HSF-India Scientific Computing Workshop - IIT Mandi

→ 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)), Amal Sarkar (Indian Institute of Technology Mandi), Prabhakar Palni (Indian Institute of Technology Mandi - IIT-Mandi (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 part of 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.ย 

This workshop covers

  • Hands-on introduction to Python and Scientific Python. The first afternoon will focus on the Python language and essential syntax for engaging with machine learning toolkits and scientific python libraries.
  • Hands-on introduction to machine learning for scientific analysis. We will start from the mathematical foundations of ML, demonstrate how neural network architectures work, and illustrate modern ML techniques such as transformers.
  • Hands-on introduction to LHC analysis using Coffea and other Python ecosystem packages.
  • Hackathon including applications of Machine Learning, and Scientific Python, Coffea and programming skills to experimental physics applications. Projects will be group oriented and will each be lead by an international expert.

This event is organized primarily for students from IIT Mandi and nearby universities, however, anyone is welcome to attend. ย We expect to be able to accommodate up to about 45 participants in the full event. ย 

The registration is open. The deadline for full consideration of your application of October 15 2026, but we are still accepting applications. We hope to be able to accept all requests, but do have limited space. A registration fee of 1200 INR will be collected later from the accepted registrations. A limited number of scholarships will also be available, so please apply even if the fee would otherwise prevent you from attending. Housing will be available for students from outside of IIT Mandi.

Feel free to contact us in case of questions.ย 

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

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

ย 

Registration
    • 09:30 → 10:30
    • 10:30 → 11:00
      Tea break 30m
    • 11:00 → 13:00
      Analyzing High Energy Physics Data 2h
      Speaker: David Lange (Princeton University (US))
    • 13:00 → 14:00
      Lunch 1h
    • 14:00 → 15:30
      Introduction to Scientific Python 1h 30m
      Speakers: Matthew Feickert (University of Wisconsin (US)), Mohamed Aly (Princeton University (US))
    • 15:30 → 16:00
      Tea break 30m
    • 16:00 → 18:00
      Introduction to Scientific Python 2h
      Speakers: Matthew Feickert (University of Wisconsin (US)), Mohamed Aly (Princeton University (US))
    • 09:15 → 11:00
      Data analysis with Scientific Python 1h 45m
      Speakers: Iason Krommydas (Rice University (US)), Nick Manganelli (Northeastern University (US))
    • 11:00 → 11:30
      Tea break 30m
    • 11:30 → 13:00
      Data analysis with Scientific Python 1h 30m
      Speakers: Iason Krommydas (Rice University (US)), Nick Manganelli (Northeastern University (US))
    • 13:00 → 14:00
      Lunch 1h
    • 14:00 → 15:30
      Introduction to machine Learning 1h 30m
      Speakers: Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Varun Sharma (University of Wisconsin (US))
    • 15:30 → 16:00
      Tea break 30m
    • 16:00 → 18:00
      Machine Learning techniques and applications 2h
      Speakers: Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Varun Sharma (University of Wisconsin (US))
    • 09:15 → 11:00
      Machine learning techniques and applications 1h 45m
      Speakers: Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Varun Sharma (University of Wisconsin (US))
    • 11:00 → 11:30
      Tea break 30m
    • 11:30 → 12:00
      Machine learning techniques and applications 30m
      Speakers: Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Varun Sharma (University of Wisconsin (US))
    • 12:00 → 12:30
      Data analysis with Scientific Python 30m
      Speakers: Iason Krommydas (Rice University (US)), Nick Manganelli (Northeastern University (US))
    • 12:30 → 12:40
      Coding agents in binderhub 10m
      Speaker: David Lange (Princeton University (US))
    • 12:40 → 13:00
      HEP software hackathon - Project introductions and group formation 20m
      Speakers: David Lange (Princeton University (US)), Iason Krommydas (Rice University (US)), Matthew Feickert (University of Wisconsin (US)), Mohamed Aly (Princeton University (US)), Nick Manganelli (Northeastern University (US)), Rafael Coelho Lopes De Sa (University of Massachusetts (US)), Varun Sharma (University of Wisconsin (US))

      Project-1: Classification of QCDJets and TTJets using different Neural Nets

      • Part-A: More excercises for neural nets (https://github.com/varuns23/ml-intro-IITMandi)
        • More Notebooks for Linear/Logistic regression and Neural Nets
        • https://github.com/varuns23/ml-intro-IITMandi
      • Part-B: Kaggle challenge: Use simulated data to classify QCD jets (background) and TTjets(signal).
    • 13:00 → 14:00
      Lunch 1h
    • 14:00 → 15:30
      HEP software hackathon 1h 30m
    • 15:30 → 16:00
      Tea break 30m
    • 16:00 → 17:40
      HEP software hackathon 1h 40m
    • 17:40 → 18:00
      Daily activity reports / Q&A 20m A1NKN

      A1NKN

    • 19:00 → 22:00
      Dinner 3h
    • 09:15 → 10:30
      Topical lectures: FPGA triggering and Differentiable Programming 1h 15m
      Speaker: Varun Sharma (University of Wisconsin (US))
    • 10:30 → 11:00
      HEP software hackathon 30m
    • 11:00 → 11:30
      Tea break 30m
    • 11:30 → 13:00
      HEP software hackathon 1h 30m
    • 13:00 → 14:00
      Lunch 1h
    • 14:00 → 15:30
      HEP software hackathon 1h 30m
    • 15:30 → 15:50
      Tea break 20m
    • 15:50 → 17:10
      HEP software hackathon 1h 20m
    • 17:10 → 17:30
      Daily activity reports / Q&A 20m