As I transitioned into the Master's program here, having decided to stay for graduate school, I focused on a promising application of VLC: vehicle-to-vehicle communications. Although vehicular networking remains a promising application of VLC, I shifted to indoor applications of VLC when my vehicular network research funding ran out.
Currently, as research for my Ph.D., I am investigating MIMO VLC receivers; specifically, I am investigating imaging and non-imaging VLC receivers to multiply link capacities through spatial multiplexing.
Our lab seeks to integrate visible light communications (VLC) with indoor lighting using light emitting diodes (LEDs). To realize this objective, we have created networked, color-controllable LED lights; high brightness, white-light VLC transmitters; and integrated VLC communication systems. Currently, I am investigating and developing cameras to receive and electronically track multiple VLC transmitters simultaneously.
Future home and office automation systems (often called "smart rooms" or "smart spaces") will capture and process vast quantities of data about their occupants. Using information from user profiles and networked sensors, smart rooms will not only anticipate the needs of the people inside, they will also optimize building functions, such as lighting, for energy efficiency. However, this information can also be abused for less desirable purposes.
For example, an adversary who can access the smart room's data may be able to infer the private activities, habits, and relationships of smart room occupants. My research investigates potential mitigations for the threat to privacy posed by smart rooms, including the application of access control, k-anonymity, and differential privacy.
Emerging vehicular networking (or vehicle-to-vehicle communication) systems, will enable cars, trucks, and other vehicles to automatically share information with each other. This capability provides the potential for vehicles to cooperate with each other (e.g., to improve transportation efficiency or safety). I explore this use case of vehicular networks and investigate the challenges iherent in using information from untrusted sources. This research lays the foundation for secure and privacy-preserving cooperation between vehicles, even in safety critical applications and with misbehaving or malicious participants.