Centre for Modeling & Simulation
Savitribai Phule Pune University


Multidisciplinary Research

Collectively, the Department possesses expertise in the areas including
  • Complex systems
  • Statistical and data-intensive science
  • Computational physics and materials modeling
  • Scientific computing and large-scale numerics
Publications / Preprints: Visit the Technical Reports page.

Jump to: Complex SystemsStatistical and Data-Intensive ScienceComputational MaterialsIndustrial and Applied Mathematics
Research at the Centre
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Complex Systems
Image Courtasy: Snehal Shekatkar

Complex Systems

Network 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 Learning

Astrostatistics, 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)
Statistical Science
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Materials Modeling
Image Courtasy: Bhalchandra Pujari

Computational Materials Science and Materials Modeling

Centre 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 Mathematics

Digital Signal and Image Processing (Bhalchandra Gore) Automated identification of voice, gender, features, handwriting recognition for use in congitive detection systems.
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