Data-Driven Intelligence in Wireless Networks: Concepts, Solutions, and Applications

About

MUHAMMAD KHALIL AFZAL (SM'16) received his MCS and M.S degrees in Computer Science from COMSATS Institute of Information Technology Wah Campus Pakistan in 2004 and 2007 respectively and his PhD. degree from the Department of Information and Communication Engineering Yeungnam University South Korea in December 2014. He has several research projects funded by the Higher Education Commission (HEC) Pakistan and National Grassroots ICT Research Initiative Ignite. His research interests include wireless sensor networks ad hoc networks data-driven intelligence in wireless networks smart cities 5G and IoT. MUHAMMAD ATEEQ received his bachelors degree from Bahauddin Zakariya University at Multan in 2005 and his MS and Ph.D. degree from COMSATS University Islamabad Wah Campus in 2007 and 2021 respectively. He has been in academia for the last 15 years. He is currently an Assistant Professor of Computer Science with The Islamia University of Bahawalpur. His research interests include using data-driven techniques to improve the quality of service in wireless communication. SUNG WON KIM received his B.S. and M.S. degrees from the Department of Control and Instrumentation Engineering Seoul National University South Korea in 1990 and 1992 respectively and a Ph.D. degree from the School of Electrical Engineering and Computer Sciences Seoul National University in 2002. From 1992 to 2001 he was a researcher with the Research and Development Center LG Electronics South Korea. From 2001 to 2003 he was a researcher with the Research and Development Center AL Tech South Korea. From 2003 to 2005 he was a postdoctoral researcher with the Department of Electrical and Computer Engineering University of Florida Gainesville FL USA. In 2005 he joined the Department of Information and Communication Engineering Yeungnam University Gyeongsan South Korea where he is currently a Professor. His research interests include resource management wireless networks mobile networks performance evaluation and machine learning.