As a postdoctoral researcher in the Security and Networks Group within the division Database and Information Techniques, I specialize in developing and applying statistical modeling and machine learning techniques to analyze complex patterns across diverse data types, including social networks, textual data, images, and more.
With a strong background in data science, I am passionate about transforming data into actionable insights for the research community and industry beneficiaries. My research, encompassing both methodological advancements and practical applications, has been published in top venues such as AAAI ICWSM, ACM WebSci, IEEE/ACM ASONAM, and PAM. This commitment extends to lecturing, mentoring students, and supervising multiple master's theses on related topics, showcasing my dedication to practical applications in network security and data science. I also actively contribute to the academic community by serving on the technical program committee of leading conferences in the field, including ACM WebSci, AAAI ICWSM, and IEEE/ACM ASONAM.
