Jia-Chun Lin
About
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" (HyVar for short), which aimed to offer a development framework on the cloud for continuous and highly individualized evolution of distributed software applications. 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 (utdanningspris) from IIK, NTNU, 2022, an University Lecturer Qualification Scholarship (Kvalifiseringsstipend for universitetslektorer) 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.
Publications
Publications in 2023
- Ming-Chang Lee and Jia-Chun Lin, “RoLA: A Real-time Online Lightweight Anomaly Detection System for Multivariate time series” In Proceedings of the 18th International Conference on Software Technologies (ICSOFT 2023) (Ranking on CORE: B)
- Ming-Chang Lee and Jia-Chun Lin, “Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection” In Proceedings of the 18th International Conference on Software Technologies (ICSOFT 2023) (Ranking on CORE: B)
- Ming-Chang Lee, Jia-Chun Lin, and Volker Stolz, “NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series” is accepted by 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC 2023) (Ranking on CORE: B)
- Ming-Chang Lee and Jia-Chun Lin, “RePAD2: Real-time lightweight adaptive anomaly detection for open-ended time series,” In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023), pp. 208-217, 2023. arXiv preprint arXiv:2303.00409 (Ranking on CORE: C)
2021
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.
Transportation Research Record
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
2020
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Springer
Academic chapter/article/Conference paper
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2020)
A Configurable and Executable Model of Spark Streaming on Apache YARN.
International Journal of Grid and Utility Computing (IJGUC)
Academic article
-
Owe, Olaf;
Fazeldehkordi, Elahe;
Lin, Jia-Chun.
(2020)
A Framework for Flexible Program Evolution and Verification of Distributed Systems.
Communications in Computer and Information Science
Academic article
2019
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
-
Owe, Olaf;
Lin, Jia-Chun;
Fazeldehkordi, Elahe.
(2019)
A Flexible Framework for Program Evolution and Verification.
SciTePress
Academic chapter/article/Conference paper
2018
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.
Advanced Information Networking and Applications
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2018)
Modeling and simulation of spark streaming.
Advanced Information Networking and Applications
Academic article
2017
-
Lin, Jia-Chun;
Mauro, Jacopo;
Røst, Thomas Brox;
Yu, Ingrid Chieh.
(2017)
A model-Based Scalability Optimization Methodology for Cloud Applications.
Proceedings of the IEEE
Academic article
2016
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Yahyapour, Ramin.
(2016)
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.
IEEE Transactions on Parallel and Distributed Systems
Academic article
-
Lin, Jia-Chun;
Leu, Fang-Yie;
Chen, Ying-Ping.
(2016)
Impacts of Task Re-Execution Policy on MapReduce Jobs.
Computer journal
Academic article
-
Lin, Jia-Chun;
Yu, Ingrid Chieh;
Johnsen, Einar Broch;
Lee, Ming-Chang.
(2016)
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
Springer
Academic chapter/article/Conference paper
-
Johnsen, Einar Broch;
Lin, Jia-Chun;
Yu, Ingrid Chieh.
(2016)
Comparing AWS Deployments Using Model-Based Predictions.
Lecture Notes in Computer Science (LNCS)
Academic article
Journal publications
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks.
Transportation Research Record
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2020)
A Configurable and Executable Model of Spark Streaming on Apache YARN.
International Journal of Grid and Utility Computing (IJGUC)
Academic article
-
Owe, Olaf;
Fazeldehkordi, Elahe;
Lin, Jia-Chun.
(2020)
A Framework for Flexible Program Evolution and Verification of Distributed Systems.
Communications in Computer and Information Science
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN.
Advanced Information Networking and Applications
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2018)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang;
Yu, Ingrid Chieh;
Johnsen, Einar Broch.
(2018)
Modeling and simulation of spark streaming.
Advanced Information Networking and Applications
Academic article
-
Lin, Jia-Chun;
Mauro, Jacopo;
Røst, Thomas Brox;
Yu, Ingrid Chieh.
(2017)
A model-Based Scalability Optimization Methodology for Cloud Applications.
Proceedings of the IEEE
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Yahyapour, Ramin.
(2016)
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters.
IEEE Transactions on Parallel and Distributed Systems
Academic article
-
Lin, Jia-Chun;
Leu, Fang-Yie;
Chen, Ying-Ping.
(2016)
Impacts of Task Re-Execution Policy on MapReduce Jobs.
Computer journal
Academic article
-
Johnsen, Einar Broch;
Lin, Jia-Chun;
Yu, Ingrid Chieh.
(2016)
Comparing AWS Deployments Using Model-Based Predictions.
Lecture Notes in Computer Science (LNCS)
Academic article
Part of book/report
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Springer
Academic chapter/article/Conference paper
-
Owe, Olaf;
Lin, Jia-Chun;
Fazeldehkordi, Elahe.
(2019)
A Flexible Framework for Program Evolution and Verification.
SciTePress
Academic chapter/article/Conference paper
-
Lin, Jia-Chun;
Yu, Ingrid Chieh;
Johnsen, Einar Broch;
Lee, Ming-Chang.
(2016)
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
Springer
Academic chapter/article/Conference paper