Keynote Speaker I
Prof.Yonghui Li, IEEE Fellow
University of Sydney, Australia

Yonghui Li is a Professor and Director of Wireless Engineering Laboratory, in School of Electrical and Information Engineering, the University of Sydney. He is the recipient of the prestigious Australian Research Council (ARC) Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. His current research interests are in the area of wireless communications, Internet of Things, Wireless networks, 5G and wireless AI. He participated in $500million Australian national Smart Grid Smart City project, the world first large-scale demonstration project. He has published more than 200 papers in IEEE journals and conferences. Several of his journal papers have been included in ESI highly cited papers. According to google scholar, his research works have been cited more than 7000 times. His now an editor for IEEE Transactions on Communications, and IEEE Transactions on Vehicular Technology. He also served as a guest editor for several special issues of IEEE journals, such as IEEE JSAC special issue on Millimeter Wave Communications, IEEE Communications Magazine on Wireless AI, IEEE Access. He received the best paper awards from IEEE International Conference on Communications (ICC) 2014, IEEE PIMRC 2017 and IEEE Wireless Days Conferences (WD) 2014.


Keynote Speaker II

Prof. Xiangjian (Sean) He
University of Technology Sydney (UTS), Australia


Prof. Xiangjian He is the Director of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS). (

He is an IEEE Senior Member and has been an IEEE Signal Processing Society Student Committee member. He received a UTS Chancellor's Award for Research Excellence in 2018. He has also been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He has been carrying out research mainly in the areas of image processing, network security, pattern recognition, computer vision and machine learning in the previous years. He is a leading researcher in several research areas, and has recently been leading his reesarch teams for deep-learning-based and/or machine-learning-based research in the areas of human behavious recognition on a single image, human counting in a crowd, tiny object detection, 3D medical image restoration, image processing based on hexagonal structure, authorship identification of a document and a document’s components (e.g., sentences, sections etc.), network and cyber security, car license plate recognition of high speed moving vehicles with changeable and complex background, and video tracking with motion blur. He has played various chair roles in many international conferences such as ACM MM, MMM, ICDAR, IEEE BigDataSE, IEEE TrustCom, IEEE CIT, IEEE AVSS, IEEE TrustCom, IEEE ICPR and IEEE ICARCV.


He has received many competitive national or regional grants including FIVE grants awarded by Australian Research Council (ARC), three grants awarded by National Natural Science Foundation of China (NSFC), and one grant awarded by Hong Kong Research Grants Council (RGC). Very recently, he has received an ARC-LP grant of $540,000 for over three years from 2019-2022 and close to two-million dollars of industry grants awarded by Cisco, SAS, Sydney Trains, Data 61, RMCRC etc.

In recent years, he has many high quality publications in prestigious journals such as Journal of the Association for Information Science and Technology and ACM Computing Surveys, IEEE Transactions journals such as IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Reliability and IEEE Transactions on Consumer Electronics, and in Elsevier’s journals such as Pattern Recognition, Signal Processing, Automation in Construction, Information Sciences, Neurocomputing, Future Generation Computer Systems, Computer Networks, Computer and System Sciences, and Network and Computer Applications. He has also had papers published in premier international conferences and workshops such as ACL, IJCAI, CVPR, ECCV, ACM MM, TrustCom and WACV.


Speech Title: Performance-Enhancing CCNN for Crowd Counting

Abstract: Crowd counting, for estimating the number of people in a crowd using vision based computer techniques, has attracted much interest in research community. Although many attempts have been reported, real world problems, such as huge variation in subjects’ sizes in images and serious occlusion among people, make it still a challenging problem. In this study, we propose an Adaptive Counting Convolutional Neural Network (A-CCNN) and consider the scale variation of objects in a frame adaptively so as to improve the accuracy of counting. The existing approaches also typically end up with a complicated network model resulting in a challenge for real-time processing. In our approach, a new pruning strategy is proposed by considering the contributions of various filters to the final classification. The filters in the original CCNN model are grouped into positive, negative and irrelevant types. We prune the irrelevant filters of which feature maps contain little information, and the negative filters determined by a mask learned on a training dataset. We demonstrate the advantages of our proposed approach on a crowd counting problem. Our experimental results on benchmark datasets show that the proposed network model improves the counting accuracy.


Invited Speaker I
Assoc. Prof. Paul Lajbcygier,
Monash University, Australia


Paul Lajbcygier holds a joint appointment as Associate Professor in the Department of Banking and Finance and the Department of Econometrics and Business Statistics, Monash University, Clayton, Australia.

Paul Lajbcygier's work focuses on computational finance, investments, asset pricing and market microstructure. He graduated from Melbourne University and completed his PhD from Monash University in 2001. Paul has held appointments at The University of Oxford, New York University's Stern School of Business and London Business School.

He has published his research in leading global journals (including the Journal of Banking and Finance, Journal of Portfolio Management, IEEE Transactions on Neural Networks, and Journal of Business Ethics), leading to hundreds of citations in leading journals (such as recent citations in the Journal of Financial Economics, the Journal of Financial and Quantitative Analysis, and IEEE Transactions on Neural Networks). His SSRN Author rank in 2015 was 1,221 (of 293,678).

Paul has generated millions of dollars of grant money from varius national and international granting bodies, including various ARC Linkage and Discovery grants. Paul has been an Excellence Research Australia Peer Reviewer and an Australia Research Council Assessor. Since 1990, Paul has provided investment advice for various domesticand international funds managers, banks and hedge funds. He has had his work widely cited in the international press (including the Age, Chicago Tribune, Reuters, South China Morning Post, Bloomberg, Chief Investment Officer Magazine, CNBC and International Business Times).


Invited Speaker II

Prof. Eko K. Budiardjo,
University of Indonesia,Indonesia


Dr. Eko K. Budiardjo has been the faculty member of the Faculty of Computer Science - University of Indonesia since 1985. Teaching, research, and practical services are aligned; give result in a full spectrum of academic achievement. Majoring in Software Engineering as professional track record, he has made some scientific contribution such as Software Requirement Specification (SRS) patterns representation method, R3 Method, ZEF Framework, FrontCRM Framework, and Social CRM Framework for Higher Education Institution. Graduated from Bandung Institute of Technology (ITB) in 1985, holds Master of Science in Computer Science from the University of New Brunswick – Canada in 1991, and awarded Philosophical Doctor in Computer Science from the University of Indonesia in 2007. He is a member of the International Association of Engineers (IAENG); a senior member of the International Association of Computer Science and Information Technology (IACSIT). Currently he is the Head of Reliable Software Engineering (RSE) Lab., and Chairman of The Indonesian ICT Profession Society (IPKIN).