Dr.-Ing. Mohammad Zounemat Kermani

Profile

Academic positionAssociate Professor, Senior Lecturer, Reader
Research fieldsWater Resources Management,Hydraulic Engineering, Water Engineering
KeywordsSewer systems, nonlinear simulation, Hydrogen Sulphide, Artificial intelligence methods, concrete corrosion
Honours and awards

2019: Top Researcher at the Faculty, SBUK University, Kerman, Iran.

2018: Elite Researcher in the Province of Kerman (Elected Among All Universities and Research Institutions), Iran.

2018: Selected researcher for international cooperation, SBUK University, Kerman, Iran.

2018: Top Researcher, Shahid Bahonar University of Kerman, Kerman, Iran.

2017: Top Researcher, Shahid Bahonar University of Kerman, Kerman, Iran.

2008: Top Researcher, K.N.Toosi University of technology, Tehran, Iran.

2007: Talented PhD student, K.N.Toosi University of technology, Tehran, Iran.

Current contact address

CountryIran
CityKerman
InstitutionShahid Bahonar University of Kerman
InstituteWater engineering

Host during sponsorship

Prof. Dr.-Ing. Reinhard HinkelmannFachgebiet Wasserwirtschaft und Hydrosystemmodellierung, Technische Universität Berlin, Berlin
Start of initial sponsorship01/02/2019

Program(s)

2017Georg Forster Research Fellowship Programme for Experienced Researchers

Publications (partial selection)

2020Mohammad Zounemat-Kermani, Meysam Alizamir, Zaher Mundher Yaseen, Reinhard Hinkelmann: Concrete Corrosion in Wastewater Systems: Prediction and Sensitivity Analysis using Advanced Extreme Learning Machines. In: Frontiers of Structural and Civil Engineering, 2020, 1-18
2020Mohammad Zounemat-Kermani, Dietmar Stephan, MatthiasBarjenbruch, ReinhardHinkelmann: Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models. In: Advanced Engineering Informatics, 2020, 101030
2020M Zounemat-Kermani and E Matta and A Cominola and X Xia and Q Zhang and Q Liang and R Hinkelmann : Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects . In: Journal of Hydrology, 588, 2020, 125085
2019Mohammad Zounemat-Kermani, Dietmar Stephan, Reinhard Hinkelmann: Multivariate NARX neural network in prediction gaseous emissions within the influent chamber of wastewater treatment plants. In: Atmospheric Pollution Research, 2019, 1812-1822