**Mathematics of Computation and Data Science**

**Submission deadline: 2023-12-31**

**Section Collection Editors**

## Section Collection Information

Dear Colleagues,

In the digital age, data is the main source of information. If this information is handled correctly, it helps authorities make efficient inferences and apply them successfully. “Data Science” is recently recognized as an interdisciplinary field covering Mathematics, Computer Science, Statistics, Engineering and practically all technological disciplines by using data mining, data-bases, knowledge management, virtualization, high-performance and cloud computing to discover useful information from structured or unstructured data. “Data science” uses scientific algorithms, methods, systems, and processes to predict important information from large, structured or unstructured data, and focuses on applying knowledge learned from that data. Mathematics is very important in data science as mathematical concepts aid in identifying patterns and assists in creating algorithms. “Computational Mathematics” is the mathematics behind computations, especially computer algebra and algorithms. As it continues to advance the computational capabilities of modern computers, it also investigates the limit of what math-based computers can achieve and prove. In terms of data science, computational mathematics contributes to mathematical understanding of structured or unstructured data.

The main objective of this section is to play a leading role in establishing “Data Science” as an important discipline within "Computational Mathematics". However, considering its interdisciplinary structure and potential impact to scientific and technological development in almost all fields, the goal of the section is to publish research articles/reviews supporting the theoretical and algorithmic advancement of “Data Science” based on computational analysis. “Mathematics of Computation and Data Science” provides an opportunity for the interaction among mathematicians, including computer scientists, statisticians and other scientists interested in the computational aspects of data science in branches such as natural science, formal science and life science.

It is important to collect the experiences of "Mathematics of Computation and Data Science". Seminal research articles and reviews in this area of study are welcome. We look forward to receiving your contributions.

Dr. Hüseyin Kamacı

Prof. Zhang Wenpeng

Dr. Kifayat Ullah

Prof. Stojan Novica Radenovic

Dr. Rao Li

Dr. Qasim Ali Arain

Prof. Jianqiang Xie

Prof. Dr. Sadia Siddiqa

Prof. Dr. Ercan Çelik

Prof. Dr. Samarjeet Borah

Prof. Dr. Xianya Geng

Prof. Dr. Engin Özkan

Prof. Dr. Nan Gao

Prof. Dr. Wanyang Dai

Prof. Dr. P. S. K. Reddy

Prof. Dr. Rahul Kumar Maurya

Prof. Dr. Muhammad Nadeem

Prof. Dr. Addisu Woldemeskel Paulos

Prof. Dr. Homan Emadifar

Prof. Dr. Fazlollah Abbasi

Prof. Dr. Khursheed Alam

Prof. Dr. A. Ramesh Babu

Prof. Dr. Wenzhe Xu

Prof. Dr. Anshita Dhoot

Prof. Dr. Vidya K N

Prof. Dr. Zeynep ŞANLI

Prof. Dr. Vidya K N

Prof. Dr. Eng. HAMDAN Hani

Prof. Dr. M. Bala Prabhakar

Section Editors