Department of Mathematics, Faculty of Engineering and Technology, SRMIST, Ramapuram, Chennai India, is organizing Three days International Virtual Workshop on “Applied Mathematics” for faculty members and research scholars from 06.02.2023 to 08.02.2023.
Day 1
Date: 06.02.2023
Time: 02.30 PM IST
Topic: Some new aspects on Covid-19 transmission dynamics, number of waves and impact of vaccination: Mathematical modeling and numerical simulations
Resource person:
Dr. Joseph Malinzi
Department of Mathematics
University of Eswatini, Swaziland
Dr.Malinzi emphasized on the use of SEIRV model framework to determine the dynamics of COVID’19. The concepts such as model parameters to measure the infected, recovered, death rate of COVID’19 across various countries was discussed.
The session was extremely interesting and informative as the effect of control measures, vaccination rate and efficacy was elaborated by the speaker. With many models and simulation concepts on mathematical modeling, the speaker concluded that vaccination does reduce the disease incidence although it depends on the vaccine efficacy rate.
Nearly 200 participants from various parts of the world have actively participated in the programme today.
Day 2
Date: 07.02.2023
Time: 01.00 PM IST
Topic: “On the technique for solving generalized split feasibility and fixed point problems”
Resource person:
Dr. Godwin Chidi Ugwunnadi,
Department of Mathematics,
University of Eswatini, South Africa.
Dr. Godwin Chidi Ugwunnadi explained the concept of demimetric mapping which is more general than demicontraction. The very popularly used methods to solve non linear equations namely Newton’s method, Fixed Point Method and Bisection Method were explained with examples and its respective mathematical equations.
He also shared his idea on the proposed algorithm involving inertia term that accelerates the convergence for solving SCFPP and zeros of two monotone operators. The session concluded with the applications and numerical tests to confirm the effectiveness of the results obtained using various numerical methods. More than 100 participants from various parts of the world have actively participated in the programme.
Day 3
Date: 08.02.2023
Time: 02.30 PM IST
Topic: “Mathematics in Machine Learning”
Resource person:
Dr. Abeda S. Dodamani
Department of Mathematics
University of Eswatini, Swaziland
Dr. Abeda emphasized that behind every ML success there is Mathematics.
All ML models are constructed using solutions and ideas from math. The main branches of Mathematics involved in Machine Learning are: Linear Functions, Linear Algebra, Probability and Statistics.
Dr. Abeda elaborated the concept of linear and non-linear dependence and clarified the difference between local place and global place in n-dimensional manifold to the participants in an interesting way. She also discussed the geometry of vectors, point and direction in space bringing in the concepts of norm of a vector and vector projection.
The speaker had spoke about the Hadamard product which is also popularly known as elementary product. Her extraordinary focus on Eigen decomposition and Matrix norm were the added flavors of today’s session. Nearly 150 participants from various parts of the world have actively participated in the programme.
