Academic Information
Ph.D.
Research Areas
Research Interests
Water Resources Engineering, Hydrology and Watershed Management, Groundwater Hydrology and Aquifer Modeling, Reference Evapotranspiration (ET‚ÇÄ) Modeling, Runoff Prediction and Hydrological Forecasting, Artificial Intelligence in Civil Engineering, Machine Learning and Deep Learning Applications, Soft Computing Techniques (ANN, ANFIS, Fuzzy Systems), Environmental Modeling and Sustainability
Courses Taught
Positions Held
Publications
[1] D. Ghose, U. Das, and P. Roy, “Modeling response of runoff and evapotranspiration for predicting water table depth in arid region using dynamic recurrent neural network,” Groundwater for Sustainable Development, vol. 6, pp. 263–269, 2018.
[2] U. K. Das, P. Roy, and D. K. Ghose, “Modeling water table depth using adaptive Neuro-Fuzzy Inference System,” ISH Journal of Hydraulic Engineering, vol. 25, no. 3, pp. 291–297, 2019.
[3] U. K. Das, S. Samantaray, D. K. Ghose, and P. Roy, “Estimation of aquifer potential using BPNN, RBFN, RNN, and ANFIS,” in Smart Intelligent Computing and Applications: Proceedings of the Second International Conference on Smart Intelligent Computing and Applications, 2018.
[4] S. Chauhan, A. S. Jethoo, and U. K. Das, “Duo satellite based surface temperature comparative study of Jaipur city using soft computing,” in Proc. 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON), 2023.
[5] Y. Ansari, D. Husain, U. K. Das, J. Haloi, N. A. Khan, R. Prakash, and M. Husain, “Ecological footprint assessment of concrete: Partial replacement of cement by water treatment sludge and stone dust,” Sustainability, vol. 15, no. 9, Art. no. 7512, 2023.
[6] S. Samantaray, A. Sahoo, N. R. Mohanta, P. Biswal, and U. K. Das, “Runoff prediction using hybrid neural networks in semi-arid watershed, India: A case study,” in Communication Software and Networks: Proceedings of INDIA 2019, pp. 729–736, 2020.
[7] S. Chauhan, A. S. Jethoo, and U. K. Das, “Land surface temperature prediction with dual satellites and BPNN: A comparative transfer function analysis,” Remote Sensing Letters, vol. 15, no. 3, pp. 233–244, 2024.
[8] C. Kumar, M. Kumar, U. K. Das, and S. Sharma, “Bibliometric analysis, physical properties, and experimental evaluation of additives-diesel ternary blends,” Environmental Science and Pollution Research, vol. 32, no. 52, pp. 29317–29329, 2025.
[9] M. Kumar, C. Kumar, U. K. Das, and S. Sharma, “Feasibility evaluation and numerical simulation of Diesel–Diethyl Ether–2–Methoxy Ethyl Ether blends fueling in stationary CI engine,” IOP Conference Series: Earth and Environmental Science, vol. 1279, no. 1, Art. no. 012014, 2023.
[10] Y. Ansari, D. Husain, S. M. Haadi, U. K. Das, J. Haloi, K. Iqbal, A. A. Usama, et al., “Ecological Footprint Assessment of Concrete Using e-Waste,” in Environmental Assessment of Recycled Waste, pp. 85–101, 2023.
[11] M. Kumar, C. Kumar, U. K. Das, P. Saraswat, and K. B. Rana, “A bibliometric review of alcohol–diesel blend in CI engines,” in Renewable Fuels for Sustainable Mobility, pp. 201–220, 2023.