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Priyam M

- Research Program Mentor

PhD candidate at University of Illinois at Urbana Champaign (UIUC)


Artificial Intelligence, Computer Vision, Natural Language Processing, Neuroscience


Hey everyone! My name is Priyam and I am currently a PhD student at the University of Illinois Urbana-Champaign in Electrical Engineering. More specifically I am studying applications of Artificial Intelligence in Speech Processing! I am essentially a Neuroscientist and Statistician that has fallen in love with AI and I aim to build Machine Learning Architectures that better mimic the human learning process. My knowledge has become a toolbox and I am able to apply these skills to bring state-of-the-art methods to problems nobody has thought of before. Outside of my research I am an avid wildlife photographer. I spend most of my time hiding in bushes waiting for a critter to come by so I can take incredible photos of them. Photography was my main motivation initially to dig into AI and I hope that I can continue to build tools that allow me to grow my Art!

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Multimodal Artificial Intelligence

Most Deep Learning models are task oriented and can specialize in one thing. This could be Image Classification, Text Generation, etc... The problem with this is the human mind doesn't work as a set of discrete processes but rather a large cohesive system. Multimodal AI is an advanced area where our goal is to see how we can merge together Images, Text, and Sound all together in a single model to enable even more human-like capabilities in the future.

Automatic Speech Recognition

Voice to Text is an important tool needed especially for users with disabilities. Often to interact with technology, people have no option but to give commands or transcribe their speech, meaning it is crucial to build a robust speech recognition system. There are extremely advanced methods for this utilizing Transformers, but first learning to build such a system and testing it on different use cases may offer some intuition for future work.

Geospatial AI

We have had consistent and accurate data collected about the Earth's surface for more than 3 decades now, but only in this new era of Big-Data are we able to leverage it. Understanding the qualities of the earths surface, detecting specific environmental features, and classifying the land use of different parts of the earths surface, is crucial to do in realtime. Computer vision has offered many techniques that can be explored to perform some of these tasks.

Coding skills


Languages I know


Teaching experience

At the University of Illinois Urbana-Champaign we have an organization here called the National Center for SuperComputing Applications. I specifically work in their Center for AI Innovation on both my personal research as well as pushing education. Every summer we hold a program that invites a handful of motivated undergraduates to do research with a professor or researcher. My role is to first, teach the students everything they need to know about Machine Learning and Deep Learning and then manage their projects over the summer to ensure it is the best that it can be!


Work experience

National Center for SuperComputing Applications (2022 - Current)
Graduate Research Assistant
University of Illinois Urbana-Champaign Civil and Environmental Engineering Department (2021 - Current)
Graduate Research Assistant
University of Illinois Urbana-Champaign Civil and Environmental Engineering Department (2021 - Current)
Graduate Teaching Assistant
Valkyrie AI (2020 - 2020)
Associate Data Scientist


Emory University
BS Bachelor of Science (2020)
Neuroscience and Statistics
University of Illinois at Urbana Champaign (UIUC)
MS Master of Science
University of Illinois at Urbana Champaign (UIUC)
PhD Doctor of Philosophy candidate
Electrical Engineering

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