The growing role of artificial intelligence in research took centre stage at a five-day workshop jointly organised by the Faculty of Information Science and Technology (FIST) and SRM Institute of Science and Technology (SRMIST), Ramapuram Campus, Chennai, India. Titled “Modern Statistical Techniques and AI for Research Data Analysis”, the workshop was conducted in hybrid format and focused on the application of statistical techniques, data visualisation, biostatistics and artificial intelligence in research.
The programme featured academic and research experts from MMU, SRMIST and Prince Sultan Military College of Health Sciences (PSMCHS), who shared practical approaches to analysing and interpreting research data. Among the sessions, Dr. Siti Nurfarah Ain from FIST explored the importance of preserving biological meaning throughout the data analysis process, while Ts. Dr. Neo Han Foon demonstrated how effective visualisation can turn complex data into meaningful research narratives. Speakers from SRMIST and PSMCHS also covered survival analysis using R, biostatistics in modern research and the application of AI in research.
In his welcoming remarks, Ts. Dr. Sumendra Yogarayan, Deputy Dean of Postgraduate and Collaboration, FIST, highlighted the value of collaborative platforms in connecting academics and researchers across institutions and countries. He encouraged participants to exchange ideas, build research connections and explore opportunities for future collaboration. Dr. Sivanesan Dhandayuthapani, Deputy Dean of Research, Faculty of Liberal Arts and Business Studies (FLABS), SRMIST, Ramapuram Campus, similarly highlighted the role of international academic partnerships in promoting research, knowledge exchange and interdisciplinary engagement.
The workshop provided a platform for academics and research scholars to strengthen their understanding of data-driven research while exchanging knowledge across disciplines and institutions. The joint initiative further strengthened the academic relationship between MMU and SRMIST and created opportunities for continued engagement in research, knowledge sharing and the application of AI and statistical methods.
