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Tanzeem Choudhury

Tanzeem Choudhury

D-Index & Metrics

Computer Science

D-Index
70
Citations
20694
World Ranking
1864
National Ranking
952

Research.com Recognitions

  • 2018 - ACM Distinguished Member

Overview

Tanzeem Choudhury is affiliated with Cornell University in the United States, focusing primarily on psychology, with particular expertise in digital mental health interventions. Their research contributions span experimental and cognitive psychology, applied psychology, clinical psychology, social psychology, and psychiatry and mental health.

The main topics of their work include digital mental health interventions, mental health research topics, and COVID-19 related mental health studies. Additional areas of focus involve mental health treatment and access, anxiety, depression, psychometrics, treatment cognitive processes, emotion and mood recognition, and schizophrenia research and treatment.

Their recent publications include:

  • Banbury Forum Consensus Statement on the Path Forward for Digital Mental Health Treatment (2021), Psychiatric Services
  • Predicting Early Warning Signs of Psychotic Relapse From Passive Sensing Data: An Approach Using Encoder-Decoder Neural Networks (2020), JMIR mhealth and uhealth
  • Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies (2022), PLoS ONE
  • Burnout and the Quantified Workplace: Tensions around Personal Sensing Interventions for Stress in Resident Physicians (2022), Proceedings of the ACM on Human-Computer Interaction
  • Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia (2020), Scientific Reports

Tanzeem Choudhury frequently collaborates with several co-authors, including Daniel A. Adler, John M. Kane, Dror Ben-Zeev, Andrew T. Campbell, and Vincent W.-S. Tseng.

Their work has appeared in various academic venues such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, JMIR mhealth and uhealth, Frontiers in Digital Health, JMIR Formative Research, and GetMobile Mobile Computing and Communications.

In recognition of their contributions, Tanzeem Choudhury was named an ACM Distinguished Member in 2018.

Best Publications

  • A survey of mobile phone sensing

    Nicholas D Lane;Emiliano Miluzzo;Hong Lu;Daniel Peebles

  • A practical approach to recognizing physical activities

    Jonathan Lester;Tanzeem Choudhury;Gaetano Borriello

  • SoundSense: scalable sound sensing for people-centric applications on mobile phones

    Hong Lu;Wei Pan;Nicholas D. Lane;Tanzeem Choudhury

  • The Mobile Sensing Platform: An Embedded Activity Recognition System

    T. Choudhury;S. Consolvo;B. Harrison;J. Hightower

  • The Jigsaw continuous sensing engine for mobile phone applications

    Hong Lu;Jun Yang;Zhigang Liu;Nicholas D. Lane

  • A hybrid discriminative/generative approach for modeling human activities

    Jonathan Lester;Tanzeem Choudhury;Nicky Kern;Gaetano Borriello

  • StressSense: detecting stress in unconstrained acoustic environments using smartphones

    Hong Lu;Denise Frauendorfer;Mashfiqui Rabbi;Marianne Schmid Mast

  • Bewell: A smartphone application to monitor, model and promote wellbeing

    Nicholas Lane;Mashfiqui Mohammod;Mu Lin;Xiaochao Yang

  • A Scalable Approach to Activity Recognition based on Object Use

    Jianxin Wu;A. Osuntogun;T. Choudhury;M. Philipose

  • Face recognition for smart environments

    A. Pentland;T. Choudhury

  • Mobility detection using everyday GSM traces

    Timothy Sohn;Alex Varshavsky;Anthony LaMarca;Mike Y. Chen

  • Unobtrusive sleep monitoring using smartphones

    Zhenyu Chen;Mu Lin;Fanglin Chen;Nicholas D. Lane

  • NeuroPhone: brain-mobile phone interface using a wireless EEG headset

    Andrew Campbell;Tanzeem Choudhury;Shaohan Hu;Hong Lu

  • Automated personalized feedback for physical activity and dietary behavior change with mobile phones: a randomized controlled trial on adults.

    Mashfiqui Rabbi;Angela Pfammatter;Mi Zhang;Bonnie Spring

  • Passive and In-Situ assessment of mental and physical well-being using mobile sensors

    Mashfiqui Rabbi;Shahid Ali;Tanzeem Choudhury;Ethan Berke

  • MyBehavior: automatic personalized health feedback from user behaviors and preferences using smartphones

    Mashfiqui Rabbi;Min Hane Aung;Mi Zhang;Tanzeem Choudhury

  • Sensing and modeling human networks using the sociometer

    T. Choudhury;A. Pentland

  • Darwin phones: the evolution of sensing and inference on mobile phones

    Emiliano Miluzzo;Cory T. Cornelius;Ashwin Ramaswamy;Tanzeem Choudhury

  • Unsupervised activity recognition using automatically mined common sense

    Danny Wyatt;Matthai Philipose;Tanzeem Choudhury

  • CrossCheck: toward passive sensing and detection of mental health changes in people with schizophrenia

    Rui Wang;Min S. H. Aung;Saeed Abdullah;Rachel Brian

Frequent Co-Authors

Andrew T. Campbell
Andrew T. Campbell Dartmouth College
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Mark A. Matthews
Mark A. Matthews University of California, Davis
Matthai Philipose
Matthai Philipose Microsoft (United States)
Jeff A. Bilmes
Jeff A. Bilmes University of Washington
Julie A. Kientz
Julie A. Kientz University of Washington
Sumit Basu
Sumit Basu Microsoft (United States)
Sunny Consolvo
Sunny Consolvo Google (United States)
Daniel Gatica-Perez
Daniel Gatica-Perez Idiap Research Institute

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