About us

Bannari Amman Institute of Technology www.bitsathy.ac.in

The Bannari Amman Educational Trust was established in 1995 with a vision to create educational facilities for students in rural areas. In pursuance of this vision, the Trust started Bannari Amman Institute of Technology (BIT) in 1996 at Sathyamangalam. The institution offers 11 undergraduate programmes and 3 postgraduate programmes in Engineering and Technology, Management, as well as 13 Ph.D. programmes in Engineering and Technology. BIT is an autonomous institution affiliated with Anna University, Chennai, approved by the All India Council for Technical Education (AICTE), New Delhi, and accredited by NAAC with an ‘A+’ grade (CGPA of 3.36 on a 4-point scale) in its third cycle. Furthermore, 13 departments at BIT have received accreditation from the National Board of Accreditation (NBA).

About the department

The Department of Mathematics has established a strong reputation through the publication of more than 20 books in Engineering Mathematics and over 200 research papers in peer-reviewed journals. The department provides ample opportunities for technical learning and research across a wide spectrum of mathematical areas. It actively bridges the gap between school-level and college-level learning through various innovative methodologies that help remove the fear of mathematics among young engineers. The department is supported by a team of highly motivated, dedicated, and experienced faculty members with diverse specializations. 

About the conference

The conference on AI-Driven Topological Data Analysis, Stochastic Calculus, and Computational Intelligence provides a global platform for academicians, researchers, and students to share and exchange their knowledge, research work, and experiences through conference presentations and the dissemination of high-quality research publications in the areas of Mathematics, Computer Science, Engineering, and Technology. It's an international forum where researchers and students can interact with eminent speakers and experts to discuss the latest innovations, trends, and emerging concerns, as well as practical challenges and solutions in Mathematics, Engineering, and Technology. The conference will focus on, but is not limited to, the following areas: Computational and Data-Driven Intelligence; Stochastic and Probabilistic Dynamics; Topological and Geometric Data Analysis; Modelling of Complex and Irregular Systems; Graph-Based Neural Networks and Topology; Quantum Information and Computation Theory; Soft Computing; Fuzzy Logic; and Hybrid Artificial Intelligence.