Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Nouman Ashraf
Affiliation
School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland
Topic
Deep Learning,Internet Of Things,Convolutional Neural Network,Deep Learning Models,Learning Models,Machine Learning,Machine Learning Models,6G Networks,Cloud Computing,Convolutional Layers,Convolutional Neural Network Model,Energy Management,Internet Of Things Devices,Model Performance,Reconfigurable Intelligent Surface,Sampling Period,3D Space,Actor Network,Application Requirements,Attack Duration,Autonomous Operation,Autonomous Vehicles,Average Dwell Time,Azimuth Angle,Azimuthal Component,BERT Model,Beam Steering,Beampattern,Benchmark Model,Block Coordinate Descent,Blockchain Applications,Blockchain Data,Blockchain Network,Borderline Personality Disorder,Changes In Workload,Closed-loop System,Cloud Environment,Cloud Providers,Computation Offloading,Computation Tasks,Computational Efficiency,Computer-aided Diagnosis,Confusion Matrix,Contralateral,Control Design,Control Design Problem,Control Gain Matrix,Control Network,Control Techniques,Convergence Of Error,
Biography
Nouman Ashraf [STM'15] received the Ph.D. degree in electrical engineering from Frederick University, Cyprus, under the Erasmus Mundus Program. He received the M.S. and B.S. degrees in electrical engineering from COMSATS University, Pakistan. His research interests include application of control theory for algorithm design in emerging intelligent networks.