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.
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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Professor, Department of Mathematics,
School of Engineering, Bengaluru
Assistant Professor(SG)
School of Engineering, Bengaluru
Assistant Professor
School of Engineering, Bengaluru
Assistant Professor (Sr. Gr.),
School of Engineering, Bengaluru
Assistant Professor
Computational Science Lab,
Bengaluru
Assistant Professor
bl.sc.r4mat22010@bl.students.amrita.edu
Postdoc Fellow
Ph. D. Scholar,
BL.PS.R4MAT23001@bl.students.amrita.edu
Ph. D. Scholar,
bl.sc.r4mat15003@bl.students.amrita.edu
Ph. D. Scholar,
bl.sc.r4mat21002@bl.students.amrita.edu
| Sl. No. | Name of the Student(s) | Topic | Status – Ongoing/Completed | Year of Completion |
|---|---|---|---|---|
| 1 | Mr.V.KesavuluNaidu | Completed | ||
| 2 | Ms.SaradaJayan (MSc,IITMadras) | Completed | ||
| 3 | Ms.SmithaTV (MSc,IITBombay) | Completed | ||
| 4 | Ms.SupriyaDevi | Completed | ||
| 5 | Mr.Chandan K. | Machine learning application for heat transfer problems | Completed | 2024 |
| 6 | Ms.PadmasudhaG. | Subparameticc finite element method | Completed | 2024 |
| 8 | Mr. Ashrith R P bl.ps.r4mat23001 | Bio Convective Nano Fluid Flow over varied Geometries | Ongoing | |
| 9 | Mr. Shivakumar S. P bl.ps.r4mat24005 | A Computational approach for sustainable energy aspects in the flow of different Newtonian/Non Newtonian Fluids | Ongoing | |
| 10 | Mr. S. Bhanu Prakash BL.EN.D*MEE16003 | “Numerical Analysis of Heat Transfer in Heat Sinks for Thermal Management”. | Ongoing | |
| 11 | Ms.PoornimaR bl.sc.r4mat21002 | Design and Optimization of thin film solar cell configuration structures using the Sub parametric finite element method | Ongoing | |
| 12 | Mr.VibinP.G BL.SC.R4MAT22009 | Solutions to Parabolic PDEs by FEM and Machine Learning Techniques | Ongoing | |
| 13 | Mr. AnukulSachan BL.PS.R4MAT24011 | Integrating Modified Topological Index with Neural Networks for Accurate Quantitative Structure-Property Relationship(QSPR) | Ongoing | |
| 14 | Mr. Sanju.B.S.”SanjuBL.PS.R4MAT24010 | Newtonian/Non-Newtonian fluids | Ongoing | |
| 15 | Mrs.Jisha R Nair BL.PS.R4MAT24006 | Higher order FEM implement for sustainable energy aspects in the fluid flow problems | Ongoing | |
| 16 | Mr. Shivakumar S. P bl.ps.r4mat24005 | A Computational approach for sustainable energy aspects in the flow of different Newtonian/Non Newtonian Fluids | Ongoing | |
| 17 | Mr. Anukul Sachan BL.PS.R4MAT24011 | Integrating Modified Topological Index with Neural Networks for Accurate Quantitative Structure-Property Relationship(QSPR) | Ongoing | |
| 18 | Mr. Sanju.B.S.”Sanju BL.PS.R4MAT24010 | Newtonian/Non-Newtonian fluids | Ongoing | |
| 19 | Mrs.Jisha R Nair BL.PS.R4MAT24006 | Higher order FEM implement for sustainable energy aspects in the fluid flow problems | Ongoing |
Kasavanahalli, Carmelaram P.O.
Bangalore – 560035, India
