Contact Dr Samir Khan
- Tel: +44 (0) 1234 754667
- Email: Samir.S.Khan@cranfield.ac.uk
Areas of expertise
- Communications Systems
- Computing, Simulation & Modelling
- Instrumentation, Sensors and Measurement Science
- Systems Engineering
Background
Dr. Samir Khan his BEng and PhD from Loughborough University. He was the leading researcher working on the No-Fault Found research project between 2011-2015, at the Through-life Engineering Services Centre within Cranfield University, collaborating with Rolls-Royce, Jaguar Land Rover, BAE Systems, and MoD. In particular, he has developed machine learning solutions for aeronautical systems. Other research work includes performing fault analysis and condition monitoring from track-side feedback sensors, development of IoT technologies, analytics platforms for maintenance decision making and intelligent monitoring of intermittent failures and false alarms in electronic systems. He is a chartered engineer and a member of IEEE and IET.
Current activities
Dr Khan is currently involved in:
Achieving deliverables of the 'No-Fault Found' (NFF) research project
A member of the 'No-Fault Found' working group
Delegation of research tasks and overseeing project progress
Liaising with British Standards Institute (BSI) and working towards the standardisation of NFF taxonomy
Evaluating clients NFF costs involved during their maintenance
Organisation of the industrial day/seminars for dissemination of research results
Publication of the research work
Teaching and supervision of research and PhD students
Health and Safety Manager, First Aider and Fire Marshall.
Clients
- BAE Systems PLC
- Bombardier Inc
- Ministry of Defence
- Rolls-Royce Holdings PLC
Publications
Articles In Journals
- Kontaxoglou A, Tsutsumi S, Khan S & Nakasuka S. (2024). Multifidelity Framework for Small Satellite Thermal Analysis. Journal of Spacecraft and Rockets, 61(1)
- Khan S, Yairi T, Tsutsumi S & Nakasuka S. (2024). A review of physics-based learning for system health management. Annual Reviews in Control, 57
- Palmarini R, Del Amo IF, Ariansyah D, Khan S, Erkoyuncu JA, .... (2023). Fast Augmented Reality Authoring: Fast Creation of AR Step-by-Step Procedures for Maintenance Operations. IEEE Access, 11
- Mohamed NH, Khan S & Jagtap S. (2023). Modernizing Medical Waste Management: Unleashing the Power of the Internet of Things (IoT). Sustainability, 15(13)
- Khan S, Tsutsumi S, Yairi T & Nakasuka S. (2021). Robustness of AI-based prognostic and systems health management. Annual Reviews in Control, 51
- Khan S, Farnsworth M, McWilliam R & Erkoyuncu J. (2020). On the requirements of digital twin-driven autonomous maintenance. Annual Reviews in Control, 50
- Erkoyuncu J & Khan S. (2020). Olfactory-Based Augmented Reality Support for Industrial Maintenance. IEEE Access, 8
- Khan S & Yairi T. (2020). Diagnosing Intermittent Faults through Non-linear Analysis. IFAC-PapersOnLine, 53(2)
- Erkoyuncu JA, Roy R, Shehab E, Durugbo C, Khan S, .... (2019). An effective uncertainty based framework for sustainable industrial product-service system transformation. Journal of Cleaner Production, 208
- Khan S, Liew CF, Yairi T & McWilliam R. (2019). Unsupervised anomaly detection in unmanned aerial vehicles. Applied Soft Computing, 83
- Khan S, Gorringe C & Farnsworth M. (2018). Evaluating diagnostic failures during system design. CIRP Journal of Manufacturing Science and Technology, 21
- McWilliam R, Khan S, Farnsworth M & Bell C. (2018). Zero-maintenance of electronic systems: Perspectives, challenges, and opportunities. Microelectronics Reliability, 85
- Khan S & Yairi T. (2018). A review on the application of deep learning in system health management. Mechanical Systems and Signal Processing, 107
- Erkoyuncu JA, Khan S, Eiroa AL, Butler N, Rushton K, .... (2017). Perspectives on trading cost and availability for corrective maintenance at the equipment type level. Reliability Engineering & System Safety, 168
- Khan S, Farnsworth M & Erkoyuncu J. (2017). A novel approach for No Fault Found decision-making. CIRP Journal of Manufacturing Science and Technology, 17
- Ahmet Erkoyuncu J, Khan S, Hussain SMF & Roy R. (2016). A framework to estimate the cost of No-Fault Found events. International Journal of Production Economics, 173
- Khan S, Phillips P & Jennions I. (2015). Studying the impact of intermittent variations using sensitivity analysis. International Journal of Condition Monitoring, 5(3)
- Khan S. (2015). Research study from industry-university collaboration on “No Fault Found” events. Journal of Quality in Maintenance Engineering, 21(2)
- Khan S. (2015). Maintenance Requirements in Aerospace Systems. Procedia CIRP, 38
- Khan S, Phillips P, Jennions I & Hockley C. (2014). No Fault Found events in maintenance engineering Part 1: Current trends, implications and organizational practices. Reliability Engineering & System Safety, 123
- Khan S, Phillips P, Hockley C & Jennions I. (2014). No Fault Found events in maintenance engineering Part 2: Root causes, technical developments and future research. Reliability Engineering & System Safety, 123
- Khan S, Goodall RM & Dixon R. (2013). Non-uniform sampling strategies for digital control. International Journal of Systems Science, 44(12)
- McWilliam R, Khan S & Purvis A. Modelling the Positional and Orientation Sensitivity of Inductively Coupled Sensors for Industrial IoT Applications. International Journal of Simulation: Systems, Science & Technology
Conference Papers
- Mohamed NH, Khan S, Jagtap S & Jaharuddin MH. (2023). Waste 4.0: Optimising sustainability of waste management using digitalisation for developing countries [Abstract]
- Mohamed Nurul H, Khan S & Jagtap S. (2022). Towards digitalization of Malaysian medical facilities waste management
- Deng H, Khan S & Erkoyuncu JA. (2022). A framework for constructing a common knowledge base for human-machine system to perform maintenance tasks
- Khan S, Yairi T, Nakasuka S & Tsutsumi S. (2022). Reinforcement Learning-based Anomaly Detection for PHM applications
- Kontaxoglou A, Tsutsumi S, Khan S, Shibukawa T & Nakasuka S. (2022). Use of Cokriging for Thermal Analysis in Small Satellites
- McWilliam R, Schiefer P, Purvis A & Khan S. (2019). Stuck-at Fault Resilience using Redundant Transistor Logic Gates
- McWilliam R, Khan S & Purvis A. (2016). Modelling the Positional and Orientation Sensitivity of Proximity Sensors for Industrial IoT
- Sedighi T, Foote PD & Khan S. (2015). Intermittent fault detection on an experimental aircraft fuel rig: Reduce the No Fault Found rate
- Ahmad WS, Perinpanayagam S, Jennions I & Khan S. (2014). Study on Intermittent Faults and Electrical Continuity
- Sedighi T, Foote PD & Khan S. (2014). The Performance of Observer-based Residuals for Detecting Intermittent Faults: The Limitations
- Syed WA, Khan S, Phillips P & Perinpanayagam S. (2013). Intermittent Fault Finding Strategies
Books
- Farnsworth M, McWilliam R, Khan S, Bell C & Tiwari A. (2017). Design for Zero-Maintenance In Advances in Through-life Engineering Services. Springer International Publishing.
- Khan S. (2017). No Fault Found Problems in Asset Management In Optimum Decision Making in Asset Management. IGI Global.
- Hockley C, Jennions IK, Khan S & Phillips P. (2015). No fault found: the search for the root cause
- Farnsworth M, Bell C, Khan S & Tomiyama T. (2015). Autonomous Maintenance for Through-Life Engineering In Through-life Engineering Services. Springer International Publishing.
- Roy R, Shehab E, Hockley C & Khan S (eds). (2012). Enduring and Cost-Effective Engineering Support Solutions: Proceedings of the 1st International Conference on Through-Life Engineering Services