Professor Eliathamby Ambikairajah

Professor Eliathamby Ambikairajah

Professor
  • PhD, (Signal Processing), University of Keele, UK, 1982.
  • Postgraduate Diploma, (Electronic Engineering) Philips International Institute (PII), Holland, 1978
  • BSc (Eng) (Electronics and Telecommunications), University of Sri Lanka, Moratuwa Campus, 1974
Engineering
Electrical Engineering and Telecommunications

Professor Eliathamby Ambikairajah

BSc (Eng), PhD, FIET, CEng, FIEAust, CPEng, SMIEEE

Former Acting Deputy Vice-Chancellor (Innovation & Enterprise) (2020-2021)
Former Head of School of Electrical Engineering & Telecommunications (2009 - 2019)

Professor Eliathamby Ambikairajah received his BSc (Eng) (Hons) degree from the University of Sri Lanka and received his PhD degree in Signal Processing from Keele University in the UK. He was appointed as Head of Electronic Engineering and later De...

Phone
+61 (2) 9385 4002
E-mail
e.ambikairajah@unsw.edu.au
Location
School of Electrical Engineering and Telecommunications (Building G17) Level 2, Room 226 Kensington Campus

ARC Discovery Project (2021 – 2023), 1st CI

ARC Discovery Project (2019 – 2021), 1st CI

CSIRO/DATA61 collaborative research project (2019 -2022), 1st CI

ARC LIEF Grant (2019-2023)

US Army Collaborative research project (2022-2023), 3rd CI

US Army Collaborative research project (2020-2021), 3rd CI

ARC Linkage Project (2012-2014), 3rd CI

ARC Discovery Project (2011-2013), 2nd CI

ARC Linkage Project (2010-2013), 3rd CI

UNSW Faculty of Engineering Goldstar (2013), 1st CI

NeCTAR Research Award (2013)

ARC Linkage Project (2008-20011), 3rd CI

ARC LIEF grant (2010)

FRG research Grant (2007), 1st CI

ARC Linkage Grant (2006-2008), 1st CI

RIBG Grant (2008), 2nd CI

  • UNSW President's People’s Choice Award (2019)
  • UNSW Excellence in Senior Leadership Award (2014)
  • UNSW Vice-Chancellor’s Award for Teaching (2004).
  • School Teaching Excellence Award (UNSW) (2003)
  • School Academic Management Award (UNSW) (2001)
  • IEE Younger Members (UK) Award for the best research paper (1982)

My expertise lies in speech signal processing, focusing on speaker recognition (voice biometrics), language identification, speech-based emotion recognition, speaker separation, cochlear modelling, AI and machine learning, and engineering education.

Internationally recognised for my contributions to developing auditory models, both passive and active, I have led the integration of machine learning with auditory models to create machines with selective auditory attention capabilities.

I have significant expertise, gained over many years of experience, in signal processing algorithm development as well as building large scale machine learning models and robust speech processing adaptive front-ends.

Currently, I am working on an intelligent auditory model to enhance voice biometrics and cochlear sound processing hardware. My extensive experience in voice biometric systems, cochlear modelling, and deep learning positions me well to contribute to the development of intelligent biometric systems.

Speech Processing and Auditory Modelling Research Laboratory:  http://cochlear-signal-processing-lab.ee.unsw.edu.au/   

My Research Supervision

  • Currently supervising 3 PhD students and 3 Postdocs,
  • Have supervised 25 PhD students and 17Masters (by research) to successful completion as principle supervisor
  • Have also supervised 9 postdocs over the past 10 years
  • Have been a PhD examiner for more than 25 PhD theses

My Teaching

  • Digital Signal Processing
  • Speech Processing
  • Telecommunications
  • Circuits and Systems
  • Electronics
  • Electrical Systems Design
  • Electrical Engineering Design Proficiency
  • Ethics and Leadership