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The Signal Processing & Communication (SP-COM) Research Group conducts research activities that focus on statistical modelling of dynamic systems in space and time. The group has a particular interest in developing and applying the theory and methods of stochastic processes to a wide range of application domains. Specific recent applications include:
modelling of epidemics
modelling of neural spiking activity
reconstruction of transcriptional regulatory networks
mapping information flows in financial markets
Research interests:
nonlinear programming
nonsmooth analysis and optimisation
geometric optimisation
cognitive radios
5G heterogeneous cellular networks
vehicular ad-hoc networks
Statistical Signal Processing
Recent advances in technology have made it possible to acquire unprecedented amounts of data recording complex interactions such as neuronal firings in the brain, transcriptional factor bindings along a genome and trade events at ultra-high frequencies in financial markets. The huge data dimensions create new challenges for analyzing these data. These challenges create new problems at the intersection of machine learning and signal processing and are expected to advance our understanding in diverse areas such as systems neuroscience, genomics and financial econometrics. This work has been funded by grants from the Australian Research Council and the Higher Education Commission.
M. Siddiq & S.A. Pasha, "Fast Sparse Magnetic Resonance Image Reconstruction via a Dual Formulation," in Proc. 20th IBCAST, Aug 2023.
M. Siddiq & S.A. Pasha, "Fast Sparse Magnetic Resonance Image Reconstruction," in Proc. 19th IBCAST, Aug, 2022.
S.A. Pasha, V. Solo & B. Godoy, "An EM Algorithm for the Time-Variant Vector Hawkes Process'', in Proc. 59th IEEE CDC, Dec 2020.
S.A. Pasha and V Solo, "Sparse Topology Identification for Point Process Networks," in Proc. 43rd IEEE ICASSP, Apr 2018.
V. Solo and S.A. Pasha, "Point-Process Principal Components Analysis via Geometric Optimization", Neural Computation, vol.25(1), 2013.
Information & Coding Theory
V. Solo and S.A. Pasha, "Partial Trajectory Mutual Information Flow in a Small Point Process Network,'' in Proc. 60th IEEE CDC, Austin, Texas, Dec 2021.
S.A. Pasha and V. Solo, "Mutual Information Flows in a Bivariate Point Process," in Proc 46th IEEE ICASSP, Toronto, Ontario, Canada, Jun 2021.
M. Danish, S.A. Pasha & A Hashmi, "Quasi-Cyclic LDPC Codes for Short Block-Lengths," in Proc. 42nd IEEE Aerospace Conf, Mar 2021.
M. Danish, S.A. Pasha & A Hashmi, "Prototype Design of a Software Defined Radio Based SATCOM Modem," in Proc. 42nd IEEE Aerospace Conf, Mar 2021.
Adaptive Signal Processing
M.O.B. Saeed, A. Zerguine, U. Hameed, S.G. Khawaja & O. Hammi, "An incremental noise constrained LMS algorithm," Signal Processing, vol. 213: 109187, 2023.
S.A. Pasha, M.O.B. Saeed & A. Zerguine, "On the Time-Variant Step Size Posterior LMS Algorithm," in Proc. 20th IBCAST, Aug 2023.
M.O.B. Saeed, S.A. Pasha, & A Zerguine, "A variable step-size incremental LMS solution for low SNR applications," Signal Processing, vol. 178, Jan 2021.
S.A. Pasha, and V Solo, "Adaptive Estimation of a Vector Point Process Model," in Proc. 58th IEEE CDC, Nice, France, Dec 2019.
Recent research projects have been supported by grants from the Australian Research Council and the Higher Education Commission. We are collaborating with The University of New South Wales, Australia.
Heterogeneous Cellular Networks
We are working in cognitive radios, femtocell networks, cognitive radio femtocell networks, beamforming, and 5G communication technologies.
B. R. Alyaei, I. M. Qureshi, S. Saleem, S. H. Abbassi, "Offloading With Hybrid Cell Association in Non-Uniform Heterogeneous Cellular Networks: Modeling and Performance Analysis," IEEE Access, 2019.
A. Salman, I. M. Qureshi, S. Saleem, S. Saeed, "Spectrum Sensing in Cognitive FemtoCell Network Based on Near-Field Source Localization Using Genetic Algorithm," IET Communications. 2017.
A. Salman, I. M. Qureshi, S. Saleem, S. Saeed and B. R. Alyaei, "Novel sensing and joint beam and null steering-based resource allocation for cross-tier interference mitigation in cognitive femtocell networks," Wireless Networks, Springer. 2017.
Vehicular Ad-Hoc Networks (VANETS)
We are working in ad-hoc vehicular networks, more specifically, in cognitive radio VANETS, history based spectrum sensing and allocation, cognitive radio channel allocation using fuzzy logic in VANETS.
S. H. Abbassi, I. M. Qureshi, H. Abbasi and B. R. Alyaie, “History Based Spectrum Sensing in CR-VANETs,” EURASIP Journal on Wireless Communication and Networking 2015, 2015:163.
S. H. Abbassi, I. M. Qureshi, B. R. Alyaei, H. Abbasi and K. Sultan, “An Efficient Spectrum Sensing Mechanism for CR-VANETs,” Journal of Basic and Applied Scientific Research, vol. 12, no. 3, pp. 365-378, 2013.
People
People
Dr Syed Ahmed Pasha (Head of Group)
Associate Professor
Research Areas: Statistical signal processing, statistical (machine) learning, optimization
Assistant Professor
Research Areas: Resource allocation, 5G/6G cellular networks
Research Assistant
Assistant Professor
Research Areas: Cognitive radios, femtocells
Research Assistant
Assistant Professor
Research Areas: Steganography, image processing
EE 631 Advanced Digital Communications I
EE 632 Adaptive Signal Processing
EE 636 Advanced Mobile Communications
EE 652 System Identification
EE 733 Adaptive Digital Signal Processing II
EE 734 Advanced Digital Communication II
EE 776 Machine Learning
EE 778 Graphical Models
EE 831 Advanced Wireless Technologies
EE 834 Statistical Signal Processing
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