Connected and Autonomous Vehicles
Connected Health
- eCOVID: Enhanced Monitoring and Guidance for Ambulatory Patients with COVID-19 using Wearables and Machine Learning
- Personalized Hypertension Care using Wearables and Machine Learning
- PFI-TT: Virtual Physical Therapy Using Mobile Devices and Artificial Intelligence
- Real-Time Guidance for Adults with Autism Spectrum Disorder (ASD) using Sensor Fusion, AI and Augmented Reality
- Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation
Cloud-based Wireless Multimedia
Green Communications
- Energy Efficient Massive MIMO with QoS-Aware Hybrid Beamforming
- Quality of Service Optimization for Vehicular Edge Computing with Solar-Powered Road Side Units
- Renewable Energy-Aware Video Download in Cellular Networks
- Sustainable Renewable Energy Powered Small Cell Testbed
- Sustainable Wireless Communications with Optimal Utilization of Renewable Energy and Storage
- User and Application Aware Dynamic Cell-Mobile Device Reconfiguration for Green Cellular Network
Data Science Applications and Architectures
- Wireless AR/VR with Predictive AI and Edge Computing
- Building Scalable Recommendation Systems for Enterprise Knowledge Workers
- Towards Enabling Personalized Video Content and Services
- Efficiently Addressing Annotation Sparsity in Online Content
- Forecasting of Solar PV Generation using Artificial Intelligence
- Personalized Hypertension Care using Wearables and Machine Learning
- Learning-based Task Recommendation System for Treatment of Patients with Parkinson’s Disease in a Physical Therapy Setting
- Using Machine Learning based Adaptive Hybrid Beamforming for Energy Efficient Massive MIMO
- User Controlled Personalized Content
Configurable HW/SW Embedded System Design
Previous Projects
Adaptive Wireless Applications and Protocols
Low Cost Reliable Data Aggregation for Wireless Sensor Networks
Low Power Embedded Nanochips