IoT Data Privacy and Analytics
Building privacy-preserving and security-first IoT systems which secure data collections and help anonymize sensitive data for publication, and developing RFID systems for object tracking.
Mobile Health Sensing
Enabling novel platforms and machine learning algorithms for mobile and wearable health sensing which capture signals from the environment or the wearer and map them to relevant biological and behavioral measurements.
Smart Infrastructure & Energy
Developing computational methods for sustainability, decarbonization, and automation of engineered systems and infrastructure, including transportation systems, cloud computing, energy systems, and the built environment.
IOT DATA PRIVACY AND ANALYTICS RESEARCH
RFID-Enabled Autonomous Logistics Management (REALM)
The project seeks to use RFID and complex event process to track instruments and objects in International Space Station (ISS).
Solar Privacy
Anonymous energy data comprising energy usage, solar generation, and local weather is often released in the public domain to aid sustainability research. However, such anonymous
Data Privacy in Smart Meters
We are developing privacy-preserving smart-meters that are cost-effective and designing billing protocols that rely on Zero-Knowledge Proofs to produce certified meter readings. We are also
Mobile Health Sensing Research
Smart Glasses
The project seeks to develop smart glasses that can perform real-time gaze tracking and eye monitoring for safety and medical applications such as fatigue detection.
Smart Fabric
In this project, we are designing a smart textile called Tribexor, that robustly senses joint motions by observing the open circuit voltage of an all-textile triboelectric
Smart Infrastructure & Energy Research
Solar PV Charging
The project develops a solar electric vehicle charging station for electric vehicles and the design of intelligent charging algorithms that maximize the use of renewables.
Electric Bike Sharing
The project is building an electric bike sharing testbed to study Electric Vehicles (EVs) and the interaction between EVs and the grid. The project also
Energy Storage in Smart Grids
The project involves developing energy and grid optimization techniques to integrate energy storage with renewable sources in the grid.
City-Scale Energy Analytics
The project uses machine learning and optimization approaches to analyze energy data at city-scale. Moreover, it involves the development of smart applications that provide energy-efficiency
Smart Solar Arrays
The project involves designing grid-friendly solar arrays that can autonomously control the rate at which solar power is delivered to the grid.