Contact Dr Ivan Petrunin
- Tel: +44 (0) 1234 758262
- Email: i.petrunin@cranfield.ac.uk
- ORCID
Areas of expertise
- Aeronautical Systems
- Autonomous Systems
- Computing, Simulation & Modelling
- Instrumentation, Sensors and Measurement Science
- Through-life Engineering Services
- Vehicle Health Management
Background
BSc and MSc in design of electronic equipment, National Technical University of Ukraine "KPI", Kyiv, Ukraine, 1996 and 1998
Lecturer in Digital Signal Processing in National Technical University of Ukraine "KPI", Kyiv, Ukraine, 2001-2005
PhD in Signal Processing for Condition Monitoring, Cranfield University, UK, 2013
Current activities
Ivan has extensive knowledge and experience in the area of Digital Signal Processing for Autonomous Systems which covers sensor technologies, perception, data and information fusion, and decision-making for Cyber-Physical Systems. Applications for these developments include vehicle health management, communication and surveillance solutions and, more recently, Position, Navigation and Timing (PNT) for aerospace and ground-based Autonomous and Intelligent Systems.
Ivan's research in this area has a particular emphasis on the enhancement of performance and safety aspects of the operations by developing and employing techniques based on Artificial Intelligence.
These research activities are supported by funding from a range of funding sources, such as ESA NavISP and H2020 programmes, Innovate UK and EPSRC, where several projects are running in collaboration with industrial partners, such as Thales, Telespazio UK, Spirent Communications.
Ivan is involved in and actively supporting the development and operation of several research facilities, such as the instrumentation of Muti-User Environment for Autonomous Vehicle Innovation (MUEAVI), Research and Innovation Timing Node, PNT simulation facility.
Clients
- BAE Systems PLC
- Thales SA
- Spirent Communications plc
- Telespazio S.p.A.
- Airbus SE
- Rolls-Royce Holdings PLC
- Transport for London
- Vodafone Group PLC
- Jaguar Land Rover Ltd
Publications
Articles In Journals
- Kim S, Petrunin I & Shin H-S. (2025). A review of Bayes filters with machine learning techniques and their applications. Information Fusion, 114
- Tabassum TE, Petrunin I & Rana ZA. (2025). A comparative analysis of hybrid sensor fusion schemes for visual–inertial navigation. IEEE Transactions on Instrumentation and Measurement, 74
- Kim S, Petrunin I & Shin H-S. (2024). AFJPDA: a multiclass multi-object tracking with appearance feature-aided joint probabilistic data association. Journal of Aerospace Information Systems, 21(4)
- Iyaghigba SD, Petrunin I & Avdelidis NP. (2024). Modeling a hydraulically powered flight control actuation system. Applied Sciences, 14(3)
- Negru SA, Geragersian P, Petrunin I & Guo W. (2024). Resilient multi-sensor UAV navigation with a hybrid federated fusion architecture. Sensors, 24(3)
- Lee S, Yuan Z, Petrunin I & Shin H. (2024). Impact analysis of time synchronization error in airborne target tracking using a heterogeneous sensor network. Drones, 8(5)
- Ince B, Martinez VC, Selvam PK, Petrunin I, Seo M, .... (2024). Sense and avoid considerations for safe sUAS operations in urban environments. IEEE Aerospace and Electronic Systems Magazine, PP(99)
- Wisniewski M, Rana ZA, Petrunin I, Holt A & Harman S. (2024). Towards fully autonomous drone tracking by a reinforcement learning agent controlling a pan–tilt–zoom camera. Drones, 8(6)
- Isik OK, Petrunin I & Tsourdos A. (2024). Machine learning-based environment-aware GNSS integrity monitoring for urban air mobility. Drones, 8(11)
- Üstek İ, Arana‐Catania M, Farr A & Petrunin I. (2024). Deep autoencoders for unsupervised anomaly detection in wildfire prediction. Earth and Space Science, 11(11)
- Inyang UI, Petrunin I & Jennions I. (2023). Diagnosis of multiple faults in rotating machinery using ensemble learning. Sensors, 23(2)
- Huang C, Petrunin I & Tsourdos A. (2023). Strategic conflict management using recurrent multi-agent reinforcement learning for urban air mobility operations considering uncertainties. Journal of Intelligent & Robotic Systems, 107(2)
- Alharbi A, Petrunin I & Panagiotakopoulos D. (2023). Deep learning architecture for UAV traffic-density prediction. Drones, 7(2)
- Alharbi A, Petrunin I & Panagiotakopoulos D. (2023). Assuring safe and efficient operation of UAV using explainable machine learning. Drones, 7(5)
- Tabassum TE, Xu Z, Petrunin I & Rana ZA. (2023). Integrating GRU with a Kalman filter to enhance visual inertial odometry performance in complex environments. Aerospace, 10(11)
- Wisniewski M, Rana ZA & Petrunin I. (2022). Drone model classification using convolutional neural network trained on synthetic data. Journal of Imaging, 8(8)
- Inyang UI, Petrunin I & Jennions I. (2022). A composite learning approach for multiple fault diagnosis in gears. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 238(1)
- Alharbi A, Petrunin I & Panagiotakopoulos D. (2022). Modeling and characterization of traffic flow patterns and identification of airspace density for UTM application. IEEE Access, 10
- Xu Z, Petrunin I & Tsourdos A. (2021). Dynamic spectrum management with network function virtualization for UAV communication. Journal of Intelligent & Robotic Systems, 101(2)
- Xu Z, Petrunin I & Tsourdos A. (2021). Modeling and performance analysis of opportunistic link selection for UAV communication. Sensors, 21(2)
- Weber S, Kissinger T, Chehura E, Staines S, Barrington J, .... (2021). Application of fibre optic sensing systems to measure rotor blade structural dynamics. Mechanical Systems and Signal Processing, 158(September)
- Xu Z, Petrunin I, Li T & Tsourdos A. (2021). Efficient allocation for downlink multi-channel NOMA systems considering complex constraints. Sensors, 21(5)
- Padiyar M J, Fragonara LZ, Petrunin I, Raposo J, Tsourdos A, .... (2021). Fast, accurate, and reliable detection of damage in aircraft composites by advanced synergistic infrared thermography and phased array techniques. Applied Sciences, 11(6)
- Inyang U, Petrunin I & Jennions I. (2021). Health condition estimation of bearings with multiple faults by a composite learning-based approach. Sensors, 21(13)
- Isik OK, Hong J, Petrunin I & Tsourdos A. (2020). Integrity analysis for GPS-based navigation of UAVs in urban environment. Robotics, 9(3)
- Xu Z, Petrunin I & Tsourdos A. (2020). Identification of communication signals using learning approaches for cognitive radio applications. IEEE Access, 8
- Gelman L, Petrunin I, Parrish C & Walters M. (2020). Novel health monitoring technology for in‐service diagnostics of intake separation in aircraft engines. Structural Control and Health Monitoring, 27(5)
- Mohammadkhani R, Fragonara LZ, Padiyar M J, Petrunin I, Raposo J, .... (2020). Improving depth resolution of ultrasonic phased array imaging to inspect aerospace composite structures. Sensors, 20(2)
- Gelman L, Parrish C, Petrunin I & Walters M. (2017). Novel in-service combustion instability detection using the chirp fourier higher order spectra. International Journal of Prognostics and Health Management, 8(1)
- Gelman L, Petrunin I, Jennions IK & Walters M. (2012). Diagnostics of Local Tooth Damage in Gears by the Wavelet Technology. International Journal of Prognostics and Health Management, 3(2)
- Gelman L & Petrunin I. (2012). Novel anomaly detection technique based on the nearest neighbour and sequential methods. Insight - Non-Destructive Testing and Condition Monitoring, 54(8)
- Gelman L, Jennions I & Petrunin I. (2011). Detection/diagnosis of chipped tooth in gears by the novel residual technology. International Journal of Prognostics and Health Management, 2(2)
- Gelman L, Petrunin I & Komoda J. (2010). The new chirp-Wigner higher order spectra for transient signals with any known nonlinear frequency variation. Mechanical Systems and Signal Processing, 24(2)
- Gelman L & Petrunin I. (2010). Time–frequency higher‐order spectra with adjustment to the instantaneous frequency variation. International Journal of Adaptive Control and Signal Processing, 24(3)
- Gelman L & Petrunin I. (2007). The new multidimensional time/multi-frequency transform for higher order spectral analysis. Multidimensional Systems and Signal Processing, 18(4)
- Gelman L, Jenkin P, Petrunin I & Crocker MJ. (2006). Vibroacoustical Damping Diagnostics: Complex Frequency Response Function versus its Magnitude. The International Journal of Acoustics and Vibration, 11(3)
- Gelman L, Jenkin P, Petrunin I, Sanderson M & Thompson C. (2005). Novel vibro-acoustical technology for pipe deposition monitoring. International Journal of COMADEM, 8(4)
- Gelman L, Giurgiutiu V & Petrunin I. (2004). Advantage of using the fourier components pair instead of power spectral density for fatigue crack diagnostics. International Journal of COMADEM, 7(2)
- Gelman L, Petrunin I, Sanderson M & Thompson C. (2003). Vibro-acoustic deposit detection in pipelines. Insight - Non-Destructive Testing and Condition Monitoring, 45(7)
- Gelman L, Astley K & Petrunin I. (2003). Condition monitoring of fatigue cracks in machinery blades. Insight - Non-Destructive Testing and Condition Monitoring, 45(8)
- Gelman LM, Zinkovskii YF & Petrunin IV. (2002). Use of new characteristics based on a Fourier transform for a diagnostic technique of induced oscillations. IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 45(1-2)
- Gel'man LM, Zin'kovskij YF & Petrunin IV. (2002). Comparative methods efficiency of spectral and bispectral analyses in diagnostics of fatigue cracks. Izvestiya Vysshikh Uchebnykh Zavedenij. Radioelektronika, 45(5)
- Gelman LM, Zinkovskii YF & Petrunin IV. (2002). Comparative efficiency of methods of spectral and bi-spectral analyses in the detection of fatigue cracks. IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 45(5-6)
- Gel'man LM, Zin'kovskij YF & Petrunin IV. (2002). Application of new signs based on the Fourier transform for diagnostic method of forced oscillations. Izvestiya Vysshikh Uchebnykh Zavedenij. Radioelektronika, 45(1)
- Gel'man LM, Zin'kovskij YF, Miropol'skij AA & Petrunin IV. (2001). Optimal use of the Fourier transform for the diagnostic method of forced oscillations. Izvestiya Vysshikh Uchebnykh Zavedenij. Radioelektronika, 44(12)
- Gelman LM, Zinkovskii YF, Miropolskii AA & Petrunin IV. (2001). Optimal use of a Fourier transform for a diagnostic technique of induced oscillators. IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 44(11-12)
- Gelman LM, Petrunin IV & Shirkov VT. (2000). Diagnostics of vibration and noise via Fourier transforms: A new approach. The Journal of the Acoustical Society of America, 108(5_Supplement)
- Gelman LM, Zinkovskii YF & Petrunin IV. (2000). Spectral analysis of a non-stationary narrow-band random effect. IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 43(7-8)
