Research interests

• Bayesian inference and meta-level tracking (e.g. intent prediction, anomaly detection, multi-target tracking and sensor data fusion).
• Sub-Nyquist data acquisition and processing (compressed sensing, alias-free sampling and finite rate of innovation).
• Supervised learning (e.g. for automatic object recognition) from noisy multivariate time series data.
• Radar signal processing.
• Cognitive radio: dynamic spectrum access, baseband processing and prototypes.
• Human computer interaction, mainly under the influence of pertubrations, multimodal HCI and VR/AR-HUDs.

Role and responsibilities

Bashar is a senior research fellow at the Engineering Department, and was elected in 2016 as a Research Fellow (JRF) of Wolfson College, Cambridge University. He received his B.Eng. (Hons.) in electronic engineering in 2007 and a Ph.D. degree in statistical inference in 2011; both from the University of Westminster, U.K. He also undertook the Msc Communications and Signal Processing (electives) at Imperial College London, U.K.

Prior to joining SigProC, Bashar was a postdoctoral researcher at Imperial College London. He was a project manager at BT (DSPG) in London between 2011 and 2012. Bashar also worked previously as a R&D engineer with the RF systems and architectures research group at NXP Semiconductors, Redhill, U.K., and as a SoC design engineer at PHILIPS Semiconductor, Southampton, U.K.