Cagla Odabasi

Ça?la Odaba?? Özer is currently working in Algorithms & Software Solutions division at R&D Center of Turkish Petroleum Refineries Corporation (Tüpra?). She is conducting many machine learning projects on predictive maintenance, fault detection, predictive analytics and knowledge extraction to find solutions to the problems at the business units and improve process performance. She also takes part in different innovation projects about sustainability and environment. At her PhD studies, she concentrated on renewable energies. She studied on finding best material combinations and pathways to increase the performance of perovskite solar cells using machine learning techniques. She also employed machine learning techniques in Li-S batteries and catalysis fields. Publications: Ç. Odaba?? and R. Y?ld?r?m, “Assessment of reproducibility, hysteresis and stability relations in perovskite solar cells using machine learning”, Energy Technology, Vol. 8, pg. 1901449, 2020. A. Kilic, Ç. Odaba??, R. Y?ld?r?m and D. Eroglu, “Assessment of Critical Materials and Cell Design Factors for High Performance Lithium-Sulfur Batteries using Machine Learning”, Chemical Engineering Journal, Vol. 390, pg. 124117,2020. V. Khenkin, E. A. Katz, A. Abate, G. Bardizza, J. J. Berry, …, Ç. Odaba??, …, M. Lira-Cantu, “Consensus Statement for Stability Assessment and Reporting for Perovskite Photovoltaics based on ISOS Procedures”, Nature Energy, Vol. 5, pg. 35-49, 2020. Ç. Odaba?? and R. Y?ld?r?m, “ Machine learning analysis on stability of perovskite solar cells ”, Solar Energy Materials and Solar Cells, Vol. 205, pg. 110284, 2020. Ç. Odaba?? and R. Y?ld?r?m, “ Performance analysis of perovskite solar cells in 2013-2018 using machine-learning tools ”, Nano Energy, Vol. 56, pg. 770-791, 2019. Ç. Odaba??, M.E. Günay and R. Y?ld?r?m, “Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012”, International Journal of Hydrogen Energy, Vol. 39, pg. 5733-5746, 2014.