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.

Zishu Lin

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.

Available to hire

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.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Chinese
Fluent

Work Experience

Graduate Research Assistant at Dalhousie University
September 1, 2024 - Present
Developed Byzantine-resilient federated transfer learning for zero-day attack detection in 5G networks. Implemented autoencoder-based anomaly detection with IQR statistical outlier analysis and adaptive thresholds. Deployed free5GC core network with UERANSIM achieving 80,000+ requests/second throughput for attack simulation.
Teaching Assistant & Marker at Dalhousie University
September 1, 2023 - Present
Evaluated assignments, provided technical feedback, and conducted tutorial sessions for CSCI 3171 (Computational Complexity) and CSCI 2110 (Data Structures & Algorithms).
Software Test Engineer Intern at AoJun Technology
May 1, 2024 - August 1, 2024
Designed and executed comprehensive test plans for enterprise software systems, including functional, integration, and regression testing. Identified and documented 150+ software defects through systematic testing methodologies, collaborating with development teams on bug resolution. Performed API testing using Postman and wrote test cases for RESTful services, ensuring system reliability.
Software Testing Intern at Anmwave Technology Co. Ltd
May 1, 2023 - August 1, 2023
Participated in plasma software testing project, conducting functional and stability testing for IoT-connected systems. Identified critical temperature-related bug affecting product stability through systematic testing and environmental analysis. Escalated findings with technical recommendations that led to implementation of temperature compensation function, significantly improving product reliability across varying environmental conditions.

Education

Master of Computer Science (MCS) at Dalhousie University
September 1, 2024 - January 25, 2026
Bachelor of Science in Computer Science at Dalhousie University
September 1, 2020 - May 1, 2024

Qualifications

Sexton Scholar Award
January 1, 2022 - December 31, 2023

Industry Experience

Software & Internet, Telecommunications, Professional Services