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Computational
Science Lab (CSL)

About

We work at the interface between computation and physical sciences related to the simulation of Nature and artificial intelligence.

Computational science is a rapidly growing interdisciplinary field. Many problems in science and technology cannot be sufficiently studied experimentally or theoretically. It may be too expensive or impossible due to the space and timescales involved. The Computational Science Laboratory’s experts in high-performance computing applied mathematics, and domain sciences work together to develop, adapt, and optimize advanced, scalable algorithms to solve problems in computational physics, biology, chemistry, materials science, and energy and environmental sciences with increasingly faster computers. Primarily, researchers collaborate in areas impacting data-intensive applications, performance-specific workflows, and novel computing architectures. Computational science is considered by many to be a third methodology in scientific research, along with theory and experiment, and working in tandem with them. Computational science can be used to corroborate theories that cannot be confirmed or denied experimentally, for example, theories relating to the creation of the universe. On the other hand, advances in experimental techniques and the resulting data explosion allow for data-driven modelling and simulation. to gelatin in sustained drug release systems. 

Research Areas

Video processing applications often need to incorporate robust noise reduction techniques that provide visually pleasing effects. For real-time implementation, a novel hardware architecture has been developed which enables noise reduction and object tracking. This project implements automated subparametric mesh-based optical flow estimation and video quality enhancement using Convolutional Neural Networks (CNN). In hardware implementation mesh based median filter with the Lucas-Kanade approach has been used for noise removal and object tracking.

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People

Computational Science Lab (CSL)
Dr. K V Nagaraja

Professor & Research Head
Amrita School of Engineering, Bengaluru
kv_nagaraja@blr.amrita.edu

Computational Science Lab (CSL)
Dr. T V Smitha

Assistant Professor(SG)
Amrita School of Engineering, Bengaluru
tv_smitha@blr.amrita.edu

Computational Science Lab (CSL)
Dr. Naveen Kumar R

Assistant Professor
Department of Mathematics
Amrita School of Engineering, Bengalure

Computational Science Lab (CSL)
Dr. R.S. Varun Kumar

Postdoc Student

Computational Science Lab (CSL)
Dr. Madhukesh J K

Postdoc Student

Computational Science Lab (CSL)
Ms. Padmasudha G

Research Scholar,
Sub-parametic finite element method for elliptic PDEs

Computational Science Lab (CSL)
Ms. Poornima R

Research Scholar,
Design and Optimization of thin film solar cell configuration structures using the Sub parametric finite element method

Computational Science Lab (CSL)
Mr. Chandan K

Research Scholar,
Machine learning application for heat transfer problems

Computational Science Lab (CSL)
Ms. Nimmy P.

Research Scholar,
Heat transfer problem with neural network modelling

Computational Science Lab (CSL)
Mr. S. Bhanu Prakash

Research Scholar,
Numerical Analysis of Heat Transfer in Heat Sinks for Thermal Management

Computational Science Lab (CSL)
Mr. Vibin P.G

Research Scholar,
Solutions to Parabolic PDEs by FEM and Machine Learning Techniques

Contact us

Computational Science Lab (CSL)

Kasavanahalli, Carmelaram P.O.
Bangalore – 560035, India

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