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16-17 June, 2026
Mumbai, India
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.


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Tuesday, June 16
 

4:50pm IST

Guide To Become Linux Kernel Maintainer - Krzysztof Kozlowski, Qualcomm
Tuesday June 16, 2026 4:50pm - 5:30pm IST
Linux kernel development has long since moved past the point of lacking contributors, with around 2,000 developers participating in each release and up to 330 first-time committers [1]. What the development process is missing, however, are reviewers and maintainers.

If you ever thought that becoming a Linux kernel maintainer was something reserved for members of a secret kernel lodge, join this talk in which we will explain why - and how - you should become a Linux kernel maintainer, with a focus on improving the Embedded Linux ecosystem.

Intention of this talk is not only present Krzysztof's ideas how to become Linux kernel maintainer, but also bring discussion with the audience, hoping more senior kernel maintainers will join and participate with their ideas and comments. Thus it could be considered a sort of half-Birds of Feather session.

[1] LWN.net: Some 6.18 development statistics, https://lwn.net/Articles/1046966/
Speakers
avatar for Krzysztof Kozlowski

Krzysztof Kozlowski

Linux Kernel Maintainer, Qualcomm
Krzysztof Kozlowski is an active Linux Kernel developer, working currently for Qualcomm. Krzysztof (co-)maintains several upstream kernel subsystems: the SoC subsystem (formerly arm-soc), Devicetree bindings, Memory controller drivers and Samsung Exynos SoC ARM/ARM64 architecture... Read More →
Tuesday June 16, 2026 4:50pm - 5:30pm IST
Lotus 3 (Third Floor)
  Linux

5:40pm IST

Scientific Machine Learning With NVIDIA PhysicsNeMo - Aniket Kulkarni & Samudyata Minasandra, Curlscape
Tuesday June 16, 2026 5:40pm - 6:20pm IST
Predicting how air flows and heat distributes through a physical product is essential for product feasibility studies, performance analysis etc. But it takes hours to days per design variant. You model the geometry, generate a mesh, set up boundary conditions, run the solver, post-process the results. The bigger issue is the back-and-forth between the designer and the simulation engineer. Multiply that by the dozens to hundreds of variants you need to explore a design space, and you get missed deadlines, stale questions, and engineering time spent waiting instead of thinking.
This talk covers usage of OpenFOAM to generate parametric training datasets across geometric and flow parameters with Latin Hypercube Sampling, then train a surrogate model using NVIDIA's PhysicsNeMo framework and its DoMINO (Deep Operator Network for Multi-physics) architecture. DoMINO encodes 3D geometry as a signed distance field, combines it with local surface features, and predicts pressure, temperature, and velocity directly on the part surface in a single forward pass, replacing the entire simulation chain. We'll go through how DoMINO works and why it fits this class of problems.
Speakers
avatar for Aniket Kulkarni

Aniket Kulkarni

Founder, Curlscape
Aniket Kulkarni is an experienced AI leader, entrepreneur, and technologist with expertise in AI; specifically AI Agents using OSS, open source small language models. Aniket is passionate about exploring technology for creating efficient, scalable, and accessible AI solutions that... Read More →
avatar for Samudyata Minasandra

Samudyata Minasandra

Generative AI intern at Curlscape, Curlscape
I’m a Computer Science Engineering undergraduate and Generative AI intern at Curlscape working on scientific machine learning and deep learning. My work spans surrogate modeling for physical systems, operator learning, and building ML pipelines for real-world problems. Recently... Read More →
Tuesday June 16, 2026 5:40pm - 6:20pm IST
Jasmine 2 (Third Floor)
  Open AI + Data
 
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