International Conference on Environment and Medical Statistics 2020 (ICEMS 2020)

te speakers, six from universities of the USA, and one from an Australian university. The conference was also enriched with 6 invited speeches of outstanding researchers, three from universities of USA, and three from local universities. In addition to the plenary, keynote, and invited talks, the ICEMS 2020 had around 40 contributed papers from various national and international universities, research institutions and industries. These presentations had been categorized into two themes namely Environmental Statistics and Medical Statistics. Oral presentations were held in 12 technical sessions.

There was a separate session for the local undergraduates to present their abstracts which highlights their research work. Students highly benefited from this showcase by gaining experience in public communication and interacting with the judges and guests. These presentations were evaluated by four eminent professors attended to the conference for the best oral presentation award. The foreign participants highly commended on the quality of the projects being undertaken by the local undergraduates and the confidence in the presentations.

The technical sessions of the conference were followed by the Conference Dinner on 9th January 2020 which was held at the Hotel Topaz which included a cultural variety event. Over 60 participants joined for the conference dinner, including renowned international and local scientists and scholars.

This conference was an outstanding opportunity to bring forth recent developments in the field of Environmental and Medical statistics and related areas. It also brought together leading academics, scientists, research scholars and research students to exchange and share their experiences and research findings. It also provided a platform to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered, and solutions adopted in the fields of Environmental and Medical Statistics.