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The fluid mechanics community in Bangalore has expanded enormously with different physics and engineering departments growing rapidly in the many institutes and industries. As a result of this, in the last few years, the institutes in Bangalore hosts an annual event  "Fluids Day" to strengthen the interaction amongst the fluid community in and around Bangalore. This event provides a perfect platform for M.S./PhD students, post-doctoral fellows, as well as early career scientists in industry to showcase their work by means of oral and poster presentations which not only facilitates cross-fertilization of ideas in basic research but also serves as useful bridges with industrial needs. The scope of Fluids Day covers all areas related to fluid mechanics, including theory, modelling, experiments and numerical simulations. We invite applications from researchers who are based in Bangalore.

The fluid mechanics community in Bangalore has expanded enormously with different physics and engineering departments growing rapidly in the many institutes and industries. As a result of this, in the last few years, the institutes in Bangalore hosts an annual event  "Fluids Day" to strengthen the interaction amongst the fluid community in and around Bangalore. This event provides a perfect platform for M.S./PhD students, post-doctoral fellows, as well as early career scientists in industry to showcase their work by means of oral and poster presentations which not only facilitates cross-fertilization of ideas in basic research but also serves as useful bridges with industrial needs. The scope of Fluids Day covers all areas related to fluid mechanics, including theory, modelling, experiments and numerical simulations. We invite applications from researchers who are based in Bangalore.

Blockchain technology is among one of the most influential disruptive technologies of the current decade. Researchers in India with related knowledge and expertise such as cryptology, distributed systems, mathematics, computational finances, and game theory, keenly seek out opportunities for formal programs on blockchain technologies, to explore the subject in depth.This three-day program is designed as a bootcamp, to help build up an understanding of blockchain technology through intense lecturing, discussions and direct interactions with experts in the field. The lectures are planned to cover topics from basic to the advanced levels, along with discussions on several open problems and research directions. Special focus will be given to two of the most fundamental problems in the field blockchain technology - scalability and privacy.Blockchain has been a field that is fast growing and with open structure, where concerns regarding privacy and scalability are important for its real worl...

Blockchain technology is among one of the most influential disruptive technologies of the current decade. Researchers in India with related knowledge and expertise such as cryptology, distributed systems, mathematics, computational finances, and game theory, keenly seek out opportunities for formal programs on blockchain technologies, to explore the subject in depth.This three-day program is designed as a bootcamp, to help build up an understanding of blockchain technology through intense lecturing, discussions and direct interactions with experts in the field. The lectures are planned to cover topics from basic to the advanced levels, along with discussions on several open problems and research directions. Special focus will be given to two of the most fundamental problems in the field blockchain technology - scalability and privacy.Blockchain has been a field that is fast growing and with open structure, where concerns regarding privacy and scalability are important for its real worl...

Machine learning techniques, especially “deep learning” using multilayer neural networks, have been highly successful in addressing a wide variety of computational problems in many domains of science and technology. However, a detailed theoretical understanding of why and how they work is not yet available. Some of the concepts and techniques of statistical physics, in which one routinely deals with theoretical descriptions of collective properties of systems consisting of very large numbers of interacting variables, are expected to be useful in analysing how deep networks function. The inherent variability of real-world data sets can be handled by techniques developed in the statistical physics of disordered systems such as spin glasses.  Also, it has been suggested that tools in statistical physics, such as renormalization-group transformations and quantum annealing, may be useful in improving the performance of deep networks. In addition, machine learning methods are now being used ...