Jia-Chun Lin
About
Jia-Chun Lin is an Associate Professor in the Department of Information Security and Communication Technology at NTNU (Norwegian University of Science and Technology). Originally from Taiwan, she previously held the position of Assistant Professor in the same department from March 2019 to March 2022. Prior to that, she was a postdoctoral researcher in the Department of Informatics at the University of Oslo from June 2015 to March 2019.
She received her Ph.D. degree from National Chiao Tung University (NCTU), Taiwan, in 2015, and her master’s degree from Tunghai University, Taiwan, in 2005. She has been a visiting scientist at UC Berkeley, Karlsruhe Institute of Technology, and the University of Göttingen in 2007, 2013, and 2014, respectively.
Her academic achievements include receiving the Education Award (Utdanningspris) from the Department of Information Security and Communication Technology (IIK), NTNU, in 2022; the University Lecturer Qualification Scholarship (Kvalifiseringsstipend for universitetslektorer) from NTNU in 2019; and the Excellent Student Paper Award from NCTU, Taiwan, in 2015. She also received two visiting scholarships for research stays at the University of Göttingen and the Karlsruhe Institute of Technology, Germany, in 2013–2014.
Her research interests include cybersecurity and privacy, anomaly detection and time series analysis, artificial intelligence and machine learning, cyber-physical systems and critical infrastructure protection, as well as distributed and cloud computing systems.
She has approximately 20 years of experience working on research projects and has played leading and coordinating roles in many of them. She currently leads Work Package 3 of NORCICS (Norwegian Centre for Cybersecurity in Critical Sectors) and the DC12 project within TUAI (Towards an Understanding of Artificial Intelligence), a European HORIZON MSCA Doctoral Network project.
In addition, she is affiliated with the Critical Infrastructure Security and Resilience Group (CISaR) and the e-Health and Welfare Security (e-HWS) research group at IIK, NTNU. She is currently supervising multiple Ph.D., master’s, and bachelor’s students. To date, she has supervised more than 15 master’s students and over 60 bachelor’s students.
She serves as Publicity Chair of the International Conference on Internet of Things, Big Data, and Security (IoTBDS), and Co-chair of CWEURP 2024. Additionally, she serves on the program committees of various conferences and workshops, including DSAA 2023, ICGEC 2023, COMPSAC 2023–2024, ICAPAI 2024, EAI MobiQuitous 2024, and DBSec 2025, among others.
Her administrative roles include overseeing expert committees for academic positions and serving as an examiner for multiple Ph.D., master’s, and bachelor’s projects. As a dedicated reviewer, she contributes to journals such as IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Internet of Things Journal, The Journal of Supercomputing, International Journal of Information Security, Concurrency and Computation: Practice and Experience (CCPE), and Computers in Industry, among others.
Publications
2025
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
2024
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Nordnes, Kevin;
Lin, Jia-Chun;
Lee, Ming-Chang;
Chang, Victor.
(2024)
IoTective: Automated Penetration Testing for Smart Home Environments.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection.
Concurrency and Computation
Academic article
-
Khatiwada, Pankaj;
Yang, Bian;
Lin, Jia-Chun;
Mugurusi, Godfrey;
Underbekken, Stian.
(2024)
A Reference Design Model to Manage Consent in Data Subjects-Centered Internet of Things Devices.
IoT
Academic article
-
Khatiwada, Pankaj;
Yang, Bian;
Lin, Jia-Chun;
Blobel, Bernd.
(2024)
Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy.
Journal of Personalized Medicine
Academic literature review
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection.
Springer
Academic chapter/article/Conference paper
-
Ulsmåg, Benjamin Andreas;
Lin, Jia-Chun;
Lee, Ming-Chang.
(2024)
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2024)
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.
SciTePress
Academic chapter/article/Conference paper
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Lee, Ming-Chang;
Gran, Ernst Gunnar.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
SciTePress
Academic chapter/article/Conference paper
2023
-
Khatiwada, Pankaj;
Fauzi, Muhammad Ali;
Yang, Bian;
Lin, Jia-Chun;
Yeng, Prosper Kandabongee;
Sun, Luyi.
(2023)
Threats and Risk on Using Digital Technologies for Remote Health Care Process.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Academic anthology/Conference proceedings
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2023)
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
SciTePress
Academic chapter/article/Conference paper
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
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
-
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
2020
-
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 (CCIS)
Academic 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.
IEEE conference proceedings
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
-
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
-
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)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
Springer
Academic chapter/article/Conference paper
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)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
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
-
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
-
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
-
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
-
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
Journal publications
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar.
(2025)
UoCAD2: An unsupervised online contextual anomaly detection approach using optimized hyperparameters of RNNs for multivariate time series.
Internet of Things: Engineering Cyber Physical Human Systems
Academic article
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Exploring the effects of RNNs and deep learning frameworks on real-time, lightweight, adaptive time series anomaly detection.
Concurrency and Computation
Academic article
-
Khatiwada, Pankaj;
Yang, Bian;
Lin, Jia-Chun;
Mugurusi, Godfrey;
Underbekken, Stian.
(2024)
A Reference Design Model to Manage Consent in Data Subjects-Centered Internet of Things Devices.
IoT
Academic article
-
Khatiwada, Pankaj;
Yang, Bian;
Lin, Jia-Chun;
Blobel, Bernd.
(2024)
Patient-Generated Health Data (PGHD): Understanding, Requirements, Challenges, and Existing Techniques for Data Security and Privacy.
Journal of Personalized Medicine
Academic literature review
-
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
-
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 (CCIS)
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
-
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)
Privacy Mining from IoT-based Smart Homes (Online version).
Lecture Notes on Data Engineering and Communications Technologies
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
-
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
-
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
-
Lin, Jia-Chun;
Leu, Fang-Yie;
Chen, Ying-Ping.
(2016)
Impacts of Task Re-Execution Policy on MapReduce Jobs.
Computer journal
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
Books
-
Khatiwada, Pankaj;
Fauzi, Muhammad Ali;
Yang, Bian;
Lin, Jia-Chun;
Yeng, Prosper Kandabongee;
Sun, Luyi.
(2023)
Threats and Risk on Using Digital Technologies for Remote Health Care Process.
Association for Computing Machinery (ACM)
Association for Computing Machinery (ACM)
Academic anthology/Conference proceedings
Part of book/report
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Gran, Ernst Gunnar;
Lee, Ming-Chang.
(2024)
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Nordnes, Kevin;
Lin, Jia-Chun;
Lee, Ming-Chang;
Chang, Victor.
(2024)
IoTective: Automated Penetration Testing for Smart Home Environments.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Katsikas, Sokratis.
(2024)
Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection.
Springer
Academic chapter/article/Conference paper
-
Ulsmåg, Benjamin Andreas;
Lin, Jia-Chun;
Lee, Ming-Chang.
(2024)
Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments.
Springer
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2024)
Evaluation of K-Means Time Series Clustering Based on Z-Normalization and NP-Free.
SciTePress
Academic chapter/article/Conference paper
-
Toor, Aafan Ahmad;
Lin, Jia-Chun;
Lee, Ming-Chang;
Gran, Ernst Gunnar.
(2024)
UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun;
Stolz, Volker.
(2023)
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection.
SciTePress
Academic chapter/article/Conference paper
-
Lee, Ming-Chang;
Lin, Jia-Chun.
(2023)
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series.
SciTePress
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.
(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.
(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)
RePAD: Real-Time Proactive Anomaly Detection for Time Series.
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)
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing.
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
Teaching
Courses
Outreach
2024
-
Academic lectureToor, Aafan Ahmad; Lin, Jia-Chun; Lee, Ming-Chang; Gran, Ernst Gunnar. (2024) UoCAD: An Unsupervised Online Contextual Anomaly Detection Approach for Multivariate Time Series from Smart Homes. SciTePress 9th International Conference on Internet of Things, Big Data and Security , Angers 2024-04-28 - 2024-04-30
2023
-
Academic lectureToor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang. (2023) An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT) 2023-12-11 - 2023-12-12
2022
-
Academic lectureZoto, Erjon; Lin, Jia-Chun. (2022) Towards Enhancing Student Learning Through Improving Teaching Activities in an Interdisciplinary Context – Lessons learned and the way forward. NTNU Experts in Teamwork Interdisciplinary teamwork skills for the 21st century (Its21) , Trondheim 2022-06-16 - 2022-06-17