Predicting elastic strain fields in defective microstructures using image colorization algorithms PM Khanolkar, CC McComb, S Basu Computational Materials Science 186, 110068, 2020 | 16 | 2020 |
Mapping artificial intelligence-based methods to engineering design stages: A focused literature review PM Khanolkar, A Vrolijk, A Olechowski AI EDAM 37, e25, 2023 | 8 | 2023 |
Some new algorithms for locating a damage in thin plates using lamb waves NP Yelve, S Rode, P Das, P Khanolkar Engineering Research Express 1 (1), 015027, 2019 | 7 | 2019 |
A Pilot study on the prevalence of artificial intelligence in canadian engineering design curricula PM Khanolkar, M Gad, J Liao, A Hurst, A Olechowski Proceedings of the Canadian Engineering Education Association (CEEA), 2021 | 6 | 2021 |
Using deep image colorization to predict microstructure-dependent strain fields PM Khanolkar, A Abraham, C McComb, S Basu Procedia Manufacturing 48, 992-999, 2020 | 5 | 2020 |
Image-based Data on Strain Fields of Microstructures with Porosity Defects P Khanolkar, S Basu, C McComb Data in Brief, 2020 | 2 | 2020 |
Towards a Modern Canadian Engineering Design Curriculum: Balancing Artificial Intelligence and Human Cognition A Olechowski, PM Khanolkar, J Lu, A Hurst | 1 | 2022 |
Assessing the Prevalence of Artificial Intelligence in Mechanical Engineering and Design Curricula PM Khanolkar, J Lu, A Hurst, A Olechowski International Design Engineering Technical Conferences and Computers and …, 2024 | | 2024 |
A case study of the decision-making behind the automation of a composites-based design process PM Khanolkar, A Vrolijk, A Olechowski Proceedings of the Design Society 3, 49-58, 2023 | | 2023 |
Development of a Lamb Wave Based Algorithm for Detecting a Damage in Thin Plate Structures S Rode, N Yelve, P Khanolkar, M Thube, A Thampy, C Thomas | | 2017 |
Proposing digital thread as an effective data management framework for modelling and simulation of EV battery thermal management systems PM Khanolkar, C Da Silva, A Olechowski, C Amon | | |