The Research Experiences for Undergraduates (REU) program allows EE undergraduates to work with faculty members and participate in laboratory research.

The program occurs annually and matches faculty research projects with undergraduate student researchers. Students commit 10 weeks to the program. During this time they do research with their labs, attend weekly seminars, and receive a stipend.

The 2024 REU program included projects from EE Faculty:

Students' final presentations are attended by Stanford faculty and students. This provides opportunities for even more collaborative research. 

Please join us in congratulating all undergraduate researchers on their important contributions to research and the EE community!

Poster Titles (and 2024’s cohort of student researchers)

1. Improving Dynamical Systems Benchmarking: Extending Libraries and Enhancing OOD Capabilities (Hadil Owda)
2. Modeling Chaos: Advancing Benchmarking for Data-Driven Dynamical Systems (Lauren McLane)
3. Spotting Spatio-Temporal Sequences with Ferroelectric Nanodendrites (Milo Eirew)
4. A Biological Neuron can be Selective to the Order in which it Receives Inputs (Niel Ok)
5. 13.56MHz Class-E Power Amplifier for an Inductively Heated Graphite Fluidized Bed (Rachel Hollett)
6. Designing a Network-on-Chip for Nanodendrite Search (Sally Lee)
7. From Chaos to Clarity: Quantifying Dynamical System Complexity for Scalable AI Training (Victor Huynh, Vincent Thai)
8. ASPEN Chip Testing (Abdalazeez Jerby)
9. Memory Technology Optimization through Hardware Accelerator Co-Design (Andrew Woen)
10. Utilizing OpenROAD to obtain Parasitic Attributes of Chips Designs (Da-Hee Kim)
11. Generative AI Agents for RTL Design (Eric Liu)
12. Numerical Methods and Differential Algebraic Equations (Eugene Oh)
13. Kerberos: Bridging the Gap Between Performance and Power Efficiency for Augmented Reality Applications (Mitch Peterson, Stan Lee)
14. Writing and Measuring Efficient Dense and Sparse Machine Learning Applications on Coarse-Grained Reconfigurable Arrays (Rupert Lu)
15. Real-Time Guitar Tone Emulation Using Neural Networks (Sawyer Lai, Ryota Sato)
16. Reducing Instability in Electrical Stimulation of Retinal Ganglion Cells for Vision Restoration (Ansh Kharbanda)
17. Optically Probing Energy Storage Materials (Evelyn Nutt)
18. Predicting Transistor Mobility (Harmon Gault) 
19. Optimizing Signal-to-Noise Ratios for Enhanced Subsurface Ice Mapping in Radio Glaciology (Adam Alhousiki, Crista Olan)
20. Real-Time Neural Light Field Holography (Ethan Boneh)
21. Antenna Redesign for Antarctic Ice Sheet Sounding (Gilberto Tovar)
22. Wireless Heartbeat Sensing: A Radar System for Non-Contact Pulse Measurement in MRI (Hemal Arora)
23. Building and Optimizing RAG for LLM Pipeline Serving Systems (Laasya Konidala)
24. Group-Delay-Compensating Multi-Mode Fibers for Long-Haul Links (Nika Zahedi)
25. Short Range Microwave Test Bed for MRI Machines (Paul Calvo)
26. Enhancing a Radar System (Sameeh Maayah)
27. On the Shaping and Continuous Approximation of High Dimensional Lattice Codes (Shannon Fan)
28. Efficient Universal Codes: Lowering MRI Data Transmission Rates (Teresa Zhang)

Photo credit to Professor Joseph M. Kahn