Made in collaboration with
BITSxPostman Innovation Lab
University/Institute
Purdue University, USA
Research Domain
Chemical Engineering and Machine Learning
Duration
18 December - 30 June 2025 (tentative)
CGPA
8.18
Remote/Onsite
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Research Program
https://canli1.github.io/
Contact Permission
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Type of Internship
Off Campus Thesis
Prior Relevant Courses/Electives taken at BITS or online which were helpful. How it helped?
Machine learning, process design principles, optimization. They acted as pre-requisites for the project work
Prior Relevant Research Experience(PS 1/On-campus research/GSoC/Others)
Fault detection using machine learning (on-campus research)
For the application process did you require LORs? If yes , how many and from whom
No
What is the funding status of your RI/Thesis? If it was funded, what was the amount, and were any other perks provided (e.g., travel grant, on-campus housing)?
Not directly funded, partially funded by Air Liquide (amount not disclosed to me)
Did the research work lead to a publication? If yes, specify the name of the journal/conference and your role (author or co-author).
Research ongoing
How did your internship experience(s) aid your academic or professional growth, and what advice do you have for future BITSians applying?
It was a great addition to my resume and led me to explore a field of ML I did not realise existed before. I would recommend starting the application process early and negotiating stipend/funding early on. That is what hampered my onsite thesis.
Anything else that you would like to add that was not asked above
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