Research
My fascination is to develop simple and novel mathematical models to address interesting and challenging practical problems.
Current research interest is in Meta learning, Computer vision, Deep learning, Bayesian models, Privacy-aware learning
Patents
An AI based System to Automate MPI for Crack Detection on Metal Objects. Patent Journal No. 06/2025 published on February 07, 2025 at page no. 14132.
Patent Application No.: 202441057186. Date: 27 July 2024.
Inventors: textbf{Mrinal Das}, Yasar Moidutty, Sekhar Vasan. filed by IIT Palakkad and Sansera Engineering Ltd, Bangalore
Grants
Exploratory Research Grant (ERG) from IIT Palakkad on Meta-learning and Computer Vision, 2024.
Extended Grant from Sansera Engineering Ltd for Crack Detection using Automated Magnetic Particle Inspection through Artificial Intelligence, 2024.
Technology Development Grant from IPTIF, 2024
Grant from Sansera Engineering Ltd for Crack Detection using Automated Magnetic Particle Inspection through Artificial Intelligence, 2022.
IPTIF PhD fellowship grant, 2021 (later got converted to Technology Development grant in 2024)
SERB Start-up Research Grant (SRG) for Bayesian Deep Models for Efficient Privacy-Aware Learning in the Era of Big Data and Personalization, 2020
Start-up Research Grant from IIT Palakkad, 2017.
Other Activities
Florence Nightingale Data Science Talk Series, an online freely open to all monthly event where eminent researchers across the country talk to students and researchers.
Co-Organized Workshop on Deep Gen-AI for Molecule Exploration (DGAIME) 2024.
Active in spreading awareness among younger brains on data science. AI@School has been developed as one platform for this purpose.
A hands-on data science tutorial for beginners where unlike any other tutorial, learners can find useful codes, modify them and also execute to see the outcome. It is extremely easy to use and requires only a Google id and internet access to learn a wide range of data science tools and techniques.
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