Muhamad Felemban obtained his Master's degree in Computer Science under the supervision of Professor Basem Shihada at King Abdullah University of Science and Technology (KAUST) in 2011. Muhamad received a B.S. degree from King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, in 2008, and a Ph.D. degree from the School of Electrical and Computer Engineering, Purdue University, in 2018. Currently, he is an Assistant Professor in the Computer Engineering department at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia.

Master's Thesis title: "Optimal Node Placement in Underwater Acoustic Sensor Network."

Research Interest

Muhamad's research interests included data security and privacy, security of data management systems, security of cloud and fog computing, privacy-preserving big data analytics.

Education Profile

  • PhD., Electrical and Computer Engineering, Purdue University, United States, 2018
  • M.Sc., Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2011
  • B.Sc., Computer Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, 2008

Selected Publications

Felamban, M., Shihada, B., & Jamshaid, K. (2013). Optimal Node Placement in Underwater Wireless Sensor Networks. 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA). doi:10.1109/aina.2013.40
Felemban, M. (2011). Optimal Node Placement in Underwater Acoustic Sensor Network, (Thesis). https://hdl.handle.net/10754/209373