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

Contribution List

2. Registration

31/10/2022, 10:00

Session 1

37. Introduction

Seyong Kim (PI, Sejong University)

31/10/2022, 10:20

Session 1

3. Welcome message

Sungwook Baik (Vice President, Sejong U.)

31/10/2022, 10:30

Session 1

31. Welcome message

Gareth Davies (Head of Science & Innovation Network, UK embassy/Korea)

31/10/2022, 10:45

Session 1

4. AIMLAC CDT activity

Gert Aarts (Co-Pi, Swansea University)

31/10/2022, 11:00

Session 1

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

Session 2

7. Solutions of HPC-AI for Hybrid Environment

Sangmoon LEE (ATOS KOREA)

31/10/2022, 14:15

Session 2

6. Hypergames and Cybersecurity

Tonicha Crook (Swansea University)

31/10/2022, 14:45

Session 2

8. Grammatical Neuroevolution

Ben Winter (Bangor University)

31/10/2022, 15:15

Session 2

9. Research in industry

Tom Spriggs (Swansea University)

31/10/2022, 15:45

Session 2

11. Deep learning based medical image standardization

Mingyu Kim (Promedius Inc.)

01/11/2022, 10:30

Session 3

10. Exploring the growth progression of breast cancer using deep features

Cory Thomas (Aberystwyth university)

01/11/2022, 11:00

Session 3

12. Novel Classes and Epistemic Uncertainty in Medical Imaging

Will Robinson (AIMLAC / Aberystwyth University)

01/11/2022, 11:30

Session 3

14. Regularized Knowledge Gradient: A No-regret Algorithm for Stochastic Gaussian Multi-armed Bandit Problems

Donghun Lee (Korea U.)

01/11/2022, 14:00

Session 4

13. Automated optimisation of industrial X-ray computed tomography

Iwan Mitchell (AIMLAC)

01/11/2022, 14:45

Session 4

16. Two approaches using Deep Learning to solve partial differential equations

Jaeyong Lee (KIAS)

01/11/2022, 15:15

Session 4

18. Machine Learning for Invisible Particle Search

Young Ju Ko (IBS)

02/11/2022, 15:15

Session 5

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

Session 5

19. The Automatic Particle Reconstruction with Machine Learning at e+e- Collider

Kyungho Kim (KISTI)

02/11/2022, 16:30

Session 5

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

Session 6

20. Deep Image Segmentation of the Radio Sky

Hattie Stewart (University of Bristol)

03/11/2022, 11:15

Session 6

21. Constraining Cosmology using Self-Attention

Se Yeon Hwang (U. of Seoul)

03/11/2022, 11:45

Session 6

25. Demystifying Gravitational Wavws: A Sweet of App utilities

Maryam Aghaei Abchouyeh (Sejong U./UNIST)

03/11/2022, 14:00

Session 7

23. Precision physics with Antihydrogen - and how Machine Learning help

Niels Madsen (Swansea University)

03/11/2022, 14:30

Session 7

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

Session 7

26. ITS2 alignment : AI approach

Jaehyun Kim (Yonsei University)

03/11/2022, 15:50

Session 7

39. Deep Learning for Low-Latency Detection of Unmodelled Gravitational-Wave Transients

Michael Norman (Cardiff University)

03/11/2022, 16:20

Session 7

27. Machine learning for lattice field theory and back

Gert Aarts (Swansea University and ECT*)

04/11/2022, 10:00

Session 8

28. Quantum Computing in Noisy Environment and Statistical Mechanics Model

Seyong Kim (Sejong University)

04/11/2022, 10:45

Session 8

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

Session 8