Andrew T. Campbell

A world where mobile AI helps keep people healthy

Current Research Projects

  • The StudentLife project (NIMH) is following 200 students across their four years of college using mobile sensing and brain imaging to study the stress and strains (e.g., stress, anxiety, depression) of college life. The StudentLife project initially started in 2013 with the first study but this is the most ambiguous. Professor Jim Haxby (neuroscientist at Dartmouth College) is PI.
  • The MOTIV project (NIMH) is studying the connection between brain networks and human behavior to understand motivation in patients with serious mental illness. Professor Deanna Barch (psychologyl & brain sciences at Washington University in St. Louis) is PI.
  • The SABLE project (NSF) is using mobile sensing to study personality in a cohort of students at Stanford, UTA and Dartmouth. Professor Sam Gosling (Personality and social psychologist at University of Texas at Austin) is PI.
  • The Crosscheck project (NIMH) is developing models to predict relapse in patients with schizophrenia as part of a randomized control trial at Long Island Hospital. Professor Dror Ben-Zeev (psychiatry and behavioral sciences at University of Washington) is PI.
  • The Voices project (NIH) is developing mobile and ML technology to study people who experience auditory verbal hallucinations. Professor Dror Ben-Zeev (psychiatry and behavioral sciences at University of Washington) is PI.

The Tessera project (IARPA) is studying (N=750, one year duration, 3 companies) the application of mobile sensing and data science to predict workplace performance. Professor Aaron Striegel (computer scientist at the University of Notre Dame) is PI.


Awards

  • ACM SenSys Test of Time Award for our work on CenceMe, 2018
  • Best Video Award ACM MobiCom 2015.
  • Best Demo Award ACM MobiSys 2015.
  • Honorable mention award: ACM Ubicomp 2015.
  • Best paper award at the 1st ACM Workshop on Visible Light Communication (VLC), 2014.
  • Best paper nomination awards ACM Ubicomp 2014.
  • Google Faculty Research Award, 2014.

‚ÄčOur research on CenceMe won the ACM SenSys Test of Time Award 2018. The award committee's citation reads: " At the dawn of the smart phone era, this paper had the foresight to realize that smart phones are human companions and their sensors, collectively, can be used to derive novel social behavior insights. It also pioneered applying machine learning across local devices and servers".


  • Best paper award 4th International Conference on Mobile Computing (MobiCASE), 2012.
  • Best paper nomination award ACM Ubicomp 2011.
  • Friedman Family Fellowship (Dartmouth College), 2009.
  • EPSRC Fellow (UK), Cambridge University, 2003.
  • NSF Faculty Career Development (CAREER) Award, 1999.
  • IBM University Partnership Faculty Award, 1999.
  • AT&T Foundation Faculty Award, 1996.
  • EPSRC Scholarship (UK), Visiting Scholar, Columbia University, 1994.
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