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An, Cheolhong
|
- Real-time Physical based rendering for medical images
- Deep neural network for Neurodegeneration Syndrome
- Real-time cell classification
- Optical Coherence Tomography Simulation
|
| Antipa, Nick |
- Data-driven microscope design
- Next generation tools for optical function neuroimaging
- Backscatter holography for oceanographic imaging
|
| Atanasov, Nikolay |
- Python Robotics
- Inverse Reinforcement Learning
- Hardware Design for Autonomous Quadrotor Robots
- Multi-agent Simultaneous Localization and Mapping
- Semantic Segmentation and Terrain Mapping
|
| Bandaru, Prab |
- Thermal modeling of nanoscale materials and devices
|
| Bharadia, Dinesh |
- Smartphone Enabled Ubiquitous Indoor Navigation and Mapping
- Robust SLAM for Autonomous System by combining light-based sensing (Lidar, Camera) and RF-based sensing
- Automotive radar perception in bad weather
- Intelligent Nonlinear communications
- In-Body Localization
- Sensing Driven Communication
- SweepSense 2.0
- Securing your communication with IoT devices using device Identification
- Bespoke FPGA Based Communication Testbed
- Wireless Virtual Reality Over 5G Testbed
- Smart Radio: Simultaneous Communication and Sensing
- Smart Surfaces enabling both communication and sensing
|
|
Cosman, Pamela C
|
- Eye-tracking for Reading Informational Text
- Mobile app for assisting in physical therapy
- VR training for conversational engagement
|
| Dey, Sujit |
- Virtual Physical Therapy
- Behavioral Coaching and Guidance for People with ASD
- Driver’s State of Mind and Intent Detection using Multiple Sensors and Machine Learning
- Creating a Digital Twin of UCSD’s CV2X Testbed
- Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure
- Explaining Wireless Protocols Learned via Reinforcement Learning
|
| Gerstoft, Peter |
- Acoustic room characterization and speaker tracking with Google voice
- Machine Learning for radio frequencies
|
|
Gessner, Rick
|
- Utilizing Machine Learning to Enhance a Social Learning Platform
|
| Gudem, Prasad |
- Analog/RF Integrated Circuit Design
- Study of aerodynamics of boomerangs and drones using wireless position location
|
| Hall, Drew |
- IC Block Level Design
- Padring Synthesis Script
- Machine-Learning for Biomarker Identification
|
| Kang, Mingu |
- Deep neural network accelerator with analog switched-capacitors
- Natural language processing under resource constraints
|
|
Khoshabeh, Ramsin & Mark Liu
|
- MPC Racer
- Enhanced Access Control System
- Intelligent Low-cost Consumer-Grade Drone
|
|
Kuzum, Duygu
|
- Nonvolatile memory devices for neuromorphic computing
- Novel electrooptical sensors for detecting brain signals
|
| Le, Hanh-Phuc |
- Integrated power supply for soft robotics
|
| Lerman, Imanuel |
- Neural Engineering Device Development
- Neuromodulation for Sleep
|
| Lin, Bill |
- Explainable machine learning
- Multi-core processor architecture
|
|
Liu, Zhaowei
|
- Super resolution sound/ultrasound imaging
- Computational spectrometry
|
| Lo, Yuhwa |
- Semiconductor photodetectors for LiDAR and AR/VR
- Biophotonic machine learning system for biomedicine
|
| Mercier, Patrick |
- Wearable physiochemical sensor technologies
- Ultra-low-power wireless communication circuits
|
| Mi, Chris |
- Research on second life EV battery for energy storage applications in business building
|
|
Mirarab, Siavash
|
- Deconvolving DNA mixtures
- New species sampling algorithms for faster statistical inference
- Machine learning methods for reconstructing evolutionary past
|
| Mookherjea, Shayan |
- Implementing Quantum Networking Using Light
|
| Morris, Karcher |
- Design & Development of Wearable Device to Measure a Surgeon’s Ergonomic Performance
- Mixing Circuits and Python for Education
- Bringing ECE 5 Curriculum to High School
|
| Ng, Tina |
- Developing High-Energy Supercapacitors
- Recording Motor Disorders
|
| Nguyen, Truong |
- RGB-based Face Anti-Spoofing with Spoof Hint Detection
- Lightweight Human Digitization System
- Analysis of Corticobasal Degeneration using Machine Learning
- Detection of Defects in Tire
|
| Nomura, Kenji |
- Development of energy and cost-effective thin-film transistor
- Development of low-dimensional oxide semiconductor devices
|
| Pal, Piya |
- Machine Learning for Inverse Problems
|
| Schurgers, Curt |
- Engineers for Exploration
- Building a new student response system
|
| Shi, Yuanyuan |
- Individual Carbon Footprint Profiling and Data Analytics
- Data-driven Electric Vehicle Fleet Charging Simulation and Applications
|
|
Taswell, Carl
|
- Rendering, Region-Segmenting and Path-Following Algorithms for BrainWatch VR Software
- Effect of Neurodegenerative Disease Status on Co-Registration Accuracy of PET and MRI Brain Scans
- Automated Meta-Analyses of Dementia Literature with the SOLOMON Ontology and Nexus- PORTAL-DOORS-Scribe
|
| Turakhia, Yatish |
- Hardware acceleration of computational genomics
- Large-scale COVID-19 Phylogenetics
|
| Vasconcelos, Nuno |
- Visual grounding for robotics
- An iterative framework for dataset collection
- Larger vocabulary few-shot classification for machine teaching
- Generalized bird’s-eye view (BEV) perception with monocular images
- Continual taxonomic learning
- Action induced 3D detection
- Tire defect detection
|
| Vasconcelos, Nuno & Antipa, Nick |
- Privacy Preserving Vision Cameras
|
| Wang, Xiaolong |
- Imitation learning for dexterous manipulation
- Self-Supervised Learning of 3D from Videos
- Self-Supervised Representation Learning from Videos
- Vision-Guided Locomotion Control
- Learning to generate grasps
- Content Generation with Implicit Functions
- Robot Arm Manipulation with Reinforcement Learning
- Trifinger Manipulation
- 3D Articulation Modeling
|
| Xie, Pengtao |
- Leveraging Side Information for Text-to-Image Generation
- Prevent Performance Collapse of Differentiable Neural Architecture Search by Encouraging Transferability
- Performance-Aware Mutual Knowledge Distillation
- Automatic Annotation of Objects Based on Image Captions
- Curriculum Self-Supervised Learning
- Reweight Source Data via Tri-Level Optimization
|
| Yip, Michael |
- Learning Key-points For Deformable Robotic Manipulation
- Combing Model-based and Learning-based Control for Automation in Surgical Robotics
- Simulation of Advanced Multibody Physical Environment for Real-to-Sim Robotics Control and Planning
- Sim-to-Real Instrument Tracking For Surgical Robot
- Fast Collision Detection with Point Cloud via Machine Learning for Robotic Manipulators
- Interactive Perception and Planning in Dense and Deformable Environments
- Bimanual Planning for Deformable Object Manipulation
- Benchmarking Learning-Based Motion Planners for Robot Manipulators
- ViP-SuPer: A Vision and Physics-Based Surgical Perception Framework for Robotic Tissue Manipulation
- Tissue Deformation Prediction and Future Video Frame Synthesis for Robotic Tissue Manipulation
- Handheld Robotic Catheter Development and Deployment with School of Medicine and San Diego Zoo
|
|
Zhang, Xinyu
|
- A Programmable Millimeter-Wave Massive MIMO Radio for 5G Communications and Sensing
- Intelligent reflectors for 5G range expansion.
- Sensing Everyday Activities Using WiFi: A Machine Learning Based Framework
- An Interactive Video Platform to Augment Remote Learning
|
|
Zheng, Yang
|
- Autonomous Vehicles in mixed traffic systems: analysis, control, and numerical experiments
- Inner and outer approximations for semidefinite optimization
- Convex Relaxations for Global Optimization over Neural Networks
- Optimization landscape analysis of some control problems
|
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)**