Dr. Saurabh Tewari

About

• I completed my PhD in 2021 from the Rajiv Gandhi Institute of Petroleum Technology, an institute of national importance. The research domain includes machine learning model design, deployment, and testing.
• Currently, I am an Assistant Professor in the Department of CSE at GLA University, India.
• I have published SCI peer-reviewed research works in international journals and attended reputed international conferences, book chapters, Indian patents, and software copyrights along with awards and recognition.
• I also have supervised several undergraduate and postgraduate students for their project development. These projects mainly consist of machine learning/ deep learning-based backend development followed by frontend development such as web, app development, etc.
• We are also testing IoT-based low-power chipset edge AI technology to deploy standalone detection-related solutions.

Employment

• GLA University Assistant Professor
  2024 - Present
• Algo8 A.I. Solution Architect Fellow
  2021 - 2021
• Rajiv Gandhi Institute of Petroleum Technology Senior Research Associate
  2015 - 2021

Education

• Uttar Pradesh Technical University - Noida Campus Bachelor of Technology
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Correction: Sharma et al. Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring. Metals 2021, 11, 1537
  Metals 2026 DOI: 10.3390/met16050506
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• El Nino Southern Oscillation and Indian Ocean Dipole teleconnection to the wetness and drought trend of Bhutan using time series (1983-2022) PERSIANN rainfall data
  International Journal of Applied Earth Observation and Geoinformation 2024 DOI: 10.1016/j.jag.2024.104228
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• Marine oil spill clean-up: A review on technologies with recent trends and challenges
  Regional Studies in Marine Science 2024 DOI: 10.1016/j.rsma.2024.103876
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• A Novel Multiagent Collaborative Learning Architecture for Automatic Recognition of Mudstone Rock Facies
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3507569
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• A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method
  2024 DOI: 10.1007/978-981-97-0037-0_11
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• A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines
  Structural Health Monitoring 2023 DOI: 10.1177/14759217231183715
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• A hybrid machine learning approach based study of production forecasting and factors influencing the multiphase flow through surface chokes
  Petroleum 2023 DOI: 10.1016/j.petlm.2023.06.001
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• Tribological considerations for failure restoration and maintenance of radial plunger pump against friction and abrasive wear behavior by microwave cladding of Ni-Graphene
  Materials Today: Proceedings 2023 DOI: 10.1016/j.matpr.2023.05.151
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• Predictive maintenance of pump: A case study in exploratory data analysis
  Advanced Signal Processing for Industry 4.0 2023 DOI: 10.1088/978-0-7503-5658-9ch8
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• Recent Advancements in AI-Assisted Drug Design and Discovery Systems
  Advanced Technologies and Societal Change 2023 DOI: 10.1007/978-981-99-1949-9_2
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