Dr. Yongho Jeong | Computer vision | Best Researcher Award

Dr. Yongho Jeong, Konkuk University, South Korea

Dr. Yongho Jeong is a physicist specializing in experimental particle physics, high-energy physics, and AI-driven data analysis. He earned his Ph.D. in Physics from Sungkyunkwan University, Korea, in 2022 under the supervision of Prof. YongIl Choi, focusing on the search for R-parity violating supersymmetry in proton-proton collisions at √s = 13 TeV using the CMS detector. He completed his B.S. in Physics from Soonchunhyang University in 2013. Dr. Jeong has held multiple postdoctoral positions, including at the University of Seoul, where he worked on Gas Electron Multiplier (GEM) detector aging tests, and at the Korea Astronomy and Space Science Institute (KASI), where he contributed to quantum noise reduction for future gravitational wave detectors. He has also been involved in AI software development at Mustree Company and is set to join Konkuk University as a postdoctoral researcher in 2024, focusing on 3D point cloud data analysis. His extensive research experience includes collaborations with CERN on the GEM Detector Upgrade Project for the CMS experiment, where he worked on quality control, chamber assembly, and detector performance studies. His expertise spans detector development, high-energy physics simulations, data analysis for supersymmetry searches, and advanced AI applications in physics.

Professional Profile:

ORCID

Summary of Suitability for Community Impact Award

Dr. Yongho Jeong is a highly deserving candidate for the Community Impact Award, given his significant contributions to experimental particle physics, AI-driven technological advancements, and quantum noise reduction for future scientific applications. His extensive research collaborations, contributions to international projects, and involvement in technology-driven community advancements make him a strong nominee for this award.

📚 Education

Ph.D. in Physics (2014.09 – 2022.02) – Sungkyunkwan University, Suwon, Korea
- Supervisor: YongIl Choi
- Thesis: Search for R-parity violating supersymmetry in pp collisions at √s = 13 TeV in the CMS detector
B.S. in Physics (2007.03 – 2013.02) – Soonchunhyang University, Asan, Korea
- Thesis: The Age of the Universe

💼 Work Experience

Postdoctoral Researcher – KonKuk University (KU), Seoul, Korea (2024.09 – Present)
- Integrated Analytical Models and Advanced Strategies for 3D Point Cloud Data Analysis
Postdoctoral Researcher – University of Seoul (UOS), Seoul, Korea (2023.11 – 2024.08)
- Gas Electron Multiplier (GEM) Detector Aging Test
- Production of GEM Detector Foil for the Rare Isotope Accelerator Complex (RAON) Laboratory
Technology Team – AI Software Development – Mustree Company, Seoul, Korea (2023.07 – 2023.10)
- Developed AI Software for Size Measurement
Postdoctoral Researcher – Korea Astronomy and Space Science Institute (KASI), Daejeon, Korea (2022.05 – 2023.07)
- Quantum Noise Reduction Technology for Future Gravitational Wave Detectors
- Development of a 2 µm Laser Squeeze System
Ph.D. Researcher – High Energy Physics – Korea University, Seoul, Korea (2020.01 – 2022.04)
- Data Analysis for Supersymmetric Particles
- Search for R-parity Violating Supersymmetry in Proton-Proton Collisions at √s = 13 TeV
Ph.D. Researcher – GEM Detector Upgrade Project (Phase II) – CERN, Geneva, Switzerland (2018.01 – 2019.12)
- Quality Control (QC) of GEM Chambers in the CMS Experiment
- QC2: Leakage Current Test
- QC3: Gas Leak Test
- QC4: High Voltage Test
- GEM Chamber Assembly, Aging Tests & Discharge Probability Studies
Ph.D. Researcher – Experimental Particle Physics – Sungkyunkwan University, Suwon, Korea (2017.06 – 2018.02)
- Data Analysis for tt̄ Inclusive Decay
- Measurement of the Inclusive Top Quark Cross Section in Di-lepton Channels at √s = 13 TeV
Ph.D. Researcher – Experimental Particle Physics – University of Seoul, Seoul, Korea (2016.01 – 2017.06)
- CMS Detector Simulation for Phase II Upgrade
- Muon Isolation Optimization Simulation

🏆 Achievements & Contributions

✅ Authored numerous research papers in High-Energy Physics & Detector Technology
✅ Significant contributions to CMS Detector R&D at CERN
✅ Advanced AI-based measurement software for industry applications
✅ Developed quantum noise reduction techniques for future gravitational wave detectors

🎖️ Awards & Honors

🏅 Recognized Researcher in Particle Physics for contributions to Supersymmetry & CMS Experiments
🏅 Recipient of CERN Research Fellowships for GEM Detector Upgrade & Testing
🏅 Awarded Postdoctoral Research Positions in Multiple Leading Korean Institutions
🏅 Contributor to the CMS Collaboration at the European Organization for Nuclear Research (CERN)

Publication Top Notes:

A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement

A Multi-View Integrated Ensemble for the Background Discrimination of Semi-Supervised Semantic Segmentation

Ms. Hyunseo Kim, Konkuk University, South Korea

Hyunseo Kim is an ambitious student pursuing dual degrees in Biomedical Science and Engineering and Computer Science and Engineering at Konkuk University in Seoul, South Korea. With a strong focus on applying artificial intelligence techniques to the medical domain, he is currently engaged in research at the AI & CV Lab, where he works on projects involving computer vision and audio data for medical applications, including MRI data analysis and hearing loss classification. Hyunseo’s passion for healthcare technology led him to participate in various competitions, winning first place in a medical hackathon for developing a drug side effect management program and third place in a software convergence competition for creating a DNA editing application. Fluent in Korean and proficient in English and Chinese, he is well-equipped for interdisciplinary collaboration. As he approaches graduation, Hyunseo is eager to leverage his skills in AI and programming to contribute to advancements in healthcare and improve the quality of life for individuals.

Work Experience 💻

AI & CV Lab (June 2022 – Present)

Conducting projects on MRI data, including tasks for lacunar detection, Enlarged Perivascular Spaces (EPVS) detection, and microbleed detection.
Engaged in audio data projects, including a study on hearing loss classification and participating in the ADRESSM Challenge, where the team won first place in Alzheimer’s Disease classification tasks.

Achievements 🏆

1st Place in Medical Hackathon (March 2022 – September 2022)

Developed a drug side effect management program in collaboration with school seniors, focusing on patient medication tracking and side effect reporting.

3rd Place in SW Convergence Competition (August 2022 – November 2022)

Created a DNA editing program in partnership with a senior, enhancing the efficiency of DNA sequence editing compared to existing programs.

2nd Place in Big Data Analysis Competition (November 2022)

Participated in a competition organized by CJ Enterprises, focusing on exploratory data analysis (EDA) of corporate financial statements.