Engr. Shamotra Jai
| I am currently pursuing a PhD in Water Resources Management (Civil Engineering) at Swinburne University of Technology, Melbourne, Australia. I hold a bachelor’s degree in Civil Engineering from Quaid-e-Awam University of Engineering, Science and Technology, Nawabshah, and a master’s degree in Hydraulics, Irrigation, and Drainage Engineering from the US–Pakistan Center for Advanced Studies in Water at Mehran University of Engineering and Technology, Jamshoro. My academic training has provided me with strong expertise in integrated water resources management, hydrological modelling, experimental research, and data-driven analysis. I have professional experience as a WASH Engineer with the Research & Development Foundation (RDF), where I worked on water supply, sanitation, and hygiene projects in Hyderabad, including water quality analysis, monitoring and evaluation, and the design of rural water supply schemes. I am currently serving as an Assistant Professor in the Department of Civil Engineering Technology at Benazir Bhutto shaheed University of Technology and Skills Development (BBSUTSD), Khairpur Mir’s, Sindh, Pakistan. My research interests include Civil and environmental engineering, water resources management, climate change, irrigation engineering, and the application of machine learning and computational techniques for sustainable water and infrastructure systems. |
Registered Engineer Pakistan Engineering Council National Assessor (NAVTTC) : CBA/2019/947
Oad, S., & Imteaz, M. A. (2025). A novel forecasting of continuous monthly streamflow based on
lagged climate indices: uses of autoregressive integrated moving average and artificial neural
network techniques. Journal of Hydroinformatics, jh2025202.
Oad, S., Imteaz, M. A., & Mekanik, F. (2023). Artificial neural network (ANN)-based long-term
streamflow forecasting models using climate indices for three tributaries of Goulburn River,
Australia. Climate, 11(7), 152.
Dars, R., Qureshi, A.L., Jamali, M.A., Memon, H.A.S., Kori, S.M. and Oad, S., 2023. Subsurface
groundwater aquifer mapping and quality characterization in Matiari district, Sindh,
Pakistan. Environmental Monitoring and Assessment, 195(1), p.22.
Oad, S. & Imteaz, A. M. (2025). Comparative analysis of AI machine and deep learning
algorithms for longterm streamflow forecasting of Victorian River. Applied Water Science (Under Review).
Jakhrani, Shamotra., Kumar, A., Siddique, J. A., & Keryio, J. A. (2025). Effect of Tea Waste
Particles on Chloride Ion Penetration in Cement-Based Mortars. Journal of Asian Development
Studies, 14(1), 1185-1194.
Shamotra, & Imteaz, M. A. (2023, January). Developing an Artificial Intelligence-Based Monthly
Streamflow Forecasting Model. In International Conference on Communication and
Computational Technologies (pp. 367-379). Singapore: Springer Nature Singapore.
Oad, S., & Imteaz, M. A. (2023, November). Artificial neural network based long-term
streamflow forecasting of Goulburn River using different input predictors. In HWRS2023:
Hydrology & Water Resources Symposium (pp. 209-218). Sydney: Engineers Australia.
Oad, S. J., Maqsood, H., Qureshi, A. L., Ahmed, S., Channa, I. A., & Ali, M. I. (2019). Farm-based
Evaluation of Sustainable Alternative Irrigation Practices. Engineering, Technology & Applied
Science Research, 9(3), 4310-4314.
Mangnejo, D. A., Oad, S. J., Kalhoro, S. A., Ahmed, S., Laghari, F. H., & Siyal, Z. A. (2019).
Numerical Analysis of Soil Slope Stabilization by Soil Nailing Technique. Engineering, Technology
& Applied Science Research, 9(4), 4469-447.
Akhund, M. A., Sannd, A., Memon, U., & Oad, S. J. (2017). Utilization of Soft Drink Tins as Fiber
Reinforcement in Concrete. Engineering Science and Technology International Research Journal,
VOL.1, NO.2, JUN 2017, age, 1, 1-38.
ur Rehman, S., & Shamotra, S. A. (2021, March). Environmental Pollution from Waste Burning at
Low Temperature and Its Impacts on Air Quality. In BOOK OF ABSTRACTS (p. 259).
ur Rehman, S., Ahmed, S., & Oad, S. (2021, March). A New Hitch by Surgical Masks on
Environment due to Covid-19 Pandemic. In BOOK OF ABSTRACTS (p. 372).
Oad, S., & Imteaz, M. A. (2025, June). Comparative Analysis of K-Nearest Neighbors and Long
Short-Term Memory for monthly streamflow prediction. In HWRS2025: Hydrology & Water
Resources Symposium, ISBN: 978-1-925627-81-7. Sydney: Engineers Australia (Accepted).
Shamotra, & Imteaz, M. A. (2025). Long Term Streamflow Forecasting with Machine Learning
Algorithms: A Case Study of Goulburn River, Victoria, Australia, ASCE international Conference
on computing in Civil Engineering, Carnegie Mellon University Pittsburgh, Pennsylvania,USA (pro).
Asgher, A., Oad, S. (2017, November). Watershed Delineation of San Nai Basin Using GIS and RS
Technology. International Conference on Sustainable Development in Civil Engineering (ICSDC)
