Kala Venkata Uday

Bashir, M., Uday, K. V., & Annachhatre, A. P. (2026). Microbially induced calcite precipitation for stabilisation and solidification of copper loaded biochar. International Journal of Environment and Waste Management, 39(1), 84–102. https://doi.org/10.1504/ijewm.2026.151368

Sankhyan, S., Uday, K. V., & Dutt, V. (2026). Bridging traditional and conventional knowledge for soil classification in landslide-prone areas using exploratory factor analysis. Frontiers in Environmental Science, 13, 1730654. https://doi.org/10.3389/fenvs.2025.1730654

Chand, M., Uday, K. V., & Dutt, V. (2026). ADASEL: an attention-based adaptive stacked ensemble learning framework for landslide prediction in complex geophysical systems. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-026-02456-4

Kumar, S., Chand, M., Uday, K. V., & Dutt, V. (2026). X-SEL: a stacked ensemble learning architecture for forecasting soil slide displacement in flume simulations. Geoenvironmental Disasters, 13(1), 54. https://doi.org/10.1186/s40677-026-00400-9

Chand, M., Uday, K. V., & Dutt, V. (2026). LogISEL: an interpretable ensemble framework for real-time landslide prediction in the Indian Himalayas. Geoscience Letters, 13(1), 34. https://doi.org/10.1186/s40562-026-00477-y

Chauhan, C., Suresh, D., & Uday, K. V. (2026). Tensile Strength Enhancement of Soils Using Fiber and Biocementation: Effects of Treatment Method and Biotreated Fibers. Journal of Materials in Civil Engineering, 38(10), 04026359. https://doi.org/10.1061/jmcee7.mteng-23276

Singh, A., Choudhary, G., Uday, K. V., & Dutt, V. (2026). Farmers’ adaptation and mitigation choices under climate change: evidence from a mixed-methods survey in the Western Himalayas. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-08909-y

Sharma, S., Barbhuiya, S., Das, S., Gupta, V., & Uday, K. V. (2026). Dynamic modelling of landslide susceptibility in response to hydro-meteorological variability in the Himalayas. Scientific Reports, 16(1), 19885. https://doi.org/10.1038/s41598-026-43919-5

Sankhyan, S., Sharma, S., pohal, S., Uday, K. V., & Dutt, V. (2026). SFEL a machine learning framework for forecasting radar backscatter based ground deformation. Scientific Reports, 16(1), 7626. https://doi.org/10.1038/s41598-026-37619-3

Tiwari, A. K., Sana, E., Kumar, A., & Uday, K. V. (2025). Field, experimental and numerical study for landslide mitigation in Himachal Pradesh, India: Case study. Bulletin of Engineering Geology and the Environment, 84(4), 186. https://doi.org/10.1007/s10064-025-04207-0

Kumar, S., Chauhan, C., Chauhan, T., Gupta, V., & Uday, K. V. (2025). Integrated image processing and machine learning framework for precise quantification and prediction of soil erosion. The Visual Computer, 41(11), 8181–8193. https://doi.org/10.1007/s00371-025-03863-3

Sana, E., Kritika, Kumar, A., Robson, E., Prasanna, R., Kala, U., & Toll, D. G. (2025). Investigation of landslides triggered by unprecedented rainfall events during 2023 monsoon in Himachal Pradesh, India. Landslides, 22(5), 1529–1550. https://doi.org/10.1007/s10346-025-02471-5

Chauhan, C., & Uday, K. V. (2025). Multiparameter study of shear strength improvement near-surface by vegetation roots and fibers. Arabian Journal of Geosciences, 18(1), 25. https://doi.org/10.1007/s12517-024-12170-5

Sankhyan, S., Kumar, A., Kumar, P., Sharma, A., Uday, K. V., & Dutt, V. (2025). FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features. Scientific Reports, 15(1), 29742. https://doi.org/10.1038/s41598-025-12932-5

Kumar, P., Priyanka, P., Uday, K. V., & Dutt, V. (2025). Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder. Scientific Reports, 15(1), 13801. https://doi.org/10.1038/s41598-025-97147-4

Suresh, D., & Uday, K. V. (2025). Evaluating the Performance of Sand–Geotextile Biocemented Interfaces. Journal of Materials in Civil Engineering, 37(4), 06025001. https://doi.org/10.1061/jmcee7.mteng-19052

Mehra, A., Devi, A., Kumar, A., Aggarwal, P., Uday, K. V., & Dutt, V. (2025). Virtual Reality Meets Landslides: Understanding Human Responses to Improve Disaster Readiness. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 69(1), 704–709. https://doi.org/10.1177/10711813251369489

Suresh, D., & Uday, K. V. (2024). Improvement of Sand-Geotextile Interface Characteristics by Biocementation Processes. International Journal of Geosynthetics and Ground Engineering, 10(5), 77. https://doi.org/10.1007/s40891-024-00589-5

Priyanka, P., Kumar, P., Panda, S., Thakur, T., Uday, K. V., & Dutt, V. (2024). Can machine learning models predict soil moisture evaporation rates? An investigation via novel feature selection techniques and model comparisons. Frontiers in Earth Science, 12, 1344690. https://doi.org/10.3389/feart.2024.1344690

Chauhan, T., Sharma, S., Kumar, P., Kumar, A., Uday, K. V., & Dutt, V. (2024). Non-Structural Landslide Risk Mitigation: Schemes, Application and Case Studies. Indian Geotechnical Journal, 54(5), 1960–1972. https://doi.org/10.1007/s40098-024-00996-5

Suresh, D., & Uday, K. V. (2024). A comparative study of various parameters influencing biocalcification via ureolysis mediated by enzyme and microbe: A comprehensive review. Geomicrobiology Journal, 41(1), 17–34. https://doi.org/10.1080/01490451.2023.2283419

Sana, E., Kumar, A., Robson, E., Prasanna, R., Kala, U., & Toll, D. G. (2024). Preliminary assessment of series of landslides and related damage by heavy rainfall in Himachal Pradesh, India, during July 2023. Landslides, 21(4), 919–931. https://doi.org/10.1007/s10346-023-02209-1

Semwal, T., Chauhan, C., Uday, K. V., & Masakapalli, S. K. (2024). Framework for Selection and Spatial Distribution of Himalayan Indigenous Vegetation Community for Slope Protection. Available at SSRN 4845846. https://doi.org/10.2139/ssrn.4845846

Chauhan, C., Singh, M., Vinayak, A. B., & Uday, K. V. (2024). Quantification of the effectiveness of mitigation measures on erosion potential of soil with image analysis. Journal of Soils and Sediments, 24(1), 98–110. https://doi.org/10.1007/s11368-023-03598-5

Thakur, T., Chaudhary, V., & Uday, K. V. (2023). Multiparameter Experimental Study on the Factor Contributions of Micropile Uplift Capacity Using Taguchi Approach. International Journal of Geosynthetics and Ground Engineering, 9(4), 51. https://doi.org/10.1007/s40891-023-00468-5

Kumar, P., Priyanka, P., Dhanya, J., Uday, K. V., & Dutt, V. (2023). Analyzing the Performance of Univariate and Multivariate Machine Learning Models in Soil Movement Prediction: A Comparative Study. IEEE Access, 11, 62368 – 62381. https://doi.org/10.1109/access.2023.3287851

Pathania, A., Kumar, P., Priyanka, N. A., Maurya, A., Kumar, M., Chaturvedi, P., Singh, R., Uday, K. V., & Dutt, V. (2022). Predictions of soil movements using persistence, auto-regression, and neural network models: a case-study in Mandi, India. International Journal of Swarm Intelligence, 7(1), 94–109. https://doi.org/10.1504/ijsi.2022.121100

Mali, N., Shukla, D. P., & Kala, V. U. (2022). Identifying Geotechnical Characteristics for Landslide Hazard Indication: A Case Study in Mandi, Himachal Pradesh, India. Arabian Journal of Geosciences, 15(2), 144. https://doi.org/10.1007/s12517-022-09475-8

Semwal, T., & Uday, K. V. (2022). Multi-dimensional Measurement-Based Approaches for Evaluating the Root Area Ratio of Plant Species. International Journal of Geosynthetics and Ground Engineering, 8(1), 15. https://doi.org/10.1007/s40891-022-00357-3

Mori, D., & Venkata Uday, K. (2022). Enhancing Soil Strength at Targeted Calcite Content via Optimizing Chemical Application Parameters Using Taguchi Method for Biocementation. Journal of Geotechnical and Geoenvironmental Engineering, 148(6), 04022031. https://doi.org/10.1061/(asce)gt.1943-5606.0002805

Mali, N., Dutt, V., & Uday, K. V. (2021). Determining the Geotechnical Slope Failure Factors via Ensemble and Individual Machine Learning Techniques: A Case Study in Mandi, India. Frontiers in Earth Science, 9, 701837. https://doi.org/10.3389/feart.2021.701837

Singh, A., Keshri, A. K., Rawat, S. S., Swami, D., Uday, K. V., & Prasad, A. (2021). Identification and characterization of colistin-resistant E. coli and K. pneumoniae isolated from Lower Himalayan Region of India. SN Applied Sciences, 3(6), 615. https://doi.org/10.1007/s42452-021-04596-3

Mori, D., & Uday, K. V. (2021). A review on qualitative interaction among the parameters affecting ureolytic microbial-induced calcite precipitation. Environmental Earth Sciences, 80(8), 329. https://doi.org/10.1007/s12665-021-09613-7

Kumar, P., Sihag, P., Sharma, A., Pathania, A., Singh, R., Chaturvedi, P., Mali, N., Uday, K. V., & Dutt, V. (2021). Prediction of Real-World Slope Movements via Recurrent and Non-recurrent Neural Network Algorithms: A Case Study of the Tangni Landslide. Indian Geotechnical Journal, 51(4), 788–810. https://doi.org/10.1007/s40098-021-00529-4

Kumar, P., Sihag, P., Chaturvedi, P., Uday, K. V., & Dutt, V. (2021). BS-LSTM: An Ensemble Recurrent Approach to Forecasting Soil Movements in the Real World. Frontiers in Earth Science, 9, 696792. https://doi.org/10.3389/feart.2021.696792

Ramakrishnan, B., Venkat Kiran, K. U., Rangari, P., Prajapati, A., Firdouz, Z., Jugunta, T., Kumar, B. U., Srivastav, A., Sunil, B. R., & Dumpala, R. (2019). Tribological and Morphological Evaluation of Ni-P and Ni-P/D Coatings. Materials Science Forum, 969, 73–79. https://doi.org/10.4028/www.scientific.net/msf.969.73

Naveena, B., Suresh, K., Uday, K. V., & Jyothi, V. N. R. (2015). Study on methods of drying on soils. International Journal of Innovative Research in Science, Engineering and Technology, 4(6), 4609–4616. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=dcVR4m0AAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=dcVR4m0AAAAJ:M3ejUd6NZC8C

Teja, P. R. K., Suresh, K., & Uday, K. V. (2015). Effect of Curing Time on Behaviour and Engineering Properties of Cement Treated Soils. International Journal of Innovative Research in Science, Engineering and Technology, 4(6), 4649–4657. https://doi.org/10.15680/ijirset.2015.0406105

Uday, K. V., Prathyusha, J. N. V., Singh, D. N., & Apte, P. R. (2015). Application of the Taguchi Method in Establishing Criticality of Parameters that Influence Cracking Characteristics of Fine-Grained Soils. Drying Technology, 33(9), 1138–1149. https://doi.org/10.1080/07373937.2015.1015032

Kumar, B. N., Smitha, J., Uday, K. V., & Student, P. G. (2015). Effect of salinity on geotechnical properties of expansive soils. International Journal of Innovation Research in Science, Engineering and Technology, 4(7). http://www.ijirset.com/upload/2015/july/115_36_Effect.pdf

Rathnam, C. A., Suresh, K., & Uday, D. K. V. (2015). Shear strength behaviour of sand clay mixture. International Journal of Innovative Research in Science, Engineering and.

Poojari, S. S., & Uday, K. V. (2014). PRT Systems. International Journal. of Earth Sciences and Engineering, 7(4). https://www.academia.edu/download/52230258/SPL02070433.pdf

Uday, K. V., Jayanthi, P. N. V., & Singh, D. N. (2014). A Generalized Relationship for Determination of Tensile Strength of Fine-Grained Soils from Shrinkage Characteristics. Drying Technology, 32(7), 869–876. https://doi.org/10.1080/07373937.2013.873804

Uday, K. V., & Singh, D. N. (2013). Investigation on Cracking Characteristics of Fine-Grained Soils Under Varied Environmental Conditions. Drying Technology, 31(11), 1255–1266. https://doi.org/10.1080/07373937.2013.785433

Uday, K. V., Padmakumar, G. P., & Singh, D. N. (2013). Some studies on morphology of the coarse-grained soils. Engineering Geology, 152(1), 48–55. https://doi.org/10.1016/j.enggeo.2012.10.001

Uday, K. V., & Singh, D. N. (2012). Application of Laser Microscopy for Studying Crack Characteristics of Fine-Grained Soils. Geotechnical Testing Journal, 36(1), 1–9. https://doi.org/10.1520/gtj20120004

Padmakumar, G. P., Srinivas, K., Uday, K. V., Iyer, K. R., Pathak, P., Keshava, S. M., & Singh, D. N. (2012). Characterization of aeolian sands from Indian desert. Engineering Geology, 139, 38–49. https://doi.org/10.1016/j.enggeo.2012.04.005

Shinde, S. B., Kala, V. U., Kadali, S., Tirumkudulu, M. S., & Singh, D. N. (2011). A novel methodology for measuring the tensile strength of expansive clays. Geomechanics and Geoengineering: An International Journal, 7(1), 15–25. https://doi.org/10.1080/17486025.2011.599867

Mehra, A., Kumar, A., Agarwal, K., Uday, K. V., & Dutt, V. (2026). Calm but Alert: Neurofeedback Enhances Stability in Virtual Reality Landslide Driving. In 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 180–185). https://doi.org/10.1109/vrw70859.2026.00039

Chauhan, T., Thakur, V., & Uday, K. V. (2026). Probabilistic framework for enhanced Landslide Susceptibility Mapping for Rainfall-Induced Landslides. In EGU26. https://doi.org/10.5194/egusphere-egu26-21883

Mehra, A., Devi, A., Sharma, A., Rana, S., Kumar, S., Uday, K., & Dutt, V. (2025). Investigating Behavioral and Neurophysiological Responses Across Landslide Scenarios in Virtual Reality. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies (pp. 949–956). https://doi.org/10.5220/0013253000003911

Mehra, A., Kumar, A., Devi, A., Uday, K. V., & Dutt, V. (2025). Virtual reality Simulation of Landslide Risk: Investigating Behavioral and Neurophysiological Responses to Warning Systems *. In 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3572–3577). https://doi.org/10.1109/smc58881.2025.11342570

Vasudev, T., Ranga, S., Kumar, P., Sankhyan, S., Uday, K. V., & Dutt, V. (2025). AERIS: Interpretable Stacked Ensemble with IoT Sensing for Proactive Humidity Prediction in Medical Logistic. In 2025 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (pp. 1–8). https://doi.org/10.1109/3ict68299.2025.11442113

Mehra, A., Devi, A., Kumar, A., Rana, S., Kumar, S., Uday, K. V., & Dutt, V. (2025). Virtual reality in crisis: How perceived risk and warning accuracy shape behavior in landslide scenarios. In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (pp. 687–694). https://doi.org/10.1109/vrw66409.2025.00140

Priyanka, P., Kumar, P., Uday, K. V., & Dutt, V. (2024). Improving Landslide Prediction through LSTM Networks and Antecedent Rainfall: A Case Study in Kamand Valley, India. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1–5). https://doi.org/10.1109/icccnt61001.2024.10724729

Chauhan, C., & Uday, K. V. (2024). Effects of Bio-enzyme in Soil Stabilization. In Indian Geotechnical Conference (pp. 265–274). https://doi.org/10.1007/978-981-97-1745-3_23

Kumar, P., Priyanka, P., Uday, K. V., & Dutt, V. (2023). Addressing Class Imbalance in Soil Movement Predictions. In EGUsphere (pp. 1–16). https://doi.org/10.5194/egusphere-2023-1417

Kothiala, A., Nayek, P. S., Gade, M., & Kala, U. V. (2023). Seismic Landslide Hazard Assessment of Mandi Town, Himachal Pradesh. In Symposium in Earthquake Engineering (pp. 257–267). https://doi.org/10.1007/978-981-99-1459-3_21

Priyanka, P., Kumar, P., Kala, U., & Dutt, V. (2023). Enhancing landslide prediction in the himalayan region using machine learning models and antecedent rainfall data: A case study of Kamand Valley, Himachal Pradesh, India. In 9th International Congress on Information and Communication Technology.

Priyanka, Kumar, P., Chaturvedi, P., Uday, K. V., & Dutt, V. (2023). Data-Driven Approach for Predicting Surface Subsidence Velocity from Geotechnical Parameters. In International Advanced Computing Conference (pp. 64–81). https://doi.org/10.1007/978-3-031-35641-4_5

Chauhan, C., Semwal, T., & Uday, K. V. (2022). Study of Soil Erosion Process in Laboratory Flume Experiments. In Indian Geotechnical Conference (pp. 297–307). https://doi.org/10.1007/978-981-19-6774-0_28

Semwal, T., Priyanka, P., Kumar, P., Dutt, V., & Uday, K. V. (2022). Predictions of Root Tensile Strength for Different Vegetation Species Using Individual and Ensemble Machine Learning Models. In International Conference on Trends on Construction in the Post-Digital Era (pp. 87–100). https://doi.org/10.1007/978-3-031-20241-4_7

Kumar, P., Priyanka, Uday, K. V., & Dutt, V. (2022). DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction. In International Advanced Computing Conference (pp. 35–49). https://doi.org/10.1007/978-3-031-35644-5_4

Priyanka, Kumar, P., Devi, A., Akshay, K., Gaurav, G., Uday, K. V., & Dutt, V. (2022). Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi. In International Advanced Computing Conference (pp. 106–118). https://doi.org/10.1007/978-3-031-35644-5_9

Thakur, V., Robinson, K., Oguz, E., Depina, I., Pathania, A., Kumar, P., Chaturvedi, P., Uday, K. V., & Dutt, V. (2021). Early Warning of Water-Triggered Landslides. In Indian Geotechnical Conference 2019: Geotechnics for INfrastructure Development & UrbaniSation (GeoINDUS) (pp. 139–150). https://doi.org/10.1007/978-981-33-6590-2_11

Pathania, A., Kumar, P., Priyanka, Maurya, A., Uday, K. V., & Dutt, V. (2021). Development of an Ensemble Gradient Boosting Algorithm for Generating Alerts About Impending Soil Movements. In Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication: Proceedings of MDCWC 2020 (pp. 365–379). https://doi.org/10.1007/978-981-16-0289-4_28

Mori, D., Jyoti, P., Thakur, T., Masakapalli, S. K., & Uday, K. V. (2020). Influence of Cementing Solution Concentration on Calcite Precipitation Pattern in Biocementation. In Advances in Computer Methods and Geomechanics: IACMAG Symposium 2019 Volume 1 (pp. 737–746). https://doi.org/10.1007/978-981-15-0886-8_59

Semwal, T., Mali, N., Masakapalli, S. K., & Uday, K. V. (2020). Effect of Plant Roots on Permeability of Soil. In Geotechnical Characterization and Modelling: Proceedings of IGC 2018 (pp. 343–352). https://doi.org/10.1007/978-981-15-6086-6_27

Kumar, P., Priyanka, Pathania, A., Agarwal, S., Mali, N., Singh, R., Chaturvedi, P., Uday, K. V., & Dutt, V. (2020). Predictions of Weekly Slope Movements Using Moving-Average and Neural Network Methods: A Case Study in Chamoli, India. In Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 2 (pp. 67–81). https://doi.org/10.1007/978-981-15-3287-0_6

Pathania, A., Kumar, P., Sihag, P., Chaturvedi, P., Singh, R., Uday, K. V., & Dutt, V. (2020). A low-cost, sub-surface IoT framework for landslide monitoring, warning, and prediction. In Proceedings of 2020 International conference on advances in computing.

Pathania, A., Sihag, P., Chaturvedi, P., Bora, R. S., Kumar, P., Dutt, V., & Uday, K. V. (2020). A lowcost, sub-surface iot framework for landslide monitoring, warning, and prediction. In Proceedings of 2020 International conference on advances in computing, communication, embedded and secure systems. https://www.researchgate.net/publication/339850328_

Thakur, T., Mori, D., Sharma, P., Kapoor, S., & Uday, K. V. (2020). Interface Behavior Between Soil and Different Surface Textures. In Geotechnical Characterization and Modelling: Proceedings of IGC 2018 (pp. 353–364). https://doi.org/10.1007/978-981-15-6086-6_28

Mali, N., Semwal, T., Kadian, K., Sharma, M., & Uday, K. V. (2020). Effect of Drying and Wetting of Shear Strength of Soil. In Problematic Soils and Geoenvironmental Concerns: Proceedings of IGC 2018 (pp. 27–34). https://doi.org/10.1007/978-981-15-6237-2_3

Kumar, P., Sihag, P., Pathania, A., Agarwal, S., Mali, N., Singh, R., Chaturvedi, P., Uday, K. V., & Dutt, V. (2019). Predictions of Weekly Soil Movements Using Moving-Average and Support-Vector Methods: A Case-Study in Chamoli, India. In International Conference on Information technology in Geo-Engineering (pp. 393–405). https://doi.org/10.1007/978-3-030-32029-4_34

Agarwal, S., Mali, N., Pathania, A., Sihag, P., Chaturvedi, P., Bora, R. S., Kumar, P., Dutt, V., & Uday, K. V. (2019). Landslide debris-flow prediction using ensemble and non-ensemble machine-learning methods. In International Conference on Time Series and Forecasting. https://inis.iaea.org/search/52034320

Pathania, A., Kumar, P., Kesri, J., Priyanka, Agarwal, S., Mali, N., Singh, R., Chaturvedi, P., Uday, K. V., & Dutt, V. (2019). Reducing Power Consumption of Weather Stations for Landslide Monitoring. In International Conference on Information technology in Geo-Engineering (pp. 144–158). https://doi.org/10.1007/978-3-030-32029-4_13

Mali, N., Chaturvedi, P., Dutt, V., & Kala, V. U. (2018). Training of sensors for early warning system of rainfall-induced landslides. In Conference of the Arabian Journal of Geosciences, 449-452.

Agrawal, K., Agrawal, S., Chaturvedi, P., Mali, N., Kala, V. U., & Dutt, V. (2017). Minute-scale prediction of soil movement using machine-learning techniques. In Indian landslide congress.

Tarun, S., Naresh, M., Manushree, V., Masakapalli, S. K., & Uday, K. V. (2017). Study of mechanical characteristics of plant roots for soil stability. In Proceedings of IGC. Springer Special Publication, IIT Guwahati.

Agrawal, K., Baweja, Y., Dwivedi, D., Saha, R., Prasad, P., Agrawal, S., Kapoor, S., Chaturvedi, P., Mali, N., Kala, V. U., & Dutt, V. (2017). A comparison of class imbalance techniques for real-world landslide predictions. In 2017 International Conference on Machine Learning and Data Science (MLDS) (pp. 1–8). https://doi.org/10.1109/mlds.2017.21

Ma, N., & Uday, K. V. (2016). STUDY ON EFFECT OF HORIZONTAL DRAINS ON SLOPE STABILITY. In International Geotechnical Engineering Conference on Sustainability in Geotechnical Engineering Practices and Related Urban Issues. https://www.researchgate.net/publication/339498838

Teja, P. R. K., Suresh, K., & Uday, K. V. (2015). Study on the curing time effect on UCC strength and variation in engineering properties of cement treated soils. In 50th Indian geotechnical conference (pp. 17–19).

Ranga, S., Vasudev, T., Sankhyan, S., Kumar, P., Uday, K. V., & Dutt, V. (2026). X-STEP: A Stacked XGBoost Model for High-Precision Temperature Prediction in Medical Logistics. In Lecture Notes in Networks and Systems (pp. 435–444). Springer Nature Singapore. https://doi.org/10.1007/978-981-95-2872-1_31

Kumar, S., Sharma, S., Uday, K. V., & Dutt, V. (2026). Development of a Scheme of Sensors for Recording Soil-Movement Profiles in Landslide-Prone Regions in the Himalayas. In Lecture Notes in Civil Engineering (pp. 207–218). Springer Nature Singapore. https://doi.org/10.1007/978-981-95-6782-9_15

Yadav, P., Prasad, A., & Uday, K. V. (2025). Variations in Mechanical Strength of Enzymatically Induced Calcite. In Lecture Notes in Civil Engineering (pp. 111–118). https://doi.org/10.1007/978-3-032-15832-1_11

Sankhyan, S., Chand, M., Kumar, P., Uday, K. V., & Dutt, V. (2025). Smart Landslide Monitoring and Warning Systems with IoT Technologies. In Internet of Things A to Z: Technologies and Applications, 345-367 (pp. 345–367). https://doi.org/10.1002/9781394280490.ch14

Suresh, D., Yadav, P., & Uday, K. V. (2025). Optimization of Medium for S. pasteurii Bacterium and Performance Comparison with Plant Urease for Geotechnical Applications. In Lecture Notes in Civil Engineering (pp. 11–20). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-1873-6_2

Mehra, A., Devi, A., Sharma, A., Rana, S., Kumar, S., Uday, K. V., & Dutt, V. (2025). Investigating Behavioral Responses Across Landslide Scenarios in Virtual Reality. In Lecture Notes in Networks and Systems (pp. 103–114). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-6429-0_9

Vasudev, T., Ranga, S., Sankhyan, S., Kumar, P., Uday, K. V., & Dutt, V. (2025). XEMST: Revolutionizing Smart Medical Logistics with Advanced Humidity Prediction Through Stacking Ensemble Models. In Lecture Notes in Networks and Systems (pp. 241–251). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-6432-0_19

Sankhyan, S., Kumar, P., Priyanka, Uday, K. V., & Dutt, V. (2025). MultiModel and Multi-step LSTM Model for Landslide Prediction. In Lecture Notes in Networks and Systems (pp. 243–252). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-6935-6_21

Chauhan, C., & Uday, K. V. (2025). Effect of Fiber Reinforcement on Tensile Strength of Soil. In Lecture Notes in Civil Engineering (pp. 187–195). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-7771-9_14

Shivani, Chaunhan, C., & Uday, K. V. (2025). Factors Contributing to Sediment Particle Size During Soil Erosion in the Laboratory Flume Experiments. In Lecture Notes in Civil Engineering (pp. 211–217). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-7771-9_16

Kumar, V., Thakur, G., Sohil, A., Kaplesh, A., Sharma, K., & Uday, K. V. (2025). Conversion Factor Development for Comparative Infiltration Analysis of Downscaled Double-Ring Infiltrometer. In Lecture Notes in Civil Engineering (pp. 259–268). Springer Nature Singapore. https://doi.org/10.1007/978-981-96-7799-3_20

Ranga, S., Vasudev, T., Kumar, P., Sankhyan, S., Kumar, Y., Uday, K. V., & Dutt, V. (2025). IoT‑MediGuard: An advanced monitoring and predictive analytics system for transportation of medical supplies. In Advances in Internet of Things: Challenges, solutions, and emerging.

Kumar, P., Husain, A., Priyanka, P., Kumar, A., Sankhyan, S., Uday, K. V., & Dutt, V. (2025). GeoSense: A Smart IoT-Driven Framework for Landslide Monitoring in the Himalayas. In Advances in the Internet of Things, 146-164.

Kothiala, A., Grewal, S., & Uday, K. V. (2025). Collapse and Permeability Behaviour of Unsaturated Fly Ash. In Lecture Notes in Civil Engineering (pp. 35–43). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-9823-0_4

Kumar, P., Priyanka, P., Uday, K. V., & Dutt, V. (2024). Predictive modelling of Himalayan soil movement: addressing imbalance with synthetic variational autoencoder data in Kamand Valley. In Lecture Notes in Networks and Systems (pp. 137–147). https://doi.org/10.1007/978-981-97-3299-9_11

Mori, D., & Uday, K. V. (2024). Innovations toward bio-brick. In Sustainable Materials in Civil Infrastructure (pp. 203–213). Elsevier. https://doi.org/10.1016/b978-0-443-16142-1.00012-4

Semwal, T., & Uday, K. V. (2024). Evaluation of Equivalent Peak Load for a Plant Species Using Root Perpendicular Model and Fiber Bundle Model. In Lecture Notes in Civil Engineering (pp. 81–89). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-3393-4_7

Dhanasree Suresh, Uday, K. V., & Sharma, M. (2024). Effect of Microbially Induced Calcite Precipitation on Clayey Soil. In Lecture Notes in Civil Engineering (pp. 117–125). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-2704-9_12

Sharma, S., Mali, N., & Kala, V. U. (2023). A Concise Review of State-of-the-Art on Landslide Monitoring and Warning System in India. In Lecture Notes in Civil Engineering (pp. 197–206). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-7245-4_18

Kumar, P., Sihag, P., Pathania, A., Chaturvedi, P., Uday, K. V., & Dutt, V. (2020). Comparison of Moving-Average, Lazy, and Information Gain Methods for Predicting Weekly Slope-Movements: A Case-Study in Chamoli, India. In Understanding and Reducing Landslide Disaster Risk (pp. 321–330). Springer International Publishing. https://doi.org/10.1007/978-3-030-60311-3_38

Semwal, T., Masakapalli, S. K., & Kala, V. U. (2018). Root morphology and mechanical characteristics of Himalayan (Indian) native plant species. In Environmental Science and Engineering (pp. 385–392). https://doi.org/10.1007/978-981-13-2227-3_48

Chaturvedi, P., Thakur, K. K., Mali, N., Kala, V. U., Kumar, S., Yadav, S., & Dutt, V. (2018). A low‐cost IoT framework for landslide prediction and risk communication. In Internet of Things A to Z: technologies and applications, 593-610 (pp. 593–610). https://doi.org/10.1002/9781119456735.ch21

Naresh, M., & Uday, K. V. (2018). Cracking Characteristics of Cemented Fiber Reinforced Fine-Grained Soils. In PanAm Unsaturated Soils 2017 (pp. 323–331). American Society of Civil Engineers. https://doi.org/10.1061/9780784481707.032