SRIP 2026

Program Timeline

SRIP 2026 PROGRAM TIMELINE
November 10, 2025	Program announcement. Projects solicited from faculty.
November 26, 2025	Project proposals are due from the faculty.
December 11, 2025	Projects are posted on the website. Intern application opens.
December 21, 2025	Intern application due at 11:59 PM.
December 22, 2025	Intern application/information sent to faculty.
January/first week in February	Faculty interviews applicants (optional).
Early February 2026 (Feb 2-6)	Deadline for faculty to select students.
Spring 2026	Students work 10 hours/week in faculty labs and enroll in 2–4 units of ECE 199/299 research credit courses while starting their projects
Summer 2026	Students work full-time in the faculty lab.
PROGRAM DATES
June 29 - September 5, 2026

Program Application

Application Information

Students may apply for up to 4 different projects regardless of faculty.
SRIP is a full-time commitment (summer), and students are expected not to accept any other employment for the duration of the program.

Eligibility

Only current UCSD ECE students are eligible to apply.
Students graduating WI26 and SP26 are not eligible to apply to the program.
See FAQs for more information about eligibility and program requirements.

SRIP 2026 INTERN APPLICATION FORM

Faculty Projects

FACULTY NAME	PROJECT TITLE
Cosman, Pamela	Disease Detection and Analysis in Dental Images with Integrated Image Compression Techniques
Le, Hanh-Phuc	Isolated power converter Circuits and Systems for Brain Stimulation Integrated power management
Lin, Bill	AI datacenter networks AI accelerators for neural ODEs
Liu, Zhaowei	Nanophotonics design for light emission and sensing
Lo, Yuhwa	AI model for medical diagnostics Biophotonic imaging system
Mercier, Patrick	Ultra-low-power wireless sensing circuits
Morris, Karcher	Engineering Tools for Imagination Medical Device Engineering and Translation
Nguyen, Truong	Dexterous Hand and Wearable Robot Design & Simulation for Tool-Use Policy Learning
Poveda, Jorge	Pipelines for Dynamic Visualization in Complex Algorithms Coordination and Control of Multi-Agent Mobile Robots Deception and Collusion Dynamic Pricing: An Algorithmic
Sahay, Rajeev	Secure Deep Learning for Wireless Communications
Schurgers, Curt	Engineers for Exploration
Shi, Yuanyuan	Robotic Teleoperation with Neural Operator–Based Delay Compensation PDEControlGym: Benchmarking Reinforcement learning for control of PDEs
Turakhia, Yatish	GPU Acceleration of Bioinformatics Algorithms AI for Genomic Applications Large-scale Human Pangenomics
Xie, Pengtao	Measuring and Improving Counterfactual Reasoning Capability of Process Reward Models Few-Shot Personalization of Generative Models by Bi-Level Optimization Mixture-of-Agents for Enhanced Text-to-Image Generation Enhancing Answer Diversity via PPO/GRPO for Stronger Test-Time Aggregation Planning Experiments for a Biomedical Agent with LLM
Zhang, Xinyu	Generative Agents for Augmenting Online Education A Software Radio Platform for Joint Communications and Sensing in 6G Cellular Networks In-Home Pet vs. Human Activity Disambiguation Using Radar Sensors
Zheng, Yang	Accelerated algorithms for smooth and convex optimization Nonconvex Optimization for Optimal Control Prediction performance comparison between input-affinity preserved nonlinear structure and Koopman linear embedding Model-free Prediction with Online Convex Optimization Online Learning for Adaptive Prediction and Control