WiDS Livermore 2024 | Integrating Cyber Security and Machine Learning for App in Transportation Sys.

On February 28th, 2024, Women in Data Science (WiDS) Livermore hosted a datathon as an opportunity for early and mid-career data scientists and those looking to learn more about the field and try their hand at solving problems posed by a given dataset. Learn more about WiDS Livermore at https://data-science.llnl.gov/wids.

Guest speaker Dr. Bhavani Thuraisingham, the Founders Chair Professor of Computer Science and the Founding Executive of the Cyber Security Research and Education Institute of University of Texas at Dallas (UTD) presented: "Integrated Cyber Security and Machine Learning for Applications in Transportation Systems." Thuraisingham described the challenges associated with transportation systems using machine learning techniques developed for use in healthcare, finance, manufacturing, and cyber security applications to solve security issues like malware analysis and insider threat detection. She first covers her 10 years of research on machine learning systems, describes the work done by her team to secure the Internet of Transportation systems, and then describes her current work in Intelligent Transportation Systems Security.

Dr. Thuraisingham's 43+ year career includes industry (Honeywell), federal research laboratory (MITRE), US government (NSF) and US Academia. Her work has resulted in 130+ journal articles, 300+ conference papers, 200+ keynote and featured addresses, seven US patents, sixteen books, and podcasts. She received her PhD from the University of Wales, Swansea, UK, and the prestigious earned higher doctorate (D. Eng) from the University of Bristol, UK. She has a Certificate in Public Policy Analysis from the London School of Economics and Political Science.

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