Kulasooriyage Shanthi Saubhagya is a PhD candidate at the Department of Statistics, University of Colombo, Sri Lanka. In 2017, she graduated with a Bachelor of Science (Special) in Industrial Statistics from the same university. After that, she worked in academia for nearly 3 years. Currently, she is working as an assistant research officer attached to the Parliament Research Division (PRD) in Sri Lanka. Her research interests are machine learning and deep learning, applied statistics, optimization and time series analysis. She is also a lifetime member of the Sri Lanka Association for the Advancement of Science (SLAAS).

Chandima Dilrukshi Tilakaratne holds a BSc (1990) and MSc (in Applied Statistics, 1996) with qualifications from the University of Colombo, Sri Lanka, and MIT (by Research, 2004), as well as a PhD (2008) from the University of Ballarat, Australia. She joined the Department of Statistics & Computer Science (currently the Department of Statistics), University of Colombo in 1995. She was promoted to the post of Professor in the Department of Statistics in 2018 and appointed as the Professor of Statistics (Chair) of the same department in September 2022. She has more than 28 years of experience in academic teaching and research.  Her research interests include predictive analytics, modeling time series data, spatiotemporal data analysis, and data driven modeling. She is a fellow of the Institute of Applied Statistics, Sri Lanka, and a member of the International Institute of Forecasters. She is a winner of the University of Colombo Collaborative Research Grant in 2012 and 2019.

Gamage Pemantha Lakraj joined the Department of Statistics, University of Colombo, Sri Lanka, as a probationary lecturer in 2009, and he is currently working as a lecturer in the same department. He completed his PhD in Mathematics with a concentration in Statistics at Texas Tech University in the fall of 2015 and an MSc from the same institution in 2012. Previously, he received a BSc in Statistics from the University of Colombo in 2007. Dr. Lakraj’s dissertation research was in smoothed functional principal component analysis with a focus on asymptotic theory on Hilbert space. In addition to expanding upon those projects, his current research interests include mathematical statistics, multivariate methods, and time series data analysis.

Musa Mammadov is a Senior Lecturer in Data Science at the School of IT, Deakin University, Australia. He holds a PhD in Mathematics and IT from Federation University, Australia, and a PhD in Mathematics from St. Petersburg State University, Russia. His research interests are in optimization and data mining with publications in data analysis, optimal control theory, optimization and related topics, and numerical methods in global optimization and various applications. He has more than 150 refereed research articles that can be found at: Google Scholar:  https://scholar.google.com.au/citations?user=7RH14lcAAAAJ&hl=en Research Gate:   https://www.researchgate.net/profile/Musa_Mammadov2 Scopus: https://www.scopus.com/authid/detail.uri?authorId=15127216400