ICSPIS https://icspis.com ICSPIS Wed, 11 Oct 2023 05:19:38 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://icspis.com/wp-content/uploads/2020/08/icon-150x150.png ICSPIS https://icspis.com 32 32 Understanding the Transformative Power of Generative AI in Modern Communication and Information Security https://icspis.com/understanding-the-transformative-power-of-generative-ai-in-modern-communication-and-information-security/ Wed, 11 Oct 2023 04:53:51 +0000 https://icspis.com/?p=1455

Prof. Amin Beheshti

Director, Centre for Applied Artificial Intelligence & Head, Data Science Lab & Founder, Big Data Society

Prof. Dr. Amin Beheshti is a Full Professor of Data Science, the Director of the Centre for Applied Artificial Intelligence, the head of the Data Science Lab, and the founder of the Big Data Society at Macquarie University, Sydney, Australia. Additionally, he is an Adjunct Professor of Computer Science at UNSW Sydney, Australia. Amin completed his PhD and Postdoc in Computer Science and Engineering at UNSW Sydney, and holds a Master’s and Bachelor’s degree in Computer Science, both with First Class Honours. Alongside his teaching activities, Amin has made significant contributions to research projects, serving as the R&D Team Lead and Key Researcher in the ‘Case Walls & Data Curation Foundry’ and ‘Big Data for Intelligence’ projects. These projects were awarded the National Security Impact Award in both 2016 and 2017. As a distinguished researcher in Big-Data/Data/Process Analytics, Amin has been invited to serve as a Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. He is also a leading author of several authored books in data, social, and process analytics, co-authored with other high-profile researchers. Amin has secured over $23.9 million in research grants for AI-Enabled, Data-Centric, and Intelligence-Led projects.

Research
]]> Machine Learning for Cybersecurity and Privacy – Prof. Benjamin C. M. Fung https://icspis.com/machine-learning-for-cybersecurity-and-privacy/ Tue, 20 Jun 2023 10:31:23 +0000 https://icspis.com/?p=1369

Prof. Benjamin C. M. Fung

Canada Research Chair & Professor, School of Information Studies, McGill University, Canada

Dr. Benjamin Fung is a Canada Research Chair in Data Mining for Cybersecurity, a Full Professor of School of Information Studies (SIS) at McGill University, and an Associate Editor of IEEE Transactions on Data and Engineering (TKDE) and Elsevier Sustainable Cities and Society (SCS). He received a Ph.D. degree in computing science from Simon Fraser University in 2007. Collaborating closely with the national defense, law enforcement, transportation, and healthcare sectors, he has published over 140 refereed articles that span across the research forums of data mining, machine learning, privacy protection, and cybersecurity with over 14,000 citations and h-index 57. His data mining works in crime investigation and authorship analysis have been reported by media, including New York Times, BBC, CBC, etc. Dr. Fung is a licensed professional engineer in software engineering.

Research
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