Pioneering innovative solutions at the intersection of Artificial Intelligence (AI), Scientific Machine Learning (SciML), and Computational sciences, we are committed to developing cutting-edge technologies that drive scientific discovery, solve complex problems, and shape the future.
We, AI for Research and Engineering eXcellence (AiREX) Lab at CDS, IISc Bangalore, are passionate about pushing the boundaries of artificial intelligence, scientific machine learning, and computational science. Our work is centered around creating powerful AI-driven predictive models and robust frameworks to tackle complex challenges. We’re equally excited about exploring the intersection of AI and traditional scientific methods, such as finite element analysis. By combining the best of both worlds, we aim to develop innovative solutions.
Join us in our mission to harness the power of AI for scientific discovery and technological advancement. Let’s build the future together!
We work on advancing AI, SciML, FEM, computational sciences, deep learning, generative AI, and SciMLOps to develop cutting-edge solutions in data synthesis, simulation, predictive modeling, and engineering applications and to build AI-driven Digital Twins.
Scientific Machine Learning
Leveraging high-performance computing and Physics-Informed Neural Networks (PINNs) to push the boundaries of scientific computing with data-driven methodologies.
Finite Element Methods
Advancing finite element analysis techniques to tackle complex problems in multiphase flows, fluid-structure interactions, and turbulent flow dynamics.
Computational Sciences
Fusing traditional numerical methods with cutting-edge parallel computing to enhance simulations in fluid dynamics, structural analysis, and epidemiological modeling.
Deep Learning
Developing robust deep learning models for tasks ranging from image recognition to natural language processing, emphasizing model interpretability and performance.
Generative AI
Creating innovative generative models to synthesize realistic data, enhancing applications in content creation, design automation, and predictive modeling.
SciMLOps
Establishing scalable and efficient SciMLOps frameworks for seamless ML model deployment, continuous integration, and robust version control in diverse computing environments.
Our state-of-the-art scientific computing lab provides researchers with cutting-edge tools and expertise to tackle complex computational challenges. From data-intensive simulations to advanced machine learning models, we empower scientific breakthroughs across disciplines.
5+
Industry Projects
10+
PhD Students
50+
Research Papers
Our lab specializes in developing cutting-edge AI solutions for complex scientific challenges. We focus on areas such as predictive modeling, MLOps, finite element analysis, and generative AI.
We look for people with excellent problem solving and coding skills. We look for people who have demonstrated their domain knowledge (for their level) by publishing papers in good conferences/journals or having their projects on public platforms like github.
Currently our focus is towards solving fluid flow problems using scientific machine learning. We also focus on the MLOps aspects of the code and the use of GenAI in LLM and signal processing applications.
We welcome collaborations with academia, industry, and government. We offer opportunities for research partnerships, internships, and consulting. Please reach out to Professor Sashikumaar Ganesan for more information.
Department of Computational and Data Sciences (CDS), IISc Bangalore
Founder and CAiO, Zenteiq AiTech Innovations Private Limited
sashi-AT-iisc.ac.in
+91-80-2293 2789
