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Research Team

Prof Brian Lovell Professor Brian Lovell
Role  
Research Leader, Advanced Surveillance Project, NICTA
Interests
Computer Vision and Pattern Recognition
Affiliations
Professor in the School of ITEE, The University of Queensland;
GB Member for Australia on the International Association for Pattern Recognition; SMIEEE, FWIF.
Biography

From 1983 to1986, Professor Brian Lovell worked in Saudi Arabia and Egypt with Schlumberger SA. He then returned to the University of Queensland topursue his PhD. While studying for his PhD, he was offered a lecturing position in 1989. In 2000, Professor Lovell was visiting professor atthe MIT Media Lab, Michigan State University, and the University ofAlberta. In 2004 he was appointed Director of Engineering in the Schoolof ITEE at the University of Queensland.


Dr. Abbas Bigdeli
Dr. Abbas Bigdeli
Role  
Senior Researcher and Project Manager, Advanced Surveillance Project, NICTA
Interests
High Performance Embedded Systems, Computer Vision, Signal Processing
Affiliations
The University of Queensland, MIEEE, MSPS, MAaeE
Biography

Abbas Bigdeli received his bachelor of Electronics Engineering in 1995 from Amir Kabir University of Technology, Tehran, Iran. He started his postgraduate study at James Cook University, Australia in 1996 and concluded in 2000 when he  joined the faculty of Engineering at the University of Auckland, New Zealand. He moved back to Australia in 2006 to join NICTA as a researcher in the SAFE project.
Abbas has collaborated on industrial projects with various companies in New Zealand, Australia and USA. He has more than 10 years experience in consultancy, scientific research and technology leadership in the areas of digital signal and image processing, computer architecture, and information security. He has designed a number of innovative high performance embedded systems including an AES grade Security System for Wireless LAN and the first portable real-time face recognition system. He has published over 60 papers in journals, book chapters and refereed international conferences. He has invented 3 patents in the areas of information security and computer vision.
He has been technical reviewer for several journals including Journal of Microprocessors and Microsystems, European Signal Processing Association Journals, Australian Journal of Research and Practice in IT, as well as conferences such as FPL, IEEE VLSI and EUSIPCO.


Dr. Conrad Sanderson
Role  
Senior Research Scientist, Advanced Surveillance Project, NICTA
Interests
Machine Learning and Computer Vision
Affiliations

The University of Queensland, Australian National University, MIEEE

Biography

Dr Conrad Sanderson received the Bachelor of Engineering degree with 1st Class Honours in 1996 and the PhD degree in 2003 from Griffith University, Queensland, Australia.
He has previously worked on robust speech recognition at the Advanced Telecommunication Research Laboratories (Japan), audio-visual biometrics and non-frontal face recognition at the IDIAP Research Institute (Switzerland), ship classification in infra-red images at the Centre for Sensor Signal and Information Processing (Australia), as well as natural language processing and bioinformatics at NICTA.
He has served as a reviewer for a number of international conferences and scientific periodicals (such as the Proceedings of the IEEE journal). His current research interests include applied areas of machine learning, pattern recognition and computer vision, with applications such as intelligent surveillance.


Dr. Farhad Dadgostar
Dr. Farhad Dadgostar
Role  
Senior Research Engineer, Advanced Surveillance Project, NICTA
Interests
Pattern Recognition, Computer Vision, Artificial Intelligence and Software Engineering
Affiliations
The University of Queensland, SMIEEE, IEEE Standards Association
Biography

Dr. Farhad Dadgostar received the Bachelor of Engineering degree in 1993 and Masters in Software Engineering in 1997 both with rank first from IUT and UI in Iran. In 2003 Farhad joined to the Institute of Information and Mathematical Sciences at Massey University in Auckland, New Zealand to pursue his PhD degree in Computer Science with focus on Human-Computer Interaction and Computer-Vision. He concluded his research in 2006, and he has published over 30 papers in refereed international journals, book chapters and conference proceedings. Farhad is one of the developers of the Open Computer Vision library, and some of his novel algorithms were implemented as standard components of the OpenCV library. Since 1991, Farhad is working actively in both industry and academia, and has more than 18 years experience in software engineering, and developing software projects. Farhad is a Senior Member of IEEE, Member of IEEE Standards Association, and Affiliate for IEEE Software and Systems Engineering Standards Committee. He is currently reviewer of Journal of Pattern Recognition, Pattern Recognition Letters, International Journal of Computers and Applications and IEEE Transactions on Instrumentation. 


Sandra Mau Sandra Mau
Role  
Research Engineer, Advanced Surveillance Project, NICTA
Interests
Machine Learning and Robotics
Affiliations
NICTA
Biography

Prior to her commencement at NICTA, she was working as a Commercialisation Analyst for QUT's technology transfer company, qutbluebox.  Her interest in transferring research to society has led her to pursue a MBA part-time.  Her research background includes a research Master’s in Robotics at Carnegie Mellon University, where she contributed to a NASA project to develop a platform for managing autonomous robot perception, control, and communications. Her Bachelor’s (Hons) was in Engineering Science at University of Toronto with an Honours thesis investigating visual localisation.


Dr. Mehrtash Harandi
Dr. Mehrtash Harandi
Role  
Reseach Scientist, Advanced Surveillance Project, NICTA
Interests
Computer Vision, Machine Learning and Pattern Recognition, Image and Speech Processing
Affiliations
University of Queensland
Biography
Dr. Mehrtash Harandi received his bachelor of Electronics Engineering from Sharif University of Technology, Master of Science and PhD from University of Tehran, Tehran, Iran in 1998, 2000 and 2009 respectively. He joined NICTA Queensland Research Laboratory (QRL) in December 2009. Prior to his commencement, he worked on Active Learning and Object Recognition at the Institute for Research in Fundamental Sciences (IPM), Speech Enhancement and Noise removal at ElaraTek ltd. He is acting as a reviewer for IET Computer Vision, Neurocomputing (Elsevier) and Applied Soft Computing (Elsevier) journals.

Dr. Shaokang Chen
Dr. Shaokang Chen
Role  
Researcher, Advanced Surveillance Project, NICTA
Interests
Image Processing and Pattern Recognition
Affiliations
Research Fellow, ITEE, The University of Queensland
Biography
Dr Shaokang Chen received the BE degree from South China University of Technology in 1999 and PhD from The University of Queensland in 2005. He then worked as a researcher in the University of Queensland for medical image processing projects. He is currently a research fellow with NICTA for security and surveillance projects.

Ting Shan Dr. Ting Shan
Role  
Research Engineer, Advanced Surveillance Project, NICTA
Interests
Computer Vision, Machine Learning and Pattern Recognition
Affiliations
University of Queensland
Biography
Dr. Ting Shan received his Ph.D in 2007 with thesis “Face Recognition Robust to Unconstrained Environment”, and continuously worked as a research scientist in NICTA to further conduct his research on face recognition. In 2008 Dr. Ting Shan joined a start-up company Imprezzeo and led the R&D team to translate the latest image/video technologies into commercial products. In 2010 he came back to NICTA QLD lab. .

Dr. Ting Shan has very strong academic and industrial technical knowledge in the field of computer vision, pattern recognition, image/video processing and image/video search, and he provides visionary technology leadership and specializes in translating cutting edge image/video research outcomes into commercial products for business solutions. He is a member of IEEE, and has published over 20 papers in journals and refereed international conferences, and 6 book chapters. He has invented 6 patents in the areas of face recognition and image search. He has been acting as a technical reviewer for several journals and conferences.

 

Research Affiliates

terry_caelli2
Professor Terry Caelli
Role  
Lab Director, Queensland Research Lab, NICTA
Interests
Computer Vision, Pattern Recognition and Artificial Intelligence and their applications to intelligent sensing, image understanding and environmental management.
Affiliations
Director of Queensland Laboratory of National ICT Australia (NICTA). Fellow of the International Association for Pattern Recognition (FIAPR) Fellow of the Institute for Electronic and Electrical Engineers (FIEEE). Convocation Medalist from the University of Newcastle.
Biography
Since the early 1970’s Professor Caelli’s interests have been in both human and machine vision and the application of research in these areas to health and environmental problems. He has spent 15 years in North America university and research institutes, has been a DFG Professor, Germany, Killam Professor of Science, the University of Alberta as well as having held senior positions in Australian at the University of Melbourne and Curtin University of Technology. He has served on the editorial boards of journals including IEEE:PAMI, Pattern Recognition and numerous international conference committees in both human and machine vision. 
He returned from Canada to join NICTA in 2004.


Dr. Frederic Maire
Role  
QUT Contributed Researcher, Advanced Surveillance Project, NICTA
Interests
Computer Vision, Pattern Recognition, Machine Learning, and Robotics
Affiliations
FIT, Queensland University of Technology
Biography

PhD in Discrete Maths (1993), Universite Pierre et Marie Curie (Paris 6), France. MSc in Pure Maths (1989), Universite Pierre et Marie Curie (Paris 6), France. MSc in Computer Science Engineering (1989), Ecole Nationale Superieure d'Ingenieurs of Bordeaux, France.



ihorvath
Dr. Ildiko Horvath
Role  
Research Assistant, Advanced Surveillance Project, NICTA
Interests
Software Development, Ionospheric Space Research and Modelling
Affiliations
ITEE, The University of Queensland, NICTA
Biography
Dr. Ildiko Horvath obtained her PhD in 2002 in Ionospheric Space Physics from La Trobe University, Melbourne, Victoria. In 2005 she won a prestigious and highly competitive UQ postdoctoral fellowship. In 2007, she was nominated as an “expert of international standing” by the College of Experts of The Australian Research Council. She is a member of the American Geophysical Union and the author of almost forty scholarly publications. She reviews manuscripts for Geophysical Research Letters, Journal of Geophysical Research and Annales Geophysicae.

 

Engineering Team

jayden_platell
Jayden Platell
Role  
Research Engineer, Advanced Surveillance Project, NICTA
Interests
High Performance Computing and Image Processing
Affiliations
NICTA
Biography
Jayden Platell received the Bachelor of Information Technology degree in 2003 from Queensland University of Technology, Australia.  After obtaining his degree, Jayden went on to operate an IT consultancy for small business networks.  During this time he provided installation and support of computer-based surveillance systems, becoming involved with NICTA’s Advanced Surveillance project and consequently Jayden joined NICTA in 2009 to continue this work.

ian_cullinan
Ian Cullinan
Role  
Research Engineer, Advanced Surveillance Project, NICTA
Interests
Embedded systems, digital design, performance optimisations
Affiliations
ITEE, University of Queensland, NICTA
Biography
Ian is working part-time on the Advanced Surveillance project at NICTA while he completes his BE (Computer Systems) at UQ. He also tutors for UQ.

terence_smith
Terence Smith
Role  
Research Engineer, Advanced Surveillance Project, NICTA
Interests
Embedded and Distributed Systems
Affiliations
ITEE, University of Queensland, NICTA
Biography
Terence is working at NICTA on a part-time basis while completing his Bachelor of Engineering at UQ.

 

PhD Students

amelia_azman Amelia Wong Azman

Role  
Research Student
Interests
Embedded Systems, Computer Vision
Affiliations
ITEE, The University of Queensland; ECE, International Islamic University Malaysia
Biography
Amelia received a Bachelor of Engineering degree in Electronics from the University of Southampton in 2004.

Research
Amelia's research is a part of a bigger research project on smart camera systems. Recently, there has been a widespread stress on IP-reuse on SoCs in order to bridge the gap between the silicon capacity in SoC and the design productivity. This research work introduces a framework that combines reasoning of Bayesian Belief Network (BBN) to speed up decision time in partitioning IP cores with CSP formulations to acknowledge the interface costs of its manifestation as well as providing scheduling information in the system design. The framework also support multi-processor system designs. BBN is a form of probabilistic graphical modeling which uses inference and reasoning to produce a possible solution. BBN has several advantages over Neural Network such as the explainable learning process and is more flexible design topology while avoiding data-overfitting. In this work, the BBN is utilised to predict a suitable implementation for a particular process i.e. whether the process is to be implemented as dedicated hardware or software in a microprocessor.
yasir_mustafa Yasir Mustafah

Role  
Research Student
Interests
Computer Vision, Image Processing, Embedded Systems
Affiliations
ITEE, The University of Queensland; ECE, International Islamic University Malaysia
Biography
Yasir received the BE degree from University of Southampton in 2004.

Research
Smart cameras can improve the existing surveillance systems by making autonomous video surveillance possible. Having a smart camera with a good face detection capability is the key in building a face recognition system for crowd monitoring activity. Since crowd monitoring requires high resolution video images, the face detection on the smart camera must be robust and fast enough to achieve real-time operation. The research aims to explore a possible implementation of robust face detection on smart camera hardware that is suitable for real-time surveillance operation. The general approach isperforming the detection in two stages. In the first stage, fast pixel-based algorithms that can be implemented next to the image sensor are utilize to roughly estimate the location of the faces. Then a more complex face detection algorithm is used to accurately locate the estimated faces.

ehsan_norouznezhad
Ehsan Norouznejad

Role  
Research Student
Interests
FPGA and VLSI architectures for real-time embedded computer vision, smart cameras and bio-inspired vision systems
Affiliations
ITEE, The University of Queensland, NICTA
Biography
Ehsan Norouznezhad was born in Tehran, Iran, on April 04, 1982. He received the B.Sc. and M.Sc. degrees in Electronic Engineering from K.N.Toosi University of Technology (KNTU), Tehran, Iran in 2004 and 2006 respectively. He worked in Industry for about four years. His major field of activity in his professional career was Industrial Automation, PLC Programming, Fieldbus and Robot Programming. He commenced his PhD program at the school of ITEE, The University of Queensland in Jan 2008. He is also a PhD student at NICTA.

Research
Ehsan's PhD research project is to design visual scene analysis engines for intelligent vision systems and smart cameras. The proposed engine is composed of two parts; the first part is to extract local energy and phase features using a bank of Gabor filters. Second part of the engine is responsible to perform motion detection, object segmentation and tracking using local energy and phase features. Also a hardware/software co-design approach is pursued to achieve real-time performance.

vikas_reddy Vikas Reddy

Role  
Research Student
Interests
Computer Vision, Image and Video Processing and Embedded systems
Affiliations
ITEE, The University of Queensland, NICTA
Biography
Vikas obtained his Bachelor of Engineering degree from Visvesvaraya Technological University (India) in 2003. He worked in the industry for about 5 years before commencing his PhD program at UQ.  He has worked on the implementation of video compression standards such as MPEG4, H263 on Texas Instrument’s OMAP/DSP platforms. The software has been licensed and shipped in numerous high-end multimedia rich mobile handsets around the world.

Research
Vikas' current research is in the field of intelligent video surveillance in particular to detect salient objects by modelling the background.

andres_sanin Andres Sanin

Role  
Research Student
Interests
Computer Vision and Artificial Intelligence
Affiliations
ITEE, The University of Queensland; NICTA
Biography
Andres has a Bachelor in Science (2004) and an MSc (2005) in Biology, from the Universidad de Los Andes (Colombia). He received an MSc in Computer Science (2008) in The University of Queensland (Australia). Currently, Andres is a PhD student in the school of ITEE, The University of Queensland, and NICTA.

Research
Andres' research is focused on a multiple people tracking system for potentially crowded areas. His project can be divided into three stages: improved object detection, head detection and head tracking. For improved object detection he has designed an algorithm for robust shadow detection and discrimination that can be used on top of existing foreground detection methods. The algorithm is useful for tracking because it improves the contours of the detected objects and avoids unnecessary merging between objects that are close to each other. Currently he is exploring robust ways of segmenting and tracking heads; because heads have a lower probability than bodies to merge with each other (especially in crowded scenarios) which may lead to improved tracking performance.

yong_wong Yong Kang
Role  
Research Student
Interests
Machine Learning, Pattern Recognition, Face Recognition, and Computer Vision
Affiliations
ITEE, The University of Queensland; NICTA
Biography

Yong received the Bachelor of Engineering Degree with 1st Class Honour from The University of Adelaide in 2006. During his undergraduate study, he was a research scholar in NICTA Canberra Research Lab (CRL) during summer 04/05 and 05/06 working on real time DSP receiver design. He worked as a electronics product design engineer in Clipsal Integrated System (CIS). His contribution to the installation fault detection algorithm for CIS’s C-Bus network system is currently under patent application. He also worked in Codan Limited prior to his PhD study. 


Research
Yong's PhD study is focused on computer vision and pattern recognition.
His current research project is robust face recognition on uncontrolled and low resolution faces.
This includes still-to-still and video-to-video face verification/identification.

yan_yang
Yan Yang

Role  
Research Student
Interests
Computer Vision, video processing,  multimedia database indexing,  content-based image/video search and retrieval
Affiliations
ITEE, The University of Queensland; NICTA
Biography
Yan Yang is currently PhD research student of the University of Queensland and NICTA Queensland research lab. She received bachelor degree in manufacturing engineering of aircraft from Nanjing University of Aeronautics and Astronautics in 2002. Yan has about 5 years working experience in computer graphic, multimedia design and database management. In 2008, Yan obtained master degree of Information Technology from the University of Queensland. She started her PhD research in the same year and worked in surveillance video analysis and database design.

Research
Image database structure and image search for intelligent closed circuit TV, requires managing massive amounts of data, and is a challenging task. Yan's research involves examining different methods and structures of local image and image meta-data modeling (i.e automatically extracted descriptors), as well as the data streaming between databases and monitoring systems.

sareh_abolahrari
Sareh Abolahrari

Role  
Research Student
Interests
Computer Vision, video processing,
Affiliations
ITEE, The University of Queensland; NICTA
Biography
Sareh is currently PhD research student of the University of Queensland and NICTA Queensland research lab. She received Bachelor degree in Electrical Engineering in 2004 and Master degree in Electrical Engineering in 2008 both from Shiraz University, Shiraz, Iran. She started her PhD research in November 2009 and working on tracking for security and surveillance systems.

Research
Sareh, currently is working on extracting features of textures for the purpose of identity tagging.