Use of AHP for risk based fatigue degradation inspection analysis of topside piping on offshore production and process facilities. - Arvind Keprate; R. M. Chandima Ratnayake (IEEM, 2015)

Remaining Fatigue Life Prediction of Topside Piping Using Response Surface Models. - Arvind Keprate; R. M. Chandima Ratnayake (IEEM, 2018)

Assessment of Reliability and Remaining Fatigue Life of Topside Piping Using Dynamic Bayesian Network. - Arvind Keprate; R. M. Chandima Ratnayake (IEEM, 2019)

Architecture for Digital Spare-Parts Library: Use of Additive Layer Manufacturing in the Petroleum Industry. - R. M. Chandima Ratnayake; Arvind Keprate; Roman Wdowik (APMS (1), 2019)

Use of Analytical Hierarchy Process in Selecting the Optimum Equipment for Execution at a Construction Project. - Kumar Gaurav Thakur; Arvind Keprate (IEEM, 2020)

Exploratory Data Analysis of the N-CMAPSS Dataset for Prognostics. - Supratik Chatterjee; Arvind Keprate (IEEM, 2021)

Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression. - Sachin Bhardwaj; Arvind Keprate; R. M. Chandima Ratnayake (INTAP, 2021)

Standards, Ethics, Legal Implications & Challenges of Artificial Intelligence. - Sanjana Chauhan; Arvind Keprate (IEEM, 2022)

Prognostics for Small Bore Piping Undergoing Fatigue Degradation. - Arvind Keprate; Nikhil Bagalkot (IEEM, 2022)

Comparing Deep Learning Based Image Processing Techniques for Unsupervised Anomaly Detection in Offshore Wind Turbines. - Arvind Keprate; Saeid Sheikhi; Muhammad Salman Siddiqui; Monika Tanwar (IEEM, 2023)

From Theory to Practice: Leveraging Project Based Learning to Cultivate Student Engagement in Mechanical Engineering Education. - Arvind Keprate; Sam Woodford; Rafael Borrajo (IEEM, 2023)

Towards an Integrative Framework for Digital Twins in Wind Power. - Muhammad Salman Siddiqui; Arvind Keprate; Liang Yang; Tiril Malmedal (IEEM, 2023)