Mathematical and Computational Sciences are essential to deploy analytic thinking and computational techniques to tackle problems of science as well as engineering. In the Mathematical and Computational Sciences (MCS) division at IASST, we are primarily engaged in the application of Mathematics, Statistics and Computer Science in solving physical problems having significance in science, engineering, and society. In the process, an emphasis is made into enriching the basic knowledge of the respective areas of research. Then we put our effort forward in other areas as diverse as biology, finance, marine science, flood prediction, etc. Faculties at IASST, apart from their individual research, also works in a collaborative manner with other national/international research and technical institutions/universities of a global reputation as well as with other faculty members of IASST across other research divisions. Students here acquire the basic knowledge and problem-solving skills which enable them to pursue their respective professional careers either in academia or industry. The majority of our past students are currently successfully placed at various state and central universities/institutions, and industries.
Research on Mathematics covers core areas like topology, algebra to applied areas such as fluid dynamics, fuzzy mathematics. The current research focus in Mathematics is primarily concentrated on fluid dynamics and the allied areas in marine science and technology, river modeling and flood forecasting in the Brahmaputra river basin. Research on Statistics is focused but not limited to queuing theory – a branch of the stochastic process which has a significant impact on other areas like industrial engineering, digital communication systems, and telecommunication systems. This research area also includes environmental statistics, biostatistics and epidemiology. At present all these studies are focused on their application to areas of health. On the other hand, the primary research areas in Computer Science is focused on computer vision and pattern recognition, where machine learning and deep learning techniques are studied and developed for various applications on medical and ballistic datasets.