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Ritz, Christian H. Professor

Associate Dean - International

  • Faculty of Engineering and Information Sciences
  • School of Electrical, Computer and Telecommunications Engineering
  • Signals, Information and Communications Research Institute (SICOM)
  • Centre for Signal and Information Processing (CSIP)
  • Associate Dean - International - University of Wollongong 2016 -

Top Publications


Research Overview


  • Current research interests include single and multichannel speech signal processing, speech and audio coding, spatial audio signal processing, multimedia Quality of Experience (QoE) and signal processing for new media services.

    Current projects include spatial and multichannel speech and audio signal processing and compression, acoustic vectors sensors and other co-located microphone arrays for sound source localisation and enhancement, microphone array signal processing, semantic analysis and processing of multimedia content, perceptual processing and Quality of Experience (QoE) estimation for media content.

    I am a member of the Visual and Audio Signal Processing Lab, part of the ICT Research Institute. I am also the director of the University of Wollongong’s anechoic recording and playback facility.

Available as Research Supervisor

Selected Publications


Impact Story


  • <p>Underwater mines are a cost-effective tool in asymmetric warfare and are commonly used to block shipping lanes and restrict naval operations. The aim of this research is develop an automatic system based on sonar imaging for locating naval mines and then recognizing their various types. It involves investigating the latest advances in deep learning and artificial intelligence for object detection, image segmentation, and image classification.<br /><br />This on-going research, supported by the <em>NSW Defence Innovation Network </em>(DIN), is conducted in collaboration with <em>Defence and Science Technology Group</em> (DSTG) and a defence software company. The research team includes Assoc. Prof. Son Lam Phung (<em>CI, Technical Lead, Principal Supervisor</em>), Mr Hoang Thanh Le (PhD Student), Mr Luca Russo (PhD student), Dr. Thi N. A. Nguyen (Associate Research Fellow), Senior Prof. Salim Bouzerdoum (CI), Prof. Christian Ritz (CI), and Dr. Le Chung Tran (CI).<br /><br />In this project, we have developed a deep learning-based tool for underwater mine detection. Further discussions are in progress to apply the project outcomes. </p><p><strong>Publication</strong>: H. T. Le, S. L. Phung, P. B. Chapple, A. Bouzerdoum, C. H. Ritz, L. C. Tran, "Deep Gabor neural network for automatic detection of mine-like objects in sonar imagery," <em>IEEE Access</em>, vol. 8, no. 1, pp. 94126-94139, 2020.</p>

Available as Research Supervisor

Potential Supervision Topics


    • Spatial audio signal processing
    • Microphone array speech enhancement.
    • Ad-hoc microphone arrays for recording and enhancement of speech and audio.
    • Quality of Experience (QoE) of spatial audio and interactive multimedia applications.
    • Loudspeaker array signal processing.
    • Acoustic Echo Cancellation and Suppression

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy Domestic Multi-channel Acoustic Scene Detection and Classification for Monitoring of Dementia Patients using Neural Networks
    Doctor of Philosophy Machine Learnt Radiomics Models for the Treatment of Non-Metastatic Non-Small Cell Lung Cancer Vial, Alanna
    Doctor of Philosophy Multi- Camera Structured-light 3D Measurement System Zhu, Yuewen
    Doctor of Philosophy Coprome Microphone Array Speech and Audio Signal Processing Zhao, Jiahong
    Doctor of Philosophy Real-time Automatic Target Recognition of Naval Mines with Autonomous Underwater Vehicle Sonar Imaging Russo, Luca
    Doctor of Philosophy 3D Face Modelling and Recognition for Automatic Selection of Worker Respiratory Protective Equipment Nguyen, Tran Thanh Phong

Top Publications


Research Overview


  • Current research interests include single and multichannel speech signal processing, speech and audio coding, spatial audio signal processing, multimedia Quality of Experience (QoE) and signal processing for new media services.

    Current projects include spatial and multichannel speech and audio signal processing and compression, acoustic vectors sensors and other co-located microphone arrays for sound source localisation and enhancement, microphone array signal processing, semantic analysis and processing of multimedia content, perceptual processing and Quality of Experience (QoE) estimation for media content.

    I am a member of the Visual and Audio Signal Processing Lab, part of the ICT Research Institute. I am also the director of the University of Wollongong’s anechoic recording and playback facility.

Selected Publications


Impact Story


  • <p>Underwater mines are a cost-effective tool in asymmetric warfare and are commonly used to block shipping lanes and restrict naval operations. The aim of this research is develop an automatic system based on sonar imaging for locating naval mines and then recognizing their various types. It involves investigating the latest advances in deep learning and artificial intelligence for object detection, image segmentation, and image classification.<br /><br />This on-going research, supported by the <em>NSW Defence Innovation Network </em>(DIN), is conducted in collaboration with <em>Defence and Science Technology Group</em> (DSTG) and a defence software company. The research team includes Assoc. Prof. Son Lam Phung (<em>CI, Technical Lead, Principal Supervisor</em>), Mr Hoang Thanh Le (PhD Student), Mr Luca Russo (PhD student), Dr. Thi N. A. Nguyen (Associate Research Fellow), Senior Prof. Salim Bouzerdoum (CI), Prof. Christian Ritz (CI), and Dr. Le Chung Tran (CI).<br /><br />In this project, we have developed a deep learning-based tool for underwater mine detection. Further discussions are in progress to apply the project outcomes. </p><p><strong>Publication</strong>: H. T. Le, S. L. Phung, P. B. Chapple, A. Bouzerdoum, C. H. Ritz, L. C. Tran, "Deep Gabor neural network for automatic detection of mine-like objects in sonar imagery," <em>IEEE Access</em>, vol. 8, no. 1, pp. 94126-94139, 2020.</p>

Potential Supervision Topics


    • Spatial audio signal processing
    • Microphone array speech enhancement.
    • Ad-hoc microphone arrays for recording and enhancement of speech and audio.
    • Quality of Experience (QoE) of spatial audio and interactive multimedia applications.
    • Loudspeaker array signal processing.
    • Acoustic Echo Cancellation and Suppression

Advisees


  • Graduate Advising Relationship

    Degree Research Title Advisee
    Doctor of Philosophy Domestic Multi-channel Acoustic Scene Detection and Classification for Monitoring of Dementia Patients using Neural Networks
    Doctor of Philosophy Machine Learnt Radiomics Models for the Treatment of Non-Metastatic Non-Small Cell Lung Cancer Vial, Alanna
    Doctor of Philosophy Multi- Camera Structured-light 3D Measurement System Zhu, Yuewen
    Doctor of Philosophy Coprome Microphone Array Speech and Audio Signal Processing Zhao, Jiahong
    Doctor of Philosophy Real-time Automatic Target Recognition of Naval Mines with Autonomous Underwater Vehicle Sonar Imaging Russo, Luca
    Doctor of Philosophy 3D Face Modelling and Recognition for Automatic Selection of Worker Respiratory Protective Equipment Nguyen, Tran Thanh Phong
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