A computer science doctoral student at the 色花堂鈥檚 College of Natural Sciences and Mathematics is honored for his contributions to artificial intelligence (AI).
Rabimba Karanjai was recently named to the Google Cloud Research Innovators Program, where he is the only student in his cohort. He also received the Academic Research Award from the Sui Foundation for the third consecutive year, an achievement that previously only Cornell University had achieved.
Karanjai, who originally studied electrical engineering, said he was fascinated by computer science, saying coding allowed him more creativity. He turned his focus to AI reasoning and code generation, where he aims to make AI reliable and understandable.
Research to Recognition
Karanjai was nominated for the Google Cohort while collaborating with a researcher at Google. He is the only student in the group. 鈥淚 became a cloud research innovator,鈥� said Karanjai. 鈥淚t opened up several research credits for me and allowed me to ask resources at Google for advice when studying my work.鈥� In addition to the cohort, Karanjai is a Google Development Expert, who specializes in AI.
Karanjai鈥檚 exploration was also selected for the Sui Foundation鈥檚 Academic Research Award for a third straight year, an achievement only achieved by Cornell University.
Research for each grant works with the next. 鈥淲e created an AI model which can take an existing smart contract in a defined programming language and translate a different one to ours,鈥� said Karanjai. 鈥淚n the third grant, we proposed a more secure aspect where we build a tool that can translate the accuracy of the code that you鈥檙e writing. It will suggest patches to make it work better.鈥�
Motivation Beyond the Awards
Karanjai plans to keep his research in academia, with plans to become a professor. 鈥淭hese accolades boosted my confidence in what I鈥檓 doing,鈥� said Karanjai. 鈥淚t鈥檚 been awesome for me to give talks and steered me toward becoming a professor.鈥�
He hopes to apply and extend his research to other fields, including biomedical and
legal domains.
AI might not always be correct, something Karanjai hopes fix. 鈥淚t may fail two times
out of ten. Our research will showcase that point and will guarantee it when it works.鈥�