교수소개

조교수

우현명
직책/직급
조교수
주전공
Deep Learning, Optimal Experimental Design, Uncertainty Quantification, Bayesian Methods
담당과목
Deep Learning, Random Process, Digital Signal Processing, Image Processing, Electromagnetics
전화번호
032-835-8684
이메일
hmwoo@inu.ac.kr
홈페이지
https://alexpecial.github.io/
학력

TEXAS A&M University  (박사)

연세대학교  (석사)

연세대학교(원주캠퍼스)  (학사)

경력

2022.09 ~ 2023.02 Brookhaven National Laboratory (Research Associate)

2016.09 ~ 2017.03 엘지전자 (LG Electronics) (전임연구원)

2014.03 ~ 2014.06 연세대학교 미래 캠퍼스 (시간강사)

2010.01 ~ 2014.04 아이디스 (IDIS) (전임연구원)

연구실적
<논문> 

Complementary strategies in pancreatic cancer precision medicine: therapeutic prediction and immune modulation, FRONTIERS IN ONCOLOGY , 제15권(집) , 2025.12.03

PixelCut: A Unified Solution for Zero-Configuration 16S rRNA Trimming via Computer Vision, CURRENT ISSUES IN MOLECULAR BIOLOGY , 제47권(집) , 제12호 , 2025.11.21

Effect of Mechanical Environment Alterations in 3D Stem Cell Culture on the Therapeutic Potential of Extracellular Vesicles, BIOMATERIALS RESEARCH , 제29권(집) , 2025.05.23

Optimal decision-making in high-throughput virtual screening pipelines, Patterns , 제4권(집) , 제11호 , 2023.11.10

Neural message-passing for objective-based uncertainty quantification and optimal experimental design, ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE , 제123권(집) , 2023.08.01

Optimal high-throughput virtual screening pipeline for efficient selection of redox-active organic materials, iScience , 제26권(집) , 제1호 , 2023.01.20

AI-enabled, implantable, multichannel wireless telemetry for photodynamic therapy, Nature Communications , 제13권(집) , 제1호 , 2022.04.21

Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning, IEEE TRANSACTIONS ON SIGNAL PROCESSING , 제69권(집) , PP.6473~6487 , 2021.11.26

MONACO: accurate biological network alignment through optimal neighborhood matching between focal nodes, BIOINFORMATICS , 제37권(집) , 제10호 , PP.1401~1410 , 2021.05.15

NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families, PLoS One , 제15권(집) , 제1호 , 2020.01.27