[112.05.31]Exploring Norway, NTNU, and Time Series Anomaly Detection


主講人:林佳純教授(Department of Information Security and Communication Technology, Norwegian University of Science and Technology(NTNU), Gjøvik, Norway)
講 題:Exploring Norway, NTNU, and Time Series Anomaly Detection

In this talk, I will take you on a journey to Norway, where I have spent the last 7 years of my life. I will share my personal observations and experiences of living in Norway and share with you its stunning natural beauty, culture, people, and way of life. Next, I will introduce you to the Norwegian University of Science and Technology (NTNU) and the department where I work. NTNU is a leading academic institution in Norway and offers a wide range of study programs across various fields, including engineering, technology, natural sciences, social sciences, and the humanities. I will give an overview of the programs our department offers and the research areas we focus on. Finally, I will share my research on time series anomaly detection, which is a critical task in many fields, including finance, healthcare, and cybersecurity. I will explain the challenges involved in detecting anomalies in time series data, current research gaps, and introduce two real-time, online, and lightweight approaches for detecting anomalies in univariate time series and multivariate time series.

Jia-Chun Lin is an associate professor at the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology). 
Before this position, she was an assistant professor at the same department, NTNU from March 2019 to March 2022. Even before, she was a postdoctoral researcher in the Department of Informatics, at University of Oslo and worked on an EU research project entitled "Scalable Hybrid Variability for Distributed Evolving Software Systems". She has been a visiting scientist at UC Berkely, Karlsruhe Institute of Technology, and University of Göttingen in 2007, 2013, and 2014, respectively. She received her PhD degree from National Chiao Tung University (NCTU), Taiwan in 2015 and her master's degree from Tunghai University, Taiwan in 2005. 
Her research areas include time series analysis (including time series anomaly detection, time series representation, time series clustering), Internet of Things, security, privacy, machine learning, cloud computing, parallel & distributed computing. 
She received an education award from IIK, NTNU, 2022, a University Lecturer Qualification Scholarship from NTNU in 2019, the Excellent Student Paper Award from NCTU Taiwan in 2015, and two visiting scholarships in 2013-2014. 
She has around 17 years of experience working on research projects and played a leading and coordinating role in many of them. Currently, she is in the Critical Infrastructure Security and Resilience Group (CISaR), the e-Health and Welfare Security (e-HWS) research group, and the Networking research group. She also has her own group consisting of one PhD student and a number of master students. Currently, she supervises two PhD candidates and six master students on time series anomaly detection, IoT, security, and privacy related topics.