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VISION
VISION
To create high impact research in the area of dynamical systems.
MISSION
MISSION
To specialize in Mathematical modeling, analysis and performance optimization for complex dynamic systems.
To innovate technical solutions in the fields of Biomedical Systems, Epidemiology, Signal and Image processing.
COE OVERVIEW
COE OVERVIEW
Mathematics Department initiated COE- Modeling of Dynamical Systems, to create high impact research in the area of dynamical systems. The major focus of the COE is to inculcate applicability of dynamical systems in Science, Engineering and Technology. Current expertise of the faculty covers Modeling of dynamics of Diseases, Dynamic Systems Modeling with Machine Learning, Optimal Hamiltonian Traversability in graphs.
COE OBJECTIVES
COE OBJECTIVES
To excel in Mathematical Modelling of dynamical systems in real world problems.
To develop innovative techniques for students to understand mathematical concepts through computational analysis.
To organize conferences, seminars and workshops for the benefit of students and faculty members.
To find approximate fast solution for mathematical problems by using Numerical Methods.
To create and manage a mathematics lab which enables the researchers and students to demonstrate, explain and reinforce abstract mathematical ideas by using computational analysis.
Research Interest
Research Interest
Modeling several social components using Graphs.
Modeling Biological System.
Modeling of several epidemics to simple illness.
Machine learning , a part of Artificial Inelegancy which is going to be our future
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