
Emeritus Professor Sridha Sridharan
Science and Engineering Faculty,School of Electrical Engineering & Robotics
Personal details
- Name
- Emeritus Professor Sridha Sridharan
- Position(s)
- Adjunct Professor
Science and Engineering Faculty,
School of Electrical Engineering & Robotics - Emeritus Professor
Faculty of Science,
School of Earth & Atmospheric Sciences - Discipline *
- Artificial Intelligence and Image Processing
- Phone
- +61 7 3138 2113
- s.sridharan@qut.edu.au
- Location
- View location details (QUT staff and student access only)
- Identifiers and profiles
-
- Qualifications
-
PhD (University of New South Wales), MSc (Victoria University of Manchester)
- Professional memberships
and associations - Life Senior Member – IEEE – Institute of Electrical and Electronics Engineers
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
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
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:
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
Experience
Publications
- Thanikasalam K, Fookes C, Sridharan S, Ramanan A, Pinidiyaarachchi A, (2020) Target-specific Siamese attention network for real-time object tracking, IEEE Transactions on Information Forensics and Security p1276-1289
- Park C, Kim S, Moghadam P, Guo J, Sridharan S, Fookes C, (2019) Robust photogeometric localization over time for map-centric loop closure, IEEE Robotics and Automation Letters p1768-1775
- Sha L, Lucey P, Yue Y, Wei X, Hobbs J, Rohlf C, Sridharan S, (2018) Interactive sports analytics: An intelligent interface for utilizing trajectories for interactive sports play retrieval and analytics, ACM Transactions on Computer-Human Interaction p1-32
- Warnakulasuriya T, Denman S, Sridharan S, Fookes C, (2018) Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection, Neural Networks p466-478
- Nguyen Thanh K, Fookes C, Sridharan S, Tistarelli M, Nixon M, (2018) Super-resolution for biometrics: A comprehensive survey, Pattern Recognition p23-42
- Warnakulasuriya T, Denman S, Mcfadyen A, Sridharan S, Fookes C, (2018) Tree memory networks for modelling long-term temporal dependencies, Neurocomputing p64-81
- Nguyen Thanh K, Fookes C, Jillela R, Sridharan S, Ross A, (2017) Long range iris recognition: A survey, Pattern Recognition p123-143
- Wei X, Lucey P, Morgan S, Sridharan S, (2016) Forecasting the next shot location in tennis using fine-grained spatiotemporal tracking data, IEEE Transactions on Knowledge and Data Engineering p2988-2997
- Liu J, Sridharan S, Fookes C, Wark T, (2014) Optimal camera planning under versatile user constraints in multi-camera image processing systems, IEEE Transactions on Image Processing p171-184
- Lucey S, Navarathna R, Ashraf A, Sridharan S, (2013) Fourier Lucas-Kanade algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence p1383-1396
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
- 2021
- 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
- Multimodal Image Correspondence
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes, Dr Kien Nguyen Thanh - Multimodal Dense Map-Centric SLAM
PhD, Principal Supervisor
Other supervisors: Professor Clinton Fookes
Completed supervisions (Doctorate)
- Appearance Based Online Visual Object Tracking (2019)
- Context Modelling for Single and Multi Agent Trajectory Prediction (2019)
- Deep Learning for Human Action Understanding (2019)
- Homography Estimation: From Geometry to Deep Learning (2019)
- Multi-modal Analysis for the Automatic Evaluation of Epilepsy (2019)
- Automated Scene Understanding from Aerial Imagery (2018)
- Domain Adaptation for Speaker Verification (2018)
- Facial Analysis Models for Face and Facial Expression Recognition (2018)
- Learning Spatio-temporal Features for Efficient Event Detection (2018)
- Representing and Predicting Multi-Agent Data in Adversarial Team Sports (2018)