Muhammad Afaq

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Affiliation

Department of Computer Engineering
Jeju National University, Jeju, Republic of Korea

Topic

Virtual Network Functions,Intent-based Networking,Service Quality,Anomaly Detection,CPU Utilization,Control Plane,Learning Algorithms,Machine Learning Models,Network Management,Network Operators,Network Slicing,Quality Of Service Requirements,5G Networks,Core Network,Data Processing,Decision Support System,Functional Networks,Machine Learning,Mean Absolute Error,Mobile Network,Network Configuration,Network Metrics,Network Resources,Network Services,Quality Of Experience,Service Requirements,Ultra-reliable Low-latency,5G Mobile Networks,Access Control,Advanced Machine Learning,Anomaly Detection Systems,Assurance Mechanisms,Attack Detection,Base Learners,Big Data,Big Data Collection,Big Data Processing,Blockchain Network,CPU Usage,Client Requests,Closed-loop System,Cloud Network,Core Resources,Data Analytics Function,Data Export,Data Processing Techniques,Data Repository,Data Streams,Deep Convolutional Neural Network,Deep Learning,

Biography

Muhammad Afaq received the B.S. degree in electrical engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2007, the M.S. degree in electrical engineering with emphasis on telecom from the Blekinge Institute of Technology, Sweden, in 2010, and the Ph.D. degree in computer engineering from Jeju National University, in 2017.
Before starting his Ph.D., he worked as a Research Associate with the Faculty of Computer Science and Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan, and as a Lecturer with the Department of Electrical Engineering, City University of Science and Information Technology. He also worked as an Assistant Professor with the Department of Computer Science and Information Technology, Sarhad University of Science and Information Technology, Pakistan. He is currently working as a Postdoctoral Researcher with the Network Convergence Laboratory, Jeju National University. His research interests include cloud computing, software-defined networking, network function virtualization, wireless networks and protocols, machine learning, and data science.