Introduction

Ajith Kumar Parlikad is Professor of Asset Management at Cambridge University Engineering Department. He is based at the Institute for Manufacturing, where he is the Deputy Head of Division (Teaching) and the Head of the Asset Management research group. He is 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 currently the Scientific Secretary of the IFAC TC5.1 Working Group on "Advanced Maintenance Engineering, Services and Technology". Ajith's current research focusses on the development and exploitation of digital twins of complex asset systems bringing together data from disparate sources to improve asset management. 

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. 

Current funded projects

• Digital hospital operations - funded by Cambridge University Hospitals NHS Foundation Trust
• Resilient Communication Networks - funded by Boeing
• Critical Care Digital Twin: Pathway towards Affordable Healthcare - funded by the Royal Academy of Engineering
• National Hub for Decarbonised Adaptable and Resilient Transport Infrastructures (DARe) - funded by UKRI
• Digital Twins for Indoor Air Quality (TwinAIR) - funded by UKRI and Horizon Europe
• Digital Twin based Building Automation Systems (TwinBAS) - funded by UKRI and Horizon Europe
• Centre for Smart Infrastructure and Construction - funded by EPSRC and Innovate UK

Past funded projects

• Driving port efficiency through 5G-enabled connectivity - funded by DCMS
• West Cambridge Digital Twin Research Facility - funded by the Centre for Digital Built Britain
• Next Generation Converged Digital Infrastructure - funded by EPSRC and BT
• GIS-Based Infrastructure Management System for Optimised Response to Extreme Events on Terrestrial Transport Networks - funded by EU H2020
• Construction Innovation Hub (Co-I) - funded by the Industrial Strategy Challenge Fund
• Centre for Digital Built Britain (Co-I) - funded by the HM Department of Business, Energy and Industrial Strategy
• Digital Cities for Change (Co-I) - funded by the Ove Arup Foundation
• Digital Manufacturing on a Shoestring (Co-I) - funded by EPSRC and the Royal Academy of Engineering
• Digitally Optimised Through-Life Engineering Services (Co-I) - funded by Innovate UK

Courses taught

MET IIA

• 3P5: Industrial Engineering (2016- )
• 3P2: Production Machines and Systems (2007-17)
• 3P7: Managing Business and People (2011-16)
• 3P4: Operations Management (2007-11, 2016) 

MET IIB (Course Director, 2016-19)

• Advanced Operations Management (2017- )
• Industrial Systems Operations and Services (2012-16) 
• Managing People (2011-14)
• Asset Management (2010-11)

Current PhD students

• Longyan Tan (2024- ): AI in asset management
• Sungin Cho (2024- ): Infrastructure Asset Management
• Hanu Indiran (2022- ): Fault Diagnosis 
• Momoko Nakaoka (2022- ): Healthcare Facilities Management
• Luning Li (2022- ): Wireless sensor energy management

Past PhD students

• Janet Chang (2020-24): The effects of handover information quality on commercial building asset management
• Adolfo Crespo del Castillo (2020-24): Dynamic fleet maintenance management
• Maharshi Dhada (2018-22): Statistical Heirarchical Modelling for Industrial Collaborative Prognosis
• Gishan Don Ranasinghe (2017-21): Prognostics under the conditions of limited failure data availability
• Sam Petchrompo (2017-21): A pragmatic approach to multi-objective optimisation for portfolio asset management
• James Heaton (2016-21): Development of Asset Information requirements for asset management
• Adria Salvador (2016-20): Distributed collaborative prognosis
• Hao Li (2015-19): Integrated workload allocation and condition-based maintenance threshold optimisation
• Joel Adams (2015-19): Dynamic criticality analysis of industrial Assets and systems 
• Jiaqiang Wang (2012-16): Performance measurement for asset management systems
• Zhenglin Liang (2011-15): Condition-based maintenance optimisation of systems with fault propagation
• Nipat Rasmekomen (2010-14): Condition-based maintenance of systems with degradation interactions
• Alexander Borek (2009-12): Risk-based approach for measuring the impact of data quality
• Raj Srinivasan (2008-11): Value of Information for maintenance decisions

Publications

Click here for the list of my publications on Google Scholar.