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| Seyed Mohammad Ashrafi |
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| Assistant Professor, Department of Civil Engineering, Shahid Chamran University of Ahvaz, Ahvaz |
| PhD Student |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=686 |
| Short Biography |
| Seyed Mohammad Ashrafi received his B.Sc. degree in 2002 from Shahid Chamran University, Ahwaz, Khozestan, Iran, in Civil Engineering. He received his master’s degree in 2007 and his PhD degree in February 2013 in Civil Engineering (Water Resources Planning and Management) from K.N. Toosi University of Technology (KNTU), Tehran, Iran. A new and effective improved version of Harmony Search algorithm named Melody Search (MeS) has been proposed through his PhD thesis and applied to derive operation policy of multi-reservoir systems. Dr. Ashrafi is currently working as an assistant professor in department of civil engineering, faculty of engineering, Shahid Chamran University of Ahvaz. He is an expert in the field of Water Resources Engineering, and he is experienced in soft computing applications in engineering problems. His current interests (in the field of artificial intelligence) include heuristic optimization methods, multi-objective optimization, algorithm adaptation and applied artificial intelligence in water resources planning. He has the experience of teaching BSc, and MSc students of Civil Engineering as a faculty member since 2008. |
| List of top 5 publications in the last 5 years |
- Mostaghimzadeh, E., Ashrafi, S. M., Adib, A., & Geem, Z. W. (2021). Investigation of Forecast Accuracy and its Impact on the Efficiency of Data-Driven Forecast-Based Reservoir Operating Rules. Water, 13(19), 2737. - Ashrafi, S. M., & Mahmoudi, M. (2021). Decentralized calibration process for distributed water resources systems using the self-adaptive multi-memory melody search algorithm. Journal of Hydroinformatics, 23(5), 966–984. - Ashrafi, S.M. (2021). Two-Stage Metaheuristic Mixed Integer Nonlinear Programming Approach to Extract Optimum Hedging Rules for Multireservoir Systems. Journal of Water Resources Planning and Management, 147(10), 04021070. - Ashrafi, S. M., Gholami, H., & Najafi, M. R. (2020). Uncertainties in runoff projection and hydrological drought assessment over Gharesu basin under CMIP5 RCP scenarios. Journal of Water and Climate Change, 11(S1), 145-163. - Ashrafi, S. M., Mostaghimzadeh, E., & Adib, A. (2020). Applying wavelet transformation and artificial neural networks to develop forecasting-based reservoir operating rule curves. Hydrological Sciences Journal, 65(12), 2007-2021. |
| List of top 5 academic activities during the last 5 years |
- Jun. 2007, 1st Ranking in Entrance Exam for the vacant PhD position in Water Engineering (written and oral exams), Faculty of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran. - Faculty member of Shahid Chamran University of Ahvaz, Department of Civil Engineering, Faculty of Engineering. - Outstanding Reviewer of Applied Soft Computing (ASOC), The Official Journal of the World Federation on Soft Computing (WFSC), Elsevier. - Outstanding Reviewer of Engineering Applications of Artificial
Intelligence (EAAI).The International Journal of Intelligent Real-Time
Automation, Elsevier. - Reviewer of Water Resources Management. An International Journal Published for the European Water Resources Association (EWRA), Springer. |