Nor Hidayati Abdul Aziz

Affiliation

Faculty of Engineering and Technology Multimedia University, Malacca, Malaysia

Topic

Search Space,Adaptive Beamforming,Benchmark,Canis Lupus,Convolutional Autoencoder,Convolutional Neural Network,Current Optimization,Current Solution,Deep Convolutional Neural Network,Deep Learning,Deep Learning Approaches,Deep Recurrent Neural Network,Error Covariance,Estimated Values,Estimation Process,Extreme Learning Machine,Faster R-CNN,Finite Impulse Response,Finite Impulse Response Filter,Friedman Test,Grey Wolf Optimization Algorithm,Grey Wolf Optimizer,HSV Color,Horizon Length,Hough Transform,Impulse Response,Infinite Impulse Response Filter,Iterative Form,Kalman Filter,Lane Detection,Lane Detection System,Local Neighborhood,Measurement Values,Metaheuristic,Multimodal Functions,Near-optimal Solution,Neural Network,Oppositional,Optimization Algorithm,Optimization Problem,Particle Swarm Optimization,Performance Of Algorithm,Prediction Phase,Premature Convergence,Preventive Actions,Random Values,Road Conditions,Set Of Equations,Solving Optimization Problems,State Space,

Biography

Nor Hidayati Abdul Aziz (M’06–SM’10) received the B.Eng. degree (Hons) in electronics engineering majoring in computer from Multimedia University in 2002 and the M.Eng. degree in electrical (electronics and telecommunications) from Universiti Teknologi Malaysia in 2005.
She is currently pursuing the Ph.D. degree in computational intelligence with Universiti Malaysia Pahang. From 2002 to 2006, she was an Engineer with Telekom Malaysia Berhad, Malaysia. She then joined Multimedia University as a Lecturer in 2006. She is one of the inventors of the simulated Kalman filter, which is an optimization algorithm based on Kalman filter framework. Her research interests include fundamental and applications of computational intelligence.