Spring 2019 to present: Graduate Research Assistant at North Carolina State University Researching anomaly detection in containers environment to create insights on best practices for users. One conference paper as the first author is under review. One short conference paper and one poster were accepted as the second author.
May 2020 to July 2020: Instructor at North Carolina State University Delivered online synchronous section of 13 undergraduate students on Operating Systems, and updated teaching materials, resulting in a 92% pass rate.
May 2019 to July 2019: Instructor at North Carolina State University Taught on campus section of 19 undergraduate students on Operating Systems (CSC 246), including multithreaded programming in Java and C, CPU scheduling and memory management, resulting in a 90% pass rate. Average score of question “Overall this course was excellent” on class evaluation achieved 4.5 out of 5, which was higher than department average score of 4.3.
Lin Y., Lee B.S., Lustgarten D. (2019) Continuous Detection of Abnormal Heartbeats from ECG Using Online Outlier Detection. In: Lossio-Ventura J., Muñante D., Alatrista-Salas H. (eds) Information Management and Big Data. SIMBig 2018. Communications in Computer and Information Science, vol 898. Springer, Cham
Lin, Y., Tunde-Onadele, O. and Gu, X., 2020, December. CDL: Classified Distributed Learning for Detecting Security Attacks in Containerized Applications. In Annual Computer Security Applications Conference (pp. 179-188)