Lakshmi Murgod

About

Lakshmi Murgod is a postdoctoral researcher in experimental high-energy physics and neutrino physics. She completed her PhD at the Central University of Karnataka, where her research focused on machine learning applications for the India-based Neutrino Observatory (INO-ICAL). Her research experience includes neutrino physics, cosmic-ray studies, Resistive Plate Chamber (RPC) detector development and characterization, and machine learning-based particle detection and reconstruction. She is currently working with the Neutrino Group at the Institute of High Energy Physics (IHEP), Chinese Academy of Sciences, on JUNO data analysis and the development of machine learning algorithms for solar neutrino direction reconstruction. Her research interests include experimental neutrino physics, detector instrumentation, data analysis, and machine learning applications in particle physics.

Employment

• Institute of High Energy Physics Postdoctoral Researcher
  2024 - 2025
• Akkamahadevi Women’s University Karnataka, Vijayapura Guest Faculty
  2016 - 2018

Education

• Central University of Karnataka Doctorate
  2018 - 2024
• Central University of Karnataka Master of Science
  2014 - 2016
• Karnatak University Bachelor of Science
  2011 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• A Low-energy Threshold and Multi-messenger Trigger System for the JUNO Experiment
  2026
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• Final assessment of radioactive impurities in the JUNO detector
  2026
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• Initial performance results of the JUNO detector*
  Chin. Phys. C 2026 DOI: 10.1088/1674-1137/ae3dc1
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• Measurement of reactor neutrino oscillation with the first JUNO data
  Nature 2026 DOI: 10.1038/s41586-026-10538-z
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• AI-Based Models in~INO-ICAL: An Overview of~Applications and~Studies
  Springer Proc. Phys. 2024 DOI: 10.1007/978-981-97-0289-3_146
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• GNN-based muon energy reconstruction for INO-ICAL
  PoS 2024 DOI: 10.22323/1.462.0075
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• Machine learning-based prediction of multi-muon events in the INO-ICAL prototype stack
  J. Phys. Comm. 2024 DOI: 10.1088/2399-6528/ad1f72
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• Muon-electron elastic scattering events in INO-ICAL prototype
  PoS 2024 DOI: 10.22323/1.462.0083
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• Simulation of muon-spin rotation for estimation of magnetic field in INO-ICAL
  PoS 2022 DOI: 10.22323/1.398.0217
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• Deep Learning-Based Energy Reconstruction of Cosmic Muons in mini-ICAL Detector
  Springer Proc. Phys. 2021 DOI: 10.1007/978-981-33-4408-2_109
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