Automated Driver Assistance Systems
Contributed partly to a research project for one the world’s leading autombile company during my internship at ITC Infotech, from July 2015 to August 2015.
Contributed partly to a research project for one the world’s leading autombile company during my internship at ITC Infotech, from July 2015 to August 2015.
Final year project for my bachelor’s degree at Visvesvaraya Technological University, conducted from February 2016 to May 2016.
Thesis project for my masters’ degree at Jadavpur University, conducted from September 2018 to March 2019.
Research project conducted at Jadavpur University from February 2019 to May 2019.
An industrial project for one of the largest American telecommunications organizations during my tenure at Accenture, from July 2019 to December 2019.
A research project during my tenure at Accenture from April 2020 to June 2020.
An industrial project for a leading Indian consumer goods company during my tenure at Accenture, from January 2020 to June 2020.
An industrial project for a global professional services firm during my tenure at Accenture, from July 2020 to December 2020.
An industrial project for a one of the largest British multinational beverage alcohol companies during my tenure at Accenture, from October 2020 to December 2022.
A research project during my tenure at Accenture from April 2020 to June 2020.
An industrial project for a one of the largest American multinational Platform-as-a-Service (PaaS) organizations during my tenure at Accenture, from December 2020, to June 2022.
An industrial project for the largest Indonesian cellular telecommunication carrier during my tenure at Accenture, from July 2022 to January 2023.
A research project conducted in partnership with Accenture Security R&D Labs, Israel during my tenure at Accenture from January 2023 to July 2023.
Published in Fifteenth International Conference on Information Processing, 2019
The modified fuzzy clustering algorithm delivered relatively stable clustering results and was less prone to noisy MR images. The improvement in segmentation and tissue segmentation accuracy was found to be 4-7% in different scenarios over previous methods.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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