Co-leading the πLab, Myriam has more than 12 years’ experience leading multi-disciplinary research projects within large commercial organisations. In addition, she holds the role of Associate Dean of External Engagement in the Faculty of Engineering and Information Technology (FEIT). Myriam brings a strong focus on real problems facing the industry to the group. See Myriam's staff profile
A/Prof Stuart Perry, Associate Professor
Co-leading the πLab, Stuart has 16 years’ experience conducting research in industry and government organisations and 10 years leading multi-disciplinary research teams. Stuart brings expertise on human vision, colour, image processing, image quality and signal processing to the team. Stuart also represents PILab and UTS on a number of international standards committees such as ISO/TC42 and ISO/SC29/WG1 (JPEG) and is also a member of SPINet. He is interested in light field technologies, 3D scanning and human perception in Virtual, Augmented and Mixed Reality environments. See Stuart's staff profile
Industry A/Prof Don Bone, Industry Associate Professor
Don was awarded a Ph.D. in physics from ANU in 1988 and worked there for a couple of years developing optical diagnostics for hyper-velocity flows. During his Ph.D and in subsequent years he developed or helped develop several seminal methods in fringe analysis which have important applications in interferometry, structured light and x-ray phase contrast imaging. For most of his career he has worked on image and video processing problems, working in and later leading and managing small teams in Government and private Industry, though he has interspersed this with other activities doing contract research and starting and operating several businesses. His interests range over transform based methods for image and video processing and analysis, perceptual science, optics, 3D Capture and 3D printing. Don joined the PILab in July 2016. See Don's staff profile
Prof Massimo Piccardi, Professor
Massimo Piccardi is a professor of machine learning, computer vision and natural language processing (NLP) at the Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), that he joined in 2002. His course on machine learning for sequential data (video, text etc) can be accessed on GitHub. At UTS, Prof. Piccardi serves as leader for the Big Data Analytics program of the Global Big Data Technologies Centre, an international centre of excellence for the development of enabling technologies for big data science and analytics, and as Head of Discipline, Signal Processing and Analytics, in the School of Electrical and Data Engineering. Over his career, Prof Piccardi has been the author or co-author of over a hundred and eighty scientific papers in international journals and on conference proceedings and several book chapters. Since relocating to Australia from Italy in 2002, he has been the principal investigator of many advanced research projects including two ARC (Australian Research Council) Discovery Projects and an ARC Linkage Project, and a chief investigator in another Linkage Project and four Linkage Infrastructure Projects. Prof Piccardi serves as an Associate Editor for journal IEEE Transactions on Big Data and is a senior member of the IEEE, a member of the IEEE Computer and Systems, Man and Cybernetis Societies and a member of the International Association for Pattern Recognition. See Massimo's staff profile
A/Prof Min Xu, Senior Lecturer
Min is an accomplished researcher with a history of achievements in the field of multimedia (image, video, audio and text) processing and machine learning as evidenced by over 100 publications in prestigious journals and conferences. She has direct experience with the application of advanced machine learning techniques such as Deep Learning to image processing problems and the classification and processing of temporal information using machine learning. Min’s expertise is in multimedia data analytics and computer vision. See Min's staff profile
Dr. Wenjing Jia is a Senior Lecturer and established researcher in the fields of image processing and analysis, computer vision and pattern recognition, with applications to: 1) medical ultra-sound image analysis, 2) car license plate detection in complex environment, 3) text detection in the wild, 4) violence detection from video, and 5) document authorship analysis. Over her research career, Dr. Jia has successfully led several research projects and published over eighty scientific papers in international journals and on conference proceedings has received over 1000 citations. She received the award of Excellent Master Thesis of Fuzhou University in 2002 and a Provincial Science and Technology Award in 2004 from her contribution to the area of biomedical image processing. She has been a paper reviewer for journals including the IEEE Trans. on Image Processing, Pattern Recognition, and IEEE Trans. on Intelligent Transportation Systems and many well-known international conferences. She has also played a major role in organising international conferences of TrustCom-2017, MMM2015, CIT2008, etc. See Wenjing's staff profile
Industry Prof Barry Drake (Associate Member)
Barry has been researching machine learning and artificial intelligence since the 1990s. He was awarded a PhD in computer science in 2004 by the University of New South Wales, after which he joined Canon Information Systems Research Australia (CISRA), where he was the Senior Principal Engineer and lead researcher for machine learning. Barry is inventor on over 20 filed patents and has 13 years of experience conducting research with commercial impact within Canon.
A/Prof Richard Xu (Associate Member)
As the Director of Industry Analytics and Visualisation, at Faculty of Engineering & IT, and the creator of UTS's DataLounge initiative, I am constantly navigating between the demands of developing world-renowned machine learning research and finding practical machine learning applications in real industry scenarios.
This sees me managing a team of 20+ academics, Postdoc, PhD students and engineers; applying their minds and talents to an array of industry projects for many multinational and Australian businesses. See Richard's staff profile
Aside from my duties as Industry Director, I also publish a series of Statistics, Probability and Machine Learning (including Deep Learning) courses for PhD students and ML practitioners around the world:
Nico Pietroni is a senior lecturer in the School of Software within FEIT at UTS. His research focus is within the ‑fields of computer graphics and geometry processing and investigates concepts and practical algorithms for the creation and manipulation of digital shape representation. A particluar interest of his is in how geometry processing intersects with architecture, artistic modelling and digital fabrication. His primary goal is to push the boundaries of current industrial production pipelines by exploiting the theoretical foundations in geometry processing. This includes mesh parametrization, surface abstraction and global optimization applied to the entertainment industry, digital fabrication and architectural geometry. (www.nicopietroni.com)
Eva Cheng is the Deputy Director of Women in Engineering and Information Technology, and Senior Lecturer in the School of Electrical and Data Engineering. Previous to joining UTS in September 2017, she was a Lecturer in the School of Engineering at RMIT University. Eva actively collaborates on social justice and community engagement in STEM diversity and humanitarian engineering, including working with Tech Girls are Superheroes (which aims to engage 10,000 girls in STEM entrepreneurship by 2020), Girl Geek Academy, Laika Academy and Engineers Without Borders Australia. She is also engaged in cross-cultural and inclusive teaching and research, and developing global mobility experiential learning programs for students. Her research is in multimedia signal processing, including speech and audio signal processing and computer vision. Collaborative research projects have included working with musicians, visual artists, architects, biologists and non-profit organisations. She is a member of the UTS Perceptual Imaging Lab (πLab) and Centre for Audio, Acoustics and Vibration. See Eva's staff profile
Dr Franklin completed his PhD in Telecommunications Engineering, ``Enhancements to Channel Models, DMT Modulation and Coding for Channels Subject to Impulsive Noise'', at the University of Wollongong (2007) and also holds a Bachelor of Engineering (electrical) - Honours I, University of Wollongong (1999). He has been a member of the IEEE since 1998. He is currently a Senior Lecturer in the School of Electrical and Data Engineering at the University of Technology Sydney. His current research and commercial interests are split between radiation engineering, including positron emission tomography, computed tomography, radiotherapy, radiation dosimetry and pharmacokinetic modelling - and telecommunications engineering, including multimedia, image and signal processing, wired and wireless communication systems, and communications protocols. See Daniel's staff profile
Dr Zenon Chaczko is currently the Senior Lecturer of Software Engineering at UTS, and an active member of CRIN. After 25 years of R/D experience in ICT and marine systems industry as well as concurrent 4 years of P/T lecturing at the University of Technology Sydney, he moved to full time academic position at UTS in 2002. Since then he has been Program Head of Information and Communications Technologies. He is an experienced lecturer and researcher, consistently receiving excellent teaching results and reviews from students. He is an expert software and system engineer, researcher and supervisor, having supervised/co-supervised many candidates to completion in the last 8 years. He has completed his PhD in Engineering at UTS. His specialisation is anticipatory (AI) and biomimetic middleware systems for Wireless Sensor Networks. He is an author and co-author of several innovative AI theories and computational models. His recent work in complex system simulation as well as sensor localisation, clustering, detection, data aggregation and tracking algorithms gained a very high recognition in the research community. See Zenon's staff profile
Arti is a Physicist with expertise in optics, particularly simulation of optical components with Finite Element, Finite Difference and other numerical techniques. She has over 15 years experience in modelling how light behaves (to optimise device design) in optical fibers, solar cells, sensors, non-linear effects, etc. She develops modelling and optimization methods that can predict light paths and change these for applications. See Arti's staff profile
Mr David Durbin
David is a student in PILab studying toward a PhD in the area of 3D meshing of deformable objects.
Ms Helia Farhood
Helia is a Ph.D. student and her field of study is Reconstruction of 3D Surfaces with Complex Material Appearance Using a Light field Camera. She also works on image and video processing problems. She has experience with the application of machine learning and computer vision techniques to image processing problems.
Mr Rishabh Sharma
Rishabh is a student in PILab studying toward a PhD in the area of the synthesis of light field images.
Ms Nhung Hong Thi Nguyen
Nhung is a student in PILab studying toward a PhD in the area of automatic crack detection and classification in optical images. She is a student of the UTS-VNU Joint Technology and Innovation Research Centre, a joint venture between UTS and Vietnam National University Hanoi.
Mr Huy Phi Cong
Huy received the B.S. degree in Computing and Information systems from Oxford Brookes University, UK, in 2007, and M.S. degree in Information Management and Systems from Monash University, Australia, in 2009. Currently, he is pursuing a dual Ph.D. degree in Telecommunications Engineering in the cooperative program between Vietnam National University (VNU) and University of Technology Sydney (UTS). From 2010 till now, he was the leader of several projects such as a Cash Flow Management project funded by Vietnam Post, Research and developing an E-learning lesson on Cinematography and Photography techniques funded by the Posts and Telecommunications Institute of Technology (PTIT), etc. In addition, he was also a lecturer in the Multimedia faculty, PTIT, Vietnam. His research interests are in the areas of digital image and video processing, perceptual video coding, especially in representing and coding of rich visual data, e.g. Plenoptic data, Light Field, Point Cloud, etc.