Pallabi Saikia

Employment

• Rajiv Gandhi Institute of Petroleum Technology Assistant professor
  2022 - Present
• Pandit Deendayal Energy University Assistant Professor
  2020 - 2022

Education

• Indian Institute of Technology Guwahati PhD
  2014 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• GeoTrans: a transfer learning approach for estimating petrophysical properties from geophysical sensors data
  Neural Computing and Applications 2024 DOI: 10.1007/s00521-024-09489-1
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• Stacked ensemble model for reservoir characterisation to predict log properties from seismic signals
  Computational Geosciences 2023 DOI: 10.1007/s10596-023-10248-9
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• Automatic Concurrent Arrhythmia Classification using Deep Residual Neural Networks
  2020
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• A review of deep learning with special emphasis on architectures, applications and recent trends
  Knowledge-Based Systems 2020 DOI: 10.1016/j.knosys.2020.105596
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• Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models
  Computers and Geosciences 2020 DOI: 10.1016/j.cageo.2019.104357
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• A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
  2019 DOI: 10.20944/preprints201902.0233.v1
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• Investigating stacked ensemble model for oil reservoir characterisation
  Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 2019 DOI: 10.1109/SMC.2019.8914488
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• Reservoir Facies Classification using Convolutional Neural Networks
  Proceedings of the 2019 IEEE Recent Advances in Geoscience and Remote Sensing: Technologies, Standards and Applications, TENGARSS 2019 2019 DOI: 10.1109/TENGARSS48957.2019.8976038
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• Seismic Signal Interpretation for Reservoir Facies Classification
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019 DOI: 10.1007/978-3-030-34872-4_45
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• An Empirical Study on Unsupervised Pre-training Approaches in Regression Problems
  2018 DOI: 10.1109/SSCI.2018.8628674
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