Emrah Şık

Emrah Şık is an Assistant Professor in the Department of Fundamental Sciences at Istanbul Technical University (ITU), College of Engineering, Turkey. His research focuses on advanced water and wastewater treatment technologies, particularly in the areas of arsenic removal, electrocoagulation, and nutrient recovery. He is actively involved in environmental engineering research with practical applications in groundwater remediation and sustainable resource management.

His research interests include Environmental Engineering, Water and Wastewater Treatment, Arsenic Removal, Electrocoagulation, Nutrient Recovery, and Response Surface Methodology. These areas are central to his experimental and optimization-based studies, which aim to improve efficiency and reduce operating costs in water treatment systems.

The trend in his recent publications shows a strong focus on electrochemical treatment methods, particularly electrocoagulation using aluminum and iron electrodes for the removal of toxic contaminants like arsenic from groundwater. Many of his studies employ response surface methodology for process optimization, reflecting a data-driven and systematic approach. His work spans diverse wastewater types, including landfill leachate, textile, dairy, and industrial effluents, showcasing a broad application scope.

Scientific Awards:

• Prize received on June 1, 2020 (specific name not fully available)

Dr. Şık has been involved in research projects related to cleaner production and circular resource management, including projects funded under BAP and 1773TTO. While there is no explicit mention of grants or advising roles, his collaborative publications suggest active participation in research teams. He frequently collaborates with researchers such as M. Kobya, E. Demirbas, and A.Y. Gören.

He is associated with laboratory-based experimental research in environmental engineering, particularly in electrochemical treatment systems. His work involves reactor design (e.g., fluidized-bed, electrocoagulation reactors) and process optimization, indicating active engagement in experimental and applied research settings.