非常抱歉,
你要访问的页面不存在,
非常抱歉,
你要访问的页面不存在,
非常抱歉,
你要访问的页面不存在,
验证码:
职称:Assistant Professor
所属学校:Columbia University in the City of New York
所属院系:chemical engineering
所属专业:Chemical Engineering
联系方式:(212) 851-0782
Michael Burke joined the faculty at Columbia University in July 2014 as an Assistant Professor in Mechanical Engineering and member of the Institute for Data Sciences and Engineering (IDSE). He received his Ph.D. in Mechanical and Aerospace Engineering at Princeton University, where he studied the flame properties and chemical kinetics of high-pressure hydrogen combustion. Afterwards, he joined the Chemical Sciences and Engineering Division at Argonne to create interdisciplinary modeling approaches for complex systems frequently encountered in energy devices. He applies these approaches to combustion systems relevant to high-efficiency, low-emissions engines and is also involved in collaborations to apply similar techniques for materials applications (http://www.anl.gov/articles/michael-p-burke). His primary research interests lie at the intersection of diverse areas—multi-scale modeling, data sciences, and automation—applied to mixed-experimental-and-computational investigations of complex reaction networks and reacting flows of advanced combustion and energy applications
Michael Burke joined the faculty at Columbia University in July 2014 as an Assistant Professor in Mechanical Engineering and member of the Institute for Data Sciences and Engineering (IDSE). He received his Ph.D. in Mechanical and Aerospace Engineering at Princeton University, where he studied the flame properties and chemical kinetics of high-pressure hydrogen combustion. Afterwards, he joined the Chemical Sciences and Engineering Division at Argonne to create interdisciplinary modeling approaches for complex systems frequently encountered in energy devices. He applies these approaches to combustion systems relevant to high-efficiency, low-emissions engines and is also involved in collaborations to apply similar techniques for materials applications (http://www.anl.gov/articles/michael-p-burke). His primary research interests lie at the intersection of diverse areas—multi-scale modeling, data sciences, and automation—applied to mixed-experimental-and-computational investigations of complex reaction networks and reacting flows of advanced combustion and energy applications