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Centre for Digital Built Britain

 

Biography

Ajith Kumar Parlikad is a University Senior Lecturer at Cambridge University Engineering Department. He is based at the Institute for Manufacturing, where he is the Head of the Asset Management research group. He is the MET IIB course director and a Fellow and Tutor at Hughes Hall.

Ajith leads research activities on engineering asset management and maintenance. His particular focus is examining how asset information can be used to improve asset performance through effective decision-making. He actively engages with industry through research and consulting projects. He is also a member of the steering committee of the IFAC Working Group on "Advanced Maintenance Engineering, Services and Technology". 

Ajith joined Cambridge University to read for his PhD degree, which he successfully completed in August 2006. For his PhD, he developed a methodology for quantifying the benefits of improving product information availability and quality on the effectiveness of product recovery processes. 

Research

Publications

Key publications: 

Zomer T., Neely A., Sacks R., Parlikad A. (2021) A Practice-Based Conceptual Model on Building Information Modelling (BIM) Benefits Realisation. In: Toledo Santos E., Scheer S. (eds) Proceedings of the 18th International Conference on Computing in Civil and Building Engineering. ICCCBE 2020. Lecture Notes in Civil Engineering, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-51295-8_29

Moving from building information models to digital twins for operation and maintenance (Lu, Q., Xie, X., Parlikad, A.K., Schooling, J.M. and Konstantinou, E., 2020.)

Qiuchen Lu; Ajith Kumar Parlikad; Philip Woodall; Gishan Don Ranasinghe; Xiang Xie; Zhenglin Liang; Eirini Konstantinou; James Heaton; and Jennifer Schooling; 'Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus', Journal of Management in Engineering, Volume 36 Issue 3 - May 2020

Xie, X., Parlikad, A.K. and Puri, R.S., 2019, October. A Neural Ordinary Differential Equations Based Approach for Demand Forecasting within Power Grid Digital Twins. In 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (pp. 1-6). IEEE. https://doi.org/10.1109/SmartGridComm.2019.8909789

James Heatona, Ajith Kumar Parlikad, Jennifer Schooling, (2019), A Building Information Modelling approach to the alignment of organisational objectives to Asset Information Requirements. Automation in Construction, Volume 104, August 2019, Pages 14-26

James Heaton and Ajith Parlikad; 'A Conceptual Framework for the Alignment of Infrastructure Assets to Citizen Requirements Within a Smart Cities Framework', Cities, Volume 90, July 2019, Pages 32-41 

Final Report - Exploiting traffic data to improve asset management and citizen quality of life

Lu, Q., Xie, X., Parlikad, A.K. and Schooling, J.M., 2020. Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance. Automation in Construction, 118, p.103277. https://doi.org/10.1016/j.autcon.2020.103277

Xie, X., Lu, Q., Rodenas-Herraiz, D., Parlikad, A., & Schooling, J. (2020). Visualised inspection system for monitoring environmental anomalies during daily operation and maintenanceEngineering, Construction and Architectural Management https://doi.org/10.1108/ECAM-11-2019-0640

Senior Lecturer in Industrial Systems
Dr Ajith  Parlikad

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