Purpose

The present conference ICLAA 2025, the sixth in its sequel, shall provide a platform for leading Mathematicians and Statisticians, working around the globe in the theme area to discuss several research issues and to introduce new innovations. The main goal of the conference is to bring experts, young researchers, and students together to present recent developments in this dynamic and important field. The conference also aims to stimulate research and support the interaction among the scientists by creating an environment for the participants to exchange ideas and to initiate collaborations and professional partnerships.

On behalf of the Scientific Advisory Committee, and the Local Organizing Committee, we have much pleasure in extending a cordial invitation to participate in this conference.

• Classical Matrix Theory and Linear Algebra
• Nonnegative Matrices and Special Matrices
• Matrices and Graphs
• Combinatorial Matrix Theory
• Matrix Methods in Statistics
• Linear Statistical Inference
• Matrices in Error Analysis and its Applications
• Matrix and Graph Methods in Applied Sciences

Linear Algebra and Graph Theory are important branches of Mathematics having applications in every branch of science. The topic ‘Matrix Methods in Statistics’ is a branch of Linear Algebra and Matrix Theory containing a variety of challenging problems in Linear Statistical Models and Statistical Inference, having applications in various branches of Applied Statistics such as Natural Sciences, Medicine, Economics, Electrical Engineering, Markov Chains, Digital Signal Processing, Pattern Recognition and Neural Network, to name a few. Advances in Combinatorial Matrix Theory are motivated by a wide range of their applications in the subjects such as Networks, Chemistry, Genetics, Bioinformatics, Computer Science, and Information Technology. The areas of Classical Matrix Theory and Combinatorial Matrix Theory interact with each other, which is evident from the interplay between Graphs and Matrices. Generalized Inverses of Matrices such as the Incidence Matrix and Laplacian Matrix are mathematically interesting and have great practical significance. Covariance Matrices play an important role in the study of uncertainty associated with data related to measurements, which is an important part of applied Mathematics and Statistics.

This conference is in sequel to the conferences CMTGIM 2012, ICLAA 2014, ICLAA 2017, ICLAA 2020(21), and ICLAA 2023 held in Manipal during January 2012, December 2014, December 2017, December 2021, and December 2023, resepctively. The present conference shall provide an avenue for leading Mathematicians, Statisticians, and scientists working in the applied area, who are working around the globe in the theme area to get together in the physical space, interact each other, discuss several research issues and to introduce new innovations. The ICLAA 2025 is expected to stimulate research and benefit the young scholars from the interaction with leading linear algebraists. The physical participation in the conference will be creating an environment for experts and young scholars to exchange ideas, and to initiate collaborations and professional partnerships. Besides organizing invited talks from eminent speakers, organizers invite the participants to present their research work in the sessions of contributory talks.

Preconference workshop; IWSMGA 2025

Preconference workshop `International Workshop on Special Matrices, Graphs, and Applications’ will be held during December 10-16, 2025. The workshop is aimed at training young students, scholars, and faculty interested in the focus area of special matrices, graphs, and their applications. Sessions in the workshop include lectures, tutorials and discussion on recent research trends in special matrices and graphs by Abraham Berman, Stephen J Kirkland, Simo Puntanen, T E S Raghavan, S K Neogy, Sukanta Pati, Sivaramakrishnan Sivasubramanian and other leading personalities of the subject. Conference participants may seek participation in the workshop. The number of participants in the workshop is restricted. Participants who could gain the benefit from the course will be chosen as the applications arrive. The course conducted in the workshop will carry a credit of two.

For more details about the workshop, please visit: IWSMGA 2025.

Workshop and conference are organized by the CARAMS, MAHE in association with Department of Mathematics, MIT, MAHE and Department of Data Science, PSPH, MAHE.

Welcoming and Inclusiveness Statement

Centre for Advanced Research in Applied Mathematics and Statistics (CARAMS) was established in September 2018 at Manipal Academy of Higher Education, Manipal. MAHE, Manipal, an institution of eminence, is a deemed to be university and comprised of students from fifty-seven nations around the globe. CARAMS has been established with the objectives of fostering advanced research and training in Mathematics, Statistics, and their applications. Also, it organizes national and international workshops and conferences in the focus area which help the promotion of Mathematics and Statistics in the university and in the region.

CARAMS, MAHE offers a welcoming and inclusive environment to all participants in its activities, including all its meetings and conferences, irrespective of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, and field of expertise.

CARAMS strives to foster an apolitical atmosphere that encourages the free expression and exchange of ideas, free from all forms of discrimination, harassment, and retaliation, and that is welcoming and safe to all members and to those who participate in its activities. If you feel harassed or unsafe in any way because of the actions, words, pictures, or expressions of any other member or participant, we encourage you to bring this to the attention of the CARAMS or MAHE authority.