Krishnakumar Gopalakrishnan

Employment

• QUALCOMM Inc Systems Engineer
  2012 - 2014
• ON Semiconductor Applications Engineering Intern
  2011 - 2011
• ABB India Ltd. Applications Engineer
  2006 - 2009
• University College London

Education

• Imperial College London Doctor of Philosophy (Ph.D.)
  2014 - 2019
• University of Colorado at Colorado Springs Graduate Certificate in IDEATE (Innovative Drivetrains in Electric Automotive Technology Education)
  2012 - 2013
• Virginia Polytechnic Institute and State University Master of Engineering in Electrical Engineering
  2009 - 2011
• College of Engineering Trivandrum Bachelor of Technology in Electrical and Electronics Engineering
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• A Composite Single Particle Lithium-Ion Battery Model Through System Identification
  IEEE Transactions on Control Systems Technology 2022 DOI: 10.1109/TCST.2020.3047776
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• Optimal cell tab design and cooling strategy for cylindrical lithium-ion batteries
  Journal of Power Sources 2021 DOI: 10.1016/j.jpowsour.2021.229594
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• The impact of uncertainty on predictions of the CovidSim epidemiological code
  Nature Computational Science 2021 DOI: 10.1038/s43588-021-00028-9
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• Accelerating Heterogeneous Multiscale Simulations of Advanced Materials Properties with Graph‐Based Clustering
  Advanced Theory and Simulations 2021 DOI: 10.1002/adts.202000234
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• Model uncertainty and decision making: Predicting the Impact of COVID-19 Using the CovidSim Epidemiological Code
  2020 DOI: 10.21203/rs.3.rs-82122/v1
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• Model uncertainty and decision making: Predicting the Impact of COVID-19 Using the CovidSim Epidemiological Code
  2020 DOI: 10.21203/rs.3.rs-82122/v3
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• A Composite Single Particle Lithium-ion Battery Model through System Identification
  2019 DOI: 10.1149/osf.io/ynufg
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• Optimising lithium-ion cell design for plug-in hybrid and battery electric vehicles
  Journal of Energy Storage 2019 DOI: 10.1016/J.EST.2019.01.006
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• Optimising Li-ion Cell Layers Rapid Cell Design For EV Fast Charging
  Kraftwerk Batterie Advanced Battery Power Batterietagung 2018 2018
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• Optimal design of experiment for parameter estimation of a Single Particle Model for lithium-ion batteries
  IEEE Conference on Decision and Control 2018
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