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CASML 2024, IISC BANGALORE

 * Calls
   * Call for Papers
   * Call for Posters
 * | Program
   * Preconference Workshop
   * Hackathon
   * Speakers
   * Schedule
   * Spotlight Papers and Presentations
 * | Conference Proceedings
   * Spotlight Papers
   * Posters
   * Best paper and Poster Awards
 * | Registration
 * | Attend
 * | Organizers
 * | Contact Us


INTERNATIONAL CONFERENCE ON


APPLIED AI AND SCIENTIFIC MACHINE LEARNING

DECEMBER 14-18, 2024

Register
Flyer


RECENT UPDATES

 * 2024-12-22Pictures taken during CASML 2024 can be accessed here.
 * 2024-12-20CASML 2024 Conference has concluded successfully! The Conference
   proceedings are available online.
 * 2024-12-20Prof. Ricardo Vinuesa’s talk can be accessed here.
   


CASML 2024

Join us at the Indian Institute of Science (IISc), Bangalore, for the inaugural
Conference on Applied AI and Scientific Machine Learning (CASML) organised by
AiREX Lab at IISc and supported by ARTPARK. This pioneering event, at the
crossroads of AI, Machine Learning and Scientific Computing, will explore the
application of AI techniques in fields like Computational Science, and
Engineering.

A special session is planned for AI-driven engineering companies, organizations
wanting to implement AI-driven Digital Twins, and DeepTech startups working in
core science and engineering solutions. Please contact
associatepartner@casml.cc.


CONFERENCE HIGHLIGHTS:

 * Physics-Informed Neural Networks (PINNs): Delve into solving forward and
   inverse problems using Partial Differential Equations.
 * Neural Operators: Explore DeepONet and Fourier Neural Operators for complex
   challenges.
 * Integration of NLP and CV: Focus on applications like fluid flow
   super-resolution.
 * Digital Twins & Surrogate Modelling: Examine data-driven system replication.
 * SciMLOps & High-Performance Computing: Push scientific computing boundaries
   with PINNs.
 * Explainable & Interpretable AI: Ensure transparency in scientific AI
   applications.
 * Pre-conference Workshop: Hands-on training on Scientific ML techniques.


EVENT STRUCTURE:

 * Keynote Addresses & Technical Sessions: Featuring peer-reviewed
   presentations.
 * Panel Discussions: Tackle critical industry AI challenges with Digital Twins.
 * Hackathon: Bridge academic research with industrial applications.




MAIN FOCUS AREAS




PHYSICS-INFORMED NEURAL NETWORKS

Unlock Forward and Inverse PDE Solutions with Physics-Informed Neural Networks
and Variants!


NEURAL OPERATORS

Harness Operator Learning with Deep-O-Net and Fourier Neural Operators to Tackle
Complex Problems!


GENAI FOR COMPUTATIONAL PROBLEMS

Elevate Computational Power: Use Computer Vision for Fluid Flow Super-Resolution
and NLP to Solve Scientific Machine Learning Challenges!


DIGITAL TWINS & SURROGATE MODELLING

Create Real-Life Replicas: Digital Twins Using Data-Driven and Computational
Methods!


SCIMLOPS

Push Scientific Boundaries: Harness High-Performance Computing and PINNs with
Data-Driven Innovation!


EXPLAINABLE & INTERPRETABLE AI

Drive Innovation: Use High-Performance Computing and PINNs to Redefine
Scientific Computing!




SPEAKERS


❮


PROF. DR. GEORGE E. KARNIADAKIS

Brown University

Research Interests: Physics-informed Neural Networks, Probabilistic Scientific
Computing, Stochastic Multiscale Modelling


PROF. ANIMA ANANDKUMAR

California Institute of Technology and NVIDIA

Research Interests: Machine learning, Artificial Intelligence


PROF. RICARDO VINUESA

KTH Royal Institute of Technology

Research Interests: AI/ML/RL for CFD, Flow control, Turbulent Flows,
Sustainability


DR. PRADEEP RAMACHANDRAN

Advanced Computing labs, KLA

Research Interests: HPC, Image processing, AI


PROF. DR. SIDDHARTHA MISHRA

ETH, Zurich

Research Interests: Scientific computing, nonlinear PDEs, machine learning,
computational fluid dynamics


SUCHISMITA SANYAL

ExxonMobil

Research Interests: Computational sciences


DR. ARJUN JAIN

FastCode AI

Research Interests: Computer Graphics, Vision, Machine Learning


JIGAR HALANI

NVIDIA

Research Interests: High Performance computing, Big Data, AI Metaverse,
Virtualization


PROF. BHARADWAJ AMRUTUR

IISc Bangalore

Research Interests: Robotics, AI-enabled Autonomous systems


DR. SURANJAN SARKAR

Shell Technology Centre

Research Interests: Computational fluid dynamics, Systems Modeling, Digital
Twins and Surrogate Modeling, SciML


DR. PRAKASH RAGHAVENDRA

AMD

Research Interests: GPU Computing, HSA Compilers


DR. ALEXANDER HEINLEIN

TU Delft

Research Interests: Numerical Analysis, High Performance Computing, Scientific
Machine Learning


DR. PRASANNA BALAPRAKASH

Oak Ridge National Laboratory

Research Interests: AI for Science, High Performance Computing, Scientific
Machine Learning


PROF. GIANLUIGI ROZZA

SISSA, Int. School for Adv. Studies, Italy

Research Interests: Numerical Analysis, Numerical Simulation, Optimization
Control, Computational Fluid Dynamics


DR. PRIYANKA SHARMA

Fujitsu Research of India (FRIPL)

Research Interests: HPC, AI, Deep Learning, NLP, Computer Vision

❯



REGISTRATION


STUDENTS

Including post docs and RA research staff
Regular Registration
₹2,000
Late Registration
₹3,000


FACULTY

For academicians
Regular Registration
₹4,000
Late Registration
₹6,000


INDUSTRY

For industry professionals
Regular Registration
₹8,000
Late Registration
₹12,000