Siddharth R

Employment

• Indian Institute of Information Technology Dharwad Assistant Professor
  2024 - Present
• Indian Institute of Technology Palakkad Postdoctoral researcher
  2022 - 2024
• Indian Institute of Technology Madras Research Program Manager
  2021 - 2022
• AAA College of Engineering & Technology Assistant Professor
  2014 - 2016

Education

• National Institute of Technology Puducherry Ph.D.
  2016 - 2021
• Madras Institute of Technology M.Tech
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Characterizing Neural Network Weights for Class Imbalanced Learning
  2023 IEEE Pune Section International Conference (PuneCon) 2023 DOI: 10.1109/punecon58714.2023.10449991
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• A digital image colorimetry approach for identifying fuel types in downstream petroleum sector
  International Journal of Information Technology 2023 DOI: 10.1007/s41870-023-01206-w
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• A Fog-Assisted Framework for Intelligent Video Preprocessing in Cloud-based Video Surveillance as a Service
  Siddharth Ravindran, Gnanasekaran Aghila
  IEEE Transactions on Sustainable Computing 2022 DOI: 10.1109/tsusc.2022.3177688
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• Automation to Find Adulteration in Downstream Petroleum Monitoring Using Machine Learning: An Overview
  Recent Advances in Manufacturing, Automation, Design and Energy Technologies 2022 DOI: 10.1007/978-981-16-4222-7_48
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• RandPro- A practical implementation of random projection-based feature extraction for high dimensional multivariate data analysis in R
  SoftwareX 2020 DOI: 10.1016/j.softx.2020.100629
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• A Data-Independent Reusable Projection (DIRP) Technique for Dimension Reduction in Big Data Classification Using k-Nearest Neighbor (k-NN)
  National Academy Science Letters 2020 DOI: 10.1007/s40009-018-0771-6
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• A Light Weight Background Subtraction Algorithm for Motion Detection in Fog Computing
  R. Siddharth, Gnanasekaran Aghila
  IEEE Letters of the Computer Society 2020 DOI: 10.1109/LOCS.2020.2974703
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• A Privacy-Preserving Feature Extraction Method for Big Data Analytics Based on Data-Independent Reusable Projection
  Handbook of Research on Cloud Computing and Big Data Applications in IoT 2019 DOI: 10.4018/978-1-5225-8407-0.ch008
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• Towards Cost-Effective Approach for Storing Intermediate Datasets in Cloud
  Advances in Natural and Applied Sciences 2014
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• A cost-effective approach towards storage and Privacy preserving for Intermediate data sets in Cloud Environment
  2014
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