M.A.P. Chamikara

M.A.P. Chamikara is a Senior Research Scientist at CSIRO’s Data61 and is also affiliated with the Cyber Security Cooperative Research Centre (CSCRC) in Australia. He has published extensively in top-tier venues such as AAAI, WWW, ASE, ESORICS, CIKM, AsiaCCS, IEEE IoT, and IEEE Transactions on Industrial Informatics, attracting over 2,200 citations. As a leader of major projects at CSIRO, he has achieved significant outcomes, including an international patent (filed). Chamikara has been recognized with several CSIRO’s Data61 SCS awards, including the Science Excellence Award, Collaboration Award, Customer First Award, and Engineering and Technology Award. His work has also received national recognition, including the NSW iAwards Merit Award and the Victoria iAwards Merit Award, and has been a finalist in the AIIA National Awards on multiple occasions. Chamikara serves as an active program committee member and reviewer for many prestigious venues such as ESORICS, CIKM, ICML, ECML PKDD, WISE, and PRICAI. Over the past three years, he has delivered more than 15 invited talks at notable events, including the AUSTRAC Data Science Forum and the Privacy Enhancing Technologies Symposium (PETS) in Sydney. Chamikara’s ongoing commitment to innovation and excellence continues to drive significant advancements in cybersecurity and data science.

Ming Ding

Ming Ding is a Principal Research Scientist and Science Lead at Data61, CSIRO, based in Sydney, NSW, Australia. With over a decade of professional experience in data science, AI, and cybersecurity, he has developed a strong track record in research and has co-organized more than a dozen academic workshops. He has authored over 250 peer-reviewed IEEE/ACM journal and conference papers, accruing more than 16,000 citations. Notably, in 2017, he organized an industry session on unmanned aerial vehicles at IEEE Globecom, which was recognized as the "Most Attended Industry Program." Recently, he served as the Workshop Co-chair at the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) in 2024. Additionally, he has been an invited keynote speaker at prestigious institutions and conferences, including the IEEE Signal Processing Society Information Forensics and Security Technical Committee Webinar in 2023. 

Viet Vo

Viet Vo is a Lecturer at Swinburne University with a Ph.D. in Cybersecurity from Monash University and three years of postdoctoral experience at Monash and the University of Queensland. His research focuses on data security and privacy, with work featured in venues of ACM CCS, ACNS, IEEE TKDE, and IEEE IoT. A list of conferences he acts as organising Commitee include ACM AsiaCCS'23 and '25, Australasian Information Security Conference'22, International Conference on Network and System Security 2022, and EAI International Conference on Ad Hoc Networks in 2021 and 2022. He is also PCs of USENIX Security 2025, Australasian Information Security Conference (AISC) 2025, Building a Secure & Empowered Cyberspace (BuildSec) 2024, The 20th International Conference on Mobility, Sensing and Networking (MSN) 2024, The 21st Annual International Conference on Privacy, Security, and Trust (PST2024), The 6th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS) 2024, The 25th International Web Information Systems Engineering conference, Trustworthy ML for Web Info Systems Track (WISE)2024, ACM AsiaCCS'23. He was external reviewers of Usenix Security Symposium 2023, 2024, The Network and Distributed System Security Symposium 2023, IEEE European Symposium on Security and Privacy 2023, International Conference on Applied Cryptography and Network Security (ACNS) 2023, IEEE Conference on Dependable and Secure Computing 2018, 2019, IEEE International Conference on Information and Communications Security 2021, Australasian Symposium on Parallel and Distributed Computing ACSW 2021. Currently, he is also  reviewers of IEEE TDSC, IEEE TIFS, IEEE TSC, IEEE TKDE, Journal of Cryptology, IEEE Internet of Things Journal, International Journal of Information Security, and IEEE Transactions on Cloud Computing. 

Helen Paik

Helen Paik is an Associate Professor in the School of Computer Science and Engineering at UNSW Sydney, where she also leads the Software Engineering research group and serves as a Work Package Lead in the Cybersecurity Cooperative Research Centre. Her research focuses on distributed software systems, privacy and security in distributed environments, cyber-physical systems, blockchain, and applied machine learning. Helen has published over 130 peer-reviewed papers across these domains. She is an experienced educator in data management and web applications and has successfully led numerous industry collaborations through Cooperative Research Centre and Industry-based PhD programs, delivering impactful, practical outcomes. She is a senior member of IEEE, and serves as chairs in technical committees in many international conferences, as well as being an Associate Editor of Transactions on Services Computing and International Journal of Cooperative Information Systems. 

Kaidi Xu

Kaidi Xu is an Assistant Professor in the Department of Computer Science at Drexel University. He earned his Ph.D. from Northeastern University in 2021. Dr. Xu’s research focuses on Trustworthy AI, particularly in the areas of rigorous robustness verification and practical adversarial attacks. He has published extensively in top international conferences, and his work on the 'Adversarial T-shirt' garnered over 200 media mentions. Dr. Xu developed the auto_LiRPA library for neural network verification and, along with his team, has won the International Verification of Neural Networks Competition (VNN-COMP) for three consecutive years (2021, 2022, and 2023). He has also co-organized notable events such as the ATVA 2021 Workshop on Security and Reliability of Machine Learning, the AAAI 2022 Tutorial on Formal Verification of Deep Neural Networks, and the ICML 2022 Workshop on Formal Verification of Machine Learning. In recognition of his contributions, Dr. Xu received the Faculty Research Excellence Award from Drexel University. 

Mohan Baruwal Chhetri 

Mohan Baruwal Chhetri is a Principal Research Scientist at CSIRO's Data61, where he leads the Human-Machine Collaboration for Cybersecurity research theme. He holds a PhD from Swinburne University and a Master of Information Technology from Monash University. With 19 years of R&D experience, Dr. Baruwal Chhetri's research focuses on developing intelligent solutions to enhance human decision-making in cyber-physical-social ecosystems, with a particular emphasis on cybersecurity. His work spans autonomous AI decision-making, AI-augmented decision-making to support human expertise, and collaborative human-AI problem solving. 

As an IEEE Senior Member, he has substantial experience organising international workshops and conferences. He is the founding co-chair of the International Workshop on Human-Centric Software Engineering and Cyber Security (since 2020), and the 2024 IEEE Workshop on Security and Resiliency of Critical Infrastructure and Space Technologies. Dr. Baruwal Chhetri has been involved with the IEEE International Conference on Collaboration and Internet Computing (CIC) since 2017, serving in roles such as Finance Chair, Tutorials Co-Chair, and Workshop Co-Chair. Similarly, he has served as the Workshop Co-Chair for IEEE International Conference on Information Retrieval and Integration for Data Science (IRI) in 2018-2019. Additionally, he was Track Chair for the J1C2 Track at the IEEE World Congress on SERVICES in 2021-22 and served on the Advisory Committee for SERVICES 2023, further demonstrating his leadership and commitment to advancing both research and the professional community.