Rasa Remenyte-Prescott

Contact

• workRoom B52 Coates
  University Park
  Nottingham
  NG7 2RD
  UK
• work0115 84 67366
• r.remenyte-prescott@nottingham.ac.uk

Biography

Dr Rasa Remenyte-Prescott is an Associate Professor in Risk and Reliability Engineering at the University of Nottingham. Rasa gained BSc and MSc degrees with distinction in applied mathematics from Kaunas University of Technology in Lithuania. Following this Rasa undertook her Doctorate research at Loughborough University on systems reliability modelling of non-coherent systems using the Binary Decision Diagram technique. This work led Rasa to develop fast and accurate reliability assessment techniques for Unmanned Aerial Vehicles on an industry-led collaborative project in a postdoctoral research fellow role.

Rasa became an Assistant Professor in 2010 at the University of Nottingham where she co-developed a new MSc Programme in Risk and Reliability methods by Distance Learning aimed at industry professionals. She was promoted to the Associate Professor in 2019.

Rasa is a member of the Resilience Engineering research group. Look here for testimonies of our PhD graduates Alumni PhD Students - The University of Nottingham.

We are looking for PhD candidates in the following areas:

https://jobs.nottingham.ac.uk/ENG1609

https://jobs.nottingham.ac.uk/ENG1622 Recently awarded DONALD JULIUS GROEN PRIZE for the paper

Vagnoli, M., Remenyte-Prescott, R., Andrews, J.D. A Bayesian Belief Network method for bridge deterioration detection, Proc IMechE, Part O: J Risk and Reliability 2021; 235(3): 338-355, https://doi.org/10.1177%2F1748006X20979225

Teaching Summary

I teach in the Civil Engineering Department: CIVE3025 - a Level 3 module in Engineering Risk Assessment; CIVE4019 - a Level 4 module in Infrastructure Asset Management; CIVE3015 - a BEng Project… read more

Research Summary

Rasa's current research interests involve developing novel reliability modelling techniques for healthcare safety and efficiency evaluation. Additional areas of interest involve risk and reliability… read more

Selected Publications

• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M., 2022. Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M. J., 2019. Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach: Reliability Engineering and System Safety Reliability Engineering and System Safety. 182, 258-268
• REED, S., REMENYTE-PRESCOTT, R. and REES, B., 2017. Effect of venepuncture process design on efficiency and failure rates: A simulation model study for secondary care: International Journal of Nursing Studies International Journal of Nursing Studies. 68, 73-82
• VAGNOLI, M. and REMENYTE-PRESCOTT, R., 2022. Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data: Automation in Construction Automation in Construction. 140,

• View all publications

I teach in the Civil Engineering Department: CIVE3025 - a Level 3 module in Engineering Risk Assessment; CIVE4019 - a Level 4 module in Infrastructure Asset Management; CIVE3015 - a BEng Project module; CIVE4021 - an MEng Group Design Project module

Current Research

Rasa's current research interests involve developing novel reliability modelling techniques for healthcare safety and efficiency evaluation. Additional areas of interest involve risk and reliability assessment methods, asset management approaches and fault diagnostics techniques in a range of industrial sectors, including railways, aerospace, highways and energy sector. We are currently looking for prospective students and researchers in these areas.

• WU, W., CANTERO-CHINCHILLA, S., YAN, W. J., CHIACHIO RUANO, M., REMENYTE-PRESCOTT, R. and CHRONOPOULOS, D., 2023. Damage Quantification and Identification in Structural Joints through Ultrasonic Guided Wave-Based Features and an Inverse Bayesian Scheme: Sensors Sensors. 23(8),
• TAN, A., REMENYTE-PRESCOTT, R., VALSTAR, M. and SHARKEY, D., 2023. A modelling approach to studying variations in newborn life support procedure: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
• REMENYTE-PRESCOTT, R., DO, P. and ANDREWS, J., 2023. Advanced Maintenance Modelling for Industrial Systems: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 237(3), 523
• VAGNOLI, M. and REMENYTE-PRESCOTT, R., 2022. Updating conditional probabilities of Bayesian belief networks by merging expert knowledge and system monitoring data: Automation in Construction Automation in Construction. 140,
• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M., 2022. Ant colony optimisation of a community pharmacy dispensing process using Coloured Petri-Net simulation and UK pharmacy in-field data: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M., 2020. Ant colony optimisation for community pharmacy dispensing process based on infield observations
• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M., 2020. Modelling reliability and efficiency of english community pharmacy processes
• VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2020. A Bayesian Belief Network method for bridge deterioration detection: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
• YANG, C., ZHANG, X. Y. and REMENYTE-PRESCOTT, R., 2020. Application of network-level traffic flow model to road maintenance in China: Infrastructure Asset Management Infrastructure Asset Management. 7(4), 297-306
• NAYBOUR, M., REMENYTE-PRESCOTT, R. and BOYD, M. J., 2019. Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach: Reliability Engineering and System Safety Reliability Engineering and System Safety. 182, 258-268
• VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach
• VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2019. Structural health monitoring of bridges: A bayesian network approach
• KILSBY, P., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2018. A Petri Net-based life cycle cost analysis approach: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit.
• KILSBY, P., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2018. A Petri Net-based life cycle cost analysis approach: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit.
• CHENG, Z. and REMENYTE-PRESCOTT, R., 2018. Two probabilistic life-cycle maintenance models for the deteriorating pavement: Eksploatacja i Niezawodnosc Eksploatacja i Niezawodnosc. 20(3), 394-404
• CHENG, Z. and REMENYTE-PRESCOTT, R., 2018. Two probabilistic life-cycle maintenance models for the deteriorating pavement: Eksploatacja i Niezawodnosc Eksploatacja i Niezawodnosc. 20(3), 394-404
• VAGNOLI, M. and REMENYTE-PRESCOTT, R., 2018. An ensemble-based change-point detection method for identifying unexpected behaviour of railway tunnel infrastructures: Tunnelling and Underground Space Technology Tunnelling and Underground Space Technology. 81, 68-82
• REEVES, J., REMENYTE-PRESCOTT, R., ANDREWS, J. and THORLEY, P., 2018. A sensor selection method using a performance metric for phased missions of aircraft fuel systems: Reliability Engineering and System Safety Reliability Engineering and System Safety. 180, 416-424
• REEVES, J., REMENYTE-PRESCOTT, R., ANDREWS, J. and THORLEY, P., 2018. A sensor selection method using a performance metric for phased missions of aircraft fuel systems: Reliability Engineering and System Safety Reliability Engineering and System Safety. 180, 416-424
• REEVES, J., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2018. Sensor selection for fault diagnostics using performance metric: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.
• REED, S., REMENYTE-PRESCOTT, R. and REES, B., 2017. Effect of venepuncture process design on efficiency and failure rates: A simulation model study for secondary care: International Journal of Nursing Studies International Journal of Nursing Studies. 68, 73-82
• KILSBY, P., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2017. A modelling approach for railway overhead line equipment asset management: Reliability Engineering and System Safety Reliability Engineering and System Safety.
• VILEINISKIS, M., REMENYTE-PRESCOTT, R., RAMA, D. and ANDREWS, J. D., 2017. Bayesian belief networks for fault detection and diagnostics of a three-phase separator
• VILEINISKIS, M. and REMENYTE-PRESCOTT, R., 2017. Extended bow-tie model for asset risk and reliability modelling. Application to a passenger lift
• VILEINISKIS, M. and REMENYTE-PRESCOTT, R., 2017. Quantitative risk prognostics framework based on Petri Net and Bow-Tie models: Reliability Engineering and System Safety Reliability Engineering and System Safety. 165, 62-73
• M. VAGNOLI, R. REMENYTE-PRESCOTT and J. ANDREWS, 2017. Railway bridge fault detection using Bayesian belief network In: Proceedings of the IMechE Stephenson Conference: Research for Railways, London, 25th - 27th April 2017.
• VAGNOLI, M., REMENYTE-PRESCOTT, R., THOMPSON, D., ANDREWS, J., CLARKE, P. and ATKINSON, N., 2017. A data mining tool for detecting and predicting abnormal behavior of railway tunnels
• VAGNOLI, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2017. Railway bridge structural health monitoring and fault detection: State-of-the-art methods and future challenges: Structural Health Monitoring Structural Health Monitoring.
• GONZÁLEZ, A., HUSEYNOV, F., HEITNER, B., VAGNOLI, M., MOUGHTY, J. J., BARRIAS, A., MARTINEZ, D., CHEN, S., O'BRIEN, E., LAEFER, D., CASAS, J. R., REMENYTE-PRESCOTT, R., YALAMAS, T. and BROWNJOHN, J., 2017. Structural health monitoring developments in TRUSS Marie Skłodowska-curie innovative training network
• VILEINISKIS, M., REMENYTE-PRESCOTT, R. and RAMA, D., 2016. Fault Detection of Railway Point Systems Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 230(3), 852-865
• VILEINISKIS, MARIUS, REMENYTE-PRESCOTT, RASA and RAMA, DOVILE, 2016. A fault detection method for railway point systems PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT. 230(3), 852-865
• VILEINISKIS, MARIUS, REMENYTE-PRESCOTT, RASA, RAMA, DOVILE and ANDREWS, JOHN, 2016. Fault detection and diagnostics of a three-phase separator: Journal of Loss Prevention in the Process Industries Journal of Loss Prevention in the Process Industries. 41, 215-230
• PAUL KILSBY, RASA REMENYTE-PRESCOTT and JOHN ANDREWS, 2016. Modelling asset management of railway overhead line equipment In: 9th IMA International Conference on Modelling in Industrial Maintenance and Reliability.
• VILEINISKIS, M., REMENYTE-PRESCOTT,R., RAMA, D. and ANDREWS, J., 2016. Bayesian belief networks for fault detection and diagnostics of a three-phase separator In: Proceedings of the European Safety and Reliability Conference 2016 (ESREL 2016).
• VILEINISKIS M and REMENYTE-PRESCOTT R, 2016. Extended Bow-Tie model for asset risk and reliability modeling: application to a passenger lift In: ESREL 2016, 25-29 Sept 2016, Glasgow, UK.
• SEAN REED, RASA REMENYTE-PRESCOTT and BEN REES, 2015. Reliability Assessment Techniques for Medical Procedures In: Proceedings of the 21st Advances in Risk and Reliability Technology Symposium.
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2015. Road Maintenance Planning using Network Flow Modelling IMA Journal of Management Mathematics 2015.
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2015. Application of Network Traffic Flow Model for Road Maintenance Proceedings of the ICE - Transport. 168(3), 256-266
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2015. Scheduling Pavement Maintenance using Genetic Algorithms International Journal of Performability Engineering, Special Issue for Transport System Safety, Risk and Asset Management. 11(2), 135-152
• REMENYTE-PRESCOTT, R., ANDREWS, J. D. and JACKSON, L., 2015. Guest editorial: International Journal of Performability Engineering International Journal of Performability Engineering. 11(2), 105-106
• FECAROTTI, C., ANDREWS, J. and REMENYTE-PRESCOTT, R., 2015. Towards a Fault Tolerant Railway International Journal of COMADEM. 18(1), 15-26
• FECAROTTI, C., ANDREWS, J. and REMENYTE-PRESCOTT, R., 2015. Modelling railway service reliability in the event of failures
• LLOYD, M. D., ANDREWS, J. D., REMENYTE-PRESCOTT, R., PEARSON, J. T. and HUBBARD, P., 2014. A petri net approach to fault verification in phased mission systems using the standard deviation technique: Quality and Reliability Engineering International Quality and Reliability Engineering International. 30(1), 83-95
• YANG, CHAO, REMENYTE-PRESCOTT, RASA and ANDREWS, JOHN, 2014. A network traffic flow model for motorway and urban highways JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY. 65(8), 1278-1291
• FECAROTTI, C., ANDREWS, J. D. and REMENYTE-PRESCOTT, R., 2014. Modeling a fault tolerant railway system SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON. 2981-2988
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2014. Road network modelling for maintenance planning SAFETY, RELIABILITY AND RISK ANALYSIS: BEYOND THE HORIZON. 881-888
• FECAROTTI, C., ANDREWS, J. and REMENYTE-PRESCOTT, R., 2014. Analysis of the Design, Operation and Maintenance Options to Provide a Fault Tolerant Railway System In: Proceedings of the Transport research Areana (TRA) Conference, 2014.
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2014. Road Maintenance Planning using Network Flow Modelling In: Proceeedings of the 8th IMA International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR), 2014.
• REMENYTE-PRESCOTT, R. and REED, S., 2014. Modelling Medical Procedures using Engineering Reliability Analysis Techniques In: ASPiH (Association for Simulated Practice in Healthcare) Annual Conference 2014, Nottingham. Published in BMJ Simulation and Technology Enhanced Learning, 1 (Suppl 1).. A12
• YANG, C., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2013. Road Network Flow Modelling for Maintenance In: Proceedings of the 20th Advances in Reliability and Risk Technology Symposium, 2013.
• FECAROTTI, C., ANDREWS, J. and REMENYTE-PRESCOTT, R., 2013. Modelling Railway Service Reliability In: Proceedings of the 20th Advances in Reliability and Risk Technology Symposium, 2013. 259-273
• VILEINISKIS, M., REMENYTE-PRESCOTT, R. and ANDREWS, J., 2013. Fault Diagnostics for Railway Points Machines In: Proceedings of the 20th Advances in Reliability and Risk Technology Symposium, 2013.
• LLOYD, M., ANDREWS, J., REMENYTE-PRESCOTT, R., PEARSON, J.T. and HUBBARD, P., 2012. A Petri Net Approach to Fault Verification in Phased Mission Systems Using the Standard Deviation Technique In: Proceedings of PSAM11 & ESREL2012.
• RASA REMENYTE-PRESCOTT and JOHN ANDREWS, 2011. Fault Propagation Modelling for Fluid System Health Monitoring International Journal of Performability Engineering. 7(2), 137-154
• REMENYTE-PRESCOTT, R., ANDREWS, J.D. and CHUNG, P.W.H., 2010. An efficient phased mission reliability analysis for autonomous vehicles Reliability Engineering and System Safety. 95(3), 226-235
• DARREN PRESCOTT, RASA REMENYTE-PRESCOTT, SEAN REED, JOHN ANDREWS and CLIVE DOWNES, 2009. A Reliability Analysis Method using BDDs in Phased Mission Planning Proceedings of the IMechE, Part O, Journal of Risk and Reliability. 223(2), 133-143
• RASA REMENYTE-PRESCOTT and JOHN ANDREWS, 2009. An Efficient Real-time Method of Analysis for Non-coherent Fault Trees Quality and Reliability Engineering International. 25(2), 129-150
• REMENYTE-PRESCOTT, R. and ANDREWS, J.D., 2008. An enhanced component connection method for conversion of fault trees to binary decision diagrams Reliability Engineering & System Safety. 93(10), 1543-1550
• REMENYTE-PRESCOTT, R. and ANDREWS, J., 2008. Analysis of non-coherent fault trees using ternary decision diagrams Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 222(2), 127-138
• RASA REMENYTE-PRESCOTT and JOHN ANDREWS, 2007. Prime Implicants for Modularised Non-coherent Fault Trees International Journal of Reliability and Safety. 1(4), 446-464
• JOHN ANDREWS and RASA REMENYTE, 2006. Qualitative Analysis of Complex, Modularised Fault Trees Using Binary Decision Diagrams Proceedings of the IMechE, Part O, Journal of Risk and Reliability. 220(1), 45-53
• VILEINISKIS MARIUS and RASA REMENYTE-PRESCOTT, Extended Bow-Tie model for asset risk and reliability modelling. Application to a passenger lift In: ESREL 2016, 25-29 Sept 2016, Glasgow, UK.
• VAGNOLI, M. and REMENYTE-PRESCOTT, R., An automatic bridge damage diagnostics method using empirical mode decomposition based health indicators and neuro-fuzzy classification: Structural Control & Health Monitoring Structural Control & Health Monitoring.