Hi, I’m Jingeun Kim, Computer Science Ph.D. student at Gachon University, advised by Prof. Yourim Yoon. I recieved B.S & M.S. in Computer Engineering at Gachon University.

My research primarily focuses on developing efficient machine learning frameworks. Specifically, I aim to explore efficient models using neural architecture search based on genetic algorithms. Furthermore, I am currently working on model compression, particularly pruning, using genetic algorithms for CNN-based models and pre-trained language models.

Feel free to reach out if you’d like to chat or collaborate with me.

News

• [2024. Jun] “Improving Modularity Score of Community Detection Using Memetic Algorithms” has been accepted at the AIMS mathematics!

• [2024. Mar] “Efficient Pruning of DenseNet via a Surrogate-Model-Assisted Genetic Algorithm” has been accepted at the GECCO 2024 poster session! I will attend GECCO 2024 as an online presenter.

• [2024. Jan] “Genetic Algorithm-based Pruning for Efficient DenseNet Architecture” has been accepted at the International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2024!

• [2023. Oct] “Battery Thermal Runaway Cell Detection Using DBSCAN and Statistical Validation Algorithms” has been accepted at The Journal of the Convergence on Culture Technology (In Korean; KCI)!

• [2023. Feb] “RNA Sequences-Based Diagnosis of Parkinson’s Disease Using Various Feature Selection Methods and Machine Learning” has been accepted at Applied Sciences!

• [2022. Mar] “Comparative Study of Classification Algorithms for Various DNA Microarray Data” has been accepted at Genes!