Multidisciplinary ResearchCollectively, the Department possesses expertise in the areas including
Jump to: Complex Systems • Statistical and Data-Intensive Science • Computational Materials • Industrial and Applied Mathematics |
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Image Courtasy: Snehal Shekatkar |
Complex SystemsNetwork Science (Snehal Shekatkar): Real-world systems that are composed of many interacting units, such as social networks, transportation networks, world-wide web, metabolic networks. Real-world phenomena such as traffic jams, spread of rumours, epidemics and riots, opinion formation and polarization in social networks, etc.Computational Epidemiology (Snehal Shekatkar, Bhalchandra Pujari, Mihir Arjunwadkar): |
Statistical and Data-Intensive Science, Machine LearningAstrostatistics, etc. (Mihir Arjunwadkar): Development (or: apt and meaningful use) of statistical and computational methodologies for data-intensive science. Current and past focus areas include genomic sequence analysis, areas of astrostatistics such as CMB data analysis, pulsar astronomy, compressed-sensing methods for radio astronomy, etc.Machine Learning (VK Jayaraman) |
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Image Courtasy: Bhalchandra Pujari |
Computational Materials Science and Materials ModelingCentre has an active research programme in computational materials science. Using the state-of-the-art techniques, electronic and atomistic properties are investigated to gain macroscopic insights from microscopic point-of-view. From graphene to quantum dots and from semiconductors to random alloys, the members of this group have a long history of working at the cutting edge of materials science.Principal Researchers Bhalchandra Pujari | Ankita Katre |
Industrial and Applied MathematicsDigital Signal and Image Processing (Bhalchandra Gore) Automated identification of voice, gender, features, handwriting recognition for use in congitive detection systems. |
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