From Wikipedia, the free encyclopedia
| Pratik Kamble | |
|---|---|
Kamble in 2025
|
|
| Occupation | Computer Scientist, Researcher |
| Education |
Binghamton University (PhD) University of Florida (MS) University of Pune (BE) |
| Known for |
EEG-based User Activity System (Patent) AI in Mental Health |
| Website | pratikkamble.com |
Pratik M. Kamble is a computer scientist and doctoral researcher based in Binghamton, New York. He is currently a PhD student at the State University of New York at Binghamton. Kamble is known for his work in human-centered computing, specifically the application of Artificial Intelligence to mental health and EEG-based system controls.[1]
He holds a patent for an electroencephalogram (EEG) based user activity system and has previously worked as a Software Engineer at Vibrent Health, contributing to the NIH's All of Us Research Program.[2]
Kamble earned his Bachelor of Engineering (B.E.) in Computer Engineering from the University of Pune (2019). He later moved to the United States to pursue a Master of Science in Computer Science at the University of Florida, graduating with a 3.8 GPA in 2023.
As of 2025, he is pursuing his Doctor of Philosophy (PhD) in Computer Science at Binghamton University.
Kamble's research focuses on the intersection of machine learning, secure systems, and user experience.
In 2024, Kamble was issued a patent for "A System and a Method for Performing a User Activity Using an Electroencephalogram (EEG)." The system utilizes Recurrent Neural Networks (RNN) to classify brain signals for Brain-Computer Interface (BCI) applications.[3]
During his time at the University of Florida, Kamble researched AI-powered web platforms designed to support student mental health. His work on nature-based mindfulness tools was published in the Journal of Hospitality & Tourism Education.[4]
Prior to his doctoral studies, Kamble worked as a Software Engineer at Vibrent Health in Fairfax, Virginia. He played a key role in the All of Us Research Program (NIH), where he engineered bulk message interfaces using Apache Kafka and optimized system architecture.[5]
He also served as a Java Developer intern at Vignet Inc., where he developed microservices for the Precision Medicine Research Platform.