Name: Workshop for Korea-UK AI/ML Research in Fundamental Sciences
Start: 2022-10-31T09:00:00+09:00
End: 2022-11-04T17:00:00+09:00
Location: Sejong University, South Korea

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

from Monday 31 October 2022 (09:00) to Friday 4 November 2022 (17:00)

Monday 31 October 2022
10:00 Session 1
Session 1
10:00 - 11:20
Contributions

10:00 Registration

10:20 Introduction - Seyong Kim (PI, Sejong University)

10:30 Welcome message - Sungwook Baik (Vice President, Sejong U.)

10:45 Welcome message - Gareth Davies (Head of Science & Innovation Network, UK embassy/Korea)

11:00 AIMLAC CDT activity - Gert Aarts (Co-Pi, Swansea University)
11:30 Lunch
Lunch
11:30 - 13:30
13:30 Session 2
Session 2
13:30 - 16:15
Contributions

13:30 Modelling materials to improve safety of nuclear fuels and design the next generation of nuclear systems - Simon Middleburgh (Bangor University)

14:15 Solutions of HPC-AI for Hybrid Environment - Sangmoon LEE (ATOS KOREA)

14:45 Hypergames and Cybersecurity - Tonicha Crook (Swansea University)

15:15 Grammatical Neuroevolution - Ben Winter (Bangor University)

15:45 Research in industry - Tom Spriggs (Swansea University)
Tuesday 1 November 2022
10:30 Session 3
Session 3
10:30 - 12:00
Contributions

10:30 Deep learning based medical image standardization - Mingyu Kim (Promedius Inc.)

11:00 Exploring the growth progression of breast cancer using deep features - Cory Thomas (Aberystwyth university)

11:30 Novel Classes and Epistemic Uncertainty in Medical Imaging - Will Robinson (AIMLAC / Aberystwyth University)
12:00 Lunch
Lunch
12:00 - 14:00
14:00 Session 4
Session 4
14:00 - 16:20
Contributions

14:00 Regularized Knowledge Gradient: A No-regret Algorithm for Stochastic Gaussian Multi-armed Bandit Problems - Donghun Lee (Korea U.)

14:45 Automated optimisation of industrial X-ray computed tomography - Iwan Mitchell (AIMLAC)

15:15 Two approaches using Deep Learning to solve partial differential equations - Jaeyong Lee (KIAS)
Wednesday 2 November 2022
15:15 Session 5
Session 5
15:15 - 17:00
Contributions

15:15 Machine Learning for Invisible Particle Search - Young Ju Ko (IBS)

16:00 Dark Matter Searches: The latest result from the Large Hadron Collider and outlook - Maciej Glowacki (University of Bristol (AIMLAC))

16:30 The Automatic Particle Reconstruction with Machine Learning at e+e- Collider - Kyungho Kim (KISTI)
18:00 Banquet (after dinner, free to wander around in the museum except special exhibitions)
Banquet (after dinner, free to wander around in the museum except special exhibitions)
18:00 - 21:00
Thursday 3 November 2022
10:30 Session 6
Session 6
10:30 - 12:15
Contributions

10:30 Treasures of the deep: GW-observation of black hole-spin down at 5.5 sigma - Maurice van Putten (Sejong University)

11:15 Deep Image Segmentation of the Radio Sky - Hattie Stewart (University of Bristol)

11:45 Constraining Cosmology using Self-Attention - Se Yeon Hwang (U. of Seoul)
12:15 Lunch
Lunch
12:15 - 14:00
14:00 Session 7
Session 7
14:00 - 17:00
Contributions

14:00 Demystifying Gravitational Wavws: A Sweet of App utilities - Maryam Aghaei Abchouyeh (Sejong U./UNIST)

14:30 Precision physics with Antihydrogen - and how Machine Learning help - Niels Madsen (Swansea University)

15:15 A data-driven method for classifying gamma-rays and cosmic rays with the HAWC observatory - Baek Sun Cho (U. of Seoul)

15:50 ITS2 alignment : AI approach - Jaehyun Kim (Yonsei University)

16:20 Deep Learning for Low-Latency Detection of Unmodelled Gravitational-Wave Transients - Michael Norman (Cardiff University)
Friday 4 November 2022
10:00 Session 8
Session 8
10:00 - 12:15
Contributions

10:00 Machine learning for lattice field theory and back - Gert Aarts (Swansea University and ECT*)

10:45 Quantum Computing in Noisy Environment and Statistical Mechanics Model - Seyong Kim (Sejong University)

11:30 Overview of ML Activites in the Computing Physics Lab (CPLUOS) at the University of Seoul - Ian James Watson (U. of Seoul)
12:15 Lunch
Lunch
12:15 - 13:45