Dr. Nguyen H. Tran

Title: Federated Machine Learning for Intelligent Edge Networks


Nguyen H. Tran (S’10-M’11-SM’18) received BS and Ph.D degrees, from HCMC University of Technology and Kyung Hee University, in electrical and computer engineering, in 2005 and 2011, respectively. He was an Assistant Professor with the Department of Computer Science and Engineering, Kyung Hee University, from 2012 to 2017. Since 2018, he has been with the School of Computer Science, The University of Sydney, where he is currently a Senior Lecturer. His research interests include distributed computing, machine learning, and networking. He received the best KHU thesis award in engineering in 2011 and several best paper awards, including IEEE ICC 2016 and ACM MSWiM 2019. He received the Korea NRF Funding for Basic Science and Research 2016-2023 and ARC Discovery Project 2020-2023. He was an Editor of IEEE Transactions on Green Communications and Networking from 2016 to 2020, and an Associate Editor of IEEE Journal of Selected Areas in Communications 2020 in the area of distributed machine learning/Federated Learning.


Watch Dr. Nguyen H. Tran’s keynote invitation

Emerging Internet of Things (IoT) applications such as augmented reality, autonomous driving, surveillance, and industry 4.0 generate significant amounts of data. The effective deployment of such applications is thus reliant on the use of advanced machine learning techniques so as to properly exploit the generated data. However, traditional machine learning schemes use centralized training data at a data center which requires data transfer from a massive number of distributed IoT devices to a third-party location which raises serious privacy concerns and can be inefficient in its use of communication resources. Relating to these privacy and communication concerns, this talk will introduce the state-of-the-art  techniques of distributed and edge-assisted learning algorithms in federated learning (FL) that will play a critical role in the next generation of intelligent edge computing network.

Prof. Craig Valli

Title: Machiavellian Cyber- 20 Year perspective on Honeypot Technologies


Professor Valli has over 30 years’ experience in the ICT Industry, and regularly consults with industry and government, conducting research on securing networks and critical infrastructures, detection of network borne threats, forensic analysis of cyber security incidents, network security and digital forensics he has over 200 refereed publications. 
Craig started his university career in 2000, holding various positions including Lecturer and then Head of School for the School of Computer and Security Science in 2009, Craig was made a Professor of Digital Forensics in the same year. He continued as Head of School before accepting his current position of Director of the ECU Security Research Institute in 2012. Craig and his team led the bid for the now successful, $140 million 7 year Cyber Security Co-operative Research Centre (CSCRC) headquartered in WA. Craig is a member of the High Tech Crime Investigators Association (Australian Chapter), the INTERPOL Cyber Crime Experts Group and also INTERPOL Digital Forensics Expert Group. A member of AISA and IEEE and is a Fellow of the Australian Computer Society. He serves on several cyber security related conference committees and journal editorial boards.