statistical signal processing

PhD EE student Mudassir Masood from Prof. Tareq Al-Naffouri's group wins best poster award at ICCSPA'13

1 min read · Tue, Feb 26 2013

Distribution Agnostic Bayesian Estimation of Sparse Signals communications tracking statistical signal processing

Mudassir Masood, a Ph.D. student in Electrical Engineering (EE) at the CEMSE division, received the best poster award at the International Conference on Communications, Signal Processing, and Their Applications (ICCSPA), held 11-14 February 2013 in Sharjah, UAE.

Tareq Al-Naffouri

Professor, Electrical and Computer Engineering

statistical signal processing communications tracking wireless networks Localization

Professor Al-Naffouri's research focuses on designing and analyzing wireless communication systems, particularly spectrum sharing, cognitive radio, energy efficiency and security within the context of advanced technologies like 5G.

Syed Faraz Ahmed

Intern, Electrical and Computer Engineering

channel estimation Deconvolution in UWB Computational Immunology statistical signal processing Bio-Medical Signal Processing Computational Neuroscience

Intern at King Abdullah University of Science and Technology (KAUST),

Osama Bushnaq

Ph.D. (former), Electrical and Computer Engineering

statistical signal processing wireless sensor networks networks and wireless communications Unmanned aerial vehicles UAVs enabled wireless networks Stochastic Geometry IoT 5G/6G

Ph.D. degree in electrical engineering at the King Abdullah University of Science and Technology (KAUST)

Mohammed Ahmed

Postdoctoral Research Fellow (former), Information Science Lab

statistical signal processing Wireless Communications wireless sensor networks IoT cloud computing

post-doctoral fellow at L'École de technologie supérieure (ETS) de Montréal (Mtl) where he started on February 2014. he works with Prof. Georges Kaddoum.

Khalil Elkhalil

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning high dimensional statistics data science Random Matrix Theory Selected Applications statistical signal processing Supervised Learning Algorithms Feedback Reduction in Multiuser and Relay Networks

PhD degree candidate of the Electrical Engineering, King Abdullah University of Science and Technology.

Ayed M. Alrashdi

Ph.D. Student (former), Electrical and Computer Engineering

statistical signal processing Compressive Sensing high dimensional statistics mathematical optimization statistical learning Wireless Communications

Ph.D. degree in electrical and computer engineering from the King Abdullah University of Science and Technology (KAUST) working with Professor Tareq Al-Naffouri in the Information System Lab (ISL),Assistant Professor with the Electrical Engineering Department at University of Ha'il

Ahmed Abdul Quadeer

Intern, Information Science Lab

Semi-blind Channel and Data Recovery in OFDM statistical signal processing Computational biology communication

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