Sudarson Roy Pratihar

Many environmental remediation and energy applications (conversion and storage) for sustainability need design and development of green novel materials. Discovery processes of such novel materials are time taking and cumbersome due to large number of possible combinations and permutations of materials structures. Often theoretical studies based on Density Functional Theory (DFT) and other theories, coupled with Simulations are conducted to narrow down sample space of candidate materials, before… Show more

Many environmental remediation and energy applications (conversion and storage) for sustainability need design and development of green novel materials. Discovery processes of such novel materials are time taking and cumbersome due to large number of possible combinations and permutations of materials structures. Often theoretical studies based on Density Functional Theory (DFT) and other theories, coupled with Simulations are conducted to narrow down sample space of candidate materials, before conducting laboratory-based synthesis and analytical process. With the emergence of artificial intelligence (AI), AI techniques are being tried in this process too to ease out simulation time and cost. However tremendous values of previously published research from various parts of the world are still left as labor-intensive manual effort and discretion of individual researcher and prone to human omissions. AIMS-EREA is our novel framework to blend best of breed of Material Science theory with power of Generative AI to give best impact and smooth and quickest discovery of material for sustainability. This also helps to eliminate the possibility of production of hazardous residues and bye-products of the reactions. AIMS-EREA uses all available resources -- Predictive and Analytical AI on large collection of chemical databases along with automated intelligent assimilation of deep materials knowledge from previously published research works through Generative AI. We demonstrate the use of our own novel framework with an example, of how this framework can be successfully applied to achieve the desired success in the development of thermoelectric material for waste heat conversion. Show less

Estimated loss due to fraud in telecom is about 46.3 US Dollars. This paper discusses the work of the authors in this area to establish a big data platform with intelligent self learning algorithms to detect frauds with high success and speed. Paper was presented in International Conference on Business Analytics and Intelligence in Dec 2015.

We create documents for architecture, high level design, design documents and also application framework design. People to be consume these are developer community. And in often, in large teams, developers do not get adequate time to assimilate knowledge from all of the above documents. A FAQ style “cookbook” can significantly bridge this gap and improve productivity of developers and also reduce deviations from architecture. Cook book will cater specific style of question, how to test, how to… Show more

We create documents for architecture, high level design, design documents and also application framework design. People to be consume these are developer community. And in often, in large teams, developers do not get adequate time to assimilate knowledge from all of the above documents. A FAQ style “cookbook” can significantly bridge this gap and improve productivity of developers and also reduce deviations from architecture. Cook book will cater specific style of question, how to test, how to check code quality and all such small things, but which can make big impact.

As CookBook is not a traditional practice in software engineering, this is not present in HCL. Mentioned practices do not go to the level of developers and as a result, more time is consumed from architect to mentor developer for each and every small nitty griity , and still cause deviations from architecture. Show less