SAKSHI BANSAL

About

Applied AI researcher (PhD, PostDoc) specializing in electric-vehicle and energy systems: battery SOH/RUL estimation, second-life battery assessment, energy-storage sizing, and grid-aware charging — backed by a strong ML toolkit in deep learning, time-series forecasting, reinforcement learning, and agentic AI.
Approximately ten years across academia and applied industry research, with 14 publications (h-index 6), including two in the Journal of Energy Storage (IF 10.7). Currently conducting independent research on AI for second-life EV batteries and uncertainty-aware charging optimization, with an active international collaboration.
I turn research into deployment-ready systems and work fluently with research, industry, and government stakeholders. Available for forecasting pipelines, ML model development and validation, battery and energy data analysis, optimization, and technical writing or manuscript review.

Employment

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Education

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Projects & Funding

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Publications (14)

• Sclera segmentation and recognition
  IET Conference Proceedings CP920 2025
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• Energy storage system optimum sizing in battery electric vehicle: The role of battery modelling
  Electric Vehicle Propulsion Drives and Charging Systems 2024
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• Towards Industrial Artificial Intelligence: A Discussion of Management, Technology and Human
  IEEE Systems, Man, and Cybernetics Magazine 2024
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• Effect of supercapacitor modelling and unit cell capacitance selection towards economic sizing of energy storage system in electric vehicle
  TIDEE: TERI Information Digest on Energy and Environment 2023
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• Methods to detect breast cancer using traditional machine learning technique
  2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) 2023
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• Effect of supercapacitor modelling and unit cell capacitance selection towards economic sizing of energy storage system in electric vehicle
  Journal of Energy Storage 2022
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• Condition monitoring of machinery: A case study
  2021 6th International Conference on Signal Processing, Computing and Control (ISPCC) 2021
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• Energy storage sizing in plug-in Electric Vehicles: Driving cycle uncertainty effect analysis and machine learning based sizing framework
  Journal of Energy Storage 2021
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• Identifying quality attributes of FODA and DSSA methods in domain analysis using a case study
  2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART) 2021
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• Economic performance of solar assisted battery and supercapacitor based E-rickshaw
  2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020) 2020
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