Alok is a part-time Phd student since 2011 at the department of Atmospheric and Planetary Science, Hampton University, USA. He received his Bachelor degree in Electronics Engineering in 2003 from Tribhuvan University, Nepal and Master of Science degree in Electrical Engineering in 2010 from South Dakota State University (SDSU), USA.  He has a year of experience working as a lecturer in an engineering college and several years of experience working as a Sr. system engineer for telecommunication projects. He developed his interest in the remote sensing area while having his Master Degree at SDSU. He worked there as a graduate research assistant and imaging engineer, developing algorithms to perform absolute and cross-calibration of various satellite sensors to evaluate their performance, including radiometric characterization. His familiarization with satellite instruments includes broadband, multi-spectral, as well as hyper spectral sensors, including pushbroom and whiskbroom instruments.

Further, he is currently working as a Research Scientist at SSAI, contractor for NASA Langley Research Center. He is involved in reprocessing the climate & radiation datasets provided by ERBE (Earth Radiation Budget Experiment) instruments, particularly ERBE scanner and non scanner, including their calibrations. These instruments primarily measured the solar radiation reflected from the Earth including terrestrial radiation emitted by the Earth since 1984 to 1999 which assists in developing the Earth radiation budget. The study and accurate estimate of these radiation budgets are important to understand radiative forcing causing the global climate change for the Earth.  The primary objective of this reprocessing effort is to improve the accuracy of climate and radiation data provided by ERBE instruments and develop a consistent longterm data records, comparable to that provided by more recent CERES instruments since 1999. The consistent longterm data record of the Earth’s radiation budget will assist in better understanding of its effect to climate change and improve the prediction models.