Developing A Model For Quantifying The Quality And Value Of Tracking Information On Supply Chain Decisions. - Thomas Kelepouris; Duncan C. McFarlane; Ajith Kumar Parlikad (ICIQ, 2007)

Asset information management: research challenges. - Mohamed-Zied Ouertani; Ajith Kumar Parlikad; Duncan C. McFarlane (RCIS, 2008)

Towards an approach to Select an Asset Information Management Strategy. - Mohamed-Zied Ouertani; Ajith Kumar Parlikad; Duncan C. McFarlane (Int. J. Comput. Sci. Appl., 2008)

A Condition Monitoring Platform Using COTS Wireless Sensor Networks: Lessons and Experience. - Ranjan Panda; Damith Chinthana Ranasinghe; Ajith Kumar Parlikad; Duncan C. McFarlane (AINA, 2010)

A hybrid approach to assessing data quality. - Philip Woodall; Ajith Kumar Parlikad (ICIQ, 2010)

Quantifying the impact of AIDC technologies for vehicle component recovery. - Ajith Kumar Parlikad; Duncan C. McFarlane (Comput. Ind. Eng., 2010)

IS/IT Resources and Business Value: Operationalization of an Information Oriented Framework. - Alexander Borek; Markus Helfert; Mouzhi Ge; Ajith Kumar Parlikad (ICEIS, 2011)

An Information Oriented Framework for Relating IS/IT Resources and Business Value. - Alexander Borek; Ajith Kumar Parlikad; Markus Helfert; Mouzhi Ge (ICEIS (4), 2011)

A process for total information risk management (TIRM) in asset intensive organizations. - Alexander Borek; Ajith Kumar Parlikad (ICIQ, 2011)

Towards a process for total information risk management. - Alexander Borek; Ajith Kumar Parlikad; Philip Woodall (ICIQ, 2011)

A classification of data quality assessment methods. - Alexander Borek; Philip Woodall; Martin A. Oberhofer; Ajith Kumar Parlikad (ICIQ, 2011)

Exploring the "Crowd" as enabler of better information quality. - Pascal Wichmann; Alexander Borek; Robert Kern; Philip Woodall; Ajith Kumar Parlikad; Gerhard Satzger (ICIQ, 2011)

Quantifiying the Business Impact of Information Quality - a Risk-Based Approach. - Valeria Klassen; Alexander Borek; Ajith Kumar Parlikad; Robert Kern (ECIS, 2012)

Customized Data Quality Improvement. - Philip Woodall; Alexander Borek; Ajith Kumar Parlikad (ICIQ, 2012)

An Investigation into Data Quality Root Cause Analysis. - Philip Woodall; Andy Koronios; Jing Gao 001; Ajith Kumar Parlikad; Elaine George (ICIQ, 2012)

Data profiling challenges in engineering asset management data - Conceptual design for next generation data profiling software. - Jing Gao 001; Philip Woodall; Andy Koronios; Ajith Kumar Parlikad (ICIQ, 2013)

Value of condition monitoring in infrastructure maintenance. - Rengarajan Srinivasan; Ajith Kumar Parlikad (Comput. Ind. Eng., 2013)

Data quality assessment: The Hybrid Approach. - Philip Woodall; Alexander Borek; Ajith Kumar Parlikad (Inf. Manag., 2013)

Maintenance Optimization for Asset Systems With Dependent Performance Degradation. - Nipat Rasmekomen; Ajith Kumar Parlikad (IEEE Trans. Reliab., 2013)

A Framework for Distributed Intelligent Automation Systems Developments. - Duncan C. McFarlane; Ajith Kumar Parlikad; Andy Neely; Alan Thorne (Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, 2013)

A risk based model for quantifying the impact of information quality. - Alexander Borek; Ajith Kumar Parlikad; Philip Woodall; Maurizio Tomasella (Comput. Ind., 2014)

Semi-Markov Decision Process With Partial Information for Maintenance Decisions. - Rengarajan Srinivasan; Ajith Kumar Parlikad (IEEE Trans. Reliab., 2014)

A Condition-Based Maintenance Model for Assets With Accelerated Deterioration Due to Fault Propagation. - Zhenglin Liang; Ajith Kumar Parlikad (IEEE Trans. Reliab., 2015)

Evaluation criteria for information quality research. - Philip Woodall; Alexander Borek; Ajith Kumar Parlikad (Int. J. Inf. Qual., 2016)

Condition-based maintenance of multi-component systems with degradation state-rate interactions. - Nipat Rasmekomen; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2016)

On fault propagation in deterioration of multi-component systems. - Zhenglin Liang; Ajith Kumar Parlikad; Rengarajan Srinivasan; Nipat Rasmekomen (Reliab. Eng. Syst. Saf., 2017)

Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model. - Bin Liu 025; Zhenglin Liang; Ajith Kumar Parlikad; Min Xie 001; Way Kuo (Reliab. Eng. Syst. Saf., 2017)

Recurrent Neural Networks for real-time distributed collaborative prognostics. - Adrià Salvador Palau; Kshitij Bakliwal; Maharshi Harshadbhai Dhada; Tim Pearce; Ajith Kumar Parlikad (ICPHM, 2018)

Generating Real-valued Failure Data for Prognostics Under the Conditions of Limited Data Availability. - Gishan Don Ranasinghe; Ajith Kumar Parlikad (ICPHM, 2019)

A Neural Ordinary Differential Equations Based Approach for Demand Forecasting within Power Grid Digital Twins. - Xiang Xie; Ajith Kumar Parlikad; Ramprakash Srinivasan Puri (SmartGridComm, 2019)

From BIM Towards Digital Twin: Strategy and Future Development for Smart Asset Management. - Qiuchen Lu; Xiang Xie; James Heaton; Ajith Kumar Parlikad; Jennifer Schooling (SOHOMA, 2019)

Digital Manufacturing on a Shoestring: Low Cost Digital Solutions for SMEs. - Duncan C. McFarlane; Svetan M. Ratchev; Alan Thorne; Ajith Kumar Parlikad; Lavindra de Silva; Benjamin Schönfuß; Gregory Hawkridge; Germán Terrazas; Yedige Tlegenov (SOHOMA, 2019)

A Methodology for Prognostics Under the Conditions of Limited Failure Data Availability. - Gishan Don Ranasinghe; Tony Lindgren; Mark Girolami; Ajith Kumar Parlikad (IEEE Access, 2019)

Design and development of BIM models to support operations and maintenance. - James Heaton; Ajith Kumar Parlikad; Jennifer Schooling (Comput. Ind., 2019)

An Industrial Multi Agent System for real-time distributed collaborative prognostics. - Adrià Salvador Palau; Maharshi Harshadbhai Dhada; Kshitij Bakliwal; Ajith Kumar Parlikad (Eng. Appl. Artif. Intell., 2019)

Collaborative prognostics in Social Asset Networks. - Adrià Salvador Palau; Zhenglin Liang; Daniel Lütgehetmann; Ajith Kumar Parlikad (Future Gener. Comput. Syst., 2019)

Multi-agent system architectures for collaborative prognostics. - Adrià Salvador Palau; Maharshi Harshadbhai Dhada; Ajith Kumar Parlikad (J. Intell. Manuf., 2019)

A review of asset management literature on multi-asset systems. - Sanyapong Petchrompo; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2019)

Impact of Data Quality in Real-Time Big Data Systems. - Jorge Merino; Xiang Xie; Ajith Kumar Parlikad; Ian Lewis; Duncan C. McFarlane (ER Forum/Posters/Demos, 2020)

Distributed Dynamic Measures of Criticality for Telecommunication Networks. - Yaniv Proselkov; Manuel Herrera; Ajith Kumar Parlikad; Alexandra Brintrup (SOHOMA, 2020)

Predictive group maintenance for multi-system multi-component networks. - Zhenglin Liang; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2020)

A value-based approach to optimizing long-term maintenance plans for a multi-asset k-out-of-N system. - Sanyapong Petchrompo; Hao Li; Asier Erguido; Chris Riches; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2020)

Imperfect Preventive Maintenance Policies With Unpunctual Execution. - Xiaolin Wang 005; Hang Zhou; Ajith Kumar Parlikad; Min Xie 001 (IEEE Trans. Reliab., 2020)

Comparison of Agent Deployment Strategies for Collaborative Prognosis. - Maharshi Harshadbhai Dhada; Marco Pérez-Hernández; Adrià Salvador Palau; Ajith Kumar Parlikad (ICPHM, 2021)

Network Maintenance Planning Via Multi-Agent Reinforcement Learning. - Jonathan D. Thomas; Marco Pérez-Hernández; Ajith Kumar Parlikad; Robert J. Piechocki (SMC, 2021)

Mining Graph-Fourier Transform Time Series for Anomaly Detection of Internet Traffic at Core and Metro Networks. - Manuel Herrera; Yaniv Proselkov; Marco Pérez-Hernández; Ajith Kumar Parlikad (IEEE Access, 2021)

Relaxing Platform Dependencies in Agent-Based Control Systems. - Marco Pérez-Hernández; Duncan C. McFarlane; Ajith Kumar Parlikad; Manuel Herrera; Amit Kumar Jain (IEEE Access, 2021)

Monitoring on a shoestring: Low cost solutions for digital manufacturing. - Gregory Hawkridge; Anandarup Mukherjee; Duncan C. McFarlane; Yedige Tlegenov; Ajith Kumar Parlikad; Nicholas J. Reyner; Alan Thorne (Annu. Rev. Control., 2021)

A review of Pareto pruning methods for multi-objective optimization. - Sanyapong Petchrompo; David W. Coit; Alexandra Brintrup; Anupong Wannakrairot; Ajith Kumar Parlikad (Comput. Ind. Eng., 2022)

Knowledge Transfer in Engineering Fleets: Hierarchical Bayesian Modelling for Multi-Task Learning. - Lawrence A. Bull; Maharshi Harshadbhai Dhada; Olof Steinert; Tony Lindgren; Ajith Kumar Parlikad; Andrew B. Duncan; Mark Girolami (CoRR, 2022)

Trolley optimisation: An extension of bin packing to load PCB components. - Vinod Kumar Chauhan; Mark Bass; Ajith Kumar Parlikad; Alexandra Brintrup (CoRR, 2022)

Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. - Vinod Kumar Chauhan; Muhannad Alomari; James Arney; Ajith Kumar Parlikad; Alexandra Brintrup (CoRR, 2022)

Pruning Pareto optimal solutions for multi-objective portfolio asset management. - Sanyapong Petchrompo; Anupong Wannakrairot; Ajith Kumar Parlikad (Eur. J. Oper. Res., 2022)

AI for next generation computing: Emerging trends and future directions. - Sukhpal Singh Gill; Minxian Xu; Carlo Ottaviani; Panos Patros; Rami Bahsoon; Arash Shaghaghi; Muhammed Golec; Vlado Stankovski; Huaming Wu; Ajith Abraham; Manmeet Singh; Harshit Mehta; et al. (Internet Things, 2022)

Industry-Academia Research toward Future Network Intelligence: The NG-CDI Prosperity Partnership. - Nicholas J. P. Race; Idris A. Eckley; Ajith Kumar Parlikad; Charalampos Rotsos; Ning Wang 001; Robert J. Piechocki; Philip Stiles; Arjun Parekh; Trevor Burbridge; Peter Willis 001; Stephen A. Cassidy (IEEE Netw., 2022)

A hybrid-learning decomposition algorithm for competing risk identification within fleets of complex engineering systems. - Hang Zhou; Thiago Augusto Lopes Genez; Alexandra Brintrup; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2022)

Asset Management Framework and Tools for Facing Challenges in the Adoption of Product-Service Systems. - Asier Erguido; Adolfo Crespo Márquez; Eduardo Castellano; Ajith Kumar Parlikad; Juan Izquierdo (IEEE Trans. Engineering Management, 2022)

A Simulation Model and Dashboard for Predicting Covid-19 Bed Requirements. - Yin-Chi Chan; Kaya Dreesbeimdiek; Ajith Kumar Parlikad; Tom Ridgman; Nicholas J. Matheson; Ben Warne; Denise Franks (WSC, 2023)

Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning. - Lawrence A. Bull; Domenic Di Francesco; Maharshi Harshadbhai Dhada; Olof Steinert; Tony Lindgren; Ajith Kumar Parlikad; Andrew B. Duncan; Mark Girolami (Comput. Aided Civ. Infrastructure Eng., 2023)

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots. - Sukhpal Singh Gill; Minxian Xu; Panos Patros; Huaming Wu; Rupinder Kaur; Kamalpreet Kaur; Stephanie Fuller; Manmeet Singh; Priyansh Arora; Ajith Kumar Parlikad; Vlado Stankovski; Ajith Abraham; et al. (CoRR, 2023)

HealthFaaS: AI-Based Smart Healthcare System for Heart Patients Using Serverless Computing. - Muhammed Golec; Sukhpal Singh Gill; Ajith Kumar Parlikad; Steve Uhlig (IEEE Internet Things J., 2023)

Ubiquitous Domain Adaptation at the Edge for Vibration-Based Machine Status Monitoring. - Anandarup Mukherjee; Ajith Kumar Parlikad; Duncan C. McFarlane (IEEE Internet Things J., 2023)

Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour. - Hang Zhou; Maryam Farsi; Andrew Harrison; Ajith Kumar Parlikad; Alexandra Brintrup (Reliab. Eng. Syst. Saf., 2023)

Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. - Vinod Kumar Chauhan; Stephen Mak; Ajith Kumar Parlikad; Muhannad Alomari; Linus Casassa; Alexandra Brintrup (Comput. Ind. Eng., 2023)

IoT and Fog-Computing-Based Predictive Maintenance Model for Effective Asset Management in Industry 4.0 Using Machine Learning. - Yyi Kai Teoh; Sukhpal Singh Gill; Ajith Kumar Parlikad (IEEE Internet Things J., 2023)

Weibull recurrent neural networks for failure prognosis using histogram data. - Maharshi Harshadbhai Dhada; Ajith Kumar Parlikad; Olof Steinert; Tony Lindgren (Neural Comput. Appl., 2023)

Performance assessment of a communication infrastructure with redundant topology: A complex network approach. - Manuel Herrera; Manu Sasidharan; Stephen A. Cassidy; Ajith Kumar Parlikad (Comput. Networks, 2023)

Federated Data Modeling for Built Environment Digital Twins. - Nicola Moretti; Xiang Xie; Jorge Merino Garcia; Janet Chang; Ajith Kumar Parlikad (J. Comput. Civ. Eng., 2023)

Dynamic fleet maintenance management model applied to rolling stock. - Adolfo Crespo del Castillo; José Antonio Marcos; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2023)

A Process Simulation Model for a Histopathology Laboratory. - Yin-Chi Chan; Anandarup Mukherjee; Nicola Moretti; Momoko Nakaoka; Jorge Merino; Zahrah Rosun; Colin Carr; Duncan C. McFarlane; Ajith Kumar Parlikad (WSC, 2024)

Unsupervised constrained discord detection in IoT-based online crane monitoring. - Anandarup Mukherjee; Manu Sasidharan; Manuel Herrera; Ajith Kumar Parlikad (Adv. Eng. Informatics, 2024)

A two-step post-optimality approach for a multi-objective railway maintenance planning problem. - Sanyapong Petchrompo; Sunny Modhara; Andy Kirwan; Ajith Kumar Parlikad; Naruemon Wattanapongsakorn (Comput. Ind. Eng., 2024)

Modern Computing: Vision and Challenges. - Sukhpal Singh Gill; Huaming Wu; Panos Patros; Carlo Ottaviani; Priyansh Arora; Victor Casamayor-Pujol; David Haunschild; Ajith Kumar Parlikad; Oktay Cetinkaya; Hanan Lutfiyya; Vlado Stankovski; Ruidong Li 001; et al. (CoRR, 2024)

Strategic assessment of bridge susceptibility to scour. - Moustafa Naiem Abdel-Mooty; Manu Sasidharan; Manuel Herrera; Ajith Kumar Parlikad; Jennifer Schooling; Wael El-Dakhakhni; Paulin Coulibaly (Reliab. Eng. Syst. Saf., 2024)

Dynamic fleet management: Integrating predictive and preventive maintenance with operation workload balance to minimise cost. - Adolfo Crespo del Castillo; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2024)

ATOM: AI-Powered Sustainable Resource Management for Serverless Edge Computing Environments. - Muhammed Golec; Sukhpal Singh Gill; Félix Cuadrado; Ajith Kumar Parlikad; Minxian Xu; Huaming Wu; Steve Uhlig (IEEE Trans. Sustain. Comput., 2024)

Multi-Agent Learning of Asset Maintenance Plans through Localised Subnetworks. - Marco Pérez-Hernández; Alena Puchkova; Ajith Kumar Parlikad (Eng. Appl. Artif. Intell., 2024)

Trolley Optimisation for Loading Printed Circuit Board Components. - Vinod Kumar Chauhan; Mark Bass; Ajith Kumar Parlikad; Alexandra Brintrup (Oper. Res. Forum, 2024)

Special issue on: "Emerging industrial Digitalisation and machine learning applications in maintenance engineering, asset, and operations management". - Christos Emmanouilidis; Ajith Kumar Parlikad; Giacomo Barbieri; David Romero 001 (Eng. Appl. Artif. Intell., 2025)

Predictive alarm models for improving radio access network robustness. - Luning Li; Manuel Herrera; Anandarup Mukherjee; Ge Zheng; Chen Chen 073; Maharshi Harshadbhai Dhada; Henry Brice; Arjun Parekh; Ajith Kumar Parlikad (Expert Syst. Appl., 2025)

Collaborative prognosis using a Weibull statistical hierarchical model. - Maharshi Harshadbhai Dhada; Lawrence A. Bull; Mark Girolami; Ajith Kumar Parlikad (Reliab. Eng. Syst. Saf., 2025)

CAPTAIN: A Testbed for Co-Simulation of Scalable Serverless Computing Environments for AIoT Enabled Predictive Maintenance in Industry 4.0. - Muhammed Golec; Huaming Wu; Ridvan Ozturac; Ajith Kumar Parlikad; Félix Cuadrado; Sukhpal Singh Gill; Steve Uhlig (IEEE Internet Things J., 2025)

Unlocking Large Language Model Power in Industry: Privacy-Preserving Collaborative Creation of Knowledge Graph. - Liqiao Xia; Junming Fan; Ajith Kumar Parlikad; Xiao Huang 001; Pai Zheng (IEEE Trans. Big Data, 2025)