As of September 2022, Dounia Chlyeh is a PhD candidate under the supervision of both Prof. Dr. Alexander Himme and Prof. Dr. Hanno Friedrich at Kühne Logistics University. Her main research area focuses on designing an internal performance measurement system to support environmental sustainability strategies in the food supply chain sector as well as linking non-financial metrics related to environmental sustainability to financial metrics of these companies.
Dounia holds a Bachelor of Science in energy systems engineering from Gazi University in Ankara, a Master of Arts in management from Ibn Haldun University in Istanbul and a second master's degree in REAP (Resource Efficiency in Architecture & Planning) from HafenCity University in Hamburg.
During her bachelor's degree, Dounia gained field experience in Solar energy when she worked at different companies. As a research assistant, while doing her first master's degree, she published her first article in a top-tier journal. Before joining KLU, Dounia worked as a PV consultant and project manager at PVI GmbH alongside her second master's degree.
|Since 2022||PhD candidate at Kühne Logistics University, Hamburg, Germany|
|2020 - 2021||Master of Science in Resource Efficiency in Architecture & Planning, Hafencity University, Hamburg, Germany|
|2018 - 2020||Master of Arts in Management, Ibn Haldun University, Istanbul, Turkey|
|2014 - 2018||Bachelor of Science in Energy Systems Engineering, Gazi University, Ankara, Turkey|
|2013 - 2014||Diploma in Turkish Language C1, Gazi University, Ankara, Turkey|
|2012 - 2012||Cultural Exchange, Desert Mountain High School, Scottsdale, Arizona, USA|
|2010 - 2013||Baccalaureate Diploma in Physics / Chemistry, Abi Labass Sebti High School, Marrakesh, Morocco|
|Since 2022||Research Assistant, Kühne Logistics University, Hamburg, Germany|
|2021 - 2022||PV Consultant and Project Engineer, PVI GmbH, Hamburg, Germany|
|2021 - 2021||Research Assistant, Hafencity University, Hamburg, Germany|
|2020 - 2020||Copy Editor, International Journal of Research in Business and Social Sciences, Istanbul, Turkey|
|2018 - 2020||Research Assistant, Ibn Haldun University, Istanbul, Turkey|
|2017 - 2018||Solar Energy Engineer, Else Enerji, Ankara, Turkey|
|2016 - 2018||English Language Teacher, Netacademy Schools of English, Ankara, Turkey|
|2016 - 2017||Key Account Sales Manager, MENA Region, GoodWe Solar Inverters & Energy Storage Solutions, Izmir, Turkey|
Chlyeh, Dounia, Aicha Elaiche and Ali Osman Kusakci (2019): Country selection for energy company's new branch using Fuzzy-Topsis, International Social Innovation Congress.
Abstract: Solar energy is regarded as one of the most important and promising technologies in the field of renewable energies. Turkey has been one of the first countries to adopt solar energy and harness it in the last two decades. Many Turkish companies especially holdings started to invest in North Africa, either by expanding their operations there or through opening new branches and making alliances with the other countries concerned. This paper aims to identify the best North African country for a specific Turkish company to open a solar energy branch. The process involved Fuzzy TOPSIS multi-criteria decision making where criteria for selection of one of the countries has been collected from experts, and three decision-makers have been chosen to rate the criteria in terms of each alternative countries. Fuzzy TOPSIS analysis was chosen because of the level of uncertainty in this case study. Regardless of the data available concerning each criterion for all the alternative countries, there is still a certain level of ambiguity to overcome. The results of this study suggested that Algeria would be the best choice for this Turkish company to open up a new branch. The second best-fitting country would be Egypt followed by Libya while Morocco and Tunisia had the lowest ranking.
Hacioglu, Umit, Dounia Chlyeh, Mustafa K. Yilmaz, Ekrem Tatoglu and Dursun Delen (2021): Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach, Decision Support Systems, 142.
Abstract: Crafting and executing the best cryptocurrency mining strategy is vital to succeeding in cryptocurrency market investments. This study aims to identify the best cryptocurrency mining strategy based on service providers' performance for cryptocurrency mining using a hybrid analytics approach, which integrates the Analytic Hierarchy Process (AHP) and Fuzzy-TOPSIS techniques, along with sensitivity analysis. The results show that hosted mining is the overall best cryptocurrency mining strategy, followed by home mining and cloud mining, based on both total cost of operations and cryptocurrency payout criteria. The empirical findings also suggest that the critical features of the highest performing service providers (i.e., hosted mining strategies and cloud mining) were their flexibility of contracts and the superior efficiency in terms of the daily payout. Finally, of the three location alternatives for home mining, Turkey ranks first compared to the U.S. and Europe.