Yuvaraj Natarajan

About

Yuvaraj is an artificial intelligence and data science researcher with 3 years of international experience.
He worked as a postdoctoral researcher in Kyungil University, DongA University and Kyungpook National University, South Korea. Ministry of Science and Technology, South Korea recognized his research proposal on “Integrating artificial intelligence-based solutions for smart building maintenance” with a funding of 11 million INR. Yuvaraj collaborated with global researchers and published his research works in top-tier journals (Highest impact factor - 10.3).

Employment

• Kyungpook National University Researcher
  2019 - 2022
• KPR Institute of Engineering and Technology Associate Professor
  2014 - 2024
• Vellore Institute of Technology, Vellore, Tamilnadu

Education

• Kyungpook National University PostDoc Reseacher
  2019 - 2022
• Anna University, Chennai Doctorate of Philosophy (Ph.D)
  2013 - 2017
• Anna University, Chennai M.E
  2009 - 2011
• KS Rangasamy College of Technology B.Tech
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (33)

• Edge-Enabled Multi-Modal Swin Transformer with Contextual Attention for Intelligent Safety Intervention in Dynamic Construction Environments
  2026 DOI: 10.2139/ssrn.6485046
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• Enterprise-Ready Post-Quantum Zero Trust Storage: The QSS4 Architecture
  SN Computer Science 2026 DOI: 10.1007/s42979-025-04705-8
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• Advancements in Sinkhole Remediation: Field data-driven Sinkhole grout volume prediction model via machine learning-based regression Analysis
  Artificial Intelligence in Geosciences 2025 DOI: 10.1016/j.aiig.2025.100159
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• A Novel Hybrid Feature Selection with Cascaded LSTM: Enhancing Security in IoT Networks
  Wireless Communications and Mobile Computing 2024 DOI: 10.1155/2024/5522431
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• Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction
  Sustainability 2024 DOI: 10.3390/su16051925
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• Predicting the lateral displacement of tall buildings using an LSTM-based deep learning approach
  Wind and Structures 2023 DOI: 10.12989/WAS.2023.36.6.379
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• Measurement and analysis of pocket milling features in abrasive water jet machining of Ti-6Al-4V alloy (vol 23, 42, 2022)
  Archives of Civil and Mechanical Engineering 2023 DOI: 10.1007/S43452-023-00655-1
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• A Comprehensive Review on Machine Learning Techniques for Forecasting Wind Flow Pattern
  Sustainability 2023 DOI: 10.3390/SU151712914
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• Forecasting Carbon Dioxide Emissions of Light-Duty Vehicles with Different Machine Learning Algorithms
  Electronics 2023 DOI: 10.3390/electronics12102288
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• Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings
  Sensors 2023 DOI: 10.3390/s23146439
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