Summer Research Internship Program Fellowship 2019

The ECE Department is very pleased to announce the return of the Summer Research Internship Program (SRIP) Fellowship for continuing ECE undergraduate students and continuing ECE MS students (including first-year MS and continuing BS/MS students). The Summer 2019 program will run 10-weeks in the summer. DATES TBD.

ECE Summer Research Internships are full-time commitments in labs where interns will have the opportunity to observe and participate in the activities of a research group under the supervision of the PI or a member of his/her lab group. The program includes an enrichment component for students consisting of workshops on research communication, research writing, and other pertinent topics. In addition, undergraduate students will have the opportunity to present their work at the Summer Research Conference in August 2019. Research interns selected for this program will receive a summer stipend in the amount of $5,000. Students are expected to commit full-time (40 hours/week) to their internship and not accept other employment.

Students who are offered an internship must:

  • Participate in an orientation session in June 2019 (Date TBD).
  • Work in the lab for 10 weeks, (Dates TBD).
  • Not accept other employment for the 10-week duration of the program. This is a full-time commitment. Applicants are expected to commit 40 hours per week towards their assignment.
  • Participate in the Summer Research Conference in August 2019 (Date TBD).
  • Participate in program professional development activities.

Tentative timeline:

  • Mid October 2018: Program announcement. Projects solicited from faculty.
  • November 12, 2018: Project proposals DUE from faculty.
  • November 19, 2018: Projects posted on website. Intern application opens.
  • December 2, 2018: Intern application DUE at 11:59 PM.*
  • December 10, 2018: Intern application/information sent to faculty.
  • Mid December to Early January 2019: Faculty interview applicants.
  • January 14, 2019: Faculty first choice deadline.
  • January 18, 2019: Second choice list sent out to faculty who request it.
  • January 28, 2019: Faculty second choice deadline.
  • February 1-8, 2019: All applicants notified of application status.
  • Spring 2019: Students enroll in research credit courses (ECE 199 for undergraduates and ECE 298 for graduates) and start working on projects.
  • Summer 2019: Students work full time in faculty lab.

*The Undergraduate Policy on Special Studies courses: EE, EP, EE & Society majors are allowed only 4 units total of Special Studies courses (197,198,199) to satisfy one elective.

 

*Students can submit only one application per year and select a maximum of two projects.  

 

***APPLICATION FOR SUMMER 2019 IS CLOSED.***

 


SRIP 2019 PROJECTS

 

FACULTY MENTOR

PROJECT TITLE

Abi-Samra, Nicholas

1. Tablet Application for Tracking and Analyzing Damage from Wildfires and Extreme Weather

2. Transmission line design applets

3. Distribution systems applets

An, Cheolhong

1.  Lensless Camera

2.  ML network for Medical image analysis3.  CNN: Image sensor to color image

3.  ML network to overlay metadata onto medical images

Atanasov, Nikolay

1. Gazebo Simulation of a Ground-Aerial Robot Team

2.  Lidar Odometry and Trajectory Tracking for an Autonomous Racecar

3.  Modeling, Simulation and Control of an Autonomous Quadrotor

 

Bae, Won

 

1.  Deep Learning in Medical Imaging: Musculoskeletal Applications
Baghdadchi, Saharnaz

1.  Singular imaging in turbulence

2.  Endoscopic Reflectance Spectroscopy

 

Bharadia, Dinesh

 

1.  Wireless Virtual Reality Headset using Deep Learning

2.  All Weather Radar for Autonomous Driving

3.  An app Indoor Navigation -- on smartphones

4.  Wireless Virtual Reality tracking with standard glasses

5.  BLE localization and communication platform

6.  Helping Disaster zone using drones to identify human under the rubble

Cosman, Pamela

1.  Machine learning & eye-tracking for autism assessment

2.  Speech processing to detect overlap and rate

 

Cleary, Daniel

 

1.  Development of neurosurgical simulations for training resident physicians

 

Deledalle, Charles

 

1.  Full-Focus Image Reconstruction

2.  PNG2SVG: Generating vectorial graphics from rasterized versions

3.  Image restoration with bi-directional GAN priors

Dey, Sujit

1.   Improving collaboration in autonomous vehicles

2.  Towards On-demand Virtual Physical Therapist: Patient Performance Evaluation and Balance Ability Quantification using Multiple Sensors

3.  Personalized Effect of Health Behavior on Blood Pressure: Machine Learning Based Prediction and Recommendation

4.  Towards On-demand Virtual Physical Therapist: Patient Performance Evaluation and Balance Ability Quantification using Multiple Sensors

5.  Personalized Effect of Health Behavior on Blood Pressure: Machine Learning Based Prediction and Recommendation

Dow, Steven

1.  Design for San Diego

 

El Amili, Abdelkrim

 

1.  Opto-electrical probes for Silicon chips testing

 

 

Esmaili, Reza

 

1.  Solar Charger for residential application

2.  4-Leg 3-Phase UPS System

3.  Power converters and control for wind Turbine application

4.  Control of Permanent Magnet Drive for Electric Car Application

 

Garudadri, Harinath

 

1.  Human Activity Classification and Quantification

2.  Ambulatory Pupillometry

Gerstoft, Peter

1.  Sparse modeling and machine learning in geoscience

2.  Detecting and Classifying Ships in the Ocean with Sound

3.  MIMO Array Channel Sounder and Beamformer

Ghoudjehbaklou, Hassan

1.  Locating Oscillation Source, Using PMU Measurements

2.  Multi-terminal lines impedance estimation

3.  Power System Dynamic Network Reduction

Gilja, Vikash

1.  The Development of an Avian Model for Neurally Driven Vocal Prostheses

2.  Behavioral Context Decoding from Neural Activity

3.  Estimating Brain State with High-Density Electrode Grids

Gudem, Prasad

1.  Hawk-eye to capture flight trajectory of a boomerang

2.  Non-GPS Accurate Positioning Location

Hall, Drew

1.    Ring-based Potentiostat

2.  Integrated Circuit Testing

Hessenauer, Sam

1.  Blockchain AR Collectibles

2.  Machine Learning on 3D protein models for Binding Sites

Hsueh, Tzu-Chien & El Amili, Abdelkrim

1.  Electrical and Optical Links Modeling and Budget Analyses

2.  Low-Power Integrated Lidar Circuits and Systems

Kuzum, Duygu

1. Neuroelectronic interfaces for brain

2.   Neuro-inspired in memory computing systems

Leung, Vincent

1. Wireless Power Transfer for Intra-cortical Miniaturized Distributed Brain Implant ICs

2. Design and Test of CMOS ICs for Adaptive, Energy-Optimized Wireless Brain Implant Network

3. Circuit Design for Ultra-Low-Power Radio and Ambient RF Energy Harvesting for IoT Applications

Lin, Bill

1.  Solving engineering problems with AlphaZero

2.  Solving engineering problems with SAT and SMT solvers

Liu, Zhaowei

1. 3D laser scanner

Liu, Thomas

1.  Studying Dynamic Brain Activity with Simultaneous EEG-fMRI

2.  Deep Learning for Understanding Brain Activity

3.  High Performance Functional MRI

4.  Non-invasive imaging of the neurovascular system using magnetic resonance imaging (MRI)

Lo, Yu-Hwa

1.  Biophotonic systems for medical research

2.  Image processing and machine learning for biological systems

Mi, Chris

1.  Battery parameter identification

Milstein, Larry

1.  Video Transmission over Underwater Communication Channels

Mirarabbaygi, Siavash

1.  New integrated algorithms for understanding microbiome

2.  Solving the mystery of how human segmental duplications evolved

3.  Noise reduction techniques for inferring evolutionary trees from genomic data

Ng, Tina

1. Organic Short-Wavelength Infrared Photodetectors

2.  Recording Motor Disorder

3.  Understanding Cycle Life of Conducting Polymers as Anodes for High-Energy Supercapacitors

Nguyen, Truong

1. Multi-camera calibration

2.  3D face Modeling and Reconstruction

3.  Human Activity Dataset Collection and Annotation

4.  Human Pose and Activity Recognition

5.  3D Scene Reconstruction for VR

Nomura, Kenji

1.  High speed and Highly integrated vertical

Obrzut, Sebastian

1.  Signal Processing of Parkinson's Disease Tremor Data from Virtual Reality Application

2.  Deep Learning SPECT Medical Image Reconstruction

3.  Compressive Sensing Absorber for Molecular Breast Imaging

Schurgers, Curt

1.  Engineers for Exploration

Seshadri, Nambi

1.  Machine learning for communication systems

Silberman, Jack

1.  Affordable Open Source Smart Wheelchair

Suresh, Preetham

1.  Digital Manikin (Mixed Reality Application)

2.  Real time Labeled Ultrasound Reference

3.  Stream Vitals into EPIC

Taswell, Carl

1.  Development of Algorithms for Rendering, Region-Segmenting and Path-Following in 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 System

Taur, Yuan

1.  Modeling of I-V characteristics of short-channel double-gate MOSFETs above threshold

2.  Modeling of output conductance of short-channel MOSFETs in saturation

Thode, Aaron

1.  Embedded real-time classification of whale and noise signals on a marine mammal bioacoustic tag.

2.  Design and assembly of an autonomous underwater acoustic recording system

Touri, Behrouz

1.  Distributed Optimization over Time-varying Graphs

2.  Models of Scale-free Networks

Unpingco, Jose

1.  Python Package for Multivariate Imputation by Chained Equations

Vasconcelos, Nuno

1. Image collection with drones

2.  Object size estimation from one single real-world image

3.  Biological Imaging

4.  Self-driving and multi-task learning

5.  Classification of point cloud data

6.  Exploration of the impact of synthesized data for real-world computer vision problems

7.  Compressed deep learning networks

8.  Multi-frame visual recognition

9.  Underwater microscopy

Vera, David 1.  Radiopharmacokinetic System Design
Yip, Mike

1.  Data-Efficient Reinforcement and Imitation Learning

2.  Computational Motion Planning

3.  Sparse Regression for Distance Estimation in Robot Configuration Space

4.  Model-free control and modeling methods for muscle-powered robotics research

Zhang, Xinyu

1.  AI-Driven 5G Networks

2.  Developing a Hardware Platform to Support 5G Communications and Wireless Sensing Applications

3.  Sensing Everyday Activities Using WiFi: A Machine Learning Based Framework

4.  An Android App for Indoor Navigation

 

SRIP 2018 PROJECTS

 

PARTICIPATING COMPANIES

COMPANY

PROJECT TITLE

  In-Q-Tel

1. Secure Deep Learning

2.  Classifying Synthetic Biology

3.  Audio Recognition at the Edge

4.  Text in Video

Kneron  

1. Deep learning Research on Embedded Device

  Konch

  1. Audio and Video ML @ Konch.AI

  ProductBio

 1. Software Engineering Internship for Sustainable Procurement Data Science Company

 

PARTICIPATING FACULTY

FACULTY MENTOR

PROJECT TITLE

Abi-Samra, Nicholas

1. Dynamic models for three ancillary services for battery energy storage systems (BESS)

2. Frequency Scan tool for subsynchronous resonance studies

3. A spatial load forecasting tool accounting for PV and EV penetration

An, Cheolhong

1.  Parallel lossless compression on GPU

2.  Real-time GPU Database and Interactive Visualization

3.  CNN: Image sensor to color image

Atanasov, Nikolay

1. Build a robot from scratch and make it move!

Baghdadchi, Saharnaz

1.  Trapping and manipulating particles with highly focused beams

2.  Imaging through scattering using spatially encoded optical beams

Bandaru, Prabhakar (MAE)

1. Electrical characteristics, and quantum capacitance of two-dimensional materials

2.  Thermal characteristics of graphene, for device applications

Cosman, Pam

1.  Using eye-tracking glasses to quantify looks in social interactions

Cosman, Pam and Taswell, Carl 

1. Development of Algorithms for Rendering, Region-Segmenting and Path-Following in BrainWatch VR Software

Cubukcu, Ertugrul

1. Two-dimensional optical antennas

Depp, Colin

1.  Brief mobile intervention for suicide prevention in the community

Garudadri, Hari

1. Multisensory stimulus to promote executive function and motor competence

2. High density, high resolution, wireless wearable EEG

Gerstoft, Peter

1. Sparse modeling and machine learning in geoscience

2.  MIMO Array Processing for Atmospheric Duct Detection

Hylton, Todd

1.  A smart camera using predictive machine learning

Jaffe, Jules

1.  Enabling Real-Time Video Control Underwater via an LED Communications Array

2.  Nano-AUV Low Cost Microscopy and Sensing

Javidi, Tara

1. Real-time Object detection and Tracking for Self-driving Cars, Assistive Drones, and Smart Homes

2. Drone formations for wireless connectivity

3. From Smart Cities to Connected Vehicles

Khoshabeh, Ramsin

1. PiB: Learning Python

2.  PIB: iOS App Development

3.  PIB: Augmented Reality

4.  PiB: Android App Development

5.  PiB: Artificial Intelligence

6.  Intelligent Whiteboard Capture with ML

7.  Intelligent Whiteboard Capture API

Kleinfeld, David (Physics)

1.  Few GHz pulse counter for PMT output

Kuzum, Duygu

1. Deep Neural Nets for Biophysical Modeling of Brain Networks

2.  Neuromorphic systems for unsupervised learning

3.  Implatable Neurodevices for Probing Brain Circuits

Leung, Vincent

1.  Enabling a Wireless Communication Network of Brain Implants

2.  Develop a hands-on Wireless Communication Project based on NI’s SDR Platform

Liu, Zhaowei

1. High speed optical imaging

Lo, Yu-Hwa

1. Detection of single photons

2.  Wearable medical devices for detection of blood flow and cardio output

3.  3D imaging flow cytometer and cell sorter

Milstein, Larry

1.  Machine Learning for Cognitive Radio

Mi, Chris

1.  Wireless Charging of Multiple Mobile Devices Over a Large Distance

Ng, Tina

1. Recording Repetitive Behaviors in Autism

2.  Polymer photodiode for infrared spectrum

Nguyen, Truong

1. Camera Systems for 3D Scene Reconstruction

2.  Transmission of Touch VR

3.  High quality free viewpoint video generation

Schurgers, Curt

1.  Engineers for Exploration

Silberman, Jack

1.  UC San Diego Smart Open Source Wheelchair

2.  UCEMBDEV (University of California Embedded Systems Development Testbed for Robotics)

3.  UCESCR (University of California San Diego Electronic Speed Controller for Robotics)

Taur, Yuan

1.  Modeling of MOSFET output conductance in the saturation region

Vasconcelos, Nuno

1. Image collection with drones

2.  Deep learning to measure image quality

3.  Deep Learning for Object Size Estimation from Real World Images

4.  Using synthetic data for training deep learning systems

5.  Efficient Deep Learning for Drones and Smart Phones

6.  The role of context in object detection

7.  Deep Learning for Biological Imaging

8.  Multi-frame visual recognition

9.  Synthesize hand gesture sequences for deep learning

10.  Action prediction in videos using Convolutional Neural Networks

Yip, Mike

1.  Snake robot for colonoscopy

2.  Reinforcement Learning in OpenAI Gym

3.  Automating Robotic Surgery

Yu, Angela

1. Computational Modeling of Human Face Processing

Zhang, Xinyu

1.  An Android App for Indoor Navigation

2.  Sensing heart rate using WiFi

3.  Enabling 5G Mobile Wireless Networks At Scale

4.  A Hardware Platform to Support 5G Communications and Wireless Sensing Applications

 


 

SRIP 2017 PROJECTS

 

FACULTY MENTOR

PROJECT TITLE

STUDENT INTERNS

Abi-Samra, Nicholas

1. Consolidating Solar Resource Data Sets for the USA (primary objective) and globally (secondary objective)

2. Analyze PV Impacts on several distribution feeders

3. Produce a tool to assess the impact of increased electric vehicles (EVs) on distribution transformers and failure risk

1. Yash Ranjan & Haoran Wang (Undergrads)

2. Hamna Khan & Martin Magno (Undergrads)

3. Yi Hui Chen & Ali Jafrani (Undergrads)

Atanasov, Nikolay 1. Build a Quadrator from Scratch 1. Siwei Guo (MS)
Bandaru, Prabhakar (MAE)

1. Synthesis and characterization of defect-free graphene for electronics

1. Yi Shen Ooi & Abhijeet Pasumarthy (MS)

Bott-Suzuki, Simon

1. A multiple output digital delay module for diagnostic timing

1. Camille Lee & Christian Perez Castanaza (Undergrads)

Cosman, Pam

1. Image/video color and visibility restoration

 

2. Predicting video packet importance

1. Vivian Meng & Yalun Zheng (Undergrads)

2. Mehmet Can Hucumenoglu, Shivika Pathania & Ankitesh Singh (MS)

Cubukcu, Ertugrul

1. Monolayer Photonics

1. Xiaojie Zhang (MS)

Dow, Steven (Cog Sci) and Don Norman (ECE/Cog Sci/Psych) 1. Enabling Crowdsourced Visualizations to Support Large-Scale Civic Engagement 1. Justin Tran (Undergrad), Yikun Huang (MS)
Garudadri, Hari

1. Hardware design for a wearable, realtime, open speech platform

2. Quantifying degree of abnormality in movement tasks by Parkinson Disease (PD) patients

3. Wearable EEG Sensor

4. Rady Glove Project

5. Embedded Programming

1. Rui Han & Ningwei Li (Undergrads)

2. Krishna Chaithanya Vastare (MS)

3. Yuxuan Liu (Undergrad), Jingyi Yang (MS)

4. Yiyu Zhu (Undergrad), Yifeng Bu (MS)

5. Simon Fong, Andrew Yoo & Hendry Joe (Undergrads)

Gerstoft, Peter 1. Compressive and sparse methods in acoustic/EM signal processing 1. Shashankar Sudarsan (MS)
Ghoudjehbaklou, Hassan

1. Estimating dynamic parameters of Distributed Energy Resource (DER) models

1. Kevin Abler (Undergrad)
Gilja, Vikash

1. Neural Signal Processing Swiss Army Knife

2. Semi-automated system for labeling patient behavior

1. Stephen Estrin (Undergrad)

2. Kenny Chen & Chenghao Gong (Undergrads)

Javidi, Tara

1. Real-time Object detection and Tracking for Self-driving Cars, Assistive Drones, and Smart Homes

2. From Smart Cities to Connected Vehicles

3. Design Prototyping Software for Artists

1. Bharat Kambalur (MS)

2. Govind Gopal & Weijia Wang (MS)

3. Kavya Putluri (MS), Yizhou Hao (Undergrad), Chenhua Shi (Undergrad)

Khoshabeh, Ramsin and Raul Pegan

1. IoT, Data Analytics, Computer Vision, and More…

 

2. Glasses-free 3D and Reconstruction from Stereo

1. Abhiram Iyer (Undergrad), Keith Yu (Undergrad), Akash Agrawal (MS)

Kreutz-Delgado, Ken 1. Digital Neuromorphic Implementation of Deep Neural Networks 1. Ian Colbert (Undergrad)
Kuzum, Duygu

1. Modeling Brain Circuits

1. Zhuoran Gu & Leon Nguyen (MS)
Liu, Zhaowei

1. Instrument for stroke therapy

 

2. LED based Li-Fi communication

1. Yixiong Li

2. Joseph Kadifa (Undergrad), Tiansong Zhang (MS)

Lo, Yu-Hwa 1. Biomedical devices and systems for point of care and precision medicine 1. Xingyu Huang & Rui Tang (MS)
Maralani, Ayden

1. Transistor Design and Simulation

 

2. Transistor Characterization and Modeling

3. SOI CMOS IC Design and Simulation

 

4. Power Converter Design and Simulation

1. Jack Harms (Undergrad), Samuel Harms (Undergrad), Ping-Chien Lee (MS)

2. Joshua Cho (Undergrad)

3. Zhongzhong Dong & Wenxuan Zhang (Undergrads)

4. Johnny Wang (Undergrad)

Mi, Chris 1. A Wireless Charging System for Electric Vehicles 1. Haili Cai (Undergrad)
Mirarab, Siavash

1. New methods for inference of unbalanced phylogenetic trees

1. Shenghao Jiang (Undergrad)

Ng, Tina

1. Short-Wavelength Infrared Photodiodes Based on Modular Tunable Conjugated Polymers

1. Rong Xi (Undergrad)

Nguyen, Truong

1. Multimodal Denoising Autoencoders

2. Human/hand pose estimation using machine learning

3. 3D reconstruction system using RGB-D camera

4. Testbed for free viewpoint indoor touring system

 

5. Optimal design of a microgrid considering uncertain energy market parameters

6. Real-time Texturing in Free Viewpoint Video

7. Image and Video Defencing

1. Anirudh Ravichandran (MS)

2. Nan Jiang (MS)

3. Shiyuan Huang (Undergrad), Zhongjian Zhu (MS)

4. Nasrin Enayatzadeh (Undergrad), Seyedehelham Sadatian (Undergrad), Chih-yin Kan (MS)

5. Shayan Ghaderi & Khai Tran (Undergrads)

7. Chen Du (MS)

Pal, Piya

1. Blind Deconvolution and Super resolution Imaging

1. Anthony Haas & Yikun Xu (MS)

Vasconcelos, Nuno

1. Fast face/hand detection and tracking for gesture video

2. Light-weight CNN for pose estimation in gesture video

3. Facial landmark localization with deep learning

4. Image collection with drones

5. Real-time object detection on drones

6. Biological imaging

1. Harshita Mangal (MS), Akshaya Purohit (MS)

2. Yuhan Chen (Undergrad), Hao Jiang (MS), George Ma (MS)

3. Yang Zhang (MS)

4. Amir Persekian (Undergrad)

6. Xinxin Chen (Undergrad)

Yip, Mike

1. Haptics for minimally invasive robotic surgery

2. Learning robot locomotion via reinforcement learning

3. MRI-safe robot design and image-based control

4. Reducing tumor resection margins via natural medical image overlays through wireless augmented reality headsets

1. Guangyan Shen (Undergrad), Mayur Bency (MS)

2. Ojash Neopane (Undergrad)

3. Andrew Saad & Dimitri Schreiber (Undergrads)

4. Yuqi Zhang (MS)

Yu, Angela

1. Predicting human decision-making using mouse tracking and eye blink rate monitoring

1. Jianling Liu (Undergrad), Girish Bathala (MS)

 

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