Sedat AkleylekInstitute of Computer Science, University of Tartu, Tartu, Estonia
IEEE Member
Title: ""
Short-Bio:
Sedat Akleylek received his B.Sc. degree in Mathematics with a specialization in Computer Science from Ege University in 2004, and his M.Sc. and Ph.D. degrees in Cryptography from Middle East Technical University in 2008 and 2010, respectively. He has served in academic positions at Ondokuz Mayıs University, İstinye University, and currently works at University of Tartu in the field of Security and Theoretical Computer Science. His research interests include post-quantum cryptography, cryptographic protocols, cybersecurity, IoT security, malware analysis, and theoretical computer science. He also serves on the editorial boards of several international journals, including IEEE Access.
Koksal ErenturkAtatürk University, Türkiye
IEEE Member
Title: ""
Short-Bio:
Köksal Erenturk has a BSc degree from Yıldız Technical University, Department of Electronics & Telecommunication Engineering, İstanbul, Türkiye 1994; MSc degree from the Istanbul University, Institute of Graduate Studies in Applied Sciences, İstanbul, Türkiye 1997; and PhD degree in Electrical Engineering from Karadeniz Technical University, Trabzon, Türkiye 2002. Currently he is serving as a full-professor in Faculty of Engineering, Department of both Electrical and Computer Engineering, at Atatürk University, Erzurum, Türkiye. He has also served as a faculty member at different universities in different countries such as Kuwait, Sweden, Kingdom of Saudi Arabia and etc. He is a member of IEEE since 2008, and holding more than 10 awards from broad area of scientific societies. He has authored and coauthored more than 150 journal and conference papers. His work has focused on machine learning, artificial intelligence, deep learning, generative adversarial networks, fuzzy logic and control, artificial neural networks, genetic algorithms, development and application of control theory to a variety of mechatronic systems, with a focus on observation and estimation-based control as well as highly efficient power converters, resonant and multilevel converters, including the modeling, control, and development of prototypes for various industrial applications in electric traction, renewable energy, power supplies for drives, energy storage devices, and their optimal control for electrified transportation and renewable energy applications.