Andrew Thomas Campbell

Professor of Computer Science

I am an expermental computer scientist working in mobile computing. I am interested in using embedded sensors and machine learning on phones and wearables to infer human behavior with applications to health, particularly mental health. I lead the StudentLife study at Dartmouth. Checkout my Google scholar page and h-index ranking for more information about my research.

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Personal Website
Sudikoff 260
HB 6211
Department:
Computer Science
Education:
B.Sc. Aston University
M.Sc. City University
Ph.D. Lancaster University

Related Links

Selected Publications

See Google scholar page for all publications.

Rui Wang, Peilin Hao, Gabriella Harari, Xia Zhou,  and Andrew T. Campbell, SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), September 2015. Honorable Mention Award.

Tianxing Li, Chuankai An, Xinran Xiao, Andrew T. Campbell, and Xia Zhou. Real-Time Screen-Camera Communication Behind Any Scene. ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), May 2015. Best Video Award

Tianxing Li, Chuankai An, Zhao Tian, Andrew T. Campbell, and Xia Zhou,  Human Sensing Using Visible Light Communication, 21st Annual International Conference on Mobile Computing and Networking (MobiCom), September  2015.

Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T. Campbell, StudentLife: Assessing Behavioral Trends, Mental Well-being and Academic Performance of College Students using Smartphones, ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2014), September 2014. Best Paper Nomination Award

Tianxing Li, Chuankai An, Andrew T. Campbell, and Xia Zhou. HiLight: Hiding Bits in Pixel Translucency Changes. ACM Workshop on Visible Light Communication Systems (VLCS), 2014. Best Paper Award.