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 ComputingGoogle:
"Anind Dey"Parents
Sign in to add mentor| Gregory D. Abowd | grad student | 1995-2000 | Georgia Tech (Computer Science Tree) | |
| (Thesis: Providing Architectural Support for Building Context-Aware Applications) | ||||
Children
Sign in to add trainee| Brian D. Ziebart | grad student | 2004-2010 | University of Illinois, Chicago |
| Ian A. Li | grad student | 2011 | |
| 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 | |
| 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 |
BETA: Related publications
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Publications
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| 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 |
| Low CA, Li M, Vega J, et al. (2021) Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. Jmir Cancer. 7: e27975 |
| Low CA, Danko M, Durica KC, et al. (2020) A Real-Time Mobile Intervention to Reduce Sedentary Behavior Before and After Cancer Surgery: Usability and Feasibility Study. Jmir Perioperative Medicine. 3: e17292 |
| Chung T, Bae SW, Mun EY, et al. (2020) Mobile Assessment of Acute Effects of Marijuana on Cognitive Functioning in Young Adults: Observational Study. Jmir Mhealth and Uhealth. 8: e16240 |
| 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 |
| Low CA, Dey AK, Ferreira D, et al. (2017) Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study. Journal of Medical Internet Research. 19: e420 |
| Bae S, Chung T, Ferreira D, et al. (2017) Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions. Addictive Behaviors |
| Crooks A, Schechtner K, Dey AK, et al. (2017) Creating Smart Buildings and Cities Ieee Pervasive Computing. 16: 23-25 |
| Arnrich B, Ersoy C, Mayora O, et al. (2016) Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy. Methods of Information in Medicine |