Contact Dr Ivan Petrunin
- Tel: +44 (0) 1234 758262
- Email: i.petrunin@cranfield.ac.uk
- ORCID
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Gas Turbines & Propulsion
- Industrial Automation
- 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", Kiev, 1996 and 1998
Lecturer in Digital Signal Processing in National Technical University of Ukraine "KPI", Kiev , 2001-2005
PhD in Signal Processing for Condition Monitoring, Cranfield, 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
- Shell PLC
- SSE PLC
- Peter Brotherhood (Howden Group)
- Transport for London
Publications
Articles In Journals
- Inyang UI, Petrunin I & Jennions I. (2024). 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)
- 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)
- 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)
- Alharbi AA, 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, Zanotti Fragonara L, 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, Zanotti Fragonara L, 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)
Conference Papers
- Villalonga Torres M, Elmi Tabassum T, Petrunin I & Tsourdos A. (2024). Hybrid Multi-Sensor Navigation System With Uncertainty Correction for GNSS-Denied Environments
- Delezenne Q, Petrunin I, Xu Z, Neptune J & Bleakley T. (2024). Autonomous Navigation with Taxiway Crossings Identification using Camera Vision and Airport Map
- Geragersian P, Petrunin I, Guo W & Grech R. (2023). Uncertainty-based Sensor Fusion Architecture using Bayesian-LSTM Neural Network
- Shaikh MY, Petrunin I & Zolotas A. (2023). Self-supervised Obstacle Detection During Autonomous UAS Taxi Operations
- Negru SA, Geragersian P, Petrunin I, Zolotas A & Grech R. (2023). GNSS/INS/VO fusion using Gated Recurrent Unit in GNSS denied environments
- Villalobos Hernandez GE, Petrunin I, Shin H-S & Gilmour J. (2023). Robust Multi-Sensor Navigation in GNSS Degraded Environments
- Huang C, Petrunin I & Tsourdos A. (2023). Object Detection for Ground-based Non-cooperative Surveillance in Urban Air Mobility Utilizing Lidar-Camera Fusion
- Wisniewski M, Rana ZA & Petrunin I. (2023). Reinforcement Learning for Pan-Tilt-Zoom Camera Control, with Focus on Drone Tracking
- Ozdemir YE, Isik OK, Geragersian P, Petrunin I, Grech R, .... (2023). Performance Enhancement of Low-Cost INS/GNSS Navigation System Operating in Urban Environments
- Huang C, Petrunin I & Tsourdos A. (2023). Dynamic Graph Propagation for Performance-based Tactical Conflict Resolution in Urban Air Mobility
- Huang C, Petrunin I & Tsourdos A. (2023). Radar-Camera Fusion for Ground-based Perception of Small UAV in Urban Air Mobility
- Negru SA, Petrunin I, Guo W & Tsourdos A. (2023). Design and hardware-in-the-loop evaluation of a time dissemination framework for drone operations in urban environments
- Negru SA, Geragersian P, Petrunin I, Grech R & Buesnel G. (2023). Realism-Oriented Design, Verification, and Validation of Novel Robust Navigation Solutions
- Xu Z, Petrunin I, Tsourdos A, Grech R, Peltola P, .... (2023). Combination and Selection of Machine Learning Algorithms in GNSS Architecture Design for Concurrent Executions with HIL Testing
- Huang C, Petrunin I & Tsourdos A. (2023). Distributed Trajectory Management for Urban Air Mobility Operations with Ground-based Edge Intelligence
- Shaikh MY, Petrunin I & Zolotas A. (2023). Correction: Self-supervised Obstacle Detection During Autonomous UAS Taxi Operations
- Geragersian P, Petrunin I, Guo W & Grech R. (2023). A Hybrid Deep Learning Approach for Robust Multi-Sensor GNSS/INS/VO Fusion in Urban Canyons
- Geragersian P, Petrunin I, Guo W & Grech R. (2022). An INS/GNSS fusion architecture in GNSS denied environment using gated recurrent unit
- Farr AJ, Petrunin I, Kakareko G & Cappaert J. (2022). Self-Supervised Vessel Detection from Low Resolution Satellite Imagery
- Kim S, Petrunin I & Shin H-S. (2022). A Review of Kalman Filter with Artificial Intelligence Techniques
- Xu S, Petrunin I & Tsourdos A. (2022). Experimental Evaluation of GNSS and IMU Fusion Using Gated Recurrent Unit
- Bennett C, Harman S & Petrunin I. (2022). Realistic Simulation of Drone Micro-Doppler Signatures
- Huang C, Petrunin I & Tsourdos A. (2022). Strategic Conflict Management for Performance-based Urban Air Mobility Operations with Multi-agent Reinforcement Learning
- Geragersian P, Petrunin I, Guo W & Grech R. (2022). Multipath Detection from GNSS Observables Using Gated Recurrent Unit
- Alharbi A, Petrunin I & Panagiotakopoulos D. (2022). Traffic Flow Prediction for UTM Application: A Deep Learning Approach
- Doumard T, Riesco FG, Petrunin I, Panagiotakopoulos D, Bennett C, .... (2022). Radar Discrimination of Small Airborne Targets Through Kinematic Features and Machine Learning
- Elmi Tabassum T, Petrunin I & Rana Z. (2022). Failure Mode Analysis (FMA) for Visual-Based Navigation for UAVs in Urban Environment
- Tabassum TE, Petrunin I & Rana Z. (2022). A fault tolerant multi-sensor fusion navigation system for drone in urban environment
- Nanos N, Isik OK, Verdeguer Moreno R, Petrunin I, Panagiotakopoulos D, .... (2021). UAV Path Planning Optimization based on GNSS Quality and Mission Requirements
- Panagiotakopoulos D, Williamson A, Petrunin I, Harman S, Quilter T, .... (2021). Developing Drone Experimentation Facility: Progress, Challenges and cUAS Consideration
- Tariq N, Petrunin I & Al-Rubaye S. (2021). Analysis of Synchronization in Distributed Avionics Systems Based on Time-Triggered Ethernet
- Alharbi A, Petrunin I & Panagiotakopoulos D. (2021). Identification and Characterization of Traffic Flow Patterns for UTM application
- Isik OK, Petrunin I, Inalhan G, Tsourdos A, Moreno RV, .... (2021). A Machine Learning Based GNSS Performance Prediction for Urban Air Mobility Using Environment Recognition
- Martinez VC, Ince B, Selvam PK, Petrunin I, Seo M, .... (2021). Detect and Avoid Considerations for Safe sUAS Operations in Urban Environments
- Jeon B-J, Petrunin I & Tsourdos A. (2021). Recurrent Neural Network based Sensor Fusion Algorithm for Alternative Position, Navigation and Timing
- Wisniewski M, Rana ZA & Petrunin I. (2021). Drone Model Identification by Convolutional Neural Network from Video Stream
- Tariq N, Petrunin I, Tsourdos A & Al-Rubaye S. (2020). External Synchronisation in Time-Triggered Networks
- Alharbi A, Poujade A, Malandrakis K, Petrunin I, Panagiotakopoulos D, .... (2020). Rule-Based Conflict Management for Unmanned Traffic Management Scenarios
- Tariq N, Petrunin I, Al-Rubaye S, Tsourdos A & Zischka W. (2020). Quality of Service Study in Synchronized Time-Triggered Aerial Networks
- Ayub S, Petrunin I, Tsourdos A, Al-Rubaye S, Stapylton G, .... (2020). In-Flight Entertainment Datalink Analysis and Simulation
- Deliparaschos KM, Santha G, Fragonara LZ, Petrunin I, Zolotas AC, .... (2020). A Preliminary Investigation of an Autonomous Vehicle Validation Infrastructure for Smart Cities
- Xu Z, Petrunin I, Tsourdos A, Sabyasachi M & Williamson A. (2019). Cognitive Communication Scheme for Unmanned Aerial Vehicle Operation
- Ayub S, Petrunin I, Tsourdos A & Xu Z. (2019). Analysis of Wireless Connectivity Applications at Airport Surface
- Xu Z, Petrunin I, Tsourdos A & Ayub S. (2019). Learning Based Spectrum Hole Detection for Cognitive Radio Communication
- Mori Gonzalez G, Petrunin I, Zbikowski R, Voutsis K & Verdeguer Moreno R. (2019). Vulnerability Analysis of GPS Receiver Software
- Xu Z, Ivan P, Li T & Tsourdos A. (2019). Greedy Based Proactive Spectrum Handoff Scheme for Cognitive Radio Systems
- Mohammadkhani R, Fragonara LZ, Janardhan PM, Petrunin I, Tsourdos A, .... (2019). Ultrasonic Phased Array Imaging Technology for the Inspection of Aerospace Composite Structures
- Gray I, Padiyar MJ, Petrunin I, Raposo J, Zanotti Fragonara L, .... (2019). A novel approach for the autonomous inspection and repair of aircraft composite structures
- Weber S, Southgate D, Mullaney K, James S, Rutherford R, .... (2018). Bladesense - A novel approach for measuring dynamic helicopter rotor blade deformation
- Kostopoulos V, Psarras S, Loutas T, Sotiriadis G, Gray I, .... (2018). Autonomous Inspection and Repair of Aircraft Composite Structures
- Gelman L, Jennions I & Petrunin I. (2011). Detection of chipped tooth in gears by the novel residual technology
- Borisov A, Gelman L, Gryllias K, Petrunin I, Nze I, .... (2011). The cross-correlation between acoustics and vibrations from a multi-stage gearbox
- Gelman L & Petrunin I. (2011). Novel anomaly detection based on the nearest neighbours and sequential methods
- Gelman L & Petrunin I. (2011). Non-stationary narrowband Gaussian swept excitation for damage diagnosis
- Gelman L, Borisov A, Petrunin I & Thompson C. (2010). Signal processing for condition monitoring: Present and future - Plenary keynote paper
- Gelman L, Petrunin I & Llorens J. (2010). New time-frequency adaptive techniques for damage diagnosis in non-stationary conditions
- Gelman L & Petrunin I. (2009). The higher order spectra for condition monitoring/NDT in non-stationary conditions: Part II
- Gelman L & Petrunin I. (2009). The higher order spectra for condition monitoring/NDT in non-stationary conditions: Part I
- Gelman L, Noble T, Petrunin I & Eyre C. (2009). In-service prediction of fatigue cracks in the moving blades of turbo-machinery
- Petrunin I & Gelman L. (2008). Novel optimisation of bicoherence estimation for fatigue monitoring
- Gelman LM, Petrunin IV & Thompson C. (2004). Fatigue crack monitoring in aero-engines: simulation and experiments
- Gelman L, Petrunin I, Sanderson M & Thompson C. (2004). Damage Detection Capabilities Based on New Signal Processing Approach
- Gelman L, Braun S & Petrunin I. (2001). The optimal usage of the Fourier transform for condition monitoring and diagnostics
Books
- Petrunin I & Tang G. (2023). Chapter 21 Sensors for aerial, automotive, and robotic applications In Advanced Sensor Technology. Elsevier.
- Petrunin I & Tang G. (2023). Sensors for aerial, automotive, and robotic applications In Advanced Sensor Technology. Elsevier.
- Petrunin I & Tang G. (2022). Sensors for aerial, automotive, and robotic applications In Barhoum A & Altintas Z (eds), Advanced Sensor Technology: Biomedical, Environmental, and Construction Applications. Elsevier.
