Research & Consultancy | Scientific Computing, Modeling & Simulation, Savitribai Phule Pune University

Scientific Computing, Modeling & Simulation

Savitribai Phule Pune University

Research & Consultancy

Multidisciplinary expertise under one roof!

Collectively, the Department possesses expertise in areas including

Machine learning, statistical learning, data science
Statistical data modeling & analysis
Data-intensive decision support and research
Computational epidemiology
Complex systems & network science
Scientific computing and large-scale numerics
Monte Carlo methods
Computational physics and materials modeling
Industrial and applied mathematics
Cryptography
Digital signal & image processing
Computational fluid dynamics
Defence ballistics
Free software

For consultancy enquires, please write to
coordinator AT scms.unipune.ac.in

Broad research areas

Publications, preprints, technical reports

Computational Epidemiology

Covid19 Modeling (Snehal Shekatkar, Bhalchandra Pujari): Please visit our Covid19 modeling and Pune 2020 forecast portals.

Image Courtesy: Snehal Shekatkar

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.

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.

DSP/DIP & Machine Learning (Bhalchandra Gore): Automated identification of voice, gender, features, handwriting recognition for use in congitive detection systems.

Image Courtesy

Image Courtesy: Bhalchandra Pujari

Computational Materials Science and Materials Modeling

Ab initio and other approaches (Vaishali Shah, Bhalchandra Pujari, Ankita Katre): Centre has an long-standing, intensive 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.

Industrial and Applied Mathematics

Computational Fluid Dynamics, Defence Ballistics, etc. (Sukratu Barve)

Cryptography and Optimization (Smita Bedekar): Measuring security strength of cryptographic keys (in terms of time for breaking) using discrete mathematics and boolean satisfiability.