Apu Kapadia is interested in topics related to computer security and privacy. He is particularly interested in usable security and HCI; pervasive computing in the context of cameras, wearables, and IoT; and accountable anonymity.
Research Areas:
- Artificial Intelligence and Machine Learning
- Security and Privacy
- Systems and High Performance Computing
Research Areas:
- Human Computer Interaction and Design
- Health@Luddy - Crosscutting
- Security and Privacy
- Data Science
- HCI@Luddy - Crosscutting
- Artificial Intelligence and Machine Learning
- Systems and High Performance Computing
My research focuses on computer security and privacy with an emphasis on usable security and human centered computing. A large body of my research has focused on privacy in the context of 'IoT' and ubiquitous computing (where computers are 'everywhere' and not always accompanied by a display or keyboard), as well as social networks.
My recent work is centered on privacy in the context of pervasive photography, where in this case digital cameras are 'everywhere' (e.g., as smartphones or wearable cameras), and photo sharing has become more socially networked. Moreover, I am also examining how cameras as assistive devices can improve privacy for people with visual impairments.
He is particularly interested in accountable anonymity; pervasive, mobile, and wearable computing; human factors; crowdsourcing; and peer-to-peer networks.
Apu is an active researcher in security and privacy and is particularly interested in anonymizing networks, usable security, security in peer-to-peer and mobile networks, and applied cryptography.
Subject Area: Secure Computing
Prof. Kapadia's research focuses on computer security and privacy issues in the context of social networks and wearable and sensor-enabled computing.
