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Workshop for Korea-UK AI/ML Research in Fundamental Sciences

31 October 2022 to 4 November 2022
Sejong University, South Korea
Asia/Seoul timezone

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Contribution List

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  1. 2. Registration
    31/10/2022, 10:00
  2. 37. Introduction
    Seyong Kim (PI, Sejong University)
    31/10/2022, 10:20
  3. 3. Welcome message
    Sungwook Baik (Vice President, Sejong U.)
    31/10/2022, 10:30
  4. 31. Welcome message
    Gareth Davies (Head of Science & Innovation Network, UK embassy/Korea)
    31/10/2022, 10:45
  5. 4. AIMLAC CDT activity
    Gert Aarts (Co-Pi, Swansea University)
    31/10/2022, 11:00
  6. 32. Modelling materials to improve safety of nuclear fuels and design the next generation of nuclear systems
    Simon Middleburgh (Bangor University)
    31/10/2022, 13:30
  7. 7. Solutions of HPC-AI for Hybrid Environment
    Sangmoon LEE (ATOS KOREA)
    31/10/2022, 14:15
  8. 6. Hypergames and Cybersecurity
    Tonicha Crook (Swansea University)
    31/10/2022, 14:45
  9. 8. Grammatical Neuroevolution
    Ben Winter (Bangor University)
    31/10/2022, 15:15
  10. 9. Research in industry
    Tom Spriggs (Swansea University)
    31/10/2022, 15:45
  11. 11. Deep learning based medical image standardization
    Mingyu Kim (Promedius Inc.)
    01/11/2022, 10:30
  12. 10. Exploring the growth progression of breast cancer using deep features
    Cory Thomas (Aberystwyth university)
    01/11/2022, 11:00
  13. 12. Novel Classes and Epistemic Uncertainty in Medical Imaging
    Will Robinson (AIMLAC / Aberystwyth University)
    01/11/2022, 11:30
  14. 14. Regularized Knowledge Gradient: A No-regret Algorithm for Stochastic Gaussian Multi-armed Bandit Problems
    Donghun Lee (Korea U.)
    01/11/2022, 14:00
  15. 13. Automated optimisation of industrial X-ray computed tomography
    Iwan Mitchell (AIMLAC)
    01/11/2022, 14:45
  16. 16. Two approaches using Deep Learning to solve partial differential equations
    Jaeyong Lee (KIAS)
    01/11/2022, 15:15
  17. 18. Machine Learning for Invisible Particle Search
    Young Ju Ko (IBS)
    02/11/2022, 15:15
  18. 17. Dark Matter Searches: The latest result from the Large Hadron Collider and outlook
    Maciej Glowacki (University of Bristol (AIMLAC))
    02/11/2022, 16:00
  19. 19. The Automatic Particle Reconstruction with Machine Learning at e+e- Collider
    Kyungho Kim (KISTI)
    02/11/2022, 16:30
  20. 22. Treasures of the deep: GW-observation of black hole-spin down at 5.5 sigma
    Maurice van Putten (Sejong University)
    03/11/2022, 10:30
  21. 20. Deep Image Segmentation of the Radio Sky
    Hattie Stewart (University of Bristol)
    03/11/2022, 11:15
  22. 21. Constraining Cosmology using Self-Attention
    Se Yeon Hwang (U. of Seoul)
    03/11/2022, 11:45
  23. 25. Demystifying Gravitational Wavws: A Sweet of App utilities
    Maryam Aghaei Abchouyeh (Sejong U./UNIST)
    03/11/2022, 14:00
  24. 23. Precision physics with Antihydrogen - and how Machine Learning help
    Niels Madsen (Swansea University)
    03/11/2022, 14:30
  25. 24. A data-driven method for classifying gamma-rays and cosmic rays with the HAWC observatory
    Baek Sun Cho (U. of Seoul)
    03/11/2022, 15:15
  26. 26. ITS2 alignment : AI approach
    Jaehyun Kim (Yonsei University)
    03/11/2022, 15:50
  27. 39. Deep Learning for Low-Latency Detection of Unmodelled Gravitational-Wave Transients
    Michael Norman (Cardiff University)
    03/11/2022, 16:20
  28. 27. Machine learning for lattice field theory and back
    Gert Aarts (Swansea University and ECT*)
    04/11/2022, 10:00
  29. 28. Quantum Computing in Noisy Environment and Statistical Mechanics Model
    Seyong Kim (Sejong University)
    04/11/2022, 10:45
  30. 38. Overview of ML Activites in the Computing Physics Lab (CPLUOS) at the University of Seoul
    Ian James Watson (U. of Seoul)
    04/11/2022, 11:30