ÖMER ALKAN received the B.S. degree in department of economics from Ataturk University, in 2005, the master’s degree in department of business from Ataturk University, in 2008, and the Ph.D. degree in department of business from Ataturk University in 2013. In 2010, he started to work as an Research Assistant at the department of business. In 2013, he appointed as assistant professor in the department of econometrics. In 2018, he appointed as associate professor in the department of econometrics and is currently working in the same department. Before this position, he worked as a Internal Auditor for four years in Ziraatbank, Bayburt-Turkey. He has many scientific articles and some of them are indexed in SSCI, SCI, ESCI, Scopus, and Econlit. His main research interests are discrete choice models, categorical data analysis, count data, spline regression models, public health, health economics, poverty, and electronic commerce.

Dr. Yingjun Zhao has long been engaged in research within the field of intelligent condition monitoring and fault diagnosis. His primary focus lies in the theoretical foundations and methodologies for intelligent diagnostics of rotating machinery and industrial equipment, as well as key technologies involving artificial intelligence and deep learning in engineering applications. His research encompasses signal processing, feature extraction, intelligent classification algorithms, and industrial big data analysis, dedicated to addressing challenges in equipment health management under complex operating conditions. This work supports the development strategies for high-end equipment manufacturing and intelligent manufacturing. He has published multiple papers in international journals such as Measurement and serves as an invited reviewer for several international journals, including Mechanical Systems and Signal Processing, Measurement, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, and Neurocomputing.