Ragul Vijayakumar Nithya

Engineering Scientist and Aspiring Neuroscientist

About Me

I'm Ragul Vijayakumar Nithya, a sophomore at Penn State University – University Park, majoring in Engineering Science with a concentration in Neural Engineering and a planned minor in Neuroscience. My journey has been shaped by an early passion for building things that matter — especially at the intersection of engineering, medicine, and human impact.

As the Vice President of the PSU Quantum Student Society, I lead outreach and education efforts that bring together diverse disciplines like physics, bioengineering, and computing. I’m also an undergraduate researcher at the BioPhotonics and Ultrasound Imaging Lab, working on ultrasound-based brain tumor imaging and biomedical signal processing using tools like Python, C++, MATLAB, and OpenCV.

My interests include neural interfaces, biomedical imaging, quantum computing, and translational healthcare systems. I'm a finalist in the Nittany AI Challenge for co-developing ECGenius, a portable, IoT-powered ECG device designed to bring real-time heart monitoring to underserved communities — an extension of my award-winning high school innovation that earned me the State Best Child Award in Science.

I’ve worn many hats: research assistant, student leader, math learning assistant, sustainability advocate, STEM outreach volunteer, and solo survivor of winter breaks on campus. But at the heart of it all, I’m driven by a simple goal: to build scalable, meaningful technologies that improve lives.

Let’s connect if you're working on something at the edge of engineering, medicine, or biology — or if you're just curious about how quantum theory and neural engineering might shape the future.

Education

Bachelor of Science in Engineering Science

The Pennsylvania State University, University Park

I study brains with circuits, code, and chaos. Engineering Science lets me blend physics, biology, and math into one gloriously complex degree where I get to decode neural signals, design biomedical tech, and pretend I understand quantum stuff — all before lunch. It’s like being a tech-savvy neuroscientist... minus the lab coat.


  • Neural Engineering Track
  • Aug 2024 - May 2028 (Expected)

Technical Expertise

C++ Python MATLAB Biomedical Imaging Ultrasound Brain Imaging Neural Engineering Computational Neuroscience Biomedical Signal Processing Medical Device Prototyping Embedded Systems Arduino Research Support Experimental Analysis Translational Health Technology Interdisciplinary Collaboration STEM Outreach Peer Tutoring Science Communication Quantum Computing Life Sciences Innovation in Healthcare Data Analysis Signal Processing Scientific Writing

Experience

Undergraduate Research Assistant

BioPhotonics and Ultrasound Imaging Laboratory | Feb 2025 - Present

  • Developing signal processing algorithms for ultrasound localization microscopy.
  • Contributing to research on brain tumor imaging using advanced ultrasound techniques.
  • Implementing image-based inference systems using Python, NumPy, and OpenCV.

Vice President

Quantum Student Society at Penn State | Apr 2025 - Present

  • Leading strategic outreach initiatives and educational programs.
  • Coordinating interdisciplinary seminars in quantum computing and physics.
  • Exploring applications of quantum principles in bioengineering and neural information processing.

Mathematics Learning Assistant

Eberly College of Science, Penn State | Jan 2025 - Present

  • Facilitated collaborative problem-solving sessions and guided students through core math concepts in calculus and algebra.
  • Supported classroom instruction by helping peers build confidence and clarity in mathematical thinking.
  • Improved student engagement by simplifying complex topics and creating a welcoming, peer-driven learning environment.

Organizations I'm a Part Of

Featured Projects

C.A.R.E. - Compact Affordable Real-time ECG

  • Designed and prototyped a low-cost, pocket-sized ECG device using the AD8232 chip and Bluetooth-enabled data transmission for real-time heart monitoring.
  • Developed signal filtering algorithms and Python-based data visualization tools to make ECG output more accessible and interpretable.
  • Focused on healthcare accessibility by optimizing the device for underserved communities, ensuring portability, usability, and clinical relevance.
  • Link to the repository
  • Certifications

    Diagnostic Imaging

    Yale University · Jul 2025

    Credential ID: FFA76HP0K8Y6

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    Basics of Quantum Information

    IBM · Jun 2025

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    Fundamentals of Quantum Algorithms

    IBM · Jun 2025

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    Neuroscience for Neuroimaging

    Johns Hopkins · May 2025

    Credential ID: E1Q7U9GWQOIY

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    Computational Neuroscience

    University of Washington · Apr 2025

    Credential ID: LZRIENMASKVP

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    Recognition & Awards

    Nittany AI Challenge Finalist

    2025 | Top 10 team out of 100+ competitors.

    Dean's Honors List

    Fall 2024 & Spring 2025.

    State Best Child Award

    2023 | Innovative Science - Government of Puducherry.

    Resume

    Want to know me more?

    Download my resume here