Archana Venkataraman
2026 REU Project: Explainable foundation model framework for Autism characterization from EEG signals. Professor Venkataraman’s research integrates medical imaging, artificial intelligence, and clinical neuroscience to study brain dysfunction. As PI of the Neural Systems Analysis Laboratory, she develops computational models that combine hypothesis-driven neuroscience with data-driven learning to produce interpretable, predictive insights. Her work spans […]
Irving Bigio
2026 REU Project: Coming Soon The focus of Irving Bigio’s Biomedical Optics Lab is the development of minimally-invasive research-oriented and clinical (both diagnostic and therapeutic) tools, based on optical technologies. Applications span the breadth of the human body. The lab’s projects include: Optical Biopsy: we develop tools to measure non-invasively the reflectance spectrum of biological […]
Arslan Riaz
Previous REU/RET Projects Include: Real-Time Integrated ORBGRAND-Based Transceiver (RIOT) (REU, 2025)
Akshaya Bali
Akshaya Bali is a PhD Candidate working in the Wise Circuits Lab. Previous REU/RET Projects Include: Real-Time Integrated ORBGRAND-Based Transceiver (RIOT) (REU, 2025)
Rabia Tugce Yazicigil
Dr. Rabia Tugce Yazicigil is currently an Associate Professor of Electrical and Computer Engineering Department at Boston University. She is leading the Wireless Integrated Systems and Extreme Circuits (WISE-Circuits) Laboratory since August 2018. Rabia was a Postdoctoral Research Associate in the EECS Department of MIT working with Professor Anantha P. Chandrakasan from March 2016 to August 2018. Previous REU/RET […]
Weiru Fan
Previous REU/RET Projects include: How to Use Machine Learning to Automate Aligning Optical Components in Experiments? (REU, 2025)
Tianyu Wang
Previous REU/RET Projects Include: How to Use Machine Learning to Automate Aligning Optical Components in Experiments? (REU, 2025)
Real-Time Integrated ORBGRAND-Based Transceiver (RIOT)
Mentors Project Description With the rapid advancements in high-speed computing and digital signal processing for the Internet of Things (IoT), the volume of data transmitted and received across multiple devices has increased exponentially. However, received data is often susceptible to corruption due to noise, necessitating the use of efficient decoding techniques to mitigate its effects […]
How to Use Machine Learning to Automate Aligning Optical Components in Experiments
Mentors Project Description The goal of this project is to develop a machine learning-based approach for automated laser beam alignment using mirrors. By leveraging optical simulations, we aim to train algorithms that can optimize mirror adjustments to achieve precise beam positioning. This project will explore various ML techniques, such as reinforcement learning and gradient-based optimization […]
Chuan Li
Previous REU/RET Projects include: Imaging Cardiac Organoids with Laser Speckle (2024)