 |
고정환 Junghwan Goh |
|
|
경희대학교 물리학과 부교수 CERN LHC/CMS 실험 RPC-DPG 코디네이터 데이터 분석 & 소프트웨어 개발 |
Associate Professor at Dept. Physics, Kyung Hee Univ. CERN LHC/CMS experiment RPC-DPG Coordinator Data analysis & Software development |
|
http://github.com/jhgoh
jhgoh@cern.chResearch Interests
- Top quark precision measurement at hadron colliders
- Deep Learning based particle reconstruction algorithms
- Muon detector performance measurement at CMS experiment
- CMS Muon detector upgrade
- Search for Sterile Neutrinos at JSNS2 experiment
- Grid computing
Experiences
| 2022-present | Associate Professor at Kyung Hee University |
| 2018-2022 | Assistant Professor at Kyung Hee University |
| 2021-present | JSNS2 speakers committee, J-PARC |
| 2017-2018 | Research Professor at Hanyang University |
| 2017-present | CMS RPC Detector Performance Group coordinator, CERN/LHC |
| 2017-2017 | CMS RPC Upgrade coordinator (deputy), CERN/LHC |
| 2014-2017 | Postdoc at SungKyunKwan University |
| 2016-2021 | CMS RPC DPG RECO contact person |
| 2015-2021 | CMS RPC DPG Software Coordinator |
| 2014-2017 | CMS Muon Physics Object Group Software Coordinator & RECO contact person |
| 2014-2017 | CMS TOPLHCWG pseudo-top contact person |
| 2007-2014 | Ph.D Physics at SungKyunKwan University |
| 2005-2007 | M.S, Physics at SungKyunKwan University |
| 2001-2005 | B.A, Astronomy and Physics at Yonsei University |
Conference Organization, School Facilitators and Outleach
- 2023 NuFact2023, Local Organizing Committee
- 2023 PPC2023, Local Organizing Committee
- 2022 Neutrino2022, Local Organizing Committee
- 2021 ACAT2021, Local Organizing Committee & Scientific Programme Committee/Track convenor
- 2023: Machine Learning for Particle Physics (Lecturer), KIAS Summer Camp, KIAS, Korea
- 2022: Accelerator based particle physics (Lecturer), KIAS Summer Camp, KIAS, Korea
- 2021: Deep Learning (Lecturer), 2nd CANU Neutrino School, Chung-Ang Univ., Korea
- 2018: RPC trigger algorithm development for HSCP search (Project Supervisor), CERN Summer School, CERN, Switzerland
- 2018: Deep Learning Basics (Lecturer), 2nd deep neural network workshop, Univ. of Seoul, Korea
- 2016: Short exercise:muon & Long exercise: Top quark mass measurement (Lecturer), CMS Data Analysis School at Asia (CMSDASia), NTU, Taiwan
- 2015: Short exercise:muon & Long exercise: Top1 (Lecturer), CMS Data Analysis School at Asia (CMSDASia), KNU, Korea
- 2015: Trigger information in the PAT (Lecturer), CMS Physics Analysis Toolkit (PAT) Tutorial, CERN, Switzerland
- 2014: PF2PAT and Matching (Tutor), CMS Physics Analysis Toolkit (PAT) Tutorial, CERN, Switzerland
- 2016: On-site CMS Guide, CMS Virtual Visit from Korea, Hanyang University
Research fundings
- 2022.06-, 중성미자 정밀 연구센터, 공동연구자, 한국연구재단 선도연구센터 SRC (주관기관: 전남대학교)
- 2022.05-, 유럽핵입자물리연구소의 대형강입자가속기를 이용한 CMS실험 (6단계), 공동연구자, 한국연구재단 기초연구기반구축사업 (주관기관: 한양대학교)
- 2021.09-2024.08, 지속가능 빅데이터 신산업 선도인력 교육연구단, 참여교수, 한국연구재단 4단계 BK21사업
- 2020.06-2023.06, 머신러닝을 이용한 비활성 중성미자 탐색, 세부과제 연구책임자, 한국연구재단 해외대형연구시설 활용연구지원사업
- 2020.03-2023.06, 딥러닝 기반 중성미자를 포함하는 사건 재구성, 연구책임자, 한국연구재단 신진연구자지원사업
- 2019.04-2019.11, 거대 규모 딥러닝 기반 LHC가속기에서 탑쿼크 희소과정 탐색 연구, 위탁과제 연구책임자, KISTI
- 2019.03-2022.02, 유럽핵입자물리연구소의 대형강입자가속기를 이용한 CMS실험 (5단계), 공동연구자, 한국연구재단 기초연구기반구축사업 (주관기관: 서울대학교)
- 2018.05-2020.02, 기계 학습 방법을 이용한 탑 쿼크 재구성, 연구책임자, 경희대학교 신진연구
- 2017.03-2018.02, 양성자 충돌 실험에서 무거운 하전 입자의 탐색, 연구책임자, 한국연구재단 학문후속세대양성사업 리서치펠로우
Skills
- Linux based cluster administration - PBS, Condor, kubernetes
- Programming language - C/C++, python, bash scripting, Fortran, HTML, Javascript, PHP
- Analysis software - CMS-software, ROOT, RooFit framework, Pytorch, TMVA machnie learning, CMS Grid computing
- Detector simulation - Silvaco TCAD silicon device simulation, GEANT4 detector simulation