Yasaman Samadi

Yasaman Samadi is a Cyber Security Researcher and PhD Candidate at RMIT University, specialising in cryptocurrency fraud detection, cross-chain financial crime, and blockchain analytics. Her work focuses on uncovering sophisticated laundering behaviours that evade traditional detection systems, particularly in complex environments where transactions span multiple platforms and infrastructures.

With a background as a Quantum Computer Engineer in Europe, she brings a multidisciplinary perspective across artificial intelligence, distributed systems, and emerging cryptographic challenges. Her research integrates machine learning and graph-based techniques to detect complex, real-world cyber threats, with a strong emphasis on operational relevance and industry application.

Yasaman’s work has been recognised through multiple national and international achievements. She is a finalist in the Australian Cyber Awards (Cyber Daily) and the Australian Women in Security Awards, including recognition in the “Best in Quantum in Cyber Champion” and “Best Use of AI” categories. She is also the author of a published book on machine learning in data security and has contributed to A\* conference and journal publications and peer-reviewed research in leading venues. Her thought leadership has been featured in Cyber Today (AISA), where she explores emerging challenges in modern cybercrime.

She actively collaborates with industry partners to translate research into actionable security insights and contributes to the broader cyber security community through speaking engagements, mentoring, and her involvement with initiatives such as Quantum Women and APOC.

Her work sits at the intersection of cyber security, finance, and emerging technologies, with a focus on strengthening detection capabilities in an increasingly complex and interconnected digital landscape.