Areas of Expertise: Wavelets-based Signal Processing, Distributed Computing, Machine Learning, Mathematical Modelling, Internet of Things

Dr. Dixon Vimalajeewa earned his PhD in Computer Science from South-East Technological University (SETU), Ireland, in the year 2020. He has been a part of the UNL statistics department since August 2023. Prior to joining UNL, he held the position of a postdoctoral research associate at the Department of Statistics, Texas A&M University, under the guidance of Dr. Brani Vidakovic, during the period of 2021 to 2023. Additionally, he also contributed as a postdoctoral researcher at the Walton Institute, Ireland, under the supervision of Dr. Sasitharan Balasubramaniam, from 2020 to 2021.

Dr. Vimalajeewa's primary research focus revolves around the simplification of intricate data, mathematical modeling, and the application of data analysis platforms. His keen interest lies in harnessing the capabilities of machine learning tools to devise adaptable and scalable methodologies. These methodologies are not only tailored for addressing complexities in real-world scenarios but also possess robust theoretical foundations and dependable statistical assurances. The scientific questions that drive his methodological pursuits are driven primarily by applications in agriculture, healthcare, and biomedicine that involve complex and unstructured data.