Research Intern at King Abdullah University of Science and Technology (KAUST), The Hong Kong University of Engineering and Technology

Research Interests

  • Semi-blind Channel and Data Recovery in OFDM.
  • Statistical signal processing.
  • Computational biology.
  • Communication.

Awards and Distinctions

  • Hong Kong PhD Fellowship, Hong Kong University of Science and Technology, 2012
  • Scholarship for pursuing MS in Electrical Engineering., King Fahd University of Petroleum & Minerals., 2006
  • Scholarship, NED University of Engineering & Technology, 2005

Qualifications

Education

Doctor of Philosophy (Ph.D.)
Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 2016
Master of Science (M.S.)
Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2008
Bachelor of Engineering (B.Eng.)
Electronics, NED University of Engineering and Technology, Pakistan, 2006

Languages

Arabic
Elementary proficiency
English
Professional working proficiency
Urdu
Native or bilingual proficiency

Selected Publications

  • Quadeer, A. A., Morales-Jimenez, D. ., & McKay, M. R. (2019). RocaSec: a standalone GUI-based package for robust co-evolutionary analysis of proteins. Oxford Academic.
  • Ahmed, S. F., Quadeer, A. A., Morales-Jimenez, D. ., & McKay, M. R. (2019). Sub-dominant principal components inform new vaccine targets for HIV Gag. Oxford Academic.
  • Quadeer, A. A., Morales-Jimenez, D. ., & McKay, M. R. (2017). A tailored sparse PCA method for finding vaccine targets against Hepatitis C. 2016 50th Asilomar Conference on Signals, Systems and Computers. Presented at the. Pacific Grove, CA, USA: IEEE.
  • Owodunni, D. S., Ali, A. ., Quadeer, A. A., Al-Safadi, E. B., Hammi, O. ., & Al-Naffouri, T. Y. (2014). Compressed sensing techniques for receiver based post-compensation of transmitter’s nonlinear distortions in OFDM systems.
  • Quadeer, A. A., H. Y. Louie, R. ., Shekhar, K. ., Chakraborty, A. K., Hsing, I. ., & McKay, M. R. (2014). Discovering statistical vulnerabilities in highly mutable viruses: A random matrix approach. 2014 IEEE Workshop on Statistical Signal Processing (SSP). Presented at the. Gold Coast, QLD, Australia: IEEE.