Mrs. Nannan Zhang | Object Detection | Research Excellence Award

Mrs. Nannan Zhang | Object Detection | Research Excellence Award 

Mrs. Nannan Zhang | Object Detection | Research Institute of Petroleum Exploration & Development | China

Mrs. Nannan Zhang Senior Engineer is a highly respected specialist in petroleum remote sensing and geospatial environmental monitoring, recognized for her sustained contributions to the application of advanced sensing technologies in oil and gas exploration and ecological protection. She received her formal academic training in Cartography and Geographic Information Systems from Hohai University, Nanjing, China, which laid a strong foundation for her technical expertise in spatial analysis, satellite data interpretation, and environmental modeling. Professionally, Mrs.  Nannan Zhang Senior Engineer is affiliated with the Research Institute of Petroleum Exploration and Development, PetroChina, Beijing, China, where she has established herself as a leading researcher and project leader in petroleum-related remote sensing. Nannan Zhang Senior Engineer has produced a strong body of scholarly work indexed in Scopus, comprising 12 peer-reviewed publications with significant academic influence reflected by more than 300 citations and an h-index of 5, alongside five authorized patents and one academic monograph.

Citation Metrics (Scopus)

400

300

200

100

0

Citations
304

Documents
12

h-index
5

Citations
Documents
h-index

View Scopus Profile

Featured Publications

Dr. Yongho Jeong | Computer vision | Best Researcher Award

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 ResearcherKonKuk University (KU), Seoul, Korea (2024.09 – Present)

    • Integrated Analytical Models and Advanced Strategies for 3D Point Cloud Data Analysis
  • Postdoctoral ResearcherUniversity 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 DevelopmentMustree Company, Seoul, Korea (2023.07 – 2023.10)

    • Developed AI Software for Size Measurement
  • Postdoctoral ResearcherKorea 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 PhysicsKorea 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 PhysicsSungkyunkwan 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 PhysicsUniversity 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