Electrical Engineer | Neurotechnology Researcher
Riya Jain
I build next-generation neurotechnology through hardware engineering, machine learning, and neuroscience.
About Me
Building across disciplines
I began my career in electrical engineering, designing digital hardware and semiconductor systems. Through these experiences, I developed a foundation in hardware architecture, RTL design, and efficient computing systems.
Driven by an interest in applying engineering principles to biological systems, my work expanded into neural engineering, EEG signal processing, machine learning, and wearable neurotechnology through research and independent projects.
Today, I am focused on building neurotechnology systems that combine robust hardware, intelligent algorithms, and real-world applications.
Research & Engineering Interests
Hardware that understands the brain
Hardware Systems Design
Wearable Neurotechnology
Machine Learning
Neural Signal Processing
Brain–Computer Interfaces
Embedded Biomedical Systems
Computational Neuroscience
Selected Publications
Meta-Learning for BCI: A Promising New Direction
A review of how meta-learning approaches could address cross-subject variability and calibration time in EEG-based brain-computer interfaces.
Approximate Karatsuba Multiplier for Error-Resilient Applications
A multiplier architecture that trades a small accuracy loss for lower power and area.
Featured Project
Wearable EEG Sensing Platform
A custom-built wearable platform for EEG and physiological signal acquisition.
This project explores the development of a wearable neurotechnology platform integrating custom electronics, embedded systems, and wireless communication for multimodal biosignal acquisition.
View Project →Let's Connect