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Research Interests

  • Digital Signal Processing: wavelet transform; digital filtering; statistical signal processing; audio signal processing; mechanical signal processing (fault detection), biomedical signal processing (e.g. ECG, EEG, EMG, GSR); real-time signal processing.
  • Machine Learning: Support Vector Machine (SVM); kernel methods; artificial neural networks; genetic algorithm; genetic programming, feature selection and fusion; Bayesian methods; Hidden Markov Model (HMM); deep learning; Long Short Term Memory (LSTM), Convolutional Neural Network (CNN), Generative Adversarial Network (GAN), multi-label classification; statistical learning theory; multi-score learning, multiple classifier system, decision fusion, data mining, regression, spiking neural networks, neuromorphic computing.
  • Human Computer Interaction: affective computing; emotional states recognition; facial expression analysis; multi-model interaction; movement modelling; gesture recognition, ubiquitous and pervasive computing; robot; self-driving car, ambient intelligence; multimodal emotional interaction system; interactive film; and virtual reality (VR).
  • Computer Vision: biologically inspired vision systems; dynamic motion feature extraction; human action recognition; object detection; object tracking; visual surveillance; image compression; large scale image categorization; image segmentation; real-time image processing; medical image processing (CT, fMRI); embedded vision systems; 3D image processing, Holoscopic imaging; autonomous driving systems.
  • Embedded Systems and Communications: FPGA; microcontroller (PIC, ARM); DSP (TI); smart phones; tablet; game consoles, SoC (System on Chip), IoT (Internet of Things), Controller Area Network (CAN), wireless networks and communication (ZigBee, Bluetooth, OOK, visible light communication, mmWave communication).

Research grants and projects

Research Projects


Intergration and testing of a cochlear implant insertion robot
Funder: The Royal National Institute for Deaf People
Duration: April 2024 - March 2027

The aim of this research is to integrate novel sensing and robotics technologies to place the electrode array at an optimal position and reduce the disturbance and the damage within the cochlear during the insertion process.

Smart Portable and Fast Acute Myocardial Infarction Detection Device for Ambulance Crew Use
Funder: Engineering and Physical Sciences Research Council
Duration: April 2023 - September 2024

In a ground-breaking stride towards revolutionizing cardiac emergency care, Professor Wamadeva Balachandran and his illustrious team at Brunel University London, in collaboration with Harefield Hospital, are spearheading the development of an innovative, life-saving device. This compact, pioneering technology stands poised to transform the way heart attacks are detected – swiftly and accurately, even before a patient reaches the hospital. This remarkable innovation is more than a leap in medical technology; it's a testament to the relentless pursuit of excellence and compassion in healthcare. As this device moves closer to becoming a staple in ambulances, it holds the promise of safeguarding hearts and saving lives, heralding a new era of responsive and advanced emergency cardiac care.

Physics-informed trustworthy fault diagnosis for helicopter transmission systems
Funder: Royal Society
Duration: March 2023 - March 2025
Daily activities matter: Post COVID Lifestyle and Mental Wellbeing
Funder: Brunel Institute of Communities and Society (ICS)
Duration: January 2023 - June 2023
'Natural’ participatory online interactions
Funder: Brunel Research Interdisciplinary Lab (BRIL)
Duration: January 2023 - June 2023
New Advanced Millimetre-wave Imaging with MIMO Sparse Array
Funder: Brunel Research Development Fund
Duration: October 2021 - April 2023
Spiking Sparse Distributed Memory Model and Its Implementation on Loihi Architecture
Funder: Intel Corporation
Duration: August 2018 - December 2022
Framework for image segmentation based on multi-scale feature learning
Funder: Royal Society
Duration: March 2018 - March 2020
IoRL: Internet of Radio Light
Funder: European Commission Directorate-General for Research and Innovation
Duration: June 2017 - May 2020

Differential Geometry and Deep Learning for Dynamic Facial Expression Analysis
Funder: Royal Society
Duration: March 2017 - March 2019
Distinguished Visiting Fellowships - Round 5
Funder: Royal Academy of Engineering
Duration: August 2016 - August 2016
Image Analysis for Complex Data in Non-Destructive Testing (NDT)
Funder: Engineering & Physical Sciences Research Council
Duration: March 2016 - September 2019
NSIRC TWI Studentship
Funder: TWI Ltd
Duration: March 2016 - February 2019
EPSRC Industrial Case PhD Studentship
Funder: Engineering and Physical Sciences Research Council
Duration: February 2016 - September 2019

collaboration with TWI

MARA Scholarship for PhD Study (4 Years)
Funder: Majlis Amanah Rakyat (MARA),
Duration: March 2014 - February 2018

sponsership includes tuition fee and monthly allowance for 4 years

Facial Expresion Recognition from 2D and 3D Videos
Funder: SED of Brunel & Thomas Gerald Gray
Duration: October 2013 - September 2016
Automatic Emotional State Detection and Analysis on Embedded Devices
Funder: Brunel Research Initiative & Enterprise Fund
Duration: November 2012 - October 2013