Contact details
About
Overview
Allamaprabhu Ani is a doctoral researcher in the School of Science and Technology at City, St George’s, University of London, working at the intersection of computational solid mechanics and Artificial Intelligence. His research focuses on bridging traditional engineering simulation with modern AI by building highly scalable, GPU-accelerated differentiable physics engines. He is the lead developer of PhAST, a PyTorch-native package for phase-field fracture mechanics. By integrating automated differentiation directly into finite element solvers, his work enables efficient gradient-based inverse problem solving and provides a robust foundation for next-generation neural operators in both academic research and industrial R&D.
Alongside his research and software development, Allamaprabhu is deeply involved in engineering education. He serves as a Graduate Teaching Assistant for core mechanics and CAD modules, and was awarded the Dean's Award for Outstanding Teaching Support in 2026. He is also the co-organiser of the EPSRC-supported Mechanics and Machine Learning (M2L) Workshop at City.
Prior to his doctoral studies, Allamaprabhu earned his MTech in Design and Manufacturing from the National Institute of Technology Silchar, receiving the Best Student Award, and founded Aeroknacks India Ltd to develop aerospace structural analysis automation tools for commercial engineering workflows. His research is highly collaborative, featuring active engagements and past work with leading global institutions, including the Indian Institute of Science (IISc) Bengaluru, the University of Florida, and EPFL (Switzerland) where he was a Visiting Researcher at the LSMS Lab in 2025. This international collaboration culminated in his role as the lead author of the comprehensive 2026 Engineering Fracture Mechanics review on machine learning for computational fracture.
Employment
- Graduate Teaching Assistant, City St George's, University of London, United Kingdom, August 2023 - present
Awards
- City St George's, University of London (2026). Dean's Award for Outstanding Teaching Support
- Worshipful Company of Tin Plate Workers alias WIRE workers (2026). Yeoman Status & Travelling Scholarship
Languages
English (can read, write, speak, understand spoken, peer review), Hindi (can read, write, speak, understand spoken) and Kannada (can read, write, speak, understand spoken, peer review)
Publications
Publications by category
Chapter
- Ani, A.S. and Deoghare, A.B. (2024). Leveraging Machine Learning for Enhanced Fatigue Life Prediction in Aluminum Alloys. Lecture Notes in Mechanical Engineering (pp. 733-743). Springer Nature Singapore. ISBN 9789819775347.
Journal articles (2)
- Ani, A., Nakka, R., Subhash, G., Molinari, J.-.F. and Ponnusami, S.A. (2026). Machine learning for computational fracture and damage mechanics— Status and perspectives. Engineering Fracture Mechanics, 332, pp. 111778-111778. doi:10.1016/j.engfracmech.2025.111778
- Srinivasa, C.V., Ani, A.S. and Jyothi Prasad, B.M. (2020). Protective Coatings for Bio-Composites – A Review. IOP Conference Series: Materials Science and Engineering, 925(1), pp. 012048-012048. doi:10.1088/1757-899x/925/1/012048