Anind K. Dey

Affiliations: 
2001-2004 Intel Research 
 2005-2018 Human-Computer Interaction Institute Carnegie Mellon University, Pittsburgh, PA 
 2018- Information School University of Washington, Seattle, Seattle, WA 
Area:
Computer Science, Human-Computer Interaction, Mobile Computing, Machine Learning, Ubiquitous Computing
Google:
"Anind Dey"

Parents

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Gregory D. Abowd grad student 1995-2000 Georgia Tech (Computer Science Tree)
 (Thesis: Providing Architectural Support for Building Context-Aware Applications)

Children

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Brian D. Ziebart grad student 2004-2010 University of Illinois, Chicago
Ian A. Li grad student 2011 Google
Scott Davidoff grad student 2004-2011 NASA Jet Propulsion Laboratory
Matthew Lee grad student 2012 FXPAL
Brian Y. Lim grad student 2012 National University of Singapore
Stephanie L. Rosenthal grad student 2012 Carnegie Mellon
Senaka Buthpitiya grad student 2014 Google
Gabriela Marcu grad student 2014 University of Michigan
Christian Koehler grad student 2015 Samsung
Adrian de Freitas grad student 2017 Air Force
Nikola Banovic grad student 2012-2018 Carnegie Mellon
Momin Malik grad student 2019 Harvard College
Brandon Taylor grad student 2019
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Publications

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Dutcher JM, Lederman J, Jain M, et al. (2022) Lack of Belonging Predicts Depressive Symptomatology in College Students. Psychological Science. 9567976211073135
Nurius PS, Sefidgar YS, Kuehn KS, et al. (2021) Distress among undergraduates: Marginality, stressors and resilience resources. Journal of American College Health : J of Ach. 1-9
Morris ME, Kuehn KS, Brown J, et al. (2021) College from home during COVID-19: A mixed-methods study of heterogeneous experiences. Plos One. 16: e0251580
Zhao S, Xu Y, Ma X, et al. (2020) Gender Profiling From a Single Snapshot of Apps Installed on a Smartphone: An Empirical Study Ieee Transactions On Industrial Informatics. 16: 1330-1342
Price S, Chikersal P, Doryab A, et al. (2020) 0258 Early Semester Sleep Variability Predicts Depression Among College Students Sleep. 43: A98-A98
Sefidgar YS, Seo W, Kuehn KS, et al. (2019) Passively-sensed Behavioral Correlates of Discrimination Events in College Students. Proceedings of the Acm On Human-Computer Interaction. 3: 1-29
Doryab A, Villalba DK, Chikersal P, et al. (2019) Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data. Jmir Mhealth and Uhealth. 7: e13209
Sefidgar YS, Seo W, Kuehn KS, et al. (2019) Passively-sensed Behavioral Correlates of Discrimination Events in College Students Proceedings of the Acm On Human-Computer Interaction. 3: 1-29
Xu X, Chikersal P, Doryab A, et al. (2019) Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students Proceedings of the Acm On Interactive, Mobile, Wearable and Ubiquitous Technologies. 3: 1-33
Zhao S, Li S, Ramos J, et al. (2019) User profiling from their use of smartphone applications: A survey Pervasive and Mobile Computing. 59: 101052
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