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Zaiwar Ali
Also published under:
Affiliation
Telecommunication and Networking Research Center, GIK Institute of Engineering Sciences and Technology, Topi, Pakistan
Topic
Edge Server,Mobile Edge Computing,Bit Error Rate,Computation Offloading,Deep Learning,Hidden Layer,Multi-core,Task Offloading,Cloud Computing,Deep Neural Network,Deep Reinforcement Learning,Local Execution,Mobile Edge Computing Server,Offloading Strategy,Time Delay,ANN Model,Additive Noise,Amount Of Energy Consumption,Artificial Neural Network,Artificial Neural Network Training,Autoregressive Integrated Moving Average,Base Station,Battery Capacity,Bit Error,CPU Memory,Communication Latency,Communication Range,Computation Tasks,Computational Mechanisms,Computational Resources,Computing Services,Cost Function,Data Processing,Data Security,Deep Learning Techniques,Deep Neural Network Model,Delay Constraint,Delay Estimation,Delivery Delay,Delivery Ratio,Derivation Dataset,Destination Node,Different Numbers Of Neurons,Distance Vector,Distinct Nodes,Division Of Tasks,Download Time,Edge Computing,Edge Devices,Efficient Route,
Biography
Zaiwar Ali received the B.S. degree in electronics engineering from the COMSATS Institute of Information Technology, Abbottabad Campus, Pakistan, in 2012, the M.S. degree in electronics engineering from the Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIK Institute), Topi, Pakistan, in 2015, and the Ph.D. degree in electronics engineering from the Telecommunications and Networking Research Laboratory, GIK Institute, in 2021. From 2013 to 2015, he was a Graduate Assistant with the GIK Institute. From 2016 to 2018, he was a Lecturer with the Faculty of Electrical Engineering, GIK Institute, where he is currently an Assistant Professor. His research interests include multi-access edge computing, cloud computing, stochastic processes, the IoT, machine learning, and wireless sensor networks. He was a recipient of the Highest Level of Merit Scholarship.