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Professor David Taubman is a distinguished academic serving as Professor and Deputy Head of School (Research) at the School of Electrical Engineering and Telecommunications (EE&T) at the University of New South Wales (UNSW) in Sydney, Australia. He is also co-director of Kakadu Software Pty. Ltd. and its affiliates Kakadu R&D and Kakadu GPU. With a career spanning over three decades, Professor Taubman has made significant contributions to the field of image and video compression, most notably as the author of the EBCOT coding algorithm adopted in the JPEG2000 international standard. Professor Taubman earned his B.Sc. in Mathematics and Computer Science (1986) and B.E. (Medal) in Electrical Engineering (1988) from the University of Sydney, followed by an M.Sc. (1992) and Ph.D. (1994) in Electrical Engineering from the University of California at Berkeley. His professional journey includes engineering work at the Electricity Commission of N.S.W. (1988-1990), research positions at Hewlett-Packard Laboratories in Palo Alto (1994-1998), and an academic career at UNSW where he progressed from Senior Lecturer (1998-2003) to Associate Professor (2004-2009) and finally to Professor (2009-present). He has held various leadership roles including Head of the EE&T Telecommunications Research Group (2003-2014), Head of the EE&T Signal Processing Research Group (2014-present), Director of Research for the School of EE&T (2011-2016), and Deputy Head of School (Research) since 2017. Professor Taubman's research interests center on image and video compression, with particular expertise in JPEG2000 standards and implementations. His work spans signal processing, wavelet transforms, scalable video coding, motion modeling, and multimedia systems. He has pioneered numerous compression algorithms and frameworks, including the EBCOT coding algorithm that became central to the JPEG2000 standard. His recent research focuses on efficient motion modeling with cuboidal partitioning, learned lifting-based transform structures, and high-throughput implementations of JPEG2000 for video applications. His work bridges theoretical foundations with practical implementations, as evidenced by the commercially successful Kakadu Software tools that have garnered around 500 commercial licensees. Analysis of Professor Taubman's recent publications reveals a consistent focus on advancing compression technologies with particular emphasis on scalability, efficiency, and adaptability. His work spans traditional image compression (JPEG2000 extensions), video coding (cuboid-based partitioning for UHD/360-degree video), and emerging applications (nanopore sequencing data compression). A notable trend is the integration of machine learning techniques with traditional compression frameworks, as seen in his work on learned lifting-based transform structures. His research maintains strong connections to real-world applications across diverse domains including medical imaging, astronomical data processing, and genomic sequencing. IEEE Fellow Engineers Australia Fellow (by invitation) Professor Taubman has served as Associate Editor for the IEEE Transactions on Image Processing for two four-year appointments (2003-2005 and 2010-2013). He has been actively involved in numerous research grants focused on image and video compression technologies, particularly those related to the JPEG2000 standard and its extensions. His work has received significant industry support, reflected in his consultancy with various U.S., Japanese, and Australian corporations. He has also contributed to international standards development as a member of Standards Australia Technical Committee MS-065 (mirroring ISO TC42 on Digital Photography) and as a constitutional member of Standards Australia Technical Committee IT-029 (Coded Representation of Picture, Audio and Multimedia/Hypermedia Information). Professor Taubman co-directs Kakadu Software Pty. Ltd. and its research affiliates Kakadu R&D and Kakadu GPU, which have developed the commercially successful Kakadu Software tools for JPEG2000. His research group at UNSW focuses on advanced image and video compression techniques, with particular expertise in wavelet-based methods, scalable coding, and motion modeling. The group maintains strong industry connections and has contributed significantly to the development and standardization of image compression technologies worldwide.

• Image Compression
• JPEG2000
• Signal Processing
• +5 more

Professor David Scott Taubman is a faculty member and Deputy Head of School (Research) at the School of Electrical Engineering and Telecommunications (EE&T) at UNSW Sydney, Australia. He is also co-director of Kakadu Software Pty. Ltd. and its affiliates Kakadu R&D and Kakadu GPU. He earned his academic credentials from the University of Sydney and University of California at Berkeley: B.Sc. in Mathematics and Computer Science, University of Sydney, 1986 B.E. (Medal) in Electrical Engineering, University of Sydney, 1988 M.Sc. in Electrical Engineering, University of California at Berkeley, 1992 Ph.D. in Electrical Engineering, University of California at Berkeley, 1994 Professor Taubman's research interests span multiple domains within electrical engineering and telecommunications, particularly focusing on: Image Compression (EBCOT algorithm, JPEG2000 technologies) Video Compression (scalable video compression, motion compensated temporal lifting) Image and Video Processing (motion and depth estimation, demosaicing of digital color images, medical image analysis) Multimedia Communication (JPIP standard for interactive imaging, scalable communication systems) He has received numerous scientific awards and honors, including best paper awards from IEEE Signal Processing Society, IEEE Circuits and Systems Society, and IEEE Int. Conf. Image Processing. He has also received teaching awards from UNSW and was recognized with the NSi Inventor of the Year Award. Professor Taubman has contributed significantly to industry standards: Author of the EBCOT coding algorithm adopted in the JPEG2000 standard in November 1998 Author of Verification Model and associated documentation for JPEG2000 Central contributor to IS15444-1, IS15444-4, IS15444-9, IS15444-15 and IS15444-17 Developer of the commercially successful Kakadu Software tools for JPEG2000 He has held various leadership positions at UNSW including Head of the Telecommunications Research Group, Head of the Signal Processing Research Group, and Director of Research at School of EE&T.

• Multimedia Communication
• Video compression
• Image processing
• +3 more

Aous Thabit Naman is a Senior Research Associate in Signal Processing at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), Sydney. He holds a B.Sc. in Electronics and Telecommunication Engineering (1994, Al-Nahrain University), an M.Eng.Sc. (2000, University of Malaya), and a Ph.D. in Electrical Engineering (2011, UNSW). His work focuses on scalable video compression, interactive media delivery, and JPEG2000 standards, including developing the High-Throughput JPEG2000 (HTJ2K) standard (ISO/IEC 15444-15/ITU-T T.814). He authored the open-source OpenJPH implementation of HTJ2K. Education: B.Sc., Al-Nahrain University (1994) M.Eng.Sc., University of Malaya (2000) Ph.D., UNSW (2011) Research Interests: Interactive scalable video compression, wavelet-based coding, motion estimation, and standards development. Key Achievements: HTJ2K standardization, OpenJPH implementation, and contributions to multiview and lightfield compression techniques. His recent work includes machine-learning enhanced transforms for image compression and GPU-based HTJ2K encoding/decoding optimizations. He has authored over 50 papers, 2 patents, and served as a reviewer for IEEE Transactions and conferences like ICIP.

• Image Processing
• Video Signal Processing
• Image Communication
• +5 more