Dr. Turan Gürgenç is an Associate Professor in Automotive Engineering at Fırat University. He received his BSc, MSc, and PhD degrees in Mechanical Engineering and completed postdoctoral research at The University of Arizona, Department of Aerospace and Mechanical Engineering, on 3D-printed MXene-based micro-supercapacitors using nano-B4C and nano-h-BN doped titanium carbide and vanadium carbide inks. His research focuses on advanced materials, surface engineering, tribology, nanocomposites, dielectric and optoelectronic materials, thermal energy storage, phase change materials, supercapacitors, MXene systems, and machine learning-assisted materials modeling. He has authored numerous international journal articles on molten salt nanocomposites, nano-enhanced PCMs, metal oxide-based dielectric materials, coated magnesium and aluminum alloys, nanolubricants, and AI-based prediction of wear, surface roughness, and tool condition. He has contributed to TÜBİTAK, Horizon-MSCA, and university-funded research projects and has supervised graduate theses on photodiodes, nanolubricants, tribological materials, and functional thin films. He also holds national patents on asphalt rutting systems, AI-based motor fault detection, and ZnO-based nanocomposite materials. His current research aims to develop sustainable, multifunctional, and high-performance materials for energy storage, thermal management, tribology, electronics, and advanced manufacturing.
Dr. Turan Gürgenç is an Associate Professor in Automotive Engineering at Fırat University. He received his BSc, MSc, and PhD degrees in Mechanical Engineering and completed postdoctoral research at The University of Arizona, Department of Aerospace and Mechanical Engineering, on 3D-printed MXene-based micro-supercapacitors using nano-B4C and nano-h-BN doped titanium carbide and vanadium carbide inks. His research focuses on advanced materials, surface engineering, tribology, nanocomposites, dielectric and optoelectronic materials, thermal energy storage, phase change materials, supercapacitors, MXene systems, and machine learning-assisted materials modeling. He has authored numerous international journal articles on molten salt nanocomposites, nano-enhanced PCMs, metal oxide-based dielectric materials, coated magnesium and aluminum alloys, nanolubricants, and AI-based prediction of wear, surface roughness, and tool condition. He has contributed to TÜBİTAK, Horizon-MSCA, and university-funded research projects and has supervised graduate theses on photodiodes, nanolubricants, tribological materials, and functional thin films. He also holds national patents on asphalt rutting systems, AI-based motor fault detection, and ZnO-based nanocomposite materials. His current research aims to develop sustainable, multifunctional, and high-performance materials for energy storage, thermal management, tribology, electronics, and advanced manufacturing.