Nabil Alshurafa

  • 671 Citations
20062022
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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.

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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

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 proceedingConference contribution

Energy Intake
Neck
food
Food
Sensors

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 journalEditorial

Young African American women’s participation in an m-Health study in cardiovascular risk reduction: Feasibility, benefits, and barriers

Kathuria-Prakash, N., Moser, D. K., Alshurafa, N., Watson, K. & Eastwood, J. A., Oct 1 2019, In : European Journal of Cardiovascular Nursing. 18, 7, p. 569-576 8 p.

Research output: Contribution to journalArticle

Risk Reduction Behavior
African Americans
Health
Cardiovascular Diseases
Telemedicine

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 proceedingConference contribution

Nucleotides
Polymorphism
Lipoproteins
Data visualization
Blood pressure