연구원

HIFI AI | 2022.07.11

✔︎ Ph.D. Students

양성민

관심 분야 Object Detection

응용통계학 석사

E-MAIL iamsheep1209@gmail.com

이용학

관심 분야 딥러닝을 활용한 이미지 처리, 이미지 및 텍스트 정보 기반 상품 추천 시스템

응용통계학 석사

E-MAIL feint225@gmail.com

✔︎ M.S. Students

오재훈

관심 분야 알고리즘을 이용한 주식 트레이딩 모델 연구

응용통계학 학사

E-MAIL bdong4721@gmail.com

김용래

관심 분야 Deep Learning & Face Liveness Detection

컴퓨터공학 학사

E-MAIL dayr1018@naver.com

문해준

관심 분야 Deep reinforcement learning

응용통계학과 학사

E-MAIL rebca@naver.com

김찬영

관심 분야 컴퓨터 비전

빅데이터학 학사

E-MAIL chanmob@konkuk.ac.kr

곽현민

관심 분야 Computer vision and semi-supervised learning

통계학 학사

E-MAIL datajobkhm@gmail.com

권희재

관심 분야 딥러닝을 이용한 데이터 분석

컴퓨터공학 학사

E-MAIL hjkwon93@kakao.com

✔︎ Alumni

임자연

학위 기간 중 논문 실적
[1] Han, S. W., Park, S., Zhong, H., Ryu, E. S., Wang, P., Jung, S., ... & Kim, S. (2021). Estimation of joint directed acyclic graphs with lasso family for gene networks. Communications in Statistics-Simulation and Computation, 50(9), 2793-2807.
[2] Lim, J., Bang, S., Kim, J., Park, C., Cho, J., & Kim, S. (2019). Integrative deep learning for identifying differentially expressed (DE) biomarkers. Computational and mathematical methods in medicine, 2019.
[3] Lim, J., Cho, J., Kim, J., Kim, J., & Kim, S. (2019). Deeper Integrative Neural Network Analysis for Multi-level Omics Data. Quantitative Bio-Science, 38(2), 73-79.

현직장 Hutom, Data Scientist

한지성

학위 기간 중 논문 실적
[1] Han, J.*, Jo, K., Lim, W., Lee, Y., Ko, K., Sim, E., ... & Kim, S. (2021). Reinforcement learning guided by double replay memory. Journal of Sensors, 2021, 1-8.
[2] Han, J.*, Kim, G., Lee, C., Han, Y., Hwang, U., & Kim, S. (2019, February). Predictive models of fire via deep learning exploiting colorific variation. In 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) (pp. 579-581). IEEE.
[3] Kim, S., Jung, S., Yang, S., Han, J.*, Lee, B., Lee, J., & Han, S. W. (2019). Vision-based deep Q-learning network models to predict particulate matter concentration levels using temporal digital image data. Journal of Sensors, 2019.

현직장 Medipixel, AI Developer

정세희

학위 기간 중 논문 실적
[1] Han, S. W., Park, S., Zhong, H., Ryu, E. S., Wang, P., Jung, S., ... & Kim, S. (2021). Estimation of joint directed acyclic graphs with lasso family for gene networks. Communications in Statistics-Simulation and Computation, 50(9), 2793-2807.
[2] Jung, S., Yang, S., Lee, E., Lee, Y., Ko, J., Lee, S., ... & Kim, S. (2020). Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior. Journal of Sensors, 2020, 1-9.
[3] Kim, S., Heo, S. M., Yang, S., Kim, Y., Han, J., & Jung, S. (2020). Instance Segmentation Guided by Weight Map with Application to Tooth Boundary Detection. Quantitative Bio-Science, 39(2), 159-167.
[4] Min, J. H., Jung, S. J., Jung, S. H., Yang, S., Cho, J. S., & Kim, S. H. (2020). Grammatical error correction models for Korean language via pre-trained denoising. Quantitative Bio-Science, 39(1), 17-24.
[5] Kim, S., Jung, S., Yang, S., Han, J., Lee, B., Lee, J., & Han, S. W. (2019). Vision-based deep Q-learning network models to predict particulate matter concentration levels using temporal digital image data. Journal of Sensors, 2019.

현직장 Ph.D. Student, Industrial and Systems Engineering, NC State University

고경민

학위 기간 중 논문 실적
[1] Ko, K., Kim, S., & Kwon, H. (2023). Multi-targeted audio adversarial example for use against speech recognition systems. Computers & Security, 128, 103168.
[2] Kwon, H., Ko, K., & Kim, S. (2021). Optimized adversarial example with classification score pattern vulnerability removed. IEEE Access, 10, 35804-35813.
[3] Ko, K., Gwak, H., Lee, E., Kim, G., Moon, D., Cho, Y., & Kim, S. (2021). Action Recognition Model to Monitor Illegal Dumping using Zoom-In Image Sequence Data. Quantitative Bio-Science, 40(2), 95-102.
[4] Ko, K., Gwak, H., Thoummala, N., Kwon, H., & Kim, S. (2021). SqueezeFace: Integrative face recognition methods with LiDAR sensors. Journal of Sensors, 2021, 1-8.
[5] Suh, S., Park, Y., Ko, K., Yang, S., Ahn, J., Shin, J. K., & Kim, S. (2021). Weighted mask R-CNN for improving adjacent boundary segmentation. Journal of Sensors, 2021, 1-8.

현직장 EY Consulting, Data Scientist

김성근

학위 기간 중 논문 실적
[1] Kim, S., Moon, H., Oh, J., Lee, Y., Kwon, H., & Kim, S. (2022). Automatic Measurements of Garment Sizes Using Computer Vision Deep Learning Models and Point Cloud Data. Applied Sciences, 12(10), 5286.

현직장 LG CNS, Data Scientist

김용래

학위 기간 중 논문 실적
[1] Kim, Y., Gwak, H., Oh, J., Kang, M., Kim, J., Kwon, H., & Kim, S. (2023). CloudNet: A LiDAR-based face anti-spoofing model that is robust against light variation. IEEE Access, 11, 16984-16993.

현직장 KEPCO Nuclear Fuel, Researcher

양성민

학위 기간 중 논문 실적
[1] Oh, J., Lingnan, P., Lee, Y., Yang, S., & Kim, S. (2022). An Investment Model Based on a Head-And-Shoulder Pattern with Multiple Moving Average Technical Indicators for Future Markets. Quantitative Bio-Science, 41(2), 107-115.
[2] Suh, S., Park, Y., Ko, K., Yang, S., Ahn, J., Shin, J. K., & Kim, S. (2021). Weighted mask R-CNN for improving adjacent boundary segmentation. Journal of Sensors, 2021, 1-8.
[3] Kim, S., Heo, S. M., Yang, S., Kim, Y., Han, J., & Jung, S. (2020). Instance Segmentation Guided by Weight Map with Application to Tooth Boundary Detection. Quantitative Bio-Science, 39(2), 159-167.
[4] Min, J. H., Jung, S. J., Jung, S. H., Yang, S., Cho, J. S., & Kim, S. H. (2020). Grammatical error correction models for Korean language via pre-trained denoising. Quantitative Bio-Science, 39(1), 17-24.
[5] Kim, S., Jung, S., Yang, S., Han, J., Lee, B., Lee, J., & Han, S. W. (2019). Vision-based deep Q-learning network models to predict particulate matter concentration levels using temporal digital image data. Journal of Sensors, 2019.

현직장 Ph.D. Student, Applied Statistics, Konkuk University

이용학

학위 기간 중 논문 실적
[1] Lee, Y., Oh, J., Yang, S., & Kim, S. (2022). Integrated Analytic Methodology Using Visual Image and Meta-Data for Product Recommendation. Quantitative Bio-Science, 41(1), 27-35.
[2] Kim, S., Moon, H., Oh, J., Lee, Y., Kwon, H., & Kim, S. (2022). Automatic Measurements of Garment Sizes Using Computer Vision Deep Learning Models and Point Cloud Data. Applied Sciences, 12(10), 5286.
[3] Oh, J., Lingnan, P., Lee, Y., Yang, S., & Kim, S. (2022). An Investment Model Based on a Head-And-Shoulder Pattern with Multiple Moving Average Technical Indicators for Future Markets. Quantitative Bio-Science, 41(2), 107-115.
[4] Jung, S., Yang, S., Lee, E., Lee, Y., Ko, J., Lee, S., ... & Kim, S. (2020). Estimation of Particulate Levels Using Deep Dehazing Network and Temporal Prior. Journal of Sensors, 2020, 1-9.

현직장 Ph.D. Student, Applied Statistics, Konkuk University