Faculty

Core Research Domains:

• Soil Dynamics 
• Soil Stabilization
• Construction Technology & Management
• Geopolymer Concrete
• AI & Machine Learning in Civil Engineering

Research Focus:

• Ensemble & probabilistic models for liquefaction prediction
• Industrial waste-based soil stabilization
• Computer-vision-based construction safety (YOLOv11, CNN)
• Dynamic response of treated soils
• Sustainable Concrete Materials 

Journals and Conferences:

• Diksha, Reddy, N. D. K., Dev, N., & Goyal, P. K. (2026). Predictive modeling and multi-parameter optimization of geopolymer mixes using SVM-GA hybrid approach. Multiscale and Multidisciplinary Modeling, Experiments and Design, 9(1), 1-23.
• Reddy, N. D. K., Diksha., Gupta, A. K., & Sahu, A. K. (2025). Improving soil liquefaction prediction: A sophisticated ensemble classifier utilizing enhanced correlation features and a metaheuristic ant colony optimization approach. Engineering Geology, 108036. (Q1)
• Reddy, N. D. K., Diksha., Gupta, A. K., & Sahu, A. K. (2024). Evaluation of soil liquefaction potential using ensemble classifier based on grey wolves optimizer (GWO). Soil Dynamics and Earthquake Engineering, 182, 108750. (Q1)
• Reddy, N. D. K., Gupta, A. K., & Sahu, A. K. (2022). A novel soil liquefaction prediction model with intellectual feature extraction and classification. Advances in Engineering Software, 173, 103233. (Q1)
• Reddy, N. D. K., Gupta, A. K., & Sahu, A. K. (2023). Optimized ensemble-classification for prediction of soil liquefaction with improved features. Multimedia Tools and Applications, 82(20), 31467-31486. (Q1)
• Reddy, N. D. K., Gupta, A. K., & Sahu, A. K. (2024). Assessment of soil liquefaction potential using genetic programming using a probability-based approach. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 1-23. (Q3)
• Gnana Prasanna, G., Mahesh, V. Dinesh Kumar Reddy, N., & Tharun Kumar Maddileti (2025). An Experimental Study on the Effect of Geopolymeric Composite Reinforcement on Soil Subgrade for Flexible Pavements. Journal of Polymer & Composites, 13, 2.
• Philip, A. A., Reddy, N. D. K., & Gupta, A. K. (2024, March). Soil classification using machine learning. In AIP Conference Proceedings (Vol. 3072, No. 1). AIP Publishing. 
• Reddy, N. D. K., Gupta, A. K., & Sahu, A. K. (2024). The Adoption of Random Forest (RF) and Support Vector Machine (SVM) with Cat Swarm Optimization (CSO) to Predict the Soil Liquefaction. In Geomorphic Risk Reduction Using Geospatial Methods and Tools (pp. 309-325). Singapore: Springer Nature Singapore.
• Reddy, N. D. K., Gupta, A. K., & Sahu, A. K. (2022, October). The Adoption of Deep Belief Network Classifier with Shark Smell Optimizer to Predict the Soil Liquefaction. In International Conference on Recent Advances in Civil Engineering (Pp. 327-341). Singapore: Springer Nature Singapore.

FDPs & Workshops Attended:

• Attended One-week Faculty Development Program on application of AI-ML in civil engineering organized by the Department of Civil Engineering, KVR&JC, Guntur from November 2022.
• Attended One-week Faculty Development Program on NDRF organized by DTU, Delhi.
• Attended One-week Faculty Development Program on- Societal Application of Artificial intelligence and Machine Learning in Mechanical and Civil Engineering organized by Narsimha Reddy Engineering College (Autonomous) Hyderabad.
• Attended Five Days Faculty Development Program on 2nd Series pf Geotechnical Engineering Practices and its Sustainable development organized by Ballari Institute of technology & management, Ballari 
• Attended One-week Faculty Development Program on- GREEN SOLUTIONS FOR SMART INFRASTRUCTURE DEVELOPMENT’ organized by Geethanjali College of Engineering and Technology, Hyderabad.