Miscellaneous
Press
Fellowship, Scholarships & Grant
- 2026: Visiting Grant, Digital Futures Early Career Grant, KTH Royal Institute of Technology, Sweden
- 2026: Visiting Grant, Danish Data Science Academy, University of Copenhagen, Denmark
- 2026: OWLG Travel Grant, Mathematisches Forschungsinstitut Oberwolfach, Germany
- 2025–2027: Schmidt AI in Science Postdoctoral Fellowship, University of Oxford, England
- 2023: Travel Grant for attending CWI Autumn School, Amsterdam, The Netherlands
- 2021: CEMPI LABEX Fellowship for pursuing master’s (Fully-funded), France
- 2018: SAARC Nation Scholarship for pursuing master’s (Fully-funded), India
- 2017: SAARC Nation Scholarship for pursuing master’s (Fully-funded), India
Invited talks
- 2026: Digital Futures, Stockholm, Sweden on “Rethinking SciML: From accuracy to sustainability”
- 2026: University of Copenhagen, Copenhagen, Denmark on “Balancing accuracy and environmental impact of neural PDEs solver”
- 2026: Scientific computing seminar, CWI, Amsterdam, The Netherlands on “Smart AI, not just accurate AI: Towards sustainable scientific machine learning”
- 2026: AIM (AI and Math), University of Groningen, The Netherlands on “Less data, less compute, more physics: Sustainable scientific machine learning”
- 2026: IIT Delhi–JHU Seminar Series on “Smart AI, not just accurate AI: Towards sustainable scientific machine learning”
- 2026: Agency for science, technology and research (A*STAR), Singapore on “Next-generation AI for science”
- 2026: Biometris, WUR on “Neural Oscillators for generalisation of PDEs”
- 2026: AI for science and engineering, WUR on “Physics informed machine for complex systems”
- 2025: Schmidt AI in science workshop, University of Toronto, Toronto, Canada on “Need of foundation models in engineering”
- 2024: Knowledge guided machine learning bridge program AAAI, Vancouver, Canada on “Neural ODEs for generalization of machine learning” (lightining talk)
- 2024: Eindhoven Artificial Intelligence systems Institute, Eindhoven, The Netherlands on “Tackling generalization issues in scientific machine learning”
- 2024: CRUNCH Seminar Brown University on “Neural oscillators for generalization of physics-informed machine learning”
- 2022: Rail Seminar, Section of Railway Engineering, TU Delft, CITG, Delft, The Netherlands on “Physics-informed learning for traction return current”
Contributed talks
- 2024: Workshop on Computational and Mathematical Methods in Data Science, TU Delft, “Enhancing Generalization in Physics-Informed Machine Learning with Neural Oscillators “.
- 2023: Eurodyn Conference, TU Delft, The Netherlands on “Physics-informed machine learning for moving load problems”.
- 2023: IEEE SSCI Conference, Singapore, on “Predicting traction return current in electric railway systems through physics-informed neural networks”.
