Aritra Chaudhuri

About

I have finished BE in Electrical Engineering in 2010 and obtained Masters in Instrumentation in 2012. I received my PhD degree from IIT Kharagpur in February 2020. I worked in Mahindra Electric Mobility Limited (MEML), Bengaluru, India as a data scientist in Energy Systems department from July 2019 to June 2022 after submitting my PhD thesis.

In MEML my primary focus was in development of novel data-driven solutions using data analytics and machine learning, especially deep learning algorithms to improve the performance of BMS of electric vehicles. My proposed solutions were used to design frameworks which goes through extensive testing with a cross-functional team. Finally embedded software development teams would prototype my proposed solutions.

In June 2022 I moved to Eskilstuna, Sweden and joined Volvo Construction equipment AB as a development engineer. I am currently working in this role in Driveline & Electromobility department under the supervision of Anders Fröeberg. My focus here is in developing Energy Storage Systems for electromobility solutions of construction machinery; which includes simulations, requirements analysis, BMS development, and data analytics.

I have 2 patents under filing with Indian Patent Office and several others under preparation, as well as 2 journal papers and several international conference papers out of my work in MEML and during my Masters-PhD.

Employment

• AB Volvo Development Engineer
  2022 - Present
• Mahindra Electric Mobility Limited Data Scientist
  2019 - 2022
• Indian Institute of Technology Kharagpur Senior Research Fellow, Project CEH
  2012 - 2013

Education

• Indian Institute of Technology Kharagpur Ph. D.
  2012 - 2019
• Indian Institute of Technology Kharagpur M. Tech.
  2010 - 2012
• Indian Institute of Engineering Science and Technology B. E.
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Battery State of Health Estimation using a Novel Regression Framework
  2021 DOI: 10.1109/ITEC-India53713.2021.9932536
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• Driver Fatigue Detection Through Chaotic Entropy Analysis of Cortical Sources Obtained From Scalp EEG Signals
  IEEE Transactions on Intelligent Transportation Systems 2020 DOI: 10.1109/TITS.2018.2890332
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• A Multimodal System for Assessing Alertness Levels due to Cognitive Loading
  IEEE Transactions on Neural Systems and Rehabilitation Engineering 2017 DOI: 10.1109/TNSRE.2017.2672080
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• Analysis of loss of alertness due to cognitive fatigue using Motif Synchronization of EEG records
  2016 DOI: 10.1109/EMBC.2016.7591031
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• Source imaging of simple finger movements captured during auditory response tasks using space-time-frequency based sparsity constraints
  2016 DOI: 10.1109/EMBC.2016.7591625
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• A low-cost, wearable, portable EOG recording system
  2016 International Conference on Systems in Medicine and Biology (ICSMB) 2016 DOI: 10.1109/ICSMB.2016.7915098
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• Alertness Monitoring System for Vehicle Drivers using Physiological Signals
  Handbook of Research on Emerging Innovations in Rail Transportation Engineering 2016
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• Determining ocular gaze point fixation captured during triggered full saccades using EOG
  2016 International Conference on Systems in Medicine and Biology (ICSMB) 2016 DOI: 10.1109/ICSMB.2016.7915083
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• Source Imaging of Simple Finger Movements Captured During Auditory Response Tasks: Estimation of Variation in Neural Information Flow under Varying Vigilance Levels
  Proceedings of the 24th Europian Signal Processing Conference (EUSIPCO) 2016 DOI: 10.1109/EUSIPCO.2016.7760463
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• Evaluation of Denoising Techniques for EOG signals based on SNR Estimation
  2015
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