Research output per year
Research output per year
Personal profile
In Korean
이인수 교수(IT대학 전자공학부)
Education
1986 : BS degrees in Electronic Engineering from Kyungpook National University
1989 : MS degrees in Electronic Engineering from Kyungpook National University
1997 : PhD degrees in Electronic Engineering from Kyungpook National University
1989 : MS degrees in Electronic Engineering from Kyungpook National University
1997 : PhD degrees in Electronic Engineering from Kyungpook National University
Professional Experience
1997. 3 ~ 2008. 2 : professor in the School of Electronic and Electrical Engineering at Sangju National University
2008. 3 ~ 2014. 10 : professor in the Department of Electronic Engineering at Kyungpook National University
2014. 11 ~ now : professor in the School of Electronic Engineering at Kyungpook National University
2005. 8 ~ 2007. 1 : a research scholar at San Diego State University
2008. 3 ~ 2014. 10 : professor in the Department of Electronic Engineering at Kyungpook National University
2014. 11 ~ now : professor in the School of Electronic Engineering at Kyungpook National University
2005. 8 ~ 2007. 1 : a research scholar at San Diego State University
Research Interests
Fault diagnosis, Fault tolerant control, Intelligent control using neural networks, Battery SOC and SOH, Fault diagnosis of solar panel, Intelligent sensor system, Automation and robot system
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Analysis and Diagnosis of the Effect of Voltage and Current Sensor Faults on the State of Charge Estimation of Lithium-ion Batteries Based on Neural Networks
Hwang, J. H., Lee, J. H. & Lee, I. S., May 2024, In: International Journal of Control, Automation and Systems. 22, 5, p. 1691-1706 16 p.Research output: Contribution to journal › Article › peer-review
7 Scopus citations -
Hybrid Estimation Method for the State of Charge of Lithium Batteries Using a Temporal Convolutional Network and XGBoost
Lee, J. H. & Lee, I. S., Nov 2023, In: Batteries. 9, 11, 544.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Induction Motor Fault Diagnosis Using Support Vector Machine, Neural Networks, and Boosting Methods
Kim, M. C., Lee, J. H., Wang, D. H. & Lee, I. S., Mar 2023, In: Sensors. 23, 5, 2585.Research output: Contribution to journal › Article › peer-review
Open Access62 Scopus citations -
Neural Network-Based State of Charge Estimation Method for Lithium-ion Batteries Based on Temperature
Wang, D., Lee, J., Kim, M. & Lee, I., 2023, In: Intelligent Automation and Soft Computing. 36, 2, p. 2025-2040 16 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Temperature-Based State-of-Charge Estimation Using Neural Networks, Gradient Boosting Machine and a Jetson Nano Device for Batteries
Wang, D., Hwang, J., Lee, J., Kim, M. & Lee, I., Mar 2023, In: Energies. 16, 6, 2639.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations