4th International Conference on Big Data and Information Analytics



This conference will take place at Texas Medical Center, BioScience Research Collaborative (BRC), Houston, TX


The purpose of of the 4th International Conference on Big Data and Information Analytics (BigDIA2018) is to promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different perspectives such as computer science, statistics, engineering, informatics, mathematics and other quantitative/computational sciences as well as domain-specific disciplines.

THEMES AND TOPICS include but are not limited to:

  • Fundamental theories for Big Data analytics
    • Statistical theories for Big Data
    • Computer science theories for Big Data
    • Mathematical theories for Big Data
  • Big Data computing: Architecture, database, algorithm, platform, visualization
  • Artificial Intelligence (AI) for Big Data
  • Application areas: EHR and health care Big Data; Bioinformatics; Imaging data; Precision medicine; Big Data prediction and decision-support systems; Finance and economics; Wearable or mobile device data; and Internet business

Authors are kindly requested to submit an abstract of approximately 300 words in English via the online submission system (https://easychair.org/conferences/?conf=bigdia2018). Submission implies willingness of at least one author to register and present at the conference. Authors of abstracts will be scheduled to present your paper in the invited, contributed or poster sessions at the conference. Trainees are encouraged to present at the poster session and participate in the poster award competition. A limited number of travel support is also available.

Abstract Submission Deadline: August 21, 2018
Regular Registration Deadline: August 31, 2018
Short-paper Submission Deadline: June 15, 2018
Notification of Acceptance: July 31, 2018
Final Version Due: August 21, 2018

** For more information about this conference, you can also visit the program page at:
https://sph.uth.edu/divisions/biostatistics/bigdia/ **

Questions: email SPHBigDIAQueries@uth.tmc.edu