Kanike Raghavendra Prasad Babu.Dr
Area of Expertise
Atmospheric Science, Data Science and Electronics
Research Interests
Data science and machine learning applications in climate science
Academic_Qualification
Ph.D. in Atmospheric Science (ES)
Professional Experience
At CSIR-4PI, I conduct interdisciplinary research on climate science and atmospheric processes using machine learning and advanced data science techniques. I work with complex datasets, including observational, reanalysis, and satellite remote sensing data, with a focus on land surface processes. I design and implement full-stack data science solutions for climate and weather forecasting.
Publication (ORCID ID/ Googal Scholar ID/ IRINS ID/ Vidwan ID
Awards and Honors
1. Honored with an appointment as Assistant Professor, AcSIR
2. Recipient of UGC-JRF (2017), later upgraded to UGC-SRF
Patents
Nil
Research Group
Interdisciplinary Data Research Division (IDRD)
