Workshop on Recent Developments on Mathematical/Statistical approaches in DAta Science (MSDAS)
Department of Mathematical Sciences, The University of Texas at Dallas, May 31-Jun 2, 2019
Overview
Due to the blooming of "big data" and an emerging field of data science, there is a need to bring together researchers from different disciplines to keep up with recent developments. The objectives of this workshop are (1) to facilitate discussions and foster collaborations among the participants with different backgrounds and expertise; (2) to attract new researchers to the field of data science and to offer mentoring service to junior participants in this field; and (3) to bridge the gap between the theoretical development in academia and practical applications in industry. The workshop will be multidisciplinary with topics ranging from scientific computing and statistics to various applications in data science. Besides regular oral/poster presentations, we will host a panel discussion for careers in data science and arrange a tour (up to 20 participants) to visit the Radiation Oncology Clinic at the University of Texas Southwestern Medical Center.
Organizing Committee
Yifei LOU (University of Texas at Dallas)
Steve JIANG (University of Texas Southwestern Medical Center)
Weihong GUO (Case Western Reserve University)
Jing QIN (Montana State University)
Ming YAN (Michigan State University)
Local Organizing Committee
Chao Wang (UTD)
Mengqi Hu (UTD)
Yaghoub Rahimi (UTD)
Mujibur Chowdbury (UTD)
Mehdi Akhavan (UTD)
We can partially support some junior researchers (including postdocs), graduate students, and non-NSF grantees to attend this workshop. Please see Registration page for more details.
Important dates
Feb 28, 2019: Application deadline for travel support.
Feb 28, 2019: Poster submission.
Mar 31, 2019: Notification of travel support/poster presentation acceptance.
Apr 30, 2019: Registration deadline.
Sponsors
The workshop is sponsored by the Department of Mathematical Sciences at the University of Texas at Dallas, Medical Artificial Intelligence and Automation (MAIA) Laboratory at the University of Texas Southwestern Medical Center (UTSW), and the National Science Foundation (NSF).