I am Zishu Lin, a Master of Computer Science candidate at Dalhousie University focusing on Byzantine-robust federated transfer learning for zero-day attack detection in 5G core networks. My research spans ML security, Byzantine fault tolerance, and 5G cybersecurity, supervised by Dr. Srinivas Sampalli and Dr. Yujie Tang. In parallel, I enjoy applying ML and security research to real-world systems and mentoring others in computational topics.
Beyond academia, I work as a Graduate Research Assistant and Teaching Assistant, building scalable defense mechanisms, autoencoder-based anomaly detection, and conducting security-focused simulations on a 5G testbed. I bring industry experience in software testing from internships at AoJun Technology and Anmwave, with a track record of identifying defects, designing test plans, and improving product reliability.
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