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Ritz, Christian Professor

Interim Director, SMART

  • Faculty of Engineering and Information Sciences
  • School of Electrical, Computer and Telecommunications Engineering
  • Associate Dean - Research (Acting) - University of Wollongong 2022
  • Associate Dean (International) - University of Wollongong 2016 - 2021

Top Publications


Research Overview


  • My research is in the area of signal processing for speech, audio, acoustics and visual information. Current projects include: microphone array signal processing for enhancing sound recorded in classrooms; sound scene classification for dementia care environments; spatial audio for Virtual and Augmented Reality; and undersea surveillance. These projects are funded by the ARC, overseas research institutes and defense organisations. Past projects include audio data compression for next generation 3D teleconferencing, miniature microphone arrays for hands-free communication and automatically annotating “speaker turns” in meeting recordings and Quality of Experience (QoE) for mobile multimedia applications.

    I am a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM), a research powerhouse in the Faculty of Engineering and Information Sciences at the University of Wollongong.

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, "<a href="https://ieeexplore.ieee.org/document/9095329?source=authoralert" target="_blank" rel="noopener">Deep Gabor Neural Network for Automatic Detection of Mine-like Objects in Sonar Imagery</a>," <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
    Master of Philosophy - EIS Three Dimensional Shape Reconstruction with Dual-camera Measurement Fusion Zhu, Yuewen
    Doctor of Philosophy Co-Prime Microphone Arrays: Geometries, Beamforming and Speech Direction of Arrival Estimation Zhao, Jiahong
    Master of Philosophy - EIS 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
    Doctor of Philosophy Interpolation of Room Impulse Responses for Higher Order Ambisonics Encodings of Sound Fields Ren, Hualin
    Doctor of Philosophy Machine Learning and Deep Learning of Sensed Data for Classroom Activity Understanding Iqbal, Md Rashed

Top Publications


Research Overview


  • My research is in the area of signal processing for speech, audio, acoustics and visual information. Current projects include: microphone array signal processing for enhancing sound recorded in classrooms; sound scene classification for dementia care environments; spatial audio for Virtual and Augmented Reality; and undersea surveillance. These projects are funded by the ARC, overseas research institutes and defense organisations. Past projects include audio data compression for next generation 3D teleconferencing, miniature microphone arrays for hands-free communication and automatically annotating “speaker turns” in meeting recordings and Quality of Experience (QoE) for mobile multimedia applications.

    I am a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM), a research powerhouse in the Faculty of Engineering and Information Sciences at the University of Wollongong.

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, "<a href="https://ieeexplore.ieee.org/document/9095329?source=authoralert" target="_blank" rel="noopener">Deep Gabor Neural Network for Automatic Detection of Mine-like Objects in Sonar Imagery</a>," <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
    Master of Philosophy - EIS Three Dimensional Shape Reconstruction with Dual-camera Measurement Fusion Zhu, Yuewen
    Doctor of Philosophy Co-Prime Microphone Arrays: Geometries, Beamforming and Speech Direction of Arrival Estimation Zhao, Jiahong
    Master of Philosophy - EIS 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
    Doctor of Philosophy Interpolation of Room Impulse Responses for Higher Order Ambisonics Encodings of Sound Fields Ren, Hualin
    Doctor of Philosophy Machine Learning and Deep Learning of Sensed Data for Classroom Activity Understanding Iqbal, Md Rashed
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