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Anind Dey

Professor, and Director, Human-Computer Interaction Institute

[Email]

Anind Dey

Research Areas

Mobility, Privacy Protection, Secure Home Computing, Trustworthy Computing Platforms and Devices

Cross Cutting Thrusts

Next Generation Threat Prediction and Response, Threat Analysis and Modeling, Usable Privacy and Security

Biography

Anind Dey is a computer scientist. He is currently an associate professor in the Human-Computer Interaction Institute at Carnegie Mellon University. His research interests lie at the intersection of human-computer interaction and ubiquitous computing, focusing on how to make novel technologies more usable and useful. In particular, he builds tools that make it easier to build useful ubiquitous computing applications and supporting end users in controlling their ubiquitous computing systems.

His research interests are feedback and control in ubiquitous computing, context-aware computing, toolkits and end-user programming environments, sensor-rich environments, information overload, ambient displays, privacy, human-computer interaction. He is among the most prolific authors in computer science and human-computer interaction.

Education

Ph.D. in Computer Science at Georgia Tech in 2000.

Masters of Science in AeroSpace Engineering from Georgia Tech in 1995.

Masters of Science, Computer Science at Georgia Tech

Bachelors of Applied Science in Computer Engineering from Simon Fraser University in Burnaby, Canada in 1993.

Professional Background

Dey was a member of the Future Computing Environments research group in the College of Computing at Georgia Tech. Gregory Abowd was my advisor. He was also a Senior Researcher at Intel Research Berkeley from 2001-2004, where his title was Ubicomp Software Architect. At the same time, Dey was an Adjunct Assistant Professor in the EECS Department at UC Berkeley, where he was a member of GUIR, the Group for User Interface Research.

Research Projects

Accountable Mobile Computing Framework Based on User Behavior Modeling

Research Area: Secure Home Computing | Mobility | Privacy Protection | Trustworthy Computing Platforms and Devices
Cross Cutting Thrusts: Next Generation Threat Prediction and Response | Threat Analysis and Modeling
Researchers: Martin Griss, Anind Dey, Joy Zhang

Semantic Geotagging for Situational Awareness During Disaster Response

Research Area: Mobility | Trustworthy Computing Platforms and Devices
Cross Cutting Thrusts: Usable Privacy and Security
Researchers: Martin Griss, Anind Dey, Ray Bareiss, Steven Rosenberg, Joy Zhang

Securable, Usable Context Toolkit for Mobile Applications

Research Area: Mobility
Cross Cutting Thrusts: Usable Privacy and Security
Researchers: Martin Griss, Anind Dey, Pei Zhang, Joy Zhang

Usable security and privacy for context-aware mobile applications

Research Area: Mobility
Cross Cutting Thrusts: Usable Privacy and Security
Researchers: Martin Griss, Anind Dey, Pei Zhang

Publications

"The Usability Impact of Prefetching and Caching on Cloud-sourced Applications". B. Taylor, A. Yoshihisa, M. Satyanarayanan, A. Dey, D. Siewiorek, and A. Smailagic, SigMobile, 2014.

"Using Physiological Sensors to Detect Levels of User Frustration Induced by System Delays". B. Taylor, A. Dey, A. Smailagic, and D. Siewiorek, CHI: Conference Proceedings, Conference on Human Factors in Computing Systems.

"Democratization of healthcare through self-monitoring technologies". Pavel, D., Callaghan, V. and Dey, A.K. Proceedings of Pervasive Health 2010. (pdf)

"Looking back in wonder: How self-monitoring technologies can help us better understand ourselves". Pavel, D., Callaghan, V. and Dey, A.K. Proceedings of Intelligent Envrionments 2010. (pdf)

"Maximum Causal Entropy Correlated Equilibria for Markov Games". Ziebart, B., Bagnell, J.A., and Dey, A.K. To appear in the Proceedings of the Workshop on Interactive Decision Theory and Game Theory, at AAAI 2010.(pdf)

"Modeling interaction via the principle of maximum causal entropy". Ziebart, B., Bagnell, J.A., and Dey, A.K. To appear in the Proceedings of International Conference on Machine Learning (ICML 2010). (pdf)

"Towards maximizing the accuracy of human-labeled sensor data". Rosenthal, S. and Dey, A.K. To appear in the Proceedings of Intelligent User Interfaces (IUI 2010). (pdf)