- Air Traffic Management and Optimization
- Aerospace and Aviation Technology
- Human-Automation Interaction and Safety
- Advanced Aircraft Design and Technologies
- Aviation Industry Analysis and Trends
- Space Satellite Systems and Control
- Autonomous Vehicle Technology and Safety
- Robotic Path Planning Algorithms
- Spacecraft Dynamics and Control
- Vehicle emissions and performance
- Target Tracking and Data Fusion in Sensor Networks
- Robotics and Sensor-Based Localization
- Advanced Optical Sensing Technologies
- Indoor and Outdoor Localization Technologies
- Spacecraft Design and Technology
- Underwater Vehicles and Communication Systems
- Advanced Measurement and Detection Methods
- Healthcare Technology and Patient Monitoring
- Astro and Planetary Science
- Traffic control and management
- Inertial Sensor and Navigation
- Rocket and propulsion systems research
- Vehicular Ad Hoc Networks (VANETs)
- Risk and Safety Analysis
- Remote Sensing and LiDAR Applications
Khalifa University of Science and Technology
2022-2025
RMIT University
2015-2024
MIT University
2014-2023
ITS (United Kingdom)
2015-2018
Cranfield University
2013
Integrated System Health Management (ISHM) is a promising technology that fuses sensor data and historical state-of-health information of components subsystems to provide actionable enable intelligent decision-making regarding the operation maintenance aerospace systems. ISHM fundamentally relies on assessments predictions system health, including early detection failures estimation Remaining Useful Life (RUL). Model-based, data-driven or hybrid reasoning techniques can be utilized maximise...
Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS) for aerospace applications have brought about new opportunities the fast-growing satellite industry. The progressive introduction of connected systems associated mission concepts is stimulating development intelligent CPS (iCPS) architectures, which can support high levels flexibility resilience an increasingly congested near-Earth space environment. need higher automation autonomy operations has stimulated...
Abstract This paper describes the research and experimental flight test activities conducted by Italian Air Force Official Test Centre (RSV), in collaboration with Alenia Aermacchi Cranfield University, order to confer night vision imaging systems (NVIS) capability TORNADO Interdiction Strike Electronic Combat Reconnaissance aircraft. The included design, development, test, evaluation activities, including goggle (NVG) integration, cockpit instruments, external lighting modifications, as...
Resurgent interest in artificial intelligence (AI) techniques focused research attention on their application aviation systems including air traffic management (ATM), flow (ATFM), and unmanned aerial (UTM). By considering a novel cognitive human–machine interface (HMI), configured via machine learning, we examined the requirements for such to be deployed operationally an ATM system, exploring aspects of vendor verification, regulatory certification, end-user acceptance. We conclude that into...
Atmospheric effects have a significant impact on the performance of airborne and space laser systems. Traditional models used to predict propagation rely heavily simplified assumptions atmospheric properties their interactions with In engineering domain, these need be continually improved in order develop tools that can beam high accuracy for wide range practical applications such as LIDAR (light detection ranging), free-space optical communications, remote sensing, etc. The underlying...
Advances in the trusted autonomy of air-traffic management (ATM) systems are currently being pursued to cope with predicted growth densities all classes airspace. Highly automated ATM relying on artificial intelligence (AI) algorithms for anomaly detection, pattern identification, accurate inference, and optimal conflict resolution technically feasible demonstrably able take a wide variety tasks accomplished by humans. However, opaqueness inexplicability most intelligent restrict usability...
Cooperative and non-cooperative Sense-and-Avoid (SAA) systems are key enablers for Unmanned Aircraft (UA) to routinely access non-segregated airspace. In this paper some state-of-the-art cooperative sensor system technologies investigated small size UA applications, the associated multisensor data fusion techniques discussed. Non-cooperative sensors including both passive active Forward Looking Sensors (FLS) Traffic Collision Avoidance System (TCAS), Automatic Dependent Surveillance -...
Recent evolutions of the Unmanned Aircraft Systems (UAS) Traffic Management (UTM) concept are driving introduction new airspace structures and classifications, which must be suitable for low-altitude provide required level safety flexibility, particularly in dense urban suburban areas. Therefore, classifications need to evolve based on appropriate performance metrics, while models tools needed address UTM operational requirements, with an increasing focus coexistence manned unmanned Urban...
Recent advances in Artificial Intelligence (AI), sensing and computing technologies have led to the development of new promising concepts for safe efficient operation Distributed Space Systems (DSS) near-Earth orbits. The combined use these allows higher levels autonomy small satellite constellations or clusters, facilitating a more responsive resilient approach Space-Based Surveillance (SBSS), both terms data collection processing. This article presents an innovative DSS mission management...
This paper presents the concept of operations, architecture and trajectory optimisation algorithms a Next Generation Flight Management System (NG-FMS). The NG-FMS is developed for Four Dimensional (4D) Intent Based Operations (IBO) in next generation Communications, Navigation, Surveillance Air Traffic system (CNS+A) context. NG-FMS, primarily responsible aircraft navigation guidance task, acts as key enabler achieving higher level operational efficiency mitigating environmental impacts both...
As part of the ENDEAVOUR project (Evolutionary Network-Centric Technologies for Four Dimensional Trajectory (4DT) Based Operations in Europe: ATM and Avionics Systems Intent Validation, Real-Time Optimisation Uncertainty-Resilient Operations), a novel 4DT Planning, Negotiation Validation (4-PNV) system was developed integration into next generation Communications, Navigation Surveillance/Air Traffic Management (CNS/ATM) environment. The 4-PNV provides negotiation validation capabilities Next...
This paper presents models and algorithms for real-time 4-Dimensional Flight Trajectory (4DT) operations in the next generation Communications, Navigation, Surveillance/Air Traffic Management (CNS/ATM) systems. In particular, are employed multi-objective optimisation of 4DT intents ground-based Planning, Negotiation Validation (4-PNV) systems airborne Next Generation Systems (NG-FMS). The assumed timeframe convention offline online air traffic is introduced discussed. adopted formulation...
The availability of powerful eye-safe laser sources and the recent advancements in electro-optical mechanical beam-steering components have allowed laser-based Light Detection Ranging (LIDAR) to become a promising technology for obstacle warning avoidance variety manned unmanned aircraft applications. LIDAR outstanding angular resolution accuracy characteristics are coupled its good detection performance wide range incidence angles weather conditions, providing an ideal solution, which is...