre and Chosun University in South Korea. With three decades of experience, his research focuses on aerospace systems, autonomous systems, and AI-driven solutions for aviation and space sectors. His expertise spans avionics, space domain awareness, trusted autonomy, and sustainable aviation. He leads projects funded by governments and industry partners such as Thales and NASA. Notable contributions include innovations in UAS traffic management, GNSS systems, and space debris tracking. Prof. Sabatini has authored over 300 publications and is listed in Stanford's top 2% of cited scientists (2019–present). Awards include the 2021 Distinguished Leadership Award and Scientist of the Year (2019). He chairs Khalifa University's Aerospace Research Strategy Committee and serves on IEEE's Board of Governors. Key Collaborations : ICAO, NASA, UAE Space Agency, and Korea Aerospace Research Institute. Leadership Roles : IEEE AESS Avionics Systems Panel Chair (2021–2024), Vice President of Technical Operations (2024). Research interests emphasize cyber-physical systems, space traffic management, and AI applications. His work bridges academia and industry, addressing challenges in advanced air mobility and sustainable aerospace development.

• Maritime Engineering
• Applied Mathematics
• Civil Engineering
• +9 more

Dr. Francis Valentinis is an Adjunct Professor at the School of Engineering, RMIT University (City Campus, Australia). His research focuses on maritime engineering, applied mathematics, and control systems, with specific interests in Maritime Platform Dynamics, Flight Dynamics, Mechatronic Systems Design, and Nonlinear Control. He contributes to advancing underwater vehicle dynamics, fluid mechanics, and control engineering through collaborative research. His recent work includes modeling hydrodynamic forces in underwater systems and developing energy-based control strategies for marine craft. Though no awards or grants are explicitly stated, his publications reflect expertise in interdisciplinary engineering challenges. He teaches at RMIT and collaborates with global institutions through his adjunct role.

• Computer Vision
• Robotics
• Biomedical Engineering
• +3 more

Javaan Singh Chahl is a Professor at the School of Engineering within UniSA STEM at the University of South Australia, based at the Mawson Lakes Campus. His roles include DST Joint Chair of Sensor Systems. His research focuses on biomimetic systems, computer vision, UAV control, thermal management, and biomedical applications. He has authored/co-authored over 20 peer-reviewed publications since 2013, including work on ocular disease detection via deep learning, UAV gesture recognition datasets, and thermal management of electrical motors using Peltier technology. Education: Not explicitly listed in provided texts. Affiliations: UniSA STEM, School of Engineering, DST Joint Chair role. Research highlights include: Bioinspired flight control systems mimicking insect optical sensors and appendages. Development of vision-based systems for non-invasive medical diagnostics (e.g., ocular diseases, neonatal jaundice) using computer vision and Raspberry Pi platforms. Innovative thermal management solutions for electrical motors leveraging thermoelectric coolers. Creation of UAV-GESTURE dataset advancing gesture-based drone control. His work bridges robotics, biomedical engineering, and environmental monitoring, with applications in healthcare, disaster relief, and autonomous systems.

Luis DelgadoView profile

Lecturer

• Air Transport Management
• Mobility Modeling
• Aircraft Performance Analysis
• +3 more

Luis Delgado is a Lecturer at the University of Westminster since 2014, previously serving as a lecturer at the Technical University of Catalonia (2007–2014). He holds a PhD (2013) in Air Traffic Flow Management and dual degrees in Computer Science Engineering (UPC) and Aeronautical Engineering (ENAC). His research focuses on Air Transport Management and mobility systems, emphasizing agent-based modeling, airline behavior analysis, and machine learning applications in air traffic optimization. He contributes to the Transport and Mobilities Centre for ATM Research. Teaching involves the Air Traffic Management Master’s program, including supervision of MSc research and participation in DfT training initiatives. His work addresses challenges like pre-tactical delay prediction, multimodal integration (air-rail), and trajectory optimization under weather uncertainties. Key projects include the Mercury simulator and Dispatcher3/Pilot3 frameworks for flight planning and decision support. Research outputs span over 50 publications, covering topics such as CO2 emissions modeling, fair delay assignment, and performance metrics for air traffic networks. He actively collaborates on EU-funded initiatives like Vista and Domino to advance strategic ATM modeling and KPI alignment.

Shirley LuckhartView profile

Professor

• Malaria Research
• Innate Immunity
• Vector-borne Diseases
• +3 more

Shirley Luckhart is a Professor of Entomology, Plant Pathology and Nematology at the College of Agricultural and Life Sciences and Professor of Biological Sciences at the College of Science, University of Idaho. She serves as Co-Director of the Institute for Health in the Human Ecosystem. Her research focuses on arthropod-borne infectious diseases, particularly malaria, with an emphasis on innate immunity in mosquito and mammalian hosts, transmission blocking interventions, and the impact of HIV/malaria co-infection. Luckhart’s lab has studied murine and non-human primate models of malaria for over 25 years. Education: Ph.D., Rutgers University (1995); M.S., Auburn University (1990); B.S., University of Florida (1986). She holds dual appointments in Entomology and Biological Sciences, reflecting her interdisciplinary research on vector-borne diseases. Research interests include regulation of malaria parasite development in mosquitoes, host immune responses to infection, and how host factors like histamine and serotonin influence vector behavior and transmission. Recent work explores metabolic pathways (e.g., coenzyme A biosynthesis) as targets for interventions. Her team also investigates HIV/malaria co-infection dynamics in Kenya, revealing how HIV alters malaria transmission potential. Publications highlight breakthroughs in understanding host-parasite interactions, including cytokine roles in intestinal barrier integrity and the impact of environmental factors like histamine on mosquito feeding behavior. Awards include the Founders’ Memorial Award (Entomological Society of America) and recognition for mentoring. Luckhart leads the Luckhart Lab, fostering global health research and training. Her work bridges basic science and community-driven solutions to combat vector-borne diseases, emphasizing equity in healthcare access and public health policy.

• Control Systems
• Cybersecurity in Control Systems
• Distributed Optimization
• +3 more

Xiao Tan is a Postdoctoral Scholar Research Associate in Mechanical and Civil Engineering at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. Their research focuses on control systems, cybersecurity in control systems, distributed optimization, robotics, aerospace engineering, and safety-critical systems. Key research interests include developing secure control strategies under sensor attacks, designing safety filters for flight control systems, and advancing distributed optimization algorithms for multi-agent systems. Xiao Tan has also explored control barrier functions for safety verification in interconnected systems and human-in-the-loop planning for precision agriculture robotics. Recent publications emphasize computational efficiency in safe control, violation-free distributed optimization, and the application of control theory to aerospace and robotics challenges. Their work bridges theoretical control design with practical implementations in cyber-physical systems. Xiao Tan’s contributions span algorithm development, safety verification, and the integration of human interaction with automated systems. Current research trends highlight a focus on robustness, real-time implementation, and interdisciplinary applications of control systems in safety-critical domains.

Cristina Losada GutiérrezView profile

Professor

• Computer Vision
• Robotics
• Deep Learning
• +3 more

Cristina Losada Gutiérrez is a Professor at the Department of Electronics, Universidad de Alcalá, Spain. She leads research in the GEINTRA group, focusing on Electronic Engineering applied to Intelligent Spaces and Transport. Her work integrates computer vision, robotics, and deep learning for applications in smart surveillance, human activity analysis, and assistive technologies. She earned a PhD in 2010 with a thesis on 3D robot localization using static camera networks. Her research spans real-time action recognition, anomaly detection, and sensor fusion for healthcare and transportation systems. Notable projects include the GEMS Erasmus+ initiative (Ruby sensory module) and EU-funded EYEFUL systems for functional evaluation. Her recent publications emphasize edge computing frameworks for video analysis, weakly-supervised learning models, and robust object detection in dynamic environments. She actively contributes to educational robotics projects like Eurobot Spain and explores portable architectures for intelligent wheelchairs. Her lab develops multisensory systems for applications such as crowd safety (stampede detection) and railway obstacle detection, leveraging time-of-flight cameras and deep learning pipelines. She collaborates internationally on projects blending academic research with industrial and societal challenges.

Edward SmartView profile

Research Fellow

• Data Analysis
• Machine Learning
• Anomaly Detection
• +3 more

Dr Edward Smart is a Principal Research Fellow at the University of Portsmouth, affiliated with the Faculty of Technology and School of Electrical and Mechanical Engineering. He is also part of the Centre of Excellence in Defence, Risk & Resilience, Portsmouth AI and Data Science Centre, and the Centre for Operational Research & Logistics. He holds a PhD from the University of Portsmouth (2011) and an MMath from the University of Reading (2005). Education: PhD in Engineering, University of Portsmouth, 2011 MMath in Mathematics, University of Reading, 2005 Research Interests: Dr Smart focuses on learning algorithms for detecting rare or abnormal events in industrial data, particularly in manufacturing, computing, agri-tech, and transport sectors. His work emphasizes anomaly detection, condition-based monitoring, and predictive maintenance, with applications in maritime, railway, aerospace, and high-performance computing industries. He has secured over £6.8M in grants from Innovate UK, STFC, and DASA, collaborating with institutions like Southampton, Nottingham, UCLAN, and Brunel. Grants & Collaborations: Lead or co-investigator on 20+ grants totaling £6.8M (over £3.4M for Portsmouth) Collaborations with industry partners in maritime, railway, aerospace, and agri-tech sectors Labs & Teams: Active in the Centre for Operational Research & Logistics and the Food Cultures in Transition research cluster. He contributes to researcher development through the Researcher Concordat implementation and previously chaired the Researchers' Network.

Henry PernickaView profile

Teaching Professor

• Astrodynamics
• Orbital Mechanics
• Spacecraft Design
• +7 more

Dr. Henry Pernicka is a Curators’ Distinguished Teaching Professor in the Department of Mechanical and Aerospace Engineering at Missouri University of Science and Technology. He leads the Space Systems Engineering Laboratory and advises the Missouri S&T Satellite research team (M-SAT) and the Formula Society of Automotive Engineers (FSAE) team. Ph.D. in Aeronautical and Astronautical Engineering (1990) M.S. in Aeronautical and Astronautical Engineering (1986) B.S. in Aeronautical and Astronautical Engineering (1984) His research focuses on astrodynamics , libration point orbits , spacecraft formation control , and small satellite systems . He has pioneered the use of neural networks and genetic algorithms for spacecraft attitude control and trajectory optimization, advancing applications in swarm missions and precision formation flying . Recent publications highlight trends in spacecraft propulsion , vision-based navigation , and machine learning for formation missions. Key areas include plasmonic force propulsion , genetic algorithm trajectory design , and GPS/star tracker integration . Curators’ Distinguished Teaching Professor Managing Editor of The Journal of the Astronautical Sciences (1999-2011) As an advisor, Dr. Pernicka has mentored 8 Ph.D. and 34 master’s students. His work bridges spacecraft design , dynamics and control , and educational outreach through initiatives like the M-SAT program and high-altitude ballooning projects.

• Behavioral Ecology
• Zoology
• Acoustic Ecology
• +3 more

Hannah ter Hofstede is a Professor at the University of Windsor, contributing expertise in behavioral ecology and sensory systems. Her research focuses on predator-prey interactions, insect communication, and acoustic ecology, with particular attention to bats and orthopterans like katydids and crickets. She explores how environmental factors like wind and predation risks shape communication strategies, employing bioacoustic methods and DNA analysis to study ecological dynamics. Her work spans field studies in Neotropical forests, examining signaling behaviors, herbivory patterns, and defense mechanisms against predators like bats. She also investigates sensory adaptations in moths and bats, using neural modeling to understand predator evasion. Dr. ter Hofstede emphasizes interdisciplinary approaches, integrating machine learning and molecular techniques into ecological research. Her contributions include advancing undergraduate research abroad programs, fostering experiential learning in field biology. Her research has been featured in prominent journals, addressing topics such as bat echolocation, moth defense systems, and the coevolution of communication systems. While her specific academic department at the University of Windsor is not explicitly stated, her affiliations align with the university's science faculty, reflecting her interdisciplinary approach to ecological and evolutionary biology.