Samaneh Seifollahi


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Arbetar vid Institutionen för naturgeografi
Besöksadress Svante Arrhenius väg 8
Rum T 314
Postadress Inst för naturgeografi 106 91 Stockholm

Om mig

Samaneh has started her Postdoc on July 2018, focusing on land-sea synergies and modeling their physical, socio-economic, and environmental interactions by combining a multi-actor approach with system dynamics modeling. Her research is part of an EU-H2020 project, Collaborative Land-Sea integration platform (COASTAL), based on six European case studies. However, her collaboration with Stockholm University started as a visiting scientist on January 2018. Her work was focused on resilience and management of Arctic wetlands and their environmental services under natural and managerial interventions.

She is specialist in water resources management throughout her career, working on different water projects, and meteorology and hydrology research. In addition, she has extensive experience in water resources modeling, developing and practicing new professional software for watershed management. Her collaboration with Stockholm Environment Institute (SEI)-US center as a water resources modeler was concentrated on international collaboration with SEI-Asia center on developing an efficient decision support system, CERK-WET project to make a disaggregated water system model for Los Angeles County, and Santa Clara Valley Water District project for scenario assessment on fish habitat suitability.

She holds a PhD of Science in Water Resources Management from the University of Tehran, Iran, where she was awarded Best PhD Research Student at the 24th Research Festival (2015), and also International Day Festival (2014). She has also spent one year at University of California, Davis, in the Hubert H. Humphrey Fellowship program, being held by the U.S. Department of State (Fulbright program) to enhance professional and leadership skills. In scientific area, she has several publications and books in international and national presses and worked as a teacher assistant in the University of Tehran for seven years. Her current research interests include hydrology, climate change, surface water management, water system dynamic analysis, and software development for water resources modeling.


I urval från Stockholms universitets publikationsdatabas
  • 2018. Samaneh Seifollahi-Aghmiuni, Omid Bozorg Haddad. Water resources management 32 (12), 4013-4030

    Various objectives are mainly met through decision making in real world. Achieving desirable condition for all objectives simultaneously is a necessity for conflicting objectives. This concept is called multi objective optimization widely used nowadays. In this study, a new algorithm, comprehensive evolutionary algorithm (CEA), is developed based on general concepts of evolutionary algorithms that can be applied for single or multi objective problems with a fixed structure. CEA is validated through solving several mathematical multi objective problems and the obtained results are compared with the results of the non-dominated sorting genetic algorithm II (NSGA-II). Also, CEA is applied for solving a reservoir operation management problem. Comparisons show that CEA has a desirable performance in multi objective problems. The decision space is accurately assessed by CEA in considered problems and the obtained solutions' set has a great extent in the objective space of each problem. Also, CEA obtains more number of solutions on the Pareto than NSGA-II for each considered problem. Although the total run time of CEA is longer than NSGA-II, solution set obtained by CEA is about 32, 4.4 and 1.6% closer to the optimum results in comparison with NSGA-II in the first, second and third mathematical problem, respectively. It shows the high reliability of CEA's results in solving multi objective problems.

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Senast uppdaterad: 15 april 2019

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