Yunho Jeong

Biomedical AI Research Student

3 minute read

Hi there!

I’m Yunho and here’s my CV

image

Personal Information

  • Integrated MS&Ph.D Candidate in Daegu Gyeongbuk Institute of Science and Technology (333, Techno jungang-daero, Hyeonpung-eup, Dalseong-gun, Daegu, Republic of Korea)
  • Email: wjddbsgh4152@dgist.ac.kr & madilyuno@gmail.com

Education

  • [Feb. 2020 ~ Feb.2024] Bachelor of Science, in School of Undergraduate Studies, Deagu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea
  • [Feb. 2024 ~ Present] Integrated MS&Ph.D Candidate, in Department of The Interdisciplinary Studies of Artificial Intelligence, Deagu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, Korea

Research Interests

  • RF Signal Processing
  • Vision-Language Model
  • V2X Cooperative Perception
  • Domain Adaptation & Generalization

Research Experiences

Visual Intelligence Lab, University of Virginia, United States (Jun. 2023 ~ Aug. 2023)/Research Intern

Communication and Signal Processing Lab, Daegu Gyeongbuk Institute of Science and Technology, Korea (Jun. 2022 ~ May. 2023) / Undergraduate Researcher

Medical Image & Signal Processing Lab, Daegu Gyeongbuk Institute of Science and Technology, Korea (Jun. 2021 ~ Aug. 2021) / Undergraduate Researcher

Autonomous Driving R&D Team, Sonnet AI, Korea (Dec. 2021 ~ Feb. 2022) / Research Intern

Publications

International

  1. S. Kang, J. Park, Y. Jeong, Y. -S. Oh, and J. -W. Choi, “Second Derivative-Based Background Drift Removal for Tonic Dopamine Measurement in Fast-Scan Cyclic Voltammetry,” Analytical Chemistry, vol. 94, no. 33, pp. 11459-11463, August. 2022, doi: https://pubs.acs.org/doi/10.1021/acs.analchem.2c01047
  2. S. Kang, Y. Jeong, J. -W. Choi, “Simultaneous estimation of tonic dopamine and serotonin with high temporal resolution in vitro using deep learning,” 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023), Sydney, Australia, July 24-28, 2023 (Full contributed paper)
  3. Y. Jeong†, C.Moon†, J. -W. Choi,“Efficient Biomedical Time-series Contrastive Learning: Revisiting Taylor Expansion in Loss Optimization,” 16th International Conference on Information and Communication Technology Convergence (ICTC 2025), Oct. 2025.
  4. E. Kim†, Y. Jeong†, S. Kim, J. -W Choi, S. Kim, H. -J. Kim, “Resilient FSCV decoding algorithm: Domain Adaptation for Neurotransmitter Concentration Estimation for a Preclinical Study”, Under Review.

Domestic

  1. 김은호, 정윤호, 최지웅, “딥러닝을 활용한 고속스캔순환전압전류법(FSCV)에서의 다중 신경전달물질 농도 추정의 정확성 및 강건성 평가”, Joint Conference on Communications and Information(JCCI), Apr. 24-26, 2024
  2. 정윤호, 김은호, 최지웅, “도메인 전이를 이용한 고속스캔순환전압전류법(FSCV) 기반 신경전달물질 농도 추정 모델”, KICS Summer Conference, Jun. 19-22, 2024

Patents

Filed Patents (U.S.)

  1. J. -W. Choi, S. Kang, Y. -S. Oh, J. Park, Y. Jeong, “NEUROTRANSMITTER CONCENTRATION MEASURING APPARATUS FOR PROVIDING SECOND DERIVATIVE-BASED NEUROTRANSMITTER CONCENTRATION MEASUREMENT RESULT OF FAST-SCAN CYCLIC VOLTAMMETRY DATA AND METHOD THEREOF,” U.S. patent application filed (18/120,771), March. 13, 2023.
  2. J. -W. Choi, S. Kang, Y. Jeong, E. Kim, “NEUROTRANSMITTER CONCENTRATION MEASURING APPARATUS FOR SIMULTANEOUSLY PROVIDING LONG TIME MEASURING RESULTS OF CONCENTRATION FOR VARIOUS NEUROTRANSMITTER BASED ON FAST-SCAN CYCLIC VOLTAMMETRY AND METHOD THEREOF”, U.S. patent application filed (18/594,719), March, 4, 2024.

Filed Patents (Korea and PCT)

  1. 최지웅, 강성탁, 정윤호, “FSCV 기반 여러 신경전달물질의 장시간 농도 측정 결과를 동시에 제공하는 딥러닝 방식의 신경전달물질 농도 측정 장치 및 방법 (Neurotransmitter concentration measuring apparatus for simultaneously providing long time measuring results of concentration for various neurotransmitter based on fast-scan cyclic voltammetry and method thereof),” (10-2023-0028397), March. 3, 2023.
  2. 최지웅, 강성탁, 오용석, 박정락, 정윤호, “FSCV 데이터의 이차미분기반 신경전달물질의 농도 측정 결과를 제공하는 신경전달물질 농도 측정 장치 및 방법 (Neurotransmitter concentration measuring apparatus for providing measuring result of neurotransmitter concentration based on second derivative in fast-scan cyclic voltammetry and method thereof),” (10-2022-0059880), May, 17, 2022.

Projects

Research on Integrated Algorithm for Autonomous Driving Platform, Daegu Gyeongbuk Institute

of Science and Technology, Korea / Computer Vision Developer and Vision Team Leader (Feb. 2022 ~ Dec. 2022)

Estimation of Dopamine Concentraion in FSCV Signal, Daegu Gyeongbuk Institute of Science and Technology, Korea / FSCV Data processing and Deep Learning Developer (Aug. 2021 ~ Dec. 2021)

Startup Project with Personalized Nutrition Salad, Ministry of SMEs and Startups, Korea / Co- Founder (Jun. 2021 ~ Dec. 2021)

Awards and Honors

Startup support, Ministry of SMEs and Startups, Korea (Sep. 2021)

Skills and Techniques

Language and Frameworks: Python, C, C++, Pytorch

Technologies: Deep Learning, Machine Learning, Computer Vision, Sequence Processing, ROS, Linux

Leave a comment

You may also enjoy