ECE Spring/Summer Research Internship Program 2022

Program Overview

The ECE Department is very pleased to announce the Spring/Summer Research Internship Program 2022 (SRIP). The ECE Summer Research Internship Program is an internship opportunity for all continuing ECE undergraduate and MS students to gain internship experience in the field. (You are not eligible if you are graduating WI22 or SP22)**

Students selected by ECE faculty members will have the opportunity to observe and participate 10hr/week in Spring 2022 and 40hr/week in Summer 2022 in the activities of a research group under the supervision of the PI or a member of his/her lab group. Internships will be awarded based on a candidate’s overall academic achievement and research interests. Research interns will be able to enroll in 2-4 units of ECE 199/299 in Spring 2022 and will receive a summer stipend in the amount of $5,000, paid in two installments. 

Program Timeline

The timeline for the program is as follows:

· October 15, 2021:  Program announcement. Projects solicited from faculty.

· November 12, 2021:  Project proposals DUE from faculty

· November 19, 2021: Projects posted on the website. Intern application opens.

· December 10, 2021: Intern application DUE at 11:59 PM

· December 14, 2021: Intern application/information sent to faculty

· Mid-December to Early January 2022:  Faculty interviews applicants.

· January 26, 2022:  Deadline for faculty select students

· Early February 2022:  All applicants are notified of their application status by the faculty members.

· Spring 2022:  Students work 10hr/week in the faculty lab and enroll in 4 units of ECE 199/299 research credit courses and start working on projects.

· Summer 2022:  Students work full time in the faculty lab.

Program Dates

Program Dates: June 27th ( Start of SU1) - September 2nd (End of SU2)

Stipend Disbursement Date: 

  • 1st installment will be awarded beginning of August
  • 2nd installment will be awarded beginning of September

Orientation Date: June 23, 2022

SRIP 2022 Orientation Slides

Summer Research Conference

The Summer Research Conference is organized by the Undergraduate Research Hub. Undergraduate interns are required to participate. Graduate students who participate in a lab group with undergraduate students can also participate in the conference. See ECE-SRIP @ SRC for more details about the program and other resources.





    An, Cheolhong

    1. Real-time Physical based rendering for medical images
    2. Deep neural network for Neurodegeneration Syndrome
    3. Real-time cell classification 
    4. Optical Coherence Tomography Simulation
    Antipa, Nick
    1. Data-driven microscope design
    2. Next generation tools for optical function neuroimaging
    3. Backscatter holography for oceanographic imaging
    Atanasov, Nikolay
    1. Python Robotics
    2. Inverse Reinforcement Learning 
    3. Hardware Design for Autonomous Quadrotor Robots
    4. Multi-agent Simultaneous Localization and Mapping
    5. Semantic Segmentation and Terrain Mapping
    Bandaru, Prab
    1. Thermal modeling of nanoscale materials and devices
    Bharadia, Dinesh
    1. Smartphone Enabled Ubiquitous Indoor Navigation and Mapping
    2. Robust SLAM for Autonomous System by combining light-based sensing (Lidar, Camera) and RF-based sensing
    3. Automotive radar perception in bad weather
    4. Intelligent Nonlinear communications 
    5. In-Body Localization
    6. Sensing Driven Communication 
    7. SweepSense 2.0
    8. Securing your communication with IoT devices using device Identification 
    9. Bespoke FPGA Based Communication Testbed
    10. Wireless Virtual Reality Over 5G Testbed
    11. Smart Radio: Simultaneous Communication and Sensing
    12. Smart Surfaces enabling both communication and sensing


    Cosman, Pamela C


    1. Eye-tracking for Reading Informational Text
    2. Mobile app for assisting in physical therapy
    3. VR training for conversational engagement
    Dey, Sujit
    1. Virtual Physical Therapy
    2. Behavioral Coaching and Guidance for People with ASD
    3. Driver’s State of Mind and Intent Detection using Multiple Sensors and Machine Learning
    4. Creating a Digital Twin of UCSD’s CV2X Testbed
    5. Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure
    6. Explaining Wireless Protocols Learned via Reinforcement Learning
    Gerstoft, Peter
    1. Acoustic room characterization and speaker tracking with Google voice
    2. Machine Learning for radio frequencies

    Gessner, Rick

    1. Utilizing Machine Learning to Enhance a Social Learning Platform
    Gudem, Prasad
    1. Analog/RF Integrated Circuit Design
    2. Study of aerodynamics of boomerangs and drones using wireless position location
    Hall, Drew
    1. IC Block Level Design
    2. Padring Synthesis Script
    3. Machine-Learning for Biomarker Identification
    Kang, Mingu
    1. Deep neural network accelerator with analog switched-capacitors 
    2. Natural language processing under resource constraints

    Khoshabeh, Ramsin & Mark Liu

    1. MPC Racer
    2. Enhanced Access Control System
    3. Intelligent Low-cost Consumer-Grade Drone

    Kuzum, Duygu

    1. Nonvolatile memory devices for neuromorphic computing
    2. Novel electrooptical sensors for detecting brain signals
    Le, Hanh-Phuc
    1. Integrated power supply for soft robotics
    Lerman, Imanuel
    1. Neural Engineering Device Development
    2. Neuromodulation for Sleep
    Lin, Bill
    1. Explainable machine learning
    2. Multi-core processor architecture

    Liu, Zhaowei

    1. Super resolution sound/ultrasound imaging
    2. Computational spectrometry
    Lo, Yuhwa
    1. Semiconductor photodetectors for LiDAR and AR/VR
    2. Biophotonic machine learning system for biomedicine
    Mercier, Patrick
    1. Wearable physiochemical sensor technologies
    2. Ultra-low-power wireless communication circuits
    Mi, Chris
    1. Research on second life EV battery for energy storage applications in business building

    Mirarab, Siavash

    1. Deconvolving DNA mixtures
    2. New species sampling algorithms for faster statistical inference
    3. Machine learning methods for reconstructing evolutionary past
    Mookherjea, Shayan
    1. Implementing Quantum Networking Using Light
    Morris, Karcher
    1. Design & Development of Wearable Device to Measure a Surgeon’s Ergonomic Performance
    2. Mixing Circuits and Python for Education
    3. Bringing ECE 5 Curriculum to High School
    Ng, Tina
    1. Developing High-Energy Supercapacitors
    2. Recording Motor Disorders
    Nguyen, Truong
    1. RGB-based Face Anti-Spoofing with Spoof Hint Detection
    2.  Lightweight Human Digitization System
    3. Analysis of Corticobasal Degeneration using Machine Learning
    4. Detection of Defects in Tire
    Nomura, Kenji
    1. Development of energy and cost-effective thin-film transistor
    2. Development of low-dimensional oxide semiconductor devices
    Pal, Piya
    1. Machine Learning for Inverse Problems
    Schurgers, Curt
    1. Engineers for Exploration
    2. Building a new student response system
    Shi, Yuanyuan
    1. Individual Carbon Footprint Profiling and Data Analytics
    2. Data-driven Electric Vehicle Fleet Charging Simulation and Applications 

    Taswell, Carl

    1. Rendering, Region-Segmenting and Path-Following Algorithms for BrainWatch VR Software
    2. Effect of Neurodegenerative Disease Status on Co-Registration Accuracy of PET and MRI Brain Scans
    3. Automated Meta-Analyses of Dementia Literature with the SOLOMON Ontology and Nexus- PORTAL-DOORS-Scribe
    Turakhia, Yatish
    1. Hardware acceleration of computational genomics
    2. Large-scale COVID-19 Phylogenetics
    Vasconcelos, Nuno
    1. Visual grounding for robotics
    2. An iterative framework for dataset collection
    3. Larger vocabulary few-shot classification for machine teaching
    4. Generalized bird’s-eye view (BEV) perception with monocular images
    5. Continual taxonomic learning
    6. Action induced 3D detection
    7. Tire defect detection
    Vasconcelos, Nuno & Antipa, Nick
    1. Privacy Preserving Vision Cameras
    Wang, Xiaolong
    1. Imitation learning for dexterous manipulation
    2. Self-Supervised Learning of 3D from Videos
    3. Self-Supervised Representation Learning from Videos
    4. Vision-Guided Locomotion Control
    5. Learning to generate grasps
    6. Content Generation with Implicit Functions
    7. Robot Arm Manipulation with Reinforcement Learning
    8. Trifinger Manipulation
    9. 3D Articulation Modeling
    Xie, Pengtao
    1. Leveraging Side Information for Text-to-Image Generation
    2. Prevent Performance Collapse of Differentiable Neural Architecture Search by Encouraging Transferability
    3. Performance-Aware Mutual Knowledge Distillation
    4. Automatic Annotation of Objects Based on Image Captions
    5. Curriculum Self-Supervised Learning
    6. Reweight Source Data via Tri-Level Optimization
    Yip, Michael
    1. Learning Key-points For Deformable Robotic Manipulation
    2. Combing Model-based and Learning-based Control for Automation in Surgical Robotics
    3. Simulation of Advanced Multibody Physical Environment for Real-to-Sim Robotics Control and Planning
    4. Sim-to-Real Instrument Tracking For Surgical Robot
    5. Fast Collision Detection with Point Cloud via Machine Learning for Robotic Manipulators
    6.  Interactive Perception and Planning in Dense and Deformable Environments
    7. Bimanual Planning for Deformable Object Manipulation
    8. Benchmarking Learning-Based Motion Planners for Robot Manipulators
    9. ViP-SuPer: A Vision and Physics-Based Surgical Perception Framework for Robotic Tissue Manipulation
    10. Tissue Deformation Prediction and Future Video Frame Synthesis for Robotic Tissue Manipulation
    11. Handheld Robotic Catheter Development and Deployment with School of Medicine and San Diego Zoo


    Zhang, Xinyu

    1. A Programmable Millimeter-Wave Massive MIMO Radio for 5G Communications and Sensing
    2. Intelligent reflectors for 5G range expansion.
    3. Sensing Everyday Activities Using WiFi: A Machine Learning Based Framework
    4. An Interactive Video Platform to Augment Remote Learning

    Zheng, Yang

    1. Autonomous Vehicles in mixed traffic systems: analysis, control, and numerical experiments
    2. Inner and outer approximations for semidefinite optimization
    3. Convex Relaxations for Global Optimization over Neural Networks
    4. Optimization landscape analysis of some control problems

    The Spring/Summer 2022 SRIP application is now CLOSED.

     If you have any questions, please see SRIP FAQ's or contact SRIP Coordinator, Jade Moneda at