• 3D SLA Printing Optical Components

Atanasov, Nikolay

• Motion Planning and Reinforcement Learning for Robot Manipulation
• Quadrotor Robot Design and Autonomous Flight
• Robot Motion Planning for Mobile Target Tracking

Baghdadchi, Sahar

• Light Maze Adventure: Designing Optics Puzzles

• RFCam: Radio Frequency (RF) Spectrum Summarization for Security and Policy Enforcement
• Applications of Machine Learning in Radio Frequency (RF) Communication and Sensing
• Shoe Insole-based Force Sensing for Treadmill Application
• Sensing Oral Suction Force in Infants Using Wireless and Battery-free Force Sensors
• Smart-surface: Reconfigurable smart surface for mmwave 5G connectivity
• Smartphone-based Human Health Monitoring System
• Sok: Emanation Based Side-channel Attack and Defense
• mmSpoof_v2: Countermeasures Against Spoofing Attacks on Autonomous Vehicles
• CommRad: Augmenting Multi-beam 5G mmWave Systems with Environment Sensing
• mmReliable_v2 Improving Reliability of a multi-user 5G millimeter-wave system using Machine Learning
• Developing 5G New Radio testbed with Phased Arrays and USRP in Verilog
• mmFlexible_v2 Enhancing 5G spectral and energy efficiency by using special IIR filters to flexibly allocate any BW chunk to any user location using a single RF chain
• Designing a 3-D printed smart orthopedic implant with ForceSticker for implant health monitoring
• Radar Simulations and Super Resolution using Generative AI/Deep Learning
• Digital Twin for ORAN: A Twin for 5G Wireless Environments
• Low-power and Low-cost Tracking and Localization of IoT Devices using LEO Satellites
• Building Low-cost Satellite Ground Stations using SDRs and Phased Arrays

Cosman, Pamela

• Compression of Dynamic 3D Human Mesh Data
• Analysis of Visual Attention

Gudem, Prasad

• Hardware Emulation of 5G Wireless Communication Link
• Tracking Boomerangs Using Wireless Positioning, IMUs, and Video Imaging Using Drones
• 5G Transceiver IC Design

Hall, Drew

• Analog IC Block Design
• Automating Circuit Design

• Circuits and System for Brain Stimulation

Lin, Bill

• Acceleration Strategies for Deep Generative Models
• Explainable Machine Learning
• Multi-Core Processor Architecture

Mercier, Patrick

• Power Converters for Electronic Textiles
• Wearable Sensor Development

Mirarab, Siavash

• Machine Learning Methods for Analyzing Biological Datasets
• Spectral Analyses of Sequence kmers Using Probabilistic Modelling

• Bringing ECE 5 to High School
• Tools for Marine Robotics Engineering Education
• Medical Device Design, Manufacturing and Testing

Naghizadeh, Parinaz

• Data-driven Agent-based Simulation of Multilayer Networks

Ng, Tina

• Organic Infrared Photodetectors
• Ocean Sensors Based on Organic Electrochemical Transistors
• Objective Assessment of Motor Disorder

Nomura, Kenji

• Development of Oxide Logic Circuits
• Development of New Oxide Semiconductor for TFT Applications
• Process Development for Oxide-TFT

Poveda, Jorge

• Experimental Demonstration of Perception-Based Control in the Hybrid Kapitza's Pendulum
• Modern Machine Learning for Real-Time Obstacle Avoidance in Vehicle Systems
• Federated-Learning via Dynamical Systems Tools

Schurgers, Curt

• Engineers for Exploration
• Software Development for Pedagogical Use
• Circuit Board Development to Create New “Tools for Imagination”

Turakhia, Yatish

• GPU Acceleration of Bioinformatics Algorithms
• A Programmable Hardware Accelerator for Dynamic Programming Algorithms
• Large-Scale Phylogenetics

• Language-Assisted Continual Visual Classification
• Customizing Radiation Cancer Treatment with Deep Learning
• Accurate 3D-Hand Pose Estimation via Multi-Modal Fusion
• Generalizable Neural Radiance Fields (NeRF) with Few Images
• Novel Benchmark for Human-level Long-form Video Understanding
• Ensemble Modeling for Text-to-Image Generation in Stable Diffusion

Wang, Edward

• Smartphone-based Medical Monitoring and Interventions

Wang, Xiaolong

• Learning Dexterous Manipulation
• Learning-based Mobile Manipulation
• Reinforcement Learning for Racing
• Generalizable 3D Representation Learning
• Generative AI with LLM
• LLM for Robotics

Xie, Pengtao

• AutoSAM: Automated Prompting for the Segment Anything Model
• AutoMAE: Automatically Learning a Masking Strategy in Masked Autoencoder
• Reduce Overfitting in Low-Rank Adaptation
• Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
• Information Augmentation for Text Classification Based on Automatically Prompting Large Language Models

Yip, Michael

• AI-assisted Robotic Surgery for Lung Cancer
• Neural Methods for Dynamic and Deformable Surgical Scene Reconstruction
• Dust-Fragment Classification
• Machine Learning Augmented Deformable Object Simulation
• Model and Policy Adaptation for Deformable Object Manipulation
• Simulation, Control, Learning for Robotic Manipulation of Deformable Objects
• Data-driven Approaches for Modeling, Control, Learning of Catheter Like Soft/Continuum Robots

Zhang, Xinyu

• Generative Agents for Augmented Learning
• Sensing Everyday Activities Using Non-Visual Sensors: A Machine Learning Based Framework
• A Software Radio Platform for Joint Communications and Sensing Beyond 5G

Zheng, Yang

• Robust Predictive Control for Autonomous Vehicles in Mixed Traffic Systems
• Structured Low-Rank Approximation with Machine Learning
• A Unified Analysis for First-Order Algorithms in Convex Optimization
• Continuous Control from Optimization and Reinforcement Learning Perspectives
• Semidefinite Relaxation for Machine Learning Problems
• Analysis of Performance Estimation Problems for Nonsmooth and Nonconvex Optimization