HSF-India Scientific Computing Workshop - IIT Madras

Asia/Kolkata
David Lange (Princeton University (US)), Peter Elmer (Princeton University (US)), Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Verena Ingrid Martinez Outschoorn (University of Massachusetts (US)), James Libby, James Libby, Prafulla Behera (Indian Institute of Technology Madras (IN))
Description

People are the key to successful software. The HSF-India project aims to promote the development of international research software collaborations. This is the 9th in a series of workshops for software and data analysis skills essential for doing research software in physics. Our curriculum builds upon the successful series of workshops. 

This workshop covers

  • Scientific Python
  • Basics and applications of machine learning
  • Software of the Belle-II experiment 

This event is organized primarily for PhD students and masters students from the surrounding region. However, anyone is welcome to attend. 

The dates of this workshop are 5 to 9 January 2026. Registration is now closed.  Feel free to contact us in case of questions. 

Learn more about the HSF-India project at http://research-software-collaborations.org

This workshop will include tutorials specifically focused on Belle-II (as parallel sessions). Therefore, we will follow the workshop with a 1.5 day Belle II Analysis Workshop (BAW) on the 9th and 10th of January open to Belle-II collaborators only. A seperate indico will be made for the BAW soon, but please indicate in your registration if you intend to join the BAW too. 

The registration fee for the Workshop is 2000 Rs and for the Workshop and BAW it will be 3000 Rs. Accommodation will be charged separately and options will be given to the participants upon registration. We have some limited support for accommodation but none for travel.  

This event is supported by the U.S. National Science Foundation grant OISE-2201990.

 

Contact us
    • 1
      Registration
    • 2
      Welcome presentations
    • 10:30
      Break for Tea
    • 3
      Introduction of High Energy Physics software and data analysis
      Speakers: James Libby, James Libby, Verena Ingrid Martinez Outschoorn (University of Massachusetts (US))
    • 13:00
      Lunch
    • 4
      Scientific Python
      Speakers: David Lange (Princeton University (US)), Peter Elmer (Princeton University (US))
    • 15:30
      Break for Tea
    • 5
      Scientific Python
      Speakers: David Lange (Princeton University (US)), Peter Elmer (Princeton University (US))
    • 6
      Introductions
    • 7
      Scientific Python
      Speakers: David Lange (Princeton University (US)), Peter Elmer (Princeton University (US))
    • 11:00
      Break for Tea
    • 8
      Scientific Python
      Speakers: David Lange (Princeton University (US)), Peter Elmer (Princeton University (US))
    • 13:00
      Lunch
    • 9
      Introduction to Machine Learning
      Speaker: Michelle Kuchera (Davidson College)
    • 15:30
      Break for Tea
    • 10
      Introduction to Machine Learning
      Speaker: Michelle Kuchera (Davidson College)
    • 11
      Introduction of Machine Learning
      Speaker: Michelle Kuchera (Davidson College)
    • 11:00
      Break for Tea
    • 12
      Introduction of Machine Learning
      Speaker: Michelle Kuchera (Davidson College)
    • 13:00
      Lunch
    • 13
      Introduction of Machine Learning
      Speaker: Michelle Kuchera (Davidson College)
    • 15:30
      Break for Tea
    • 14
      Introduction to Belle-II software and analysis
      Speakers: Giacomo De Pietro (Karlsruhe Institute of Technology), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))
    • 15
      Parallel: Introduction to Belle-II software and analysis
      Speakers: Giacomo De Pietro (Karlsruhe Institute of Technology), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))
    • 16
      Parallel: Topical AI/ML hackathon
      Speakers: Abhishikth Mallampalli (University of Wisconsin Madison (US)), Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))
    • 11:00
      Break for Tea
    • 17
      Parallel: Introduction to Belle-II software and analysis
      Speakers: Giacomo De Pietro (Karlsruhe Institute of Technology), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))
    • 18
      Parallel: Topical AI/ML hackathon
      Speakers: Abhishikth Mallampalli (University of Wisconsin Madison (US)), Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))
    • 13:00
      Lunch
    • 19
      Parallel: Introduction to Belle-II software and analysis
      Speakers: Giacomo De Pietro (Karlsruhe Institute of Technology), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))
    • 20
      Parallel: Topical AI/ML hackathon
      Speakers: Abhishikth Mallampalli (University of Wisconsin Madison (US)), Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))
    • 15:30
      Break for Tea
    • 21
      Parallel: Introduction to Belle-II software and analysis
      Speakers: Giacomo De Pietro (Karlsruhe Institute of Technology), Michel Hernandez Villanueva (Brookhaven National Laboratory (US))
    • 22
      Parallel: Topical AI/ML hackathon
      Speakers: Abhishikth Mallampalli (University of Wisconsin Madison (US)), Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))
    • 23
      Hackathon summaries
    • 24
      Using virtual environments to manage software
    • 10:45
      Break for Tea
    • 25
      Topical Lecture - What Enables Research in Experimental Particle Physics?
      Speaker: Peter Elmer (Princeton University (US))
    • 26
      Workshop Wrapup
    • 13:00
      Lunch