Students work full-time in the faculty lab.

Undergraduate SRIP interns will present (required) at the UCSD Summer Research Conference (In person). Dates TBD.

1. Motion Planning and Reinforcement Learning for Robot Manipulation
2. Model Learning and Adaptive Control for Aerial Robots
3. Distributed Optimization with Consensus Constraints for Multi-Agent Reinforcement Learning
4. Neural Feature Fields for Robot Mapping and Task Planning
5. Particle-Based Algorithms for Active Bayesian Inference

1. LabStream: Developing technology for remote hands-on experiments
2. Light Maze Adventure: Designing Optics Puzzles

1. Shoe insole-based force sensing for treadmill application
2. Sensing oral suction force in infants using wireless and battery-free force sensors
3. Spectral Mechanic: A scalable, efficient, real-time and robust Over-The-Air spectrum research platform
4. yoLight: A signal processing-inspired machine learning model for real-world signal bounding and classification
5. AI/LLM for 5G Network Telemetry and security
6. 5G Lab: From GitHub to deployment
7. Application Aware Networking
8. Building low-cost satellite ground stations using SDRs and Phased Arrays
9. Low-power, low-cost, and long-range communications and localization of IoT devices using LEO (Low Earth Orbit) satellites
10. Sensor Fusion and Radar simulations using Generative AI/Deep Learning
11. Developing a Universal Sensing Platform
12. High bandwidth software-defined radio design using FPGA
13. Survey on existing MIMO architectures
14. Study UE power measurements

* These projects are listed at the bottom of the project titles.

1. Quality Metrics for 3D Dynamic Meshes
2. Analysis of Visual Attention

1. Monolayer Semiconductors Based Photonic Devices and Sensors

1. DERConnect

1. Adaptive Digital Cancellation of Dynamic Error from Clock Skew, Component Mismatches, and ISI in High-Resolution RF DACs

1. 4G/5G Wireless Communication Hardware to Emulate Bits-to-Bits Data Transfer between Base station (BS) and User Equipment (UE)
2. Quantum Computer Programming
3. Research in Analog/RF IC Design

1. Analog IC Block Design
2. Automating Circuit Design

1. Active Learning with Physical Attention

1. Materials-algorithm Codesign for Neural Sensing
2. Novel memory devices for computing in-memory

1. Isolated power converter
2. Circuits and System for Brain Stimulation
3. Integrated power management

1. Multicore Heterogeneous Processor Architecture
2. Acceleration Strategies for Deep Generative Models

1. Entangled quantum light source
2. Acoustic tweezer

1. Research on heterogeneous integration technology
2. Research on biological image analysis with AI

1. Low-power backscatter WiFi/Bluetooth communications
2. Smart wearable systems

1. Engineering Education - Tools for Imagination
2. Medical Device Engineering and Translation

1. Recommendation systems and strategic users
2. Optimization layers for risk-aware path planning

1. Water Quality Sensors based on Organic Electrochemical Transistors
2. Objective assessment of motor disorder

1. Boost Gaussian Splatting
2. 3DGS-based SLAM
3. 3D Mesh Deformation for Real-world Scanned Meshes
4. Boost Neural Implicit SDF 3D Reconstruction

1. Development of high-performance oxide-TFT-based logic gates
2. Development of energy-efficient ultra-thin oxide-transistor
3. Development of high-performance p-channel oxide-TFT for CFET application

1. Classical and Machine Learning enabled spatiotemporal prediction

1. Reinforcement Learning for Autonomous Power Systems
2. Learning and Adaptation with Probabilistic Events
3. Game-Theoretic Control Policies for Teams of Quadruped Robots

1. Applications of Artificial Intelligence in Education

1. Engineers for Exploration
2. Educational Technologies

1. Data-driven discovery of kernel equations for control of PDEs via Deep Learning
2. Advanced development of a reinforcement learning benchmark for control of PDEs
3. Foundation models for boundary control of PDEs
4. Smart Building Experiments with Novel Sensing and Actuation Hardware Design
5. Price-based demand response with strategic participants
6. Demand response modeling via Large Language Models

1. GPU Acceleration of Bioinformatics Algorithms
2. Large-Scale Phylogenetics
3. Hardware Accelerators using High-Level Synthesis

1. Responsible Image Generation and Editing
2. Making foundation models truly zero-shot
3. Interpreting the Weight Space of Foundation Models for Model Interpolation
4. Task-driven Active Image Synthesis
5. Towards Robust and Consistent Dataset Distillation
6. Customizing radiation cancer treatment with deep learning

1. Digital Health Sensing with Wearable

1. Machine Unlearning
2. Multi-Objective Optimization

1. Manipulation with Humanoid Robots
2. Whole-body Control with Humanoid Robots
3. Robot manipulator co-design
4. 3D VLM for robotics
5. Model-based RL with TD-MPC
6. LLM modeling and Reasoning with Test-Time Training
7. Real2Sim for manipulation and navigation
8. Egocentric Video Understanding
9. Generative Modeling

1. Automatic Instruction Search for Instruction Tuning Based Backdoor Attack with Meta-learning
2. Learnable Gradient Harmonization on Hybrid Mamba-Transformer Vision Backbone Training
3. Enhancing Reasoning in Large Language Models through Self-Play and Reinforcement Learning
4. Leveraging Contextual Reasoning in Segmentation with Adaptive Language-Spatial Attention
5. Iterative Supervised Fine-Tuning and Reinforcement Learning from Human Feedback (RLHF) for Efficient LLM Instruction Following
6. Meta Learning for Subject-Driven Generation

1. Surgical Robot Learning and Simulation
2. Autonomous CT-guided Robot for Lung Biopsy
3. Dextrous bi manipualtion for surgical environments with Humanoid
4. Leveraging Foundational Models for Surgical Humanoids with NVIDIA’s GROOT Framework
5. Dynamic Object Manipulation with Vision Language Models
6. Learning to Manipulate Delicate Objects with Unknown Physical Properties through Active Interactions

1. Generative Agents for Augmenting Online Education
2. Sensing Everyday Activities Using Smartphone Sensors: A Machine Learning Based Framework
3. A Software Radio Platform for Joint Communications and Sensing in 6G Cellular Networks

1. Model-Free Learning in Non-Convex and Non-Smooth Control Problems
2. Online learning and nonstochastic control
3. Stable Koopman Model Predictive Control for Autonomous Vehicles in Mixed Traffic Systems
4. Structured Subspace Projection with Causality for Behavior of Controlled Dynamic Systems
5. Data-Driven Kalman Filter with Guaranteed Performance
6. Efficient algorithm for nonsmooth convex optimization