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
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- English for Technical Professionals
Amir F. Atiya
Also published under:A. F. Atiya, Amir Atiya, A. Atiya
Affiliation
Computer Engineering Department, Cairo University, Giza, Egypt
Topic
Training Set,Airline Industry,Association Rules,Bandit Problem,Bayesian Regression,CIFAR-100 Dataset,Cardiac Surgery,Categorical Values,Class Imbalance,Class Imbalance Problem,Convolutional Neural Network,Data Structure,Decreasing Gradient,Deep Neural Network,Demand Curve,Demand Function,Demand Model,Dependent Variable,Different Values Of Parameter,Dynamic Pricing,Dynamic Problem,Ensemble Approach,Feasible Point,Fully-connected Layer,Future Revenues,Hidden Layer,High Error,Human Spinal Cord,Image Dataset,Incremental Update,Input Layer,Learning Demands,Linear Model,Linear Regression,MNIST Dataset,Machine Learning,Major Classes,Major Example,Markov Decision Process,Means Algorithm,Medical Applications,Medical Data,Medical Datasets,Medical Field,Medical Imaging,Minority Class,Missing Data Values,Missing Values,Mobile App,Model Parameters,
Biography
Amir F. Atiya (Senior Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Cairo University, and the M.S. and Ph.D. degrees in electrical engineering from Caltech, Pasadena, CA, USA. He is currently a Professor with the Department of Computer Engineering, Cairo University. His research interests include machine learning, theory of forecasting, computational finance, and dynamic pricing. He obtained several awards, such as the Kuwait Prize, in 2005, and the Egyptian State Appreciation Award, in 2018. He is a Handling Editor of International Journal of Forecasting.