SIAM Texas/Louisiana Sectional Conference in Applied Mathematics

该奖项支持学生和初级研究人员参加将于2019年11月1日至3日在德克萨斯州达拉斯举行的SIAM（工业与应用数学学会）德克萨斯州和路易斯安那州分会第二届分会会议。会议将由南卫理公会大学主办。会议计划包括三个全体会议：一个关于人工智能在医学中的应用，另外两个关于成像和地震学的数学。届时将有一系列关于生物、医学、计算机科学、材料、通信和能源科学应用的小型研讨会，以及当前的主题，如机器学习。此外，还将有一个工业小组，讨论学术界以外应用数学家的就业机会。会议的形式使本科生、研究生和年轻的研究人员很容易与在科学前沿研究跨学科问题的顶尖数学家直接互动。已尽一切努力确保妇女和其他代表性不足的成员参与数学小组，从而增加区域应用数学研究界的多样性。会议将讨论的科学主题包括医学中的人工智能、水力压裂中的不确定性量化、逆问题及其在医学成像中的应用、非线性波和湍流的数值方法、生物和复杂流体的模拟、高维数据的图形正则化、生态学和流行病学中的种群动态建模，以及机器学习数学等新的研究课题。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This award supports participation of students and junior researchers in the Second Sectional Meeting of the Texas and Louisiana Section of SIAM (Society for Industrial and Applied Mathematics) to be held in Dallas, Texas on November 1-3, 2019. The conference will be hosted by Southern Methodist University. The conference program is available online at http://faculty.smu.edu/sxu/SIAMTXLA19/index.html The conference program contains three plenary talks: one on applications of Artificial Intelligence in Medicine and two others on on the mathematics of imaging and seismology. There will be a wide-ranging list of minisymposia on applications to biology, medicine, computer science, materials, communications, and energy science, as well as current topics such as machine learning. In addition, there will be an industrial panel which will address job opportunities for applied mathematicians outside academia. The conference format makes it easy for undergraduate students, graduate students, and young investigators to directly interact with the leading mathematicians who work on interdisciplinary problems at the frontiers of science. Every effort has been made to ensure participation of women and members of other under-represented in mathematics groups, thus increasing the diversity of the regional applied mathematics research community.The scientific topics to be discussed at the conference include artificial intelligence in medicine, uncertainty quantification in hydraulic fracturing, inverse problems and their applications to medical imaging, numerical methods for nonlinear waves and turbulence, simulations of biological and complex fluids, graph regularization of high dimensional data, modeling population dynamics in ecology and epidemiology, as well as new research topics such as mathematics of machine learning.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.