BIO:

K.E. Sadatdiynov (PhD) received the Ph.D. degree from Shenzhen University, Shenzhen, China, in 2022, the Master degree in Telecommunication Technologies from the Tashkent University of Information Technologies (TUIT), Tashkent, Uzbekistan, in 2014, and the Bachelor degree in Telecommunication from the Nukus branch of the Tashkent University of Information Technologies, Nukus, Uzbekistan, in 2012. He worked as an assistant professor at the NF TUIT and TUIT, Uzbekistan, from September 2014 to July 2017. His research interests include the Internet of Things (IoT), multi-access edge computing, and federated learning. He has published several research papers in peer-reviewed journals and conferences.

Selected Publications:

1. Kuanishbay Sadatdiynov, Laizhong Cui, and Joshua Zhexue Huang. Offloading Dependent Tasks in MEC-enabled IoT Systems: A Preference-based Hybrid Optimization Method. Peer-to-Peer Networking and Applications, 2022, 1-18

2. Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Neal N. Xiong, and Chengwen Luo. An Intelligent Hybrid Method: Multi-objective Optimization for MEC-enabled Devices of IoE. Journal of Parallel Distributed Computing, 171 (2023) 1-13

3. Kuanishbay Sadatdiynov, Laizhong Cui, Lei Zhang, Joshua Zhexue Huang, Salman Salloum, and Mohammad Sultan Mahmud. A review of optimization methods for computation offloading in edge computing networks. Digital Communications and Networks, 9, 2023, 450-461