Dr Abhilash Puthanveettil Madathil
Research Associate A I In Manufacturing
Digital Factory
Personal statement
Abhilash is a researcher at the National Manufacturing Institute Scotland (NMIS), specializing in AI-driven manufacturing innovations. His research expertise includes AI enabled smart manufacturing, digital twins, additive manufacturing, ultra-precision, and non-traditional manufacturing processes.
Previously, he worked as a Research Associate at the Centre for Precision Manufacturing (CPM), University of Strathclyde, where he successfully developed and implemented digital twin solutions for the smart manufacturing of high-value products as part of the 'SMART' EPSRC project.
Abhilash holds a Ph.D. from the Indian Institute of Technology Palakkad (India), with coursework completed at IIT Madras. He also earned a Master’s degree in Engineering Design (First rank at the university level) and a Bachelor's degree in Mechanical Engineering from Amrita University (India).
With over 25 research articles published in reputed international peer-reviewed journals, he has also published an edited book on 'Bioimplants Manufacturing' and contributed to several international conference publications including CIRP, WCMNM, Nanoman and SPIE Photonics. Recently his perspectives on the explainability of AI enabled manufacturing systems were published in the highly reputed Nature journal 'npj Advanced Manufacturing'.
He recently had two best paper awards in international conferences - NanoMan 2022 at Dublin, Irelend and ICPE 2024 at Japan. He is the guest editor of Applied Sciences journal (Q1, SCIE) and Co-chair of the 3rd AIGC 2025 international conference.
Prize And Awards
- Best Paper Award on ICPE2024 conference
- Recipient
- 2024
- Best paper award
- Recipient
- 1/8/2022
- TOP CITED ARTICLE (2018-2022)
- Recipient
- 2022
Publications
- A review of explainable artificial intelligence in smart manufacturing
- Puthanveettil Madathil Abhilash, Luo Xichun, Liu Qi, Walker Charles, Madarkar Rajeshkumar, Qin Yi
- International Journal of Production Research, pp. 1-44 (2025)
- https://doi.org/10.1080/00207543.2025.2513574
- A hybrid GRA-TOPSIS-RFR optimization approach for minimizing burrs in micro-milling of Ti-6Al-4V Alloys
- Tan Rongkai, Madathil Abhilash Puthanveettil, Liu Qi, Cheng Jian, Lin Fengtao
- Micromachines Vol 16 (2025)
- https://doi.org/10.3390/mi16040464
- Intrinsic and post-hoc XAI approaches for fingerprint identification and response prediction in smart manufacturing processes
- Puthanveettil Madathil Abhilash, Luo Xichun, Liu Qi, Walker Charles, Madarkar Rajeshkumar, Cai Yukui, Liu Zhanqiang, Chang Wenlong, Qin Yi
- Journal of Intelligent Manufacturing Vol 35, pp. 4159-4180 (2024)
- https://doi.org/10.1007/s10845-023-02266-2
- Towards next-gen smart manufacturing systems : the explainability revolution
- Puthanveettil Madathil Abhilash, Luo Xichun, Liu Qi, Madarkar Rajeshkumar, Walker Charles
- npj Advanced Manufacturing Vol 1 (2024)
- https://doi.org/10.1038/s44334-024-00006-9
- XAI-driven digital twin for cobot dynamic error compensation
- Puthanveettil Madathil Abhilash, Walker Charlie, Luo Xichun, Liu Qi, Madarkar Rajeshkumar, Qin Yi
- Procedia CIRP Vol 126, pp. 176-181 (2024)
- https://doi.org/10.1016/j.procir.2024.08.320
- Bioimplants Manufacturing : Fundamentals and Advances
- P M Abhilash, Gajrani Kishor Kumar, Luo Xichun
- Advances in Manufacturing, Design and Computational Intelligence Techniques Advances in Manufacturing, Design and Computational Intelligence Techniques (2024)
- https://doi.org/10.1201/9781003509943
Professional Activities
- Digital Twin-Driven Smart Manufacturing
- Speaker
- 23/3/2024
- The 2nd International Conference on AI-generated Content (AIGC 2024) (Event)
- Advisor
- 2024
- International Conference on Industrial Engineering, Intelligent Manufacturing, and Automation, 2023
- Keynote/plenary speaker
- 20/10/2023
- Applied Sciences (Journal)
- Guest editor
- 25/8/2023
- Frontiers in Manufacturing Technology (Journal)
- Guest editor
- 1/2/2023
- 1st International Conference on AI-generated Content (Event)
- Member
- 2023
Projects
- D3M-CoLab 2
- Sherlock, Andrew (Principal Investigator) Bylya, Olga (Researcher) Reshetov, Aleksey (Researcher) Wilson, David (Fellow) Puthanveettil Madathil, Abhilash (Researcher) Vassiades, Constantinos (Researcher) Azim, Safi Sohail (Researcher) Kasarapu, Satya (Researcher)
- The D3M_CoLab2 project is exploring the potential of data science to solve real-world manufacturing problems and boost productivity by upskilling local engineers. Project allows companies to safely explore ideas to drive forward data-driven transformation within their businesses by enabling them to replicate their physical and digital infrastructure without impacting daily business operations.
The project aims to share knowledge, resources, and expertise in data-driven manufacturing, as well as providing training and education to equip the workforce with the necessary skills to leverage data-driven technologies. - 01-Jan-2025 - 19-Jan-2026
- Data-driven Manufacturing Colab (D3M Colab project)
- Sherlock, Andrew (Principal Investigator) Reshetov, Aleksey (Researcher) Wilson, David (Fellow) Bylya, Olga (Researcher) Puthanveettil Madathil, Abhilash (Researcher) Vassiades, Constantinos (Researcher) Azim, Safi Sohail (Researcher) Kasarapu, Satya (Researcher)
- The project aims to share knowledge, resources, and expertise in data-driven manufacturing, as well as providing training and education to equip the workforce with the necessary skills to leverage data-driven technologies. Project partners include Babcock, BAE systems, Infor, and Anaconda. The project aims to bridge the gap between manufacturing and data science by growing a cohort of individuals, embedded in industry, who can apply data science to solve industrial problems and then supporting them to deploy solutions.
- 03-Jan-2023 - 31-Jan-2025
Contact
Dr
Abhilash
Puthanveettil Madathil
Research Associate A I In Manufacturing
Digital Factory
Email: abhilash.p-m@strath.ac.uk
Tel: Unlisted