Mr. Aniket Kumar Rawat | Faculty Computer Science and Engineering

Mr. Aniket Kumar Rawat is an Assistant Professor in the Department of Computer Science and Engineering at Graphic Era Hill University, Dehradun, Uttarakhand, India, and is currently pursuing his Ph.D. in Computer Science and Engineering. He obtained his M.Tech. degree in Computer Science and Engineering (AI/ML) from Manav Rachna International Institute of Research and Studies, Haryana, and his B.Tech. degree in Computer Science and Engineering from JC Bose University of Science and Technology, YMCA. Mr. Rawat’s research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, Geospatial Data Science, Remote Sensing, Renewable Energy Forecasting, Cybersecurity, and Natural Language Processing. His research focuses on developing intelligent and data-driven solutions for real-world problems through the integration of machine learning, geospatial analytics, and computational intelligence. He has worked extensively on Land Use and Land Cover (LULC) classification, urban growth analysis, environmental monitoring using satellite imagery, solar energy suitability assessment, and time-series forecasting of renewable energy resources.

Before joining Graphic Era Hill University, Mr. Rawat served as an Assistant Professor at Shivalik College of Engineering, Dehradun, where he taught courses including Advanced Python Programming, Data Science & Analytics, Machine Learning, Database Management Systems, and Agri-Informatics. He has actively mentored undergraduate students in projects and dissertations, coordinated the Data Science & Machine Learning Club, and contributed to Outcome-Based Education (OBE) and NBA accreditation activities, including CO-PO mapping, Self-Assessment Report (SAR) preparation, assessment methodologies, and attainment analysis. In addition to his academic experience, Mr. Rawat has gained valuable research and industrial exposure through his association with reputed institutions such as IIT Delhi and IIT Kanpur. As a Research Associate Intern at Baud Resources, IIT Delhi, he worked on projects related to solar auditing, residual life analysis, control system design, and machine learning-based predictive systems. He also served as a Developer at Prutor, IIT Kanpur, contributing to the development of educational resources, programming assignments, and automated evaluation systems.

Mr. Rawat has published research papers in reputed journals, edited books, and international conferences. His publications include research on healthcare analytics, geospatial artificial intelligence, renewable energy forecasting, and cybersecurity. His recent IEEE conference papers include “Improving Network Security Through Machine Learning Based Traffic Classification: A Comparative Survey,” which investigates machine learning-based attack detection in Software Defined Networks, and “GeoAI for Solar Energy Optimisation: A State-Wise Suitability Analysis of India,” which proposes a GeoAI framework for identifying optimal solar energy deployment locations across India. He has also presented his work on Spatio-temporal LULC Pattern Analysis of Urban Growth and Water Features in Faridabad using Machine Learning at ICDISS 2025 and has contributed a book chapter titled “Interface for Monitoring and Tracking Pregnant Women’s Fetal Health Conditions Based on Cardiotocogram Information” published by CRC Press. With expertise in Python, R, TensorFlow, PyTorch, Scikit-learn, QGIS, Google Earth Engine, and data analytics tools, Mr. Rawat is committed to interdisciplinary research and innovative teaching methodologies. His long-term vision is to leverage Artificial Intelligence and Data Science for addressing challenges in sustainable development, smart cities, renewable energy systems, cybersecurity, and environmental conservation. Through his research, teaching, and academic service, he strives to inspire students and contribute meaningfully to the advancement of intelligent and sustainable technologies.

 LIST OF RESEARCH PUBLICATION

 Kumar, A., Kumar, M., Girija, R., Singhal, S., & Gupta, S. (2025). Interface for monitoring and tracking pregnant women’s fetal health conditions based on cardiotocogram information. In IoT, Blockchain, and Smart Healthcare (1st ed.). CRC Press. https://doi.org/10.1201/9781003510932-6

 Rawat, A. K. (2024). Comparative study of Sondh Village through geospatial data analytics using QGIS, Tableau and GeoPandas. In Proceedings of the International Conference on Progressive Computational Intelligence, Information Technology and Networking (Com-IT Con 2024). https://doi.org/10.1201/9781003650010-78

 Rawat, A. K. (2025). Spatio-temporal LULC pattern analysis of urban growth and water features in Faridabad using machine learning. In Proceedings of the IEEE Co-Sponsored International Conference on Data Intelligence and Intelligent Systems (ICDISS 2025). https://doi.org/10.1109/ICDISS68238.2025.11320788

 Rawat, A. K. (2025). Sanskrit NLP, Artificial Intelligence and Computational Linguistics. (https://sl1nk.com/fwf9ov8)

 Rawat, A. K. (2026). Hybrid machine learning and time series approaches for GHI forecasting in Dehradun using NSRDB data. In Proceedings of the 2026 International Conference on Computing Sciences and Communications (ICCSC 2026). https://doi.org/10.1109/ICCSC67078.2026.11468504

 Lakhiwal, M. K., Rawat, A. K., Panda, S. P., & Bhammarkar, R. (2026). Improving network security through machine learning based traffic classification: A comparative survey. In Proceedings of the 2026 International Conference on Computing, Sciences and Communications (ICCSC 2026) (pp. 1–6). IEEE. https://doi.org/10.1109/ICCSC67078.2026.11468685

 Dahiya, M., Krishnan, S. B., & Rawat, A. (2026). GeoAI for solar energy optimisation: A state-wise suitability analysis of India. In Proceedings of the 2026 International Conference on Intelligent Computing and Automation for Sustainable Solutions (ICASS 2026) (pp. 1–6). IEEE. https://doi.org/10.1109/ICASS69550.2026.11547448