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Staff profiles

Personal details

Name
Emeritus Professor Sridha Sridharan
Position(s)
Adjunct Professor
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
Emeritus Professor
Administrative Services,
Human Resources Department,
HR Client Services
Discipline *
Artificial Intelligence and Image Processing
Phone
+61 7 3138 2113
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
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/

Keywords

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

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

Biography

Prof Sridha Sridharan is the Program Leader of the Signal Processing, Artificial Intelligence and Vision Technologies (SAIVT) Research Program at QUT.

Please see Google Scholar for Prof Sridha Sridharan’s areas of research interest and publications:

https://scholar.google.com.au/citations?hl=en&user=v8-lMdUAAAAJ

If  interested in undertaking PhD research at QUT in the areas of Artificial Intelligence,  Computer Vision, Machine Learning or in the area of Signal Processing  please go to our SAIVT Research  Program website:

https://research.qut.edu.au/saivt/

Professor Sridharan has received grants for his research in excess of $20M from competitive and industry funding sources. He has received 10 Australian Research Council (ARC) grants (7 ARC Discovery/Large and 12 ARC Linkage/Collaborative/APAI);Prof Sridharan has supervised 86 PhD students at QUT (as a Principal or active Associate Supervisor) in the area of Image and Speech Technologies. He has published over 400 papers consisting of 9 book chapters, 104  journal articles and over 300 refereed international conference publications the areas of Speech and Image technologies.

Prof Sridharan is currently engaged in research in the following areas:

Image and Video Technology – Computer Vision and Machine Learning: Computer Vision; Video Surveillance; Multi-camera management; Crowd Monitoring; Abnormal Event Detection;Person Detection and Tracking;Vehicle Detection and Tracking; Video Event Detection; Human Identification at Distance; Soft Biometrics;  Multimodal Biometrics; Anti-spoofing Biometrics; Iris Recognition at a Distance; Gait Recognition; 2-D and 3-D Face Recognition – Cooperative and Uncooperative; Facial Expression Recognition; Face Clustering and diarisation; Human Action Recognition;Object recognition and scene understanding; Multispectral and hyperspectral image analysis; Sports analytics;Image analysis for unmanned aircrafts; 3-D modelling of objects and scenes; Robot navigation and robot-human interaction; Video indexing, search, retrieval and summarisation.

Speech and Audio Technology: Signal Processing and Recognition:Speech Detection,  Speech Enhancement Single/Multi-microphone; Language Identification; Speaker Verification and Identification; Speech Recognition; Key Word Spotting/Spoken Term Detection; Speaker Indexing/Diarisation/Segmentation/Clustering ;Speaker Role Detection; Multimodal Speech Processing (audio and video);Speech Emotion Detection. For more details see:

https://research.qut.edu.au/saivt/

This information has been contributed by Emeritus Professor Sridha Sridharan.

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

This information has been contributed by Emeritus Professor Sridha Sridharan.

Experience

https://research.qut.edu.au/saivt/

This information has been contributed by Emeritus Professor Sridha Sridharan.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
Unlocking Mass Mobile Video Analytics with Advanced Neural Memory Networks
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP200101942
Start year
2020
Keywords
Title
One shot three-dimensional reconstruction of human anatomy and motion
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP170100632
Start year
2017
Keywords
Title
Improving Productivity and Efficiency of Australian Airports - A Real Time Analytics and Statistical Approach
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP140100282
Start year
2015
Keywords
Bayesian Networks; Video Analytics; Operations Management
Title
Monitoring intuitive expertise in the context of airport security screening
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP140100221
Start year
2015
Keywords
Intuitive Expertise; Airport Security; Automated Monitoring
Title
Solve it or Ignore it? The Challenge of Alignment Distortion and Creating Next Generation Automatic Facial Expression Detection
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP140100793
Start year
2014
Keywords
Face Processing; Face Recognition; Computer Vision
Title
The next generation speaker recognition system
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP130100110
Start year
2013
Keywords
Speaker verification; speech processing; signal processing
Title
Omniscient Face Recognition for Uncooperative Subjects
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP110100827
Start year
2011
Keywords
Face Recognition; Computer Vision; Biometrics; Image Processing
Title
Intelligent Surveillance Research for Crowd Monitoring and Event Detection
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
PR09-0089
Start year
2010
Keywords
Video Surveillance; Video Event Detection
Title
Airports of the Future
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0990135
Start year
2009
Keywords
Complex Systems Engineering; Airport Operations Management; Business Process Modelling; Surveillance and Identity Management; Human Systems Interaction; Risk and Emergency Management;
Title
Robust Automatic Speaker Diarisation of Audio Documents by Exploiting Prior Sources of Information
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0991238
Start year
2009
Keywords
Speaker Diarisation; Speaker Recognition; Speaker Identification; Speech Processing; Signal Processing; Pattern Recognition;

Supervision

  • We are currently seeking outstanding candidates to undertake  PhD research in the areas of Artificial Intelligence, Image Processing, Computer Vision, Machine Learning and Speaker Recognition.

    For more details and available scholarships please see:

    https://research.qut.edu.au/saivt/

     

Current supervisions

Completed supervisions (Doctorate)