Grants per year
Personal profile
Research Interests
My research efforts focus on developing data analytic methods and systems to quantify and model behaviors through cutting-edge passive sensing technologies. My lab conducts research developing these systems and methods to understand, detect, predict and ultimately prevent behavioral risk factors (obesity, poor diet, and physical inactivity). I collaborate closely with behavioral intervention researchers in order to design theoretically useful personalized and generalized models, sensors and systems for evidence-based practice.
Education/Academic qualification
PhD, University of California-Los Angeles
… → 2015
MS, University of California-Los Angeles
… → 2010
Research interests
- Big Data
- Cardiovascular Diseases
- Diet and Behavioral Medicine
- Nutrition / Dietetics
- Obesity
- Physical activity
- Preventive Medicine
- Public Health
Fingerprint Dive into the research topics where Nabil Alshurafa is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Monitoring
Engineering & Materials Science
Health
Engineering & Materials Science
Sensors
Engineering & Materials Science
Nutrition
Engineering & Materials Science
Accelerometers
Engineering & Materials Science
Smartphones
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Medication Adherence
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2016 2022
- 5 Active
Participant Support Stipends for DCL: SaTC: Early-Stage Interdisciplinary Collaboration: Privacy Enhancing Framework to Advance Behavior Models
6/15/19 → 5/31/21
Project: Research project
Costs
Cameras
Consumer behavior
Health care
Medicine
DCL: SaTC: Early-Stage Interdisciplinary Collaboration: Privacy Enhancing Framework to Advance Behavior Models
Alshurafa, N., Graham, A. K., Hester, J. D., Katsaggelos, A. K. & Spring, B.
6/15/19 → 5/31/21
Project: Research project
Costs
Cameras
Consumer behavior
Health care
Medicine
SenseWhy: Overeating in Obesity Through the Lens of Passive Sensing
National Institute of Diabetes, Digestive and Kidney Diseases
1/1/18 → 11/30/22
Project: Research project
Learning systems
Lenses
Sensors
Nutrition
Set theory
U.S. Educational Partnerships
Alshurafa, N., Calkins, S. C., Drane, D. L. & Goldberg, B. B.
An-Najah National University, U.S. Consulate General Jerusalem
9/30/16 → 9/30/19
Project: Research project
Supplement for A comparison of interventions to teach patients skin self-examination
Alshurafa, N. & Robinson, J. K.
4/1/16 → 3/31/20
Project: Research project
Self-Examination
Skin
Melanoma
Randomized Controlled Trials
Survivors
Research Output 2006 2019
Estimating caloric intake in bedridden hospital patients with audio and neck-worn sensors
Zhang, S., Nguyen, D., Zhang, G., Xu, R., Maglaveras, N. & Alshurafa, N., Feb 21 2019, Proceedings - 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018. Institute of Electrical and Electronics Engineers Inc., p. 1-2 2 p. (Proceedings - 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Energy Intake
Neck
food
Food
Sensors
Variation in daily ultraviolet radiation exposure and sun protection behaviours of melanoma survivors: an observational single-arm pilot study with a wearable sensor
Xu, S., Stump, T. K., Jain, J., Alshurafa, N. & Robinson, J. K., Feb 1 2019, In : British Journal of Dermatology. 180, 2, p. 413-414 2 p.Research output: Contribution to journal › Letter
Solar System
Melanoma
Radiation Exposure
Welcome Message from the General Chairs
Alshurafa, N., Misra, A. & Mukherji, A., Mar 1 2019, In : 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. 8730862.Research output: Contribution to journal › Editorial
Analyzing the Mutation Frequencies and Correlation of Genetic Diseases in Worldwide Populations Using Big Data Processing, Clustering, and Predictive Analytics
Sawada, K., Clark, M. W., Alshurafa, N. & Pourhomayoun, M., Dec 4 2018, Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017. Tinetti, F. G., Tran, Q-N., Deligiannidis, L., Yang, M. Q., Yang, M. Q. & Arabnia, H. R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1459-1464 6 p. 8561018. (Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Nucleotides
Polymorphism
Lipoproteins
Data visualization
Blood pressure
1
Citation
(Scopus)
Daily Minutes of Unprotected Sun Exposure (MUSE) Inventory: Measure description and comparisons to UVR sensor and sun protection survey data
Stump, T. K., Aspinwall, L. G., Gray, E. L., Xu, S., Maganti, N., Leachman, S. A., Alshurafa, N. & Robinson, J. K., Sep 1 2018, In : Preventive Medicine Reports. 11, p. 305-311 7 p.Research output: Contribution to journal › Article
Computer Security
Solar System
Radiation
Equipment and Supplies
Skin Neoplasms