Dr. Sheetal Kumar Dewangan is an Assistant Professor in the Department of Materials Science and Engineering at Ajou University, Republic of Korea. He earned his Ph.D. in Metallurgical and Materials Engineering from the Indian Institute of Technology (IIT), India, focusing on the microstructure, mechanical properties, and high-temperature oxidation behavior of tungsten-containing high-entropy alloys. His research interests include high-entropy alloys, advanced materials processing, high-temperature oxidation, nanomechanical characterization, alloy design, and machine learning applications in materials science. Dr. Dewangan has contributed to numerous research publications in reputed international journals and has worked on the development and characterization of advanced metallic materials for high-temperature and energy-related applications. His research also encompasses hydrogen storage materials and the integration of computational approaches with experimental materials science to support the development of next-generation engineering materials. Keywords: Powder metallurgy, microstructure, mechanical properties, machine learning, and high-temperature oxidation behavior of tungsten-containing high-entropy alloys.
Dr. Sheetal Kumar Dewangan is an Assistant Professor in the Department of Materials Science and Engineering at Ajou University, Republic of Korea. He earned his Ph.D. in Metallurgical and Materials Engineering from the Indian Institute of Technology (IIT), India, focusing on the microstructure, mechanical properties, and high-temperature oxidation behavior of tungsten-containing high-entropy alloys. His research interests include high-entropy alloys, advanced materials processing, high-temperature oxidation, nanomechanical characterization, alloy design, and machine learning applications in materials science. Dr. Dewangan has contributed to numerous research publications in reputed international journals and has worked on the development and characterization of advanced metallic materials for high-temperature and energy-related applications. His research also encompasses hydrogen storage materials and the integration of computational approaches with experimental materials science to support the development of next-generation engineering materials. Keywords: Powder metallurgy, microstructure, mechanical properties, machine learning, and high-temperature oxidation behavior of tungsten-containing high-entropy alloys.