Personal profile
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.
Education/Academic qualification
Doctor of Philosophy, Development of condition monitoring and process control system for wire EDM, Indian Institute of Technology Palakkad
3 Jan 2018 → 30 Jul 2021
Award Date: 30 Jul 2021
Master of Engineering, Finite element modelling of thermal assisted machining of hard to machine materials, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
2013 → 2015
Bachelor of Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
2008 → 2012
External positions
Research Associate, Indian Institute of Technology Palakkad
2 Aug 2021 → 31 Mar 2022
Assistant Professor, Sreepathy Institute of Management and Technology
13 Jul 2015 → 3 Jan 2018
Project Engineer, Flowserve Corporation
4 Jun 2012 → 31 May 2013
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
DIGF-CRAD-07206: D3M-CoLab 2
Sherlock, A. (Principal Investigator), Bylya, O. (Researcher), Reshetov, A. (Researcher), Wilson, D. (Fellow), Puthanveettil Madathil, A. (Researcher), Vassiades, C. (Researcher), Azim, S. S. (Researcher) & Kasarapu, S. (Researcher)
1/04/25 → 19/06/26
Project: Knowledge Exchange
-
DIGF-CRAD-06294: Data-driven Manufacturing Colab (D3M Colab project)
Sherlock, A. (Principal Investigator), Reshetov, A. (Researcher), Wilson, D. (Fellow), Bylya, O. (Researcher), Puthanveettil Madathil, A. (Researcher), Vassiades, C. (Researcher), Azim, S. S. (Researcher) & Kasarapu, S. (Researcher)
3/04/23 → 31/03/25
Project: Knowledge Exchange
-
A physics informed machine learning framework towards density prediction of additively manufactured components
Puthanveettil Madathil, A., Bylya, O. & Sherlock, A., 13 Apr 2026, In: Key Engineering Materials. 1047, p. 73-82 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
ESAFORM Benchmark 2025: predicting stainless steel PBF-LB part density using statistical, data-driven, and physics-informed machine learning models derived from process parameters and in-situ monitoring data
Monu, M. C. C., McCarthy, E., Madathil, A. P., Chekotu, J. C., Ilic, I., Doğu, M. N., Hughes, C., Juan, R., Amini, E., Lian, J., Vassiades, C., Bylya, O., Darosa, K., Kromer, R., Seidou, A. H., Mohanty, S., Habraken, A. M., Mertens, A., Laitinen, O. & Tucker, M. R. & 1 others, , 24 Mar 2026, In: International Journal of Material Forming . 19, 2, 31.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure)
Datasets
-
Displacement from accelerometer signals
Puthanveettil Madathil, A. (Creator), University of Strathclyde, 2 Sept 2024
DOI: 10.15129/453da619-3b55-482a-a045-ea93c3edbbae
Dataset
Prizes
-
Best paper award
Puthanveettil Madathil, A. (Recipient) & Luo, X. (Recipient), 1 Aug 2022
Prize: Prize (including medals and awards)
File -
Best Paper Award on ICPE2024 conference
Liu, Q. (Recipient), Luo, X. (Recipient), Xie, W. (Recipient), Puthanveettil Madathil, A. (Recipient), Walker, C. (Recipient) & Madarkar, R. (Recipient), 2024
Prize: Prize (including medals and awards)
Activities
-
Trust in AI for NDT: Mitigating Risks by Building in Knowledge
Poole, A. (Invited speaker), McArthur, S. (Contributor), Kasarapu, S. (Contributor), Puthanveettil Madathil, A. (Speaker), Vassiades, C. (Contributor), Yakushina, E. (Contributor), Reshetov, A. (Contributor), Sherlock, A. (Contributor), Bylya, O. (Contributor), Azim, S. S. (Contributor) & Wilson, D. (Contributor)
27 Aug 2025Activity: Talk or Presentation › Invited talk
-
AI in manufacturing - Role, relavance and future prospects
Puthanveettil Madathil, A. (Speaker)
18 Jul 2025Activity: Talk or Presentation › Invited talk