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 University of Göttingen, Karlsruhe Institute of Technology, and UC Berkely in 2014, 2013, and 2007, respectively. She received her PhD degree from National Chiao Tung University (NCTU), Taiwan in 2015 and her master degree from TungHai University, Taiwan in 2005.
Her research interests include parallel and distributed computing, cloud computing, Internet of Things, security & privacy, and machine learning. Currently she has published 2 IEEE transactions papers, 12 international journal papers, 24 international conference papers, and 1 book chapter in the above areas. Her current h-index and i10-index are 11 and 14, respectively.
She received an ecucation award (utdanningspris) from IIK, NTNU, 2022, an Unviersity Lecturer Qualification Scholarship (Kvalifiseringsstipend for universitetslektorer) from NTNU in 2019, the Excellent Student Paper Award from NCTU Taiwan in 2015, and two visiting schoarlships 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 e-Health and Welfare Security (e-HWS) research group, and she 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 IoT-related topics.
Publications
2021
-
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.
volum 2675 (10).
Academic article
-
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?.
Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1.
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
Academic chapter/article
2020
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Academic chapter/article
-
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.
Euro-Par 2020: Euro-Par 2020: Parallel Processing.
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Academic chapter/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).
volum 11 (2).
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.
volum 1161 CCIS.
Academic article
2019
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
nternet of Things: Engineering Cyber Physical Human Systems.
volum 7.
Academic article
-
Owe, Olaf;
Lin, Jia-Chun;
Fazeldehkordi, Elahe.
(2019)
A Flexible Framework for Program Evolution and Verification.
Modelsward 2019.
Academic chapter/article
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.
volum 2018-May.
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.
volum 2018-May.
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
-
Johnsen, Einar Broch;
Lin, Jia-Chun;
Yu, Ingrid Chieh.
(2016)
Comparing AWS Deployments Using Model-Based Predictions.
Lecture Notes in Computer Science (LNCS).
volum 9953.
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.
volum 27 (6).
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation.
volum 28 (9).
Academic article
-
Lin, Jia-Chun;
Leu, Fang-Yie;
Chen, Ying-Ping.
(2016)
Impacts of Task Re-Execution Policy on MapReduce Jobs.
Computer journal.
volum 59 (5).
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.
Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings.
Academic chapter/article
Scientific articles
-
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.
volum 2675 (10).
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).
volum 11 (2).
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.
volum 1161 CCIS.
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Owe, Olaf.
(2019)
PDS: Deduce elder privacy from smart homes.
nternet of Things: Engineering Cyber Physical Human Systems.
volum 7.
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.
volum 2018-May.
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.
volum 2018-May.
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
-
Johnsen, Einar Broch;
Lin, Jia-Chun;
Yu, Ingrid Chieh.
(2016)
Comparing AWS Deployments Using Model-Based Predictions.
Lecture Notes in Computer Science (LNCS).
volum 9953.
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.
volum 27 (6).
Academic article
-
Lin, Jia-Chun;
Lee, Ming-Chang.
(2016)
Performance evaluation of job schedulers on Hadoop YARN.
Concurrency and Computation.
volum 28 (9).
Academic article
-
Lin, Jia-Chun;
Leu, Fang-Yie;
Chen, Ying-Ping.
(2016)
Impacts of Task Re-Execution Policy on MapReduce Jobs.
Computer journal.
volum 59 (5).
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?.
Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1.
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2021)
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series.
Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Academic chapter/article
-
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.
Euro-Par 2020: Euro-Par 2020: Parallel Processing.
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2020)
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series.
2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).
Academic chapter/article
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2020)
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction.
Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020).
Academic chapter/article
-
Owe, Olaf;
Lin, Jia-Chun;
Fazeldehkordi, Elahe.
(2019)
A Flexible Framework for Program Evolution and Verification.
Modelsward 2019.
Academic chapter/article
-
Lin, Jia-Chun;
Yu, Ingrid Chieh;
Johnsen, Einar Broch;
Lee, Ming-Chang.
(2016)
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters.
Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings.
Academic chapter/article
Teaching
Courses
Media
2020
-
Academic lectureLee, Ming-Chang; Lin, Jia-Chun. (2020) DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. The 34th International Conference on Advanced Information Networking and Applications (AINA 2020) ; 2020-04-15 - 2020-04-17.
-
Academic lectureLee, 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. The 26th International European Conference on Parallel and Distributed Computing (EURO-PAR 2020) ; 2020-08-24 - 2020-08-28.
2016
-
Academic lectureJohnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh. (2016) AWS deployments using model-based predictions. the 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2016) ; 2016-10-05 - 2016-10-14.
-
Academic lectureLin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang. (2016) ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. 19th International Conference on Fundamental Approaches to Software Engineering ; 2016-04-02 - 2016-04-08.
2015
-
Academic lectureOwe, Olaf; Lin, Jia-Chun; Yu, Ingrid Chieh. (2015) A Formal Framework Supporting Unrestricted Software Changes in Object-Oriented Concurrent Systems. 27th Nordic Workshop on Programming Theory (NWPT 2015) . Reykjavik University; Reykjavik. 2015-10-21 - 2015-10-23.