Our Team


Tanzeem Choudhury

Professor

Dave Miller

Postdoctoral Fellow

Alex Adams

PhD Candidate

Vincent Tseng

PhD Candidate

Dan Adler

PhD Student

Yin Li

PhD Student

Yiran Zhao

PhD Student

Projects


Past Projects


News

Presentation at the Frontier of AI-Assisted Care (FAC) Scientific Symposium

Vincent will be presenting the work on Developing Clinically Interpretable Machine Learning Models to Predict Fine-Grained Symptom Trajectory of Schizophrenia and Identify Patients At Risk at the Frontier of AI-Assisted Care Scientific Symposium.

Congratulations to Jean on finishing Ph.D. and starting as postdoctoral fellow!

Jean finished his Ph.D. in the summer of 2019 and started as postdoctoral fellow at Stanford University.

BoostMeUp featured in NewScientist

BoostMeUp has been featured in NewScientist.

Tanzeem Choudhury named ACM Distinguished Member!

Tanzeem Choudhury has been named an ACM Distinguished Member for Outstanding Scientific Contributions to Computing.

AlertnessScanner featured on multiple media!

AlertnessScanner has been featured in Cornell Cronicle, The Cornell Daily Sun, and New Atlas!

Congratulations to Tauhidur on finishing Ph.D. and starting as faculty!

Tauhidur finished his Ph.D. in the winter of 2017 and started as assistant professor at UMass Amherst.

Publications

2019


2018


2017


  • Min Hane Aung, Mark Matthews, and Tanzeem Choudhury. Sensing behavioral symptoms of mental health and delivering personalized interventions using mobile technologies. Depression and anxiety (2017).

  • Saeed Abdullah, Elizabeth L. Murnane, Mark Matthews and Tanzeem Choudhury. Book Chapters. In: Rehg J., Murphy S., Kumar S. (eds) Mobile Health: Sensors, Analytic Methods, and Applications, July 2017pp 35-58. Springer International Publishing,

  • Mashfiqui Rabbi, Min Hane Aung, and Tanzeem Choudhury. Towards Health Recommendation Systems: An Approach for Providing Automated Personalized Health Feedback from Mobile Data. In: Rehg J., Murphy S., Kumar S. (eds) Mobile Health: Sensors, Analytic Methods, and Applications, July 2017, pp 519-542, Springer International Publishing.

2016


  • Saeed Abdullah, Mary Czerwinski, Gloria Mark, and Paul Johns. Shining (blue) light on creative ability. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016.

  • Mark Matthews, Saeed Abdullah, Geri Gay, Tanzeem Choudhury. Detecting and Capitalizing on Physiological Dimensions of Psychiatric Illness. Conference on Physiological Computing Systems. PhyCS, 2016. (In Press)

  • Mark Matthews, Saeed Abdullah, Elizabeth Murnane, Steven Voida, Tanzeem Choudhury, Geri Gay, Ellen Frank. Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorder. Special Issue of Assessment on measuring, modeling, and implementing dynamic processes. Assessment (ASM) (In Press)

2015


2014


2013


2012


2011


2010


2009


2008


Funding

nimh-logo
intel-logo
iarpa-logo
msr-logo
samsung-logo
google-logo

Alumni

Nic Lane (PhD)

Bell Labs and Oxford University

Mi Zhang (postdoc)

Assistant Professor, MSU

Stephen Voida (postdoc)

Assistant Professor, CU-Boulder

Mashfiqui Rabbi (PhD)

Postdoctoral Fellow, Harvard University

Saeed Abdullah (PhD)

Assistant Professor, Penn State

Tauhidur Rahman (PhD)

Assistant Professor, UMass Amherst

Mark Matthews (postdoc)

Chief Technology Officer, HealthRhythms

Akane Sano
(Visiting Scientist)

Assistant Professor, Rice University

Jean Costa (PhD)

Postdoctoral Fellow, Stanford University