Research Interests:

• Breast cancer diagnosis using CT, nipple projection movie, projection image with axial levels, axial level 494, axial level 912 

• Alignment theory: Motion artifact correction, Nano projection videos , Micro projection videos , Tooth with artifacts video , Tooth with removed artifacts video 

• Backprojection algorithm: CT image reconstruction, Reconstruction video 

• Quantum computing: Linear system, Circuit depth reduction, Eigenvalue problem, Qubit connectivity, QAOA, Range division algorithm

• Scientific computing: CNN & QCNN, Optimization 

• Image analysis based on CT images: Segmentation, Ring artifact correction, Medial axis algorithm, Throat finding algorithm

Computer skills:

• C/C++

• Matlab

• Python

Employment:

• Mar. 2023 – Present, Senior scientist 

       German Engineering Research and Development Center, LSTME Busan Branch

• Sep.2022 – Jan.2023, Lecturer, Postdoc 

       Ewha Women University

• Oct. 2021 – Aug.2022, CEO 

       Innovation on Quantum and Computed Tomography

• Aug. 2020 – Oct. 2021, Postdoc

National Institute for Mathematical Sciences 

• June 2015 – Oct. 2019, CEO & CTO 

Research center, IM Technology

Education:

• Stony Brook University, Oct. 2019 – May 2020 

Ph. D. Computational applied mathematics 

• Stony Brook University, Sep. 2007 – Aug. 2014 

Ph.M. Computational applied mathematics 

• Chung-Ang University, Mar. 1996 – Feb. 2000 

B.E. Mathematics and Physics, Mechanical Engineering (minor)

Publications:

1. Jun, K. QUBO formulations for a system of linear equations. Results in Control and Optimization (2024)

2. Jun, K. A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns, Scientific Reports, 13, 14407 (2023)

3. Jun, K. & Lee, H. HUBO and QUBO models for prime factorization, Scientific Reports, 13, 10080 (2023)

4. Jun, K. & Lee, H. HUBO formulations for solving the eigenvalue problem, Results in Control and Optimization, 100222 (2023)

5. Yoon, S. et al. Correction of Movement Error in Parallel-beam CT for Dental Implantology . IMPLANTOLOGY. June 51-61 (2020)

6. Jun, K. Virtual multi-alignment theory of parallel-beam CT image reconstruction for rigid objects. Sci. Rep. 9, 13518 (2019)

7. Jun, K. & Jung, J. Virtual multi-alignment theory of parallel-beam CT image reconstruction for elastic objects. Sci. Rep. 9, 6847 (2019)

8. Jun, K. & Kim, D.Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method . PLoS ONE 13(6), e0198259 (2018)

9. Jun, K. & Yoon, S. Alignment Solution for CT Image Reconstruction using Fixed Point and Virtual Rotation Axis. Sci. Rep. 7, 41218 (2017)

Proceedings:

1. Lee,H., et al. Quantum computing for the optimization of  CT image reconstruction . (Accepted) 2022 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (2022) 

2. Lee, H., Noh, S., and Jun, K. Effective QUBO modeling for solving linear systems on D-Wave quantum annealing device. Quantum Information Science, Sensing, and Computation XIV (2022) 

3. Park, S.W, et al. On the application of matrix congruence to QUBO formulations for systems of linear equations. 2021 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (2021) 

4. Park, S.W., et al. Circuit depth reduction algorithm for QUBO and Ising models in gate-model quantum computers. 2021 International Conference on Information and Communication Technology Convergence (ICTC). IEEE (2021)

5. Lee, H., et al. Quantum convolutional neural networks on NISQ processors. Quantum Communications and Quantum Imaging XIX. Vol. 11835. International Society for Optics and Photonics (2021)

6. Jun, K., et al. Solving linear systems by quadratic unconstrained binary optimization on D-Wave quantum annealing device. Quantum Information Science, Sensing, and Computation XIII. Vol. 11726. International Society for Optics and Photonics (2021)

Preprints: 

1. Noise-resistant reconstruction algorithm based on the sinogram pattern

2. On the application of Sylvester’s law of inertia to QUBO formulations for systems of linear equations 

3. Range dependent Hamiltonian algorithm for numerical QUBO formulation 

4. Alignment Methods and Analysis of Tilt Angle Range for the Data Scanned in Electron Tomography 

5. Virtual alignment method for motion error correction of CT images applicable to dentistry

6. Necessity of the virtual multi-alignment method for dynamic tomographic reconstruction