Atanasov, Nikolay |
- Motion Planning and Reinforcement Learning for Robot Manipulation
- Model Learning and Adaptive Control for Aerial Robots
- Distributed Optimization with Consensus Constraints for Multi-Agent Reinforcement Learning
- Neural Feature Fields for Robot Mapping and Task Planning
- Particle-Based Algorithms for Active Bayesian Inference
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Baghdadchi, Saharnaz |
- LabStream: Developing technology for remote hands-on experiments
- Light Maze Adventure: Designing Optics Puzzles
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Bharadia, Dinesh |
- Shoe insole-based force sensing for treadmill application
- Sensing oral suction force in infants using wireless and battery-free force sensors
- Spectral Mechanic: A scalable, efficient, real-time and robust Over-The-Air spectrum research platform
- yoLight: A signal processing-inspired machine learning model for real-world signal bounding and classification
- AI/LLM for 5G Network Telemetry and security
- 5G Lab: From GitHub to deployment
- Application Aware Networking
- Building low-cost satellite ground stations using SDRs and Phased Arrays
- Low-power, low-cost, and long-range communications and localization of IoT devices using LEO (Low Earth Orbit) satellites
- Sensor Fusion and Radar simulations using Generative AI/Deep Learning
- Developing a Universal Sensing Platform
- High bandwidth software-defined radio design using FPGA
- Survey on existing MIMO architectures
- Study UE power measurements
* These projects are listed at the bottom of the project titles.
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Cosman, Pamela |
- Quality Metrics for 3D Dynamic Meshes
- Analysis of Visual Attention
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Cubukcu, Ertugrul |
- Monolayer Semiconductors Based Photonic Devices and Sensors
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Diaz, Sonia Martinez |
- DERConnect
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Galton, Ian |
- Adaptive Digital Cancellation of Dynamic Error from Clock Skew, Component Mismatches, and ISI in High-Resolution RF DACs
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Gudem, Prasad |
- 4G/5G Wireless Communication Hardware to Emulate Bits-to-Bits Data Transfer between Base station (BS) and User Equipment (UE)
- Quantum Computer Programming
- Research in Analog/RF IC Design
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Hall, Drew |
- Analog IC Block Design
- Automating Circuit Design
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Javidi, Tara |
- Active Learning with Physical Attention
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Kang, Mingu |
- Low-complexity AI algorithms for resource-constrained platform
* This project is listed at the bottom of the project titles.
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Kuzum, Duygu |
- Materials-algorithm Codesign for Neural Sensing
- Novel memory devices for computing in-memory
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Le, Hanh-Phuc |
- Isolated power converter
- Circuits and System for Brain Stimulation
- Integrated power management
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Lin, Bill |
- Multicore Heterogeneous Processor Architecture
- Acceleration Strategies for Deep Generative Models
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Liu, Zhaowei |
- Entangled quantum light source
- Acoustic tweezer
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Lo, Yuhwa |
- Research on heterogeneous integration technology
- Research on biological image analysis with AI
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Mercier, Patrick |
- Low-power backscatter WiFi/Bluetooth communications
- Smart wearable systems
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Morris, Karcher |
- Engineering Education - Tools for Imagination
- Medical Device Engineering and Translation
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Naghizadeh, Parinaz |
- Recommendation systems and strategic users
- Optimization layers for risk-aware path planning
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Ng, Tina |
- Water Quality Sensors based on Organic Electrochemical Transistors
- Objective assessment of motor disorder
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Nguyen, Truong |
- Boost Gaussian Splatting
- 3DGS-based SLAM
- 3D Mesh Deformation for Real-world Scanned Meshes
- Boost Neural Implicit SDF 3D Reconstruction
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Nomura, Kenji |
- Development of high-performance oxide-TFT-based logic gates
- Development of energy-efficient ultra-thin oxide-transistor
- Development of high-performance p-channel oxide-TFT for CFET application
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Pal, Piya |
- Classical and Machine Learning enabled spatiotemporal prediction
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Poveda, Jorge |
- Reinforcement Learning for Autonomous Power Systems
- Learning and Adaptation with Probabilistic Events
- Game-Theoretic Control Policies for Teams of Quadruped Robots
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Sahay, Rajeev |
- Applications of Artificial Intelligence in Education
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Schurgers, Curt |
- Engineers for Exploration
- Educational Technologies
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Shi, Yuanyuan |
- Data-driven discovery of kernel equations for control of PDEs via Deep Learning
- Advanced development of a reinforcement learning benchmark for control of PDEs
- Foundation models for boundary control of PDEs
- Smart Building Experiments with Novel Sensing and Actuation Hardware Design
- Price-based demand response with strategic participants
- Demand response modeling via Large Language Models
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Turakhia, Yatish |
- GPU Acceleration of Bioinformatics Algorithms
- Large-Scale Phylogenetics
- Hardware Accelerators using High-Level Synthesis
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Vasconcelos, Nuno |
- Responsible Image Generation and Editing
- Making foundation models truly zero-shot
- Interpreting the Weight Space of Foundation Models for Model Interpolation
- Task-driven Active Image Synthesis
- Towards Robust and Consistent Dataset Distillation
- Customizing radiation cancer treatment with deep learning
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Wang, Edward |
- Digital Health Sensing with Wearable
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Wang, Jun-Kang |
- Machine Unlearning
- Multi-Objective Optimization
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Wang, Xiaolong |
- Manipulation with Humanoid Robots
- Whole-body Control with Humanoid Robots
- Robot manipulator co-design
- 3D VLM for robotics
- Model-based RL with TD-MPC
- LLM modeling and Reasoning with Test-Time Training
- Real2Sim for manipulation and navigation
- Egocentric Video Understanding
- Generative Modeling
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Xie, Pengtao |
- Automatic Instruction Search for Instruction Tuning Based Backdoor Attack with Meta-learning
- Learnable Gradient Harmonization on Hybrid Mamba-Transformer Vision Backbone Training
- Enhancing Reasoning in Large Language Models through Self-Play and Reinforcement Learning
- Leveraging Contextual Reasoning in Segmentation with Adaptive Language-Spatial Attention
- Iterative Supervised Fine-Tuning and Reinforcement Learning from Human Feedback (RLHF) for Efficient LLM Instruction Following
- Meta Learning for Subject-Driven Generation
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Yip, Michael |
- Surgical Robot Learning and Simulation
- Autonomous CT-guided Robot for Lung Biopsy
- Dextrous bi manipualtion for surgical environments with Humanoid
- Leveraging Foundational Models for Surgical Humanoids with NVIDIA’s GROOT Framework
- Dynamic Object Manipulation with Vision Language Models
- Learning to Manipulate Delicate Objects with Unknown Physical Properties through Active Interactions
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Zhang, Xinyu |
- Generative Agents for Augmenting Online Education
- Sensing Everyday Activities Using Smartphone Sensors: A Machine Learning Based Framework
- A Software Radio Platform for Joint Communications and Sensing in 6G Cellular Networks
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Zheng, Yang |
- Model-Free Learning in Non-Convex and Non-Smooth Control Problems
- Online learning and nonstochastic control
- Stable Koopman Model Predictive Control for Autonomous Vehicles in Mixed Traffic Systems
- Structured Subspace Projection with Causality for Behavior of Controlled Dynamic Systems
- Data-Driven Kalman Filter with Guaranteed Performance
- Efficient algorithm for nonsmooth convex optimization
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