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ICIAI 2024 Keynote Speakers

Prof. Jinjun Chen - Fellow of IEEE
Swinburne University of Technology, Australia

Dr Jinjun Chen is a Professor from Swinburne University of Technology, Australia. He is the Deputy Director of Swinburne Data Science Research Institute. He holds a PhD in Information Technology from Swinburne University of Technology, Australia. His main research interests include distributed computing, e.g. distributed systems, cloud computing, data privacy and security, scalable and efficient data storage and processing in cloud (privacy processing), data systems, and related various research topics. His research results have been published in more than 200 papers in international journals and conferences, including various IEEE/ACM Transactions.
In 2022, Professor Chen was elected as a member of the prestigious Academia Europaea. He has received the 2020 Research Excellence Award (School of Software and Electrical Engineering, Swinburne); UTS Vice-Chancellor's Awards for Research Excellence Highly Commended (2014), UTS Vice-Chancellor's Awards for Research Excellence Finalist (2013), Swinburne Vice-Chancellor’s Research Award (ECR) (2008), IEEE Computer Society Outstanding Leadership Award (2008-2009) and (2010-2011), IEEE Computer Society Service Award (2007), Swinburne Faculty of ICT Research Thesis Excellence Award (2007). He served as an Associate Editor for IEEE Transactions on Computers, IEEE Transactions on Sustainable Computing, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, ACM Computing Surveys, as well as other journals such as Journal of Computer and System Sciences, Concurrency and Computatin: Practice and Experience. He was the Chair of IEEE Computer Society’s Technical Committee on Scalable Computing (TCSC).

IEEE Fellow, Highly Cited Researcher (2021)

Cloud computing, Scalable privacy protection, Data privacy and security, Distributed computing

Prof. Jinjun ChenSwinburne University of Technology, Australia

Prof. Xingquan (Hill) Zhu - Fellow of IEEE
Florida Atlantic University, USA

I am a Professor in the Dept. of Electrical Engineering and Computer Science , Florida Atlantic University . I received my Ph.D degree in Computer Science from Fudan University, Shanghai, China. My research mainly focuses on Data Mining, Machine Learning, Multimedia Systems, and Bioinformatics. I am an IEEE Fellow (Class of 2023) for contributions to data mining for big data analytics and network representation learning, and a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).

IEEE Fellow, AAIA Fellow

Data Mining and Machine Learning, Information Retrieval, Bioinformatics

Prof. Xingquan (Hill) ZhuFlorida Atlantic University, USA

Prof. Kazue Sako
Waseda University, Japan

Dr. Kazue Sako is a professor at Department of Computer Science and Engineering at Waseda University.
Her research topic is on cryptographic protocols that enhance privacy and fairness, e.g. electronic voting protocols, anonymous authentication schemes, and digital lottery systems. She is an Expert in ISO/IEC JTC1 SC27 WG5( Identity and Privacy) and edited ISO 29191"Requirements for Partially Anonymous, Partially Unlinkable Authentication." She served as Program co-Chair/ Chair for many international conferences including ASIACRYPT, PKC, ESORICS, RSA conference Cryptographer's Track, Financial Cryptography and Data Security, ACNS and AsiaCCS. She is a council member of the Science Council of Japan, and was the 26th president of Japan Society for Industrial and Applied Mathematics. She is currently serving as a vice chair of MyDataJapan.

electronic voting protocols, anonymous authentication schemes, and digital lottery systems

Prof. Kazue Sako Waseda University, Japan