PhD Student in Civil Engineering field of Water Resources Engineering & Management | Shiraz University | Researcher | Experienced Python Programming for ML Solutions
ISI Papers
- "Application of Machine Learning Models to Bridge Afflux Estimation", MDPI AG, (2023), Vol 15, No 12: 2187
- "Assessment of data-driven models for estimating total sediment discharge", Springer Science and Business Media LLC, (2023), Vol 16, No 3: 2795-2812
- "Assessment of XGBoost to Estimate Total Sediment Loads in Rivers", Springer Science and Business Media LLC, (2023), Vol 37, No 13: 5289-5306
- "A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River", MDPI AG, (2023), Vol 15, No 20: 3543
- "Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin", Springer Science and Business Media LLC, (2023), Vol 155, No 3: 1605-1624
- "New data-driven equation for estimating total sediment loads in rivers: application of the MHBMO algorithm", Springer Science and Business Media LLC, (2023), Vol 72, No 4: 2795-2814
- "Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy", IWA Publishing, (2023), Vol 15, No 1: 271-283
- "Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023)", Elsevier BV, (2024), Vol 174, No : 105971
- "Application of Machine Learning Models for Short-term Drought Analysis Based on Streamflow Drought Index", Springer Science and Business Media LLC, (2024), Vol , No :
- "Short-Term Drought Forecast across Two Different Climates Using Machine Learning Models", MDPI AG, (2024), Vol 11, No 10: 163
Conference Papers
- Comparative Analysis of Data-Driven Models for PredictingTotal Sediment Discharge: A Case Study of Kor and SivandRivers in Iran ارائه شده در The 14th National Congress of Civil Engineering (1403)
- Assessment of Data-Driven Models for EstimatingRelative Humidity, case study of Bajgah, Iran ارائه شده در 9th.International Congress on civil engineering, architecture and urban development (1402)
- Comparison between three ML models to estimatethe river’s total sediment loads ارائه شده در 5th International Conference on Engineering, Technology and Applied (1402)
- Comparison of four widely used empirical modelsfor estimating the total sediment loads in rivers ارائه شده در 5th International Conference on Engineering, Technology and Applied (1402)
Journal Papers
Education
- کارشناسی ارشد مهندسی عمران گرایش مهندسی آب و سازه های هیدرولیکی Shiraz University1400-1402
- کارشناسی علوم و مهندسی آب Shiraz University1396-1400