Mahsa Hasanpour Kashani
Mahsa Hasanpour Kashani
Assistant Professor
Faculty of Agriculture and Natural Resources
Department of Water Engineering
Phone: داخلی 5075
Email: m.hkashani@uma.ac.ir
ORCID: https://orcid.org/my-orcid?orcid=0000-0001-8177-4320
201120122013201420152016201720182019202020212022202320242025715252331425374102159205243240256205
AllSince 2020
Citations16941309
h-index1919
i10-index2823

Field: water engineering - water resources orientation


Bachelor's degree: Tabriz University

Master's course: Urmia University

Specialized Doctoral Course: Tabriz University

Knowledge of Turkish-Persian-English-Arabic languages


Teaching at Maragheh National University: 1391-94

Teaching at Mohaghegh Ardabili University: 2015 until now


Education

Awards

Memberships

Fields of Interest

Hydrology- Intelligent systems

59 - E Mirzania, MH Kashani, G Golmohammadi, OR Ibrahim, M Saroughi,Hybrid COOT-ANN: a novel optimization algorithm for prediction of daily crop reference evapotranspiration in Australia,2023
58 - H Norouzzadeh, MH Kashani, A Rasoulzadeh,Evaluation of Elasticity-Based Methods in Estimating Contribution of Climate Change and Human Activities on Rivers' Discharge (Case Study: Gharehsoo River).,2023
57 - E Mirzania, T Roshni, MH Kashani, B Bickici, OR Ibrahim,Forecasting of lake water level based on a hybrid model of innovative gunner algorithm,2023
56 - BG Mamo, J Novotný, A Admasie,corrected Proof,2023
55 - A Moghaddam Nia, D Misra, MH Kashani, M Ghafari, M Sahoo, M Ghodsi, ...,Runoff and Sediment Yield Processes in a Tropical Eastern Indian River Basin: A Multiple Machine Learning Approach,2023
54 - R Daneshfaraz, CAG Santos, R Norouzi, MH Kashani, M AmirRahmani, ...,Prediction of drop relative energy dissipation based on Harris Hawks Optimization algorithm,2023
53 - L Wang, G Zhang, X Yin, H Zhang, MH Kashani, T Roshni, SG Meshram,Hybrid model of support vector regression and innovative gunner optimization algorithm for estimating ski-jump spillway scour depth,2023
52 - M Hasanpour Kashani, MR Nikpour, R Jalali,Water quality prediction using data-driven models case study: Ardabil plain, Iran,2023
51 - MA Ghorbani, E Kahya, H Ruskeepää, T Roshni, M Hasanpour Kashani, ...,Temporal connections in reconstructed monthly rainfall time series in different rainfall regimes of Turkey,2022
50 - C Chen, Q Zhang, MH Kashani, C Jun, SM Bateni, SS Band,Forecast of rainfall distribution based on fixed sliding window long short-term memory. Eng Appl Comput Fluid Mech 16 (1): 248–261,2022
49 - MH Kashani, S Inyurt, MR Golabi, M AmirRahmani, SS Band,Estimation of solar radiation by joint application of phase space reconstruction and a hybrid neural network model,2022
48 - T Roshni, E Mirzania, M Hasanpour Kashani, QAT Bui, S Shamshirband,Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level,2022
47 - C Chen, Q Zhang, MH Kashani, C Jun, SM Bateni, SS Band, SS Dash, ...,Forecast of rainfall distribution based on fixed sliding window long short-term memory,2022
46 - MA Ghorbani, E Kahya, T Roshni, MH Kashani, A Malik, S Heddam,Entropy analysis and pattern recognition in rainfall data, north Algeria,2021
45 - M Hatamvand, M Hasanpour Kashani,Estimating Wet Aggregates Stability from Easily Available Soil Properties in North West of Lake Urmia,2021
44 - ,برآورد پایداری خاکدانه های تر از ویژگی های زودیافت خاک در شمال غرب دریاچه ارومیه‎,2021
43 - A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ...,Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model. Eng Appl Comput Fluid Mech 14 (1 …,2020
42 - MA Ghorbani, R Khatibi, VP Singh, E Kahya, H Ruskeepää, MK Saggi, ...,Continuous monitoring of suspended sediment concentrations using image analytics and deriving inherent correlations by machine learning,2020
41 - A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ...,Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model. Eng Appl Comput Fluid Mech 14: 323–338,2020
40 - MH Kashani, MA Ghorbani, M Shahabi, SR Naganna, L Diop,Multiple AI model integration strategy—application to saturated hydraulic conductivity prediction from easily available soil properties,2020
39 - S Inyurt, M Hasanpour Kashani, A Sekertekin,Ionospheric TEC forecasting using Gaussian process regression (GPR) and multiple linear regression (MLR) in Turkey,2020
38 - A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ...,Modeling monthly pan evaporation process over the Indian central Himalayas: application of multiple learning artificial intelligence model,2020
37 - MA Ghorbani, RC Deo, S Kim, M Hasanpour Kashani, V Karimi, ...,Development and evaluation of the cascade correlation neural network and the random forest models for river stage and river flow prediction in Australia,2020
36 - A Malik, A Kumar, MA Ghorbani, MH Kashani, O Kisi, S Kim,The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State,2019
35 - SG Meshram, MA Ghorbani, RC Deo, MH Kashani, C Meshram, V Karimi,New approach for sediment yield forecasting with a two-phase feedforward neuron network-particle swarm optimization model integrated with the gravitational search algorithm,2019
34 - MA Ghorbani, RC Deo, V Karimi, MH Kashani, S Ghorbani,Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly lake water level forecasting,2019
33 - SG Mohammad Ali Ghorbani, Ravinesh CDeo, Mahsa H.Kashani, Mahmoud Shahabi,Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity,2019
32 - A Malik, A Kumar, MA Ghorbani, MH Kashani, O Kisi, S Kim,The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State. Hydrol Res 50: 1623–1644,2019
31 - S Asghari, M Hatamvand, M Hasanpour Kashani,Deriving Pedotransfer Functions for Estimating Soil Saturated Hydraulic Conductivity in North West of Urmia Lake,2019
30 - ,اشتقاق توابع انتقالی برای برآورد هدایت هیدرولیکی اشباع خاک در شمال غرب دریاچه ارومیه‎,2019
29 - MAG Mahsa H.Kashani, Ercan Kahya,Prediction of the sodium absorption ratio using the GEP model Case study: Darreh Rud River, Iran,2019
28 - BM Aghazadeh Ardabili, SH., Kanooni, A., Kashani M.H.,Optimization of water allocation between different products under water stress conditions in Yamchi irrigation network, Ardabil,2018
27 - MH Kashani,River flow forecasting using intelligent models,2018
26 - MH Kashani, R Soltangeys,Comparison of three intelligent techniques for runoff simulation,2018
25 - MH Kashani, MA Ghorbani, Y Dinpasho, S Shahmorad, ZW Kundzewicz,Comparative study of different wavelets for developing parsimonious Volterra model for rainfall-runoff simulation,2017
24 - BM M.A. Ghorbani, Ravinesh C.Deo, Zaher Mundher Yaseen, Mahsa H.Kashani,Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran,2017
23 - MH Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad,Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran,2016
22 - M Hasanpour Kashani, MA Ghorbani, Y Dinpazhouh, S Shahmorad,Rainfall-Runoff simulation in the Navrood river basin using truncated volterra model and artificial neural networks,2016
21 - A Ghorbani M.A., Singh V.P., Sivakumar B., Kashani M. H., Arvind Atre A.,Probability distribution functions for unit hydrographs with optimization using genetic algorithm,2015
20 - M Hasanpour Kashani, R Daneshfaraz, MA Ghorbani, MR Najafi, O Kisi,Comparison of different methods for developing a stage–discharge curve of the Kizilirmak River,2015
19 - MA Ghorban, VP Singh, B Sivakumar, MH Kashani, AA Atre, H Asadi,Probability distribution functions for unit hydrographs with optimization using genetic algorithm,2015
18 - ,شبیه سازی فرآیند بارش رواناب در حوزه آبخیز ناورود با مدل ولترای مرتبه محدود شبکه های عصبی مصنوعی‎,2014
17 - NK Mansour, NK Mohammad Hassan, K Alireza, G Mostafa, F Alireza, ...,Comparison of patch testing results between job related and non job related allergic contact dermatitis in Iran,2014
16 - M Hasanpour Kashani, MA Ghorbani, Y Dinpashoh, S Shahmorad,Comparison of Volterra model and artificial neural networks for rainfall–runoff simulation,2014
15 - MHK Rasoul Daneshfaraz, Sina Sadeghfam,NUMERICAL SIMULATION OF FLOW OVER STEPPED SPILLWAYS,2014
14 - MA Ghorbani, M Hasanpour-Kashani, S Zeynali,Development of synthetic unit hydrograph using probability models,2013
13 - M Kashani, M Hosseina, K Sarrafan, A Darabi,Rotor compound concept for designing an industrial HTS synchronous motor,2013
12 - Y Han,Effective controller design and circulating current suppression for modular multilevel converters (MMCs) using ATP-EMTP,2013
11 - K Sarrafan, M Kashani, A Darabi,The effect of the inverter supply on core losses in axial flux permanent magnet motor,2013
10 - M Kashani, M Hosseina, A Darabi,Design a Twelve Phase 1.1 MW Low Voltage HTS Motor for Marine Propulsion Systems,2012
9 - MA Ghorbani, VP Singh, R Daneshfaraz, MH Kashani,Modelling pan evaporation using genetic programming,2012
8 - M Hasanpour Kashani, Y Dinpashoh,Evaluation of efficiency of different estimation methods for missing climatological data,2012
7 - R Khatibi, MA Ghorbani, MH Kashani, O Kisi,Comparison of three artificial intelligence techniques for discharge routing,2011
6 - A Moghaddamnia, R Remesan, MH Kashani, M Mohammadi, D Han, ...,Comparison of LLR, MLP, Elman, NNARX and ANFIS Models—with a case study in solar radiation estimation,2009
5 - M Hassanpour Kashani, M Montaseri, MA Lotfollahi Yaghin,Flood estimation at ungauged sites using a new hybrid model,2008
4 - H Kashani M.,Simulation of rainfall-runoff process using MLP model,2008
3 - LYMA Hasanpour Kashani M., Montaseri M.,Comparison of performance of MLP and Elman neural networks with a new nonlinear regression model for flood prediction at ungauged sites,2008
2 - LYMA Hasanpour Kashani M., Montaseri M.,Flood regional modeling using a a new nonlinear regression model and feedforward and feedback artificial neural networks.,2007
1 - MMMALY Mahsa Hassanpour Kashani,Flood Estimation at Ungauged Sites Using A New Nonlinear Regression Model and Artificial Neural Networks,2007

Executive Manager of Water and Soil Management and Modeling

Consultant Professor of Water Engineering Student Scientific Association

Head of the water resources and environment core


برنامه هفتگی استاد در ترم جاری

نام درس مقطع زمان و مکان ارائه
هوا و اقلیم شناسی کارشناسی

سه شنبه - سایت - 8-10

سه شنبه - کلاس 7 - 1-15

سه شنبه - سایت - 15-17

آشنایی با نرم افزارهای تخصصی کارشناسی

یک شنبه - کلاس 17 - 13-15

یک شنبه - سایت - 15-17

روشهای نوین در منابع آب کارشناسی

دوشنبه - آزمایشگاه - 10-12

چهارشنبه - کلاس 17 - 8-10

روشهای استوکاستیک در مهندسی آب کارشناسی ارشد

چهارشنبه - کلاس 17 - 13-16

مدلهای داده مبنا در مهندسی آب کارشناسی ارشد

یک شنبه - آزمایشگاه - 8-10

یک شنبه - آزمایشگاه - 10-12

ایستایی کارشناسی

دوشنبه - کلاس 10 - 15-17

چهارشنبه - آزمایشگاه - 10-12

PHD
Master

2 - Estimation of scour depth of bridge foundations using empirical equations and smart models, Ali Nasiri, 2020


1 - Optimum allocation of water and crop area in the conditions of limited water resources (case study: Yamchi irrigation network, Ardabil), Shima Aghazadeh Ardabili, 2018