Signal Processing and Communications Laboratory

Department of Engineering

Bashar I. Ahmad

Background - Research - Publications

Position: Senior Research Fellow

Office Location: BN3-07, SigProC Laboratory, Baker Building, CUED.

Work Telephone: +44(0)122 333 2768

E-mail: b.i.ahmad@eng.cam.ac.uk

Background

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

Prior to joining SigProC, Bashar was a postdoctoral researcher in the Signal Processing and Communications (CSP) research group at Imperial College London. He was a project manager at DSPG Telecom Ltd in London between 2011 and 2012. Bashar also previously worked as a SoC engineer at Philips Semiconductor, Southampton, U.K., and as a research assistant with the RF systems and architectures research group at NXP Semiconductors, Redhill, U.K.

Research Interests

- Bayesian inference and tracking, mainly for data analytics, intent inference, meta-tracking, anomaly detection and behaviour learning/modelling.

- Data fusion from heterogeneous asynchronous sources.

- Sub-Nyquist signal processing (compressed sensing, alias-free sampling and finite rate of innovation) and its applications in defence, communications and data acquisition systems.

- Tracking dynamic sparse signals and non-linear optimization methods.

- Wireless communications, mainly cognitive radio, dynamic spectrum access, baseband processing, and prototypes.

- Novel human computer interaction concepts including multimodal HCI under perturbations due to situational or health-disability-induced impairment (e.g. in a moving platform/vehicle), 3D and head-up displays and virtual reality.

Publications

Peer-Reviewed Journal/Magazine Articles

  • B. I. Ahmad , James K. Murphy, Simon J. Godsill, Patrick M. Langdon and Robert Hardy, “Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian Framework”, IEEE Signal Processing Magazine, issue 2, vol. 43, pp. 82-94, 2017. [IEEE]
  • B. I. Ahmad , J. Murphy, P. M. Langdon and S. J. Godsill, “Bayesian Intent Prediction in Object Tracking Using Bridging Distributions”, IEEE Transactions on Cybernetics, 2016. [IEEE] [arXiv]
  • A. Tarczynski and B. I. Ahmad , “Estimation of Fourier Transform Using Alias-free Hybrid-Stratified Sampling”, IEEE Transactions on Signal Processing , issue 12, vol. 64, pp. 3065-3076, 2016. [IEEE]
  • B. I. Ahmad , J. Murphy, P. M. Langdon, S. J. Godsill, R. Hardy and L. Skrypchuk, “Intent Inference for Pointing Gesture Based Interactions in Vehicles”, IEEE Transactions on Cybernetics, issue 4, vol. 46, pp. 878 - 889, 2015. [IEEE]
  • B. I. Ahmad and A. Tarczynski, “Spectral Analysis of Stratified Sampling: A Means to Perform Efficient Multiband Spectrum Sensing”, IEEE Transactions on Wireless Communications , issue 1, vol. 11, pp. 178-187, 2012. [IEEE]
  • B. I. Ahmad and A. Tarczynski, “A SARS Method for Reliable Spectrum Sensing in Multiband Communication Systems”, IEEE Transactions on Signal Processing , issue 12, vol. 59 , pp. 6008-6020, 2011. [IEEE]
  • B. I. Ahmad and A. Tarczynski, “Wideband Spectrum Sensing Technique Based on Random Sampling on Grid: Achieving Lower Sampling Rates”, Digital Signal Processing, Elsevier, vol. 90, pp. 466-476, 2011. [Elsevier]
  • B. I. Ahmad and A. Tarczynski, “Reliable Wideband Multichannel Spectrum Sensing Using Randomized Sampling Schemes”, Signal Processing, Elsevier, vol. 90, pp. 2232-2242, 2010. [Elsevier]

Book and Book Chapters

  • H. Sun, C. Wang and B. I. Ahmad. From Internet of Things to Smart Cities: Enabling Technologies, Taylor and Francis Group: CRC Press, 2017. [CRC Press]
  • B. I. Ahmad , P. M. Langdon and S. J. Godsill. Applying Bayesian Modelling for Inclusive Design under Health and Situational Induced Impairments: An Overview. Book chapter in Virtual Reality , Nova Science Publishers, 2017. ISBN: 978-1-53612-040-0.
  • B. I. Ahmad, H. Sun, C. Ling and A. Nallanathan. Paving A Wider Way for Multimedia Over Cognitive Radios: An Overview of Wideband Spectrum Sensing Algorithms. Book chapter in Multimedia Over Cognitive Radio Networks: Algorithms, Protocols, and Experiments, Taylor & Francis: CRC Press, 2014. [Chapter Manuscript]

Peer Reviewed Conference Papers

  1. B. I. Ahmad, P. M. Langdon, Lee Skrypchuk and Simon J. Godsill, “How Does Eye-Gaze Relate to Gesture Movement in an Automotive Pointing Task?”, to appear in the Proc. of the 8th International Conference on Applied Human Factors and Ergonomics (AHFE 2017), LA, 2017.
  2. H. Buchner, K. Helwani, B. I. Ahmad, and S. J. Godsill, “Low-Complexity Multichannel Adaptive Filtering in Compressive Domains”, to appear in the Proc. of 42nd IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP '17), New Orleans, 2017.
  3. T. Ardeshiri, B. I. Ahmad, P. M. Langdon and S. J. Godsill, “Efficient Bridging-based Destination Inference in Object Tracking ”, to appear in the Proc. of 42nd IEEE International Conference on Acoustics, Speech and Signal Processing Conference (ICASSP '17), New Orleans, 2017
  4. B. I. Ahmad and A. Tarczynski, "A Novel Sub-Nyquist Fourier Transform Estimator Based on Alias-free Hybrid Stratified Sampling", Proc. of 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '16), Shanghi, 2016.
  5. B. I. Ahmad , P. M. Langdon and S. J. Godsill, “You Do Not Have to Touch to Select: A Study on Predictive In-car Touchscreen with Mid-air Selection”, Proc. of the Int. Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '16), MI, USA, 2016 .
  6. B. I. Ahmad, P. M. Langdon and S. J. Godsill, “Applying Bayesian Modelling for Inclusive Design under Health and Situational Induced Impairments”, Proc. of the 11th International Conference on Disability, Virtual Reality & Associated Technologies (ICDVRAT), LA, USA, 2016.
  7. B. I. Ahmad , J. K. Murphy, P. M. Langdon and S. J. Godsill, “Predictive Pointing from Automotive to Inclusive Design”, Proc. of the 18th International Conference on Human Computer Interaction (HCII ’16) , 2016.
  8. B. I. Ahmad , J. Murphy, P. M. Langdon and S. J. Godsill, “Destination Inference Using Bridging Distributions”, Proc. of 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '15), Brisbane, 2015.
  9. B. I. Ahmad , P. M. Langdon, S. J. Godsill, R. Hardy and L. Skrypchuk, “Intelligent In-Vehicle Touchscreen Aware of the User Intent: A Pilot Study”, Proc. of the Int. Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '15), 2015.
  10. B. I. Ahmad , P. M. Langdon, S. J. Godsill, R. Hardy, L. Skrypchuk and R. Donkor, “Touchscreen Usability and Input Performance in Vehicles under Different Road Conditions: An Evaluative Study”, Proc. of the Int. Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '15), 2015 .
  11. B. I. Ahmad , P. M. Langdon and S. J. Godsill, “Intelligent Intent-aware Touchscreen Systems Using Gesture Tracking with Endpoint Prediction”, Proc. of the 17th International Conference on Human Computer Interaction (HCII ’15) , 2015.
  12. B. I. Ahmad , J. Murphy, P. M. Langdon and S. J. Godsill, “Filtering Perturbed in-vehicle pointing gesture trajectories: Improving the reliability of the intent inference”, Proc. of the IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP ’14), 2014.
  13. B. I. Ahmad , J. Murphy, P. M. Langdon and S. J. Godsill, “Bayesian Target Prediction From Partial Finger Tracks: Aiding Interactive Displays in Vehicles”, Proc. of the 17th Int. Conference on Information Fusion (Fusion ‘14), 2014.
  14. B. I. Ahmad , P. M. Langdon, S. J. Godsill, Robert Hardy, E. Dias, L. Skrypchuk, “Interactive Displays in Vehicles: Improving Usability with a Pointing Gesture Tracker and Bayesian Intent Predictors", Proc. of Int. Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '14), 2014 .
  15. B. I. Ahmad , P. Langdon, P. Bunch and S. Godsill, “Probabilistic Intentionality Prediction for Target Selection Based on Partial Cursor Tracks”, Proc. of the 16th International Conference on HCI (HCII '14) , 2014.
  16. B. I. Ahmad, W. Dai and C. Ling, “Model-based Compressive Harmonics-aware Matching Pursuit: An Evaluation”, Proc. of the 47th Annual Asilomar Conference on Signals, Systems, and Computers, CA, 2013.
  17. M. Al-Ani, B. I. Ahmad and A. Tarczynski, “Non-Compressive Wideband Spectrum Sensing With Sub-Nyquist Sampling Rates”, Proc. of the 47th Annual Asilomar Conference on Signals, Systems, and Computers, CA, 2013.
  18. B. I. Ahmad, M. Al-Ani, A. Tarczynski, Wei Dai and Cong Ling, “Compressive and Non-compressive Wideband Spectrum Sensing at Sub-Nyquist Rates”, Proc. of the European Signal Processing Conference (EUSIPCO ‘13), Marrakech, 2013.
  19. T. Weber, B. I. Ahmad and M. Ihle, “Sub-Nyquist Sampling for TDR Sensors: Finite Rate of Innovation with Dithering”, Proc. of the International Workshop on Compressed Sensing Applied to Radar , Bonn, 2013.
  20. B. I. Ahmad, W. Dai and C. Ling, “Efficient Matching Pursuit Reconstruction Algorithm for Harmonic Signals in Compressive Sensing”, Proc. of the 8th IMA Conf. on Mathematics in Signal Processing, Birmingham, UK, 2012.
  21. B. I. Ahmad, W. Dai and C. Ling, “Reliable Sub-Nyquist Wideband Spectrum Sensing Based on Randomised Sampling”, Proc. of the International Workshop on Compressed Sensing Applied to Radar , Bonn, 2012.
  22. B. I. Ahmad and A. Tarczynski, “A SARS Multiband Spectrum Sensing Method in Wideband Communication Systems Using RSG”, Proc. of the 19th Europ. Signal Processing Conf. (EUSIPCO‘11 ), Barcelona, pp. 1219-1223, 2011.
  23. M. Al-Ani, B. I. Ahmad and A. Tarczynski, “ A Novel Fourier Transform Estimation Method Using Random Sampling”, Proc. of the 19th European Signal Processing Conf. (EUSIPCO‘11), Barcelona, pp. 859-863, 2011.
  24. B. I. Ahmad and A. Tarczynski, “A Spectrum Sensing Method Based on Stratified Sampling”, Proc. of the IEEE International Symposium on Circuits and Systems ( ISCAS ‘11 ) , Rio De Janeiro, pp. 402-405, 2011.
  25. B. I. Ahmad and A. Tarczynski, “The Effect of Cyclostationarity on A DASP-Based Spectrum Sensing Method”, Proc. of the 9th International Conference on Sampling Theory and Its Applications , Singapore, 2011.
  26. M. Al-Ani, B. I. Ahmad and A. Tarczynski, “The Effect of Missing Samples on the Quality of the Spectral Analysis”, Proc. of the 9th International Conference on Sampling Theory and Its Applications , Singapore, 2011.
  27. B. I. Ahmad , A. Tarczynski and M. Al-Ani, “A DASP Multiband Spectrum Sensing Method Based on Total Random Sampling on Grid Without Replacement”, Proc. of the 9th International Conference on Sampling Theory and Its Applications (SAMPTA ‘11) , Singapore, 2011.
  28. B. I. Ahmad and A. Tarczynski, “A DASP Approach to Wideband Multichannel Spectrum Sensing”, Proc. of the 18th European Signal Processing Conference (EUSIPCO ‘10) , Aalborg, Denmark, pp. 865-869, 2010.
  29. B. I. Ahmad and A. Tarczynski, “Spectrum Sensing in Multichannel Communication Systems Using Randomized Sampling”, Proc. of the 17th Eur. Signal Processing Conf. (EUSIPCO‘09) , Glasgow, pp.1690-1695, 2009.
  30. B. I. Ahmad and A. Tarczynski, “Evaluation of Several Reconstruction Methods of Band-limited Signals”, Proc. of the IEEE International Conference on Signals, Circuits and Systems , pp.1-5, 2008.

Patent Applications

B. I. Ahmad , P. Langdon, S. Godsill, R. Hardy and L. Skrypchuck, Apparatus and Method for Determining an Intended Target, in collaboration with Jaguar Land Rover, 2014.

Videos

1- Predictive Display

The following video shows an early prototype of a predictive display system, which employs a gesture-tracker in conjunction with suitable Bayesian intent predictors.

The next video shows: 1) various components of the predictive system, 2) selected free hand pointing gestures in a moving car and 3) prediction results, in real-time.

2- Maritime Situational Awareness

Prediction of the intended destination-harbour of a vessel and estimated time of arrival uisng bridging-distributions: