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Ghulam Muhammad

Professor

Professor, Department of Computer Engineering

علوم الحاسب والمعلومات
Room: 2191, Building: 31, 2nd floor, P.O. Box: 51178, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia

announcement

announcement

I have been recognized as a Highly Cited Researcher (HCR) 2023 by Clarivate.

introduction/brief CV

Ghulam Muhammad is a professor in the Department of Computer Engineering, College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. Prof. Ghulam received his Ph.D. degree in Electronic and Information Engineering from Toyohashi University and Technology, Japan, in 2006 and his M.S. degree from the same university in 2003. He received his B.S. degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology in 1997. He was a recipient of the Japan Society for Promotion and Science (JSPS) fellowship from the Ministry of Education, Culture, Sports, Science and Technology, Japan. His research interests include AI, signal processing, machine learning, IoTs, medical signal and image analysis, and biometrics. Prof. Ghulam has authored and co-authored more than 300 publications, including IEEE, ACM, Springer, and Elsevier journals and flagship conference papers. He owns three U.S. patents. He received the best faculty award of Computer Engineering department at KSU during 2014-2015. He has supervised more than 25 Ph.D. and Master Theses. 

He is a Highly Cited Researcher 2023 according to the Web of Sciences (Clarivate).

Clarivate Analytics H-index: 61; Google Scholar H-index: 83 (as of 14 October 2024)

https://www.webofscience.com/wos/author/record/H-5884-2011

https://scholar.google.com.sg/citations?user=mmKu4-EAAAAJ&hl=en

areas of expertise

  • Artificial Intelligence
  • Machine Learning
  • Medical Image Processing
  • Biometrics
  • Smart Healthcare and IoTs

publications
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courses
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course

CEN465 - Digital Image Processing B.Sc. in Computer Engineering Credit hour: 3; three hours lecture and one hour tutorial per week Prerequisite: CEN352 (Digital Signal Processing…

course

Prospective Thesis / Project / Independent Research Study Students Students are welcome to take Ph.D. or Masters Project / Thesis / Independent Research Study with me.…

course

Masters Course, 3 credit hours Short description: Discrete time signals, Z-transforms, discrete Fourier transforms (DFT), Fast Fourier transforms (FFT),…