Assoc. Prof. Ivan Lee

ivan-leeAssoc. Prof. Ivan Lee, B.Eng, M.Com, MER, Ph.D

University of South Australia, Australia

Ivan Lee is an Associate Professor at STEM, University of South Australia, and a REDI Fellow in 2022/2023. He received BEng, MCom, MER, and PhD degrees from the University of Sydney, Australia. He was a software development engineer at Cisco Systems, a software engineer at Remotek Corporation, and an Assistant Professor at Ryerson University. His research interests include intelligent sensor, multimedia system, and data analytics. He has served as a Chief Investigator of 28 funded projects (15 as sole/lead investigator), include 4 national competitive grants (3 as sole/lead investigator) in Australia and in Canada.

His research findings have been disseminated in over 150 peer-reviewed publications, including IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, and Advanced Functional Materials. He was a recipient of The Vannevar Bush Best Paper Honorable Mention of 2020 Jointed Conference on Digital Libraries (JCDL); the Lockheed Martin Best Paper Award of 2015 SPIE Defense + Security, Automatic Target Recognition XXV; and the Best Paper Award of 2007 Pacific-Rim Conference on Multimedia.

He held leadership roles in the organisation of international conferences, including the General Co-Chair of 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), the General Chair of 2013 Australasian Computer Science Week (ACSW), and the Program Co-Chair of the 2008 ACM International Conference on Image and Video Retrieval (CIVR). He served on the editorial board and guest edited several journals, including IEEE Communications Surveys and Tutorials in 2005-2007, and IEEE Transactions on Neural Networks and Learning Systems in 2023. He currently serves on the committee of National Computational Merit Allocation Scheme (NCMAS) in Australia.


Important Dates

Due to the high number of submissions and to guarantee high quality standards in the peer review process, we had to postpone:

Full Paper Submission Deadline August 7, August 18, August 25, 2023

Notification of Acceptance September 11, September 25, 2023

Early bird Registration Deadline September 18, September 29, 2023

Regular Registration Deadline September 25, October 6, 2023

Camera Ready Paper Submission October 9, October 13, 2023

SIET 2023 Main Event October 24 - 25, 2023

All times and date are in GMT +7.

We apologize for this situation and any inconvenience related to it.