​Rajadurai is interested in the study of remotely sensing harmful algal blooms (HABs) in the Red Sea. He has developed a new remote sensing model combining satellite observations with available in-situ datasets, to detect and investigate the different HAB species in the Red Sea. He is currently focusing on studying the seasonality and interannual variability of HABs in the Red Sea over the last two decades. Rajadurai's future research plans will be directed towards developing using remote sensing techniques to detect coral reef bleaching events in the Red Sea and study the occurrences of these events in relation to the global and regional climatic conditions.

1. Gokul EA, Raitsos DE, Brewin RJ, Hoteit I. A singular value decomposition approach for
   detecting and delineating harmful algal blooms in the Red Sea. Frontiers in Remote Sensing.
   2023 Jan 19; 4:944615.
2. Gokul E.A, Raitsos DE, Gittings JA, Hoteit I. Developing an atlas of harmful algal blooms
   in the red sea: Linkages to local aquaculture. Remote Sensing. 2020 Jan;12(22):3695.
3. 3. Gokul, E.A , Raitsos DE, Gittings JA, Alkawri A, Hoteit I. Remotely sensing harmful algal
   blooms in the Red Sea. PloS one. 2019;14(4).
4. Gokul, E. A., & Shanmugam, P. An optical system for detecting and describing major
   algal blooms in coastal and oceanic waters around India. Journal of Geophysical
   Research: Oceans. 2016 doi: 10.1002/2015JC011604
5. Gokul, E.A., P. Shanmugam, V. Sundarabalan, A. Sahay, and P. Chauhan. Modelling the
   inherent optical properties and estimating the constituents ׳ concentrations in turbid and
   eutrophic waters. Cont. Shelf Res. 84, 120–138. 2014. doi:10.1016/j.csr.2014.05.013
   

• 2018 - 2024, ​PhD Student Earth Sciences and Engineering, KAUST
• M.S., Ocean Engineering, IIT Madras, Chennai, India, 2017

• ​Physical Science and Engineering Division (PSE)