Professor Sridha Sridharan

Profile image of Professor Sridha Sridharan

Faculty of Engineering,
School of Electrical Engineering & Robotics


Personal details

Positions

Principal Research Fellow
Faculty of Engineering,
School of Electrical Engineering & Robotics
Emeritus Professor
Administrative Division,
Human Resources

Keywords

Computer Vision, Machine Learning, Deep Learning, Neural Networks, Image Processing, Pattern Recognition, Biometrics, Surveillance, Speaker Recognition, Speech Recognition

Discipline

Artificial Intelligence and Image Processing

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD (University of New South Wales)
  • MSc (Victoria University of Manchester)

Professional memberships and associations



For more information on Prof Sridha Sridharan research activities visit website:
https://research.qut.edu.au/saivt/

Teaching

Professor Sridha Sridharan is currently a full-time researcher at QUT and his teaching involves supervision of PhD students in the areas of AI, Computer Vision, Machine Learning and Signal Processing within the SAIVT Research Program which he leads. A major focus of Prof Sridharan’s research is in applying Deep Machine Learning techniques to solve real world problems in Computer Vision and Speech and Language Processing. More details about the SAIVT research program can be found in: https://research.qut.edu.au/saivt/  

Currently we are looking to recruit PhD students in the areas of computer vision, deep machine  learning, and all areas of speech technology including speech and speaker recognition. Scholarships are available to outstanding domestic and international students covering living allowance, tuition fees and health cover. To apply contact Professor Sridha Sridharan at s.sridharan@qut.edu.au

Publications

QUT ePrints

For more publications by Sridha, explore their research in QUT ePrints (our digital repository).

View more publications

Research projects