March 23-24, University of Akron
March 24, Purdue University
March 25-27, University of Colorado at Boulder
April 4-6, University of Texas
April 6-7, University of the District of Columbia
April 8-11, New Orleans, LA
April 20-21, Cornell University
April 27-28, University of Hartford
April 29- May 2, Crystal City, VA
June 21-23, Salt Lake City, UT
June 24-27, Salt Lake City, UT
October 11-12,Crystal City, VA
April 29 – May 1, Crystal City, VA
June 21-23, Salt Lake City
June 24-27, Salt Lake City
October 11-12, Crystal City, VA
Anusha Sathyanarayanan Rao is a post-doctoral research scholar in Psychology and Human Development at Peabody College in Vanderbilt University. Her research interests includes studying neural correlates of mathematics and reading development in children and applying neurocognitive theories to understand undergraduate student learning in engineering. She received her Ph.D. in Electrical Engineering from Vanderbilt University in 2012, working on image processing of patient videos to quantify movement disorders.
Jing Fan received the B.S. degree from Beijing Jiaotong University in 2012, Beijing, China. She is currently a graduate student at Vanderbilt University, EECS department. She worked as a teaching assistant for EECE 214 during 2013 summer semester, and designed the labs for the course with Professor Landman.
Cynthia Brame pursed her undergraduate work at Centre College where she earned a BS degree in Biochemistry and Molecular Biology. She then pursued her doctoral work in pharmacology at Vanderbilt University under L. Jackson Roberts, III. She subsequently did post-doctoral research in biological mass spectrometry at the University of Virginia with Dr. Donald F. Hunt. After a ten year period as a biology faculty member Centenary College of Louisiana, Cynthia joined the Center for Teaching at Vanderbilt as an assistant director, where she investigates methods to improve undergraduate learning in the STEM disciplines.
Bennett Landman pursed his undergraduate work at the Massachusetts Institute of Technology where he earned BS and MEng degrees (EECS). After graduation, he studied the application of biophysical models of perception to digital image compression at a startup company and worked at a private neuroimaging laboratory. He pursued his doctoral work in BME at the Johns Hopkins University School of Medicine under Jerry Prince (ECE) and Susumu Mori (BME) where he was selected for a National Defense Science Engineering Graduate Research Fellowship. He did post-doctoral research at Johns Hopkins faculty as an Assistant Research Professor in BME. In January 2009, he joined Vanderbilt as an Assistant Professor of Electrical Engineering where his research focuses on robust image content analysis, modern statistical methods, and imaging informatics to create, investigate, and apply big imaging data to improve patient care. He is an active member of the ISMRM, SPIE, and IEEE societies.
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