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- Computing and Processing
- Components, Circuits, Devices and Systems
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- Power, Energy and Industry Applications
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- General Topics for Engineers
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- Engineered Materials, Dielectrics and Plasmas
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Shabir Ahmad
Also published under:
Affiliation
Center of Artificial Intelligence for Medical Instruments, South Korea
Topic
Convolutional Neural Network,Internet Of Things,Artificial Neural Network,Deep Learning,Federated Learning,Internet Of Things Devices,Cloud Layer,Communication Overhead,Computational Resources,Data Privacy,Disease Prediction,Edge Computing,Edge Server,Ensemble Model,Machine Learning,Medical Imaging,Neural Network,Nonlinear Model,Nonlinear Systems,Performance Metrics,Signal-to-interference-plus-noise Ratio,Training Phase,Transfer Learning,Validation Phase,Wireless Sensor Networks,5G Communication,5G Technology,6G Networks,Achievable Rate,Action Recognition,Active Learning,Active Learning Techniques,Actuator,Adam Optimizer,Additive Noise,Amazon EC2,Amplitude Variation,Arduino,Artificial Neural Network Algorithm,Automated Guided Vehicles,Backpropagation,Balance Performance,Balanced Boolean Functions,Block Cipher,Blockchain Technology,Bone Mineral Density,Boolean Function,Central Server,Chain Rule,Chaotic System,
Biography
Shabir Ahmad (Senior Member, IEEE) received the B.S. degree in computer system engineering from the University of Engineering and Technology, Peshawar, Pakistan, the M.S. degree in computer software engineering from the National University of Science and Technology, Islamabad, Pakistan, in 2013, and the Ph.D. degree from the Department of Computer Engineering, Jeju National University, Republic of Korea. He was with the Software Engineering Department, University of Engineering and Technology, Peshawar, as a Faculty Member, from 2016 to 2017. Since 2020, he has been a Research Professor with the Department of Computer Engineering, Gachon University. His research interests include the Internet of Things applications, cyber-physical systems, intelligent systems, deep learning, and reinforcement learning, to name a few.