Deep Learning for Physics - DELPHYS 2025

Asia/Bangkok
Caribbean (Naval Sea Power Center (ศูนย์สมุททานุภาพ กองทัพเรือ))

Caribbean

Naval Sea Power Center (ศูนย์สมุททานุภาพ กองทัพเรือ)

Bang Phra, Si Racha District, Chon Buri 20110
Piyabut Burikham, Teeraparb Chantavat (Naresuan University) , Utane Sawangwit (National Astronomical Research Institute of Thailand)
Description

 

This workshop is intended for Thai undergraduate/graduate students and researchers interested in machine learning and deep learning with applications in physics. During this workshop, participants will learn:

  • Basic programming in machine learning and deep learning.
  • Supervised machine learning: regression and classification.
  • Unsupervised machine learning.
  • Deep learning: image processing and neural network.
  • Applications in physics: time series data, cosmology.

Organizing Committee

  • Piyabut Burikham, Chulalongkorn University.
  • Teeraparb Chantavat, Institute for Fundamental Study, Naresuan University.
  • Utane Sawangwit, National Astronomical Research Institute of Thailand.
  • Sujin Suwanna, Mahidol University.
  • Suraphong Yuma, Mahidol University.

Limited availability up to 30 participants.  The attending participants will be announced at later time.  The participants must bring his/her own computer/laptop to the workshop.

All lectures are delivered in Thai.

Deadline for Registration 17 November 2025

    • 14:00 22:00
      Arrival

      Arrival at Naval Sea Power

    • 08:30 09:00
      Opening Ceremony
    • 09:00 10:30
      Lecture: Lecture 1
      • 09:00
        Basic Programming in Machine Learning and Deep Learning I 1h 30m
        Speaker: Dr Teeraparb Chantavat (Naresuan University)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 2
      • 10:45
        Basic Programming in Machine Learning and Deep Learning II 1h 15m
        Speaker: Dr Teeraparb Chantavat (Naresuan University)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:30
      Lecture: Lecture 3
      • 13:00
        Basic Programming in Machine Learning and Deep Learning III 1h 30m
        Speaker: Dr Teeraparb Chantavat (Naresuan University)
    • 14:30 14:45
      Break 15m
    • 14:45 16:00
      Lecture: Lecture 4
      • 14:45
        Basic Programming in Machine Learning and Deep Learning IV 1h 15m
        Speaker: Dr Teeraparb Chantavat (Naresuan University)
    • 16:00 18:00
      Tutorial: Tutorial 1
      • 16:00
        Program Installation 2h

        Installing programs and libraries for machine learning and deep learning.

        Speaker: Dr Suraphong Yuma (Mahidol University)
    • 09:00 10:30
      Lecture: Lecture 5
      • 09:00
        Supervised Machine Learning: Regression I 1h 30m
        Speakers: Mr Aniwat Kesorn (Mahidol University) , Dr Sujin Suwanna (Mahidol University)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 6
      • 10:45
        Supervised Machine Learning: Regression II 1h 15m
        Speakers: Mr Aniwat Kesorn (Mahidol University) , Dr Sujin Suwanna (Mahidol University)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:30
      Lecture: Lecture 7
      • 13:00
        Supervised Machine Learning: Classification I 1h 30m
        Speakers: Mr Aniwat Kesorn (Mahidol University) , Dr Sujin Suwanna (Mahidol University)
    • 14:30 14:45
      Break 15m
    • 14:45 16:00
      Lecture: Lecture 8
      • 14:45
        Supervised Machine Learning: Classification II 1h 15m
        Speakers: Mr Aniwat Kesorn (Mahidol University) , Dr Sujin Suwanna (Mahidol University)
    • 16:00 18:00
      Tutorial: Tutorial 2
      • 16:00
        Tutorial on supervised machine learning 2h
        Speakers: Mr Aniwat Kesorn (Mahidol University) , Dr Sujin Suwanna (Mahidol University)
    • 09:00 10:30
      Lecture: Lecture 9
      • 09:00
        Machine learning in time series data I 1h 30m
        Speaker: Dr Ittipon Fongkaew (Suranaree University of Technology)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 10
      • 10:45
        Machine learning in time series data II 1h 15m
        Speaker: Dr Ittipon Fongkaew (Suranaree University of Technology)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:30
      Lecture: Lecture 11
      • 13:00
        Machine learning in time series data III 1h 30m
        Speaker: Dr Ittipon Fongkaew (Suranaree University of Technology)
    • 14:30 14:45
      Break 15m
    • 14:45 16:00
      Lecture: Lecture 12
      • 14:45
        Machine learning in time series data IV 1h 15m
        Speaker: Dr Ittipon Fongkaew (Suranaree University of Technology)
    • 16:00 18:00
      Tutorial: Tutorial 3
      • 16:00
        Tutorial on machine learning in time series data 2h
        Speaker: Dr Ittipon Fongkaew (Suranaree University of Technology)
    • 09:00 10:30
      Lecture: Lecture 13
      • 09:00
        Image processing, neural network and deep learning 1h 30m
        Speaker: Dr Suraphong Yuma (Mahidol University)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 14
      • 10:45
        Deep learning on the sphere and its application in cosmology I 1h 15m
        Speaker: Dr Utane Sawangwit (National Astronomical Research Institute of Thailand)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:30
      Lecture: Lecture 15
      • 13:00
        Deep learning on the sphere and its application in cosmology II 1h 30m
        Speaker: Dr Utane Sawangwit (National Astronomical Research Institute of Thailand)
    • 14:30 14:45
      Break 15m
    • 14:45 16:00
      Tutorial
      • 14:45
        Image processing, neural network and deep learning 1h 15m
        Speaker: Dr Suraphong Yuma (Mahidol University)
    • 16:00 18:00
      Tutorial
      • 16:00
        Deep learning on the sphere and its application in cosmology 2h
        Speaker: Dr Utane Sawangwit (National Astronomical Research Institute of Thailand)
    • 09:00 10:30
      Lecture: Lecture 17
      • 09:00
        Unsupervised machine learning I 1h 30m
        Speaker: Dr Poemwai Chainakun (Suranaree University of Technology)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 18
      • 10:45
        Unsupervised machine learning II 1h 15m
        Speaker: Dr Poemwai Chainakun (Suranaree University of Technology)
    • 12:00 13:00
      Lunch 1h
    • 13:00 14:30
      Lecture: Lecture 19
      • 13:00
        Unsupervised machine learning III 1h 30m
        Speaker: Dr Poemwai Chainakun (Suranaree University of Technology)
    • 14:30 14:45
      Break 15m
    • 14:45 16:00
      Lecture: Lecture 20
      • 14:45
        Unsupervised machine learning IV 1h 15m
        Speaker: Dr Poemwai Chainakun (Suranaree University of Technology)
    • 16:00 18:00
      Tutorial: Tutorial 5
      • 16:00
        Unsupervised machine learning: case study 2h
        Speaker: Dr Poemwai Chainakun (Suranaree University of Technology)
    • 09:00 10:30
      Lecture: Lecture 21
      • 09:00
        Q & A Session I 1h 30m
        Speakers: Dr Sujin Suwanna (Mahidol University) , Dr Suraphong Yuma (Mahidol University) , Dr Teeraparb Chantavat (Naresuan University) , Dr Utane Sawangwit (National Astronomical Research Institute of Thailand)
    • 10:30 10:45
      Break 15m
    • 10:45 12:00
      Lecture: Lecture 22
      • 10:45
        Q & A Session II 1h 15m
        Speakers: Dr Sujin Suwanna (Mahidol University) , Dr Suraphong Yuma (Mahidol University) , Dr Teeraparb Chantavat (Naresuan University) , Dr Utane Sawangwit (National Astronomical Research Institute of Thailand)
    • 12:00 13:00
      Lunch 1h