Dr. Roya Asadi
University of Malaya, Malaysia
Highest Degree
Ph.D. in Computer Science from University of Malaya, Malaysia
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University of Malaya, Malaysia
Biography
Miss Roya Asadi was born in Tehran - Iran. She received her Bachelor degree in Computer Software Engineering from Electronics and Computer Engineering Faculty, from Shahid Beheshti University and Computer Faculty of Data Processing Iran Co. (IBM), Tehran, Iran. She obtained Master of Computer Science in Database System from UPM (University in Malaysia). She is a research student of Ph.D. of Computer Science in Artificial Intelligence (Neural Network) in University of Malaya. Her professional working experience includes 12 years of service as Senior Planning Expert 1. Her interests include Artificial Neural Network Modeling, Medical Informatics, and Image Processing.
Area of Interest:
Computer Sciences
100%
Artificial Intelligence
62%
Data Mining
90%
Medical Informatics
75%
Medical Image Processing
55%
Research Publications in Numbers
Books
0
0
Chapters
0
0
Articles
0
0
Abstracts
0
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Selected Publications
- Asadi, R., S. Abdul Kareem, S. Asadi and M. Asadi, 2017. A dynamic semisupervised feedforward neural network clustering. Artif. Intell. Eng. Des. Anal. Manuf., 31: 30-54.
CrossRef | Direct Link | - Asadi, M., I. Noroozi, R. Asadi, S. Asadi and A. Mardani, 2016. Does Iranian content based English language instruction improve high schools students' proficiencies more than the conventional? Int. J. Adv. Res., 4: 1114-1119.
CrossRef | Direct Link | - Asadi, R., S.A. Kareem, M. Asadi and S. Asadi, 2015. A Single-Layer Semi-Supervised Feed Forward Neural Network Clustering Method. Malaysian J. Comput. Sci., 28: 189-212.
Direct Link | - Asadi, R., M. Asadi and S.A. Kareem, 2014. An efficient semi-supervised feed forward neural network clustering. Artifi. Intelli. Eng. Design Anal. Manufact. 10.1017/S0890060414000675.
CrossRef | Direct Link | - Asadi, R., H.S. Hasan, A. Sameem and S.A. Kareem, 2014. Review of current Online Dynamic Unsupervised Feed Forward Neural Network classification. Int. J. Artif. Intell. Neural Networks, .
- Asadi, R., N. Mustapha, N. Sulaiman and N. Shiri, 2009. New supervised multi layer feed forward neural network model to accelerate classification with high accuracy. Eur. J. Sci. Res., 33: 163-178.
Direct Link | - Asadi, R., N. Mustapha and N. Sulaiman, 2009. Training process reduction based on potential weights linear analysis to accelarate back propagation network. Int. J. Comput. Sci. Inform. Security, Vol. 3. .
Direct Link | - Asadi, R., N. Mustapha and N. Sulaiman, 2009. A framework for intelligent multi agent system based neural network classification model. Int. J. Comput. Sci. Inform. Security, 5: 168-174.
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