Namrata Vaswani (http://www.ece.iastate.edu/.namrata/) received a B.Tech. from the Indian Institute of Technology (IIT-Delhi), in 1999 and a Ph.D. from the University of Maryland, College Park, in 2004, both in Electrical Engineering. During 2004-05, she was a postdoc and research scientist at Georgia Tech. Since Fall 2005, she has been with the Iowa State University where she is currently a Professor of Electrical and Computer Engineering. She also holds a courtesy appointment in the dept. of Mathematics. Her research interests lie at the intersection of data science and machine learning for high dimensional problems, signal and information processing, and computer vision and bio-imaging. Her most recent work has been on provably correct and practically useful algorithms for online dynamic robust PCA and for recursive sparse recovery. Prof. Vaswani has served one term as an Associate Editor for the IEEE Transactions on Signal Processing (2009-2012) and is currently an elected member of two technical committees within the Signal Processing Society. She is a recipient of the Harpole-Pentair Assistant Professorship at Iowa State (2008-2009), the Iowa State Early Career Engineering Faculty Research Award (2014) and the IEEE Signal Processing Society Best Paper Award (2014) for her Modified-CS paper published in 2010 in IEEE Transactions on Signal Processing.
Yuejie Chi (http://www2.ece.ohio-state.edu/.chi/) is an associate professor with the department of Electrical and Computer Engineering and the department of Biomedical Informatics at The Ohio State University. She received the Ph.D. degree in Electrical Engineering from Princeton University in 2012, and the B.E. (Hon.) degree in Electrical Engineering from Tsinghua University, Beijing, China, in 2007. She is the recipient of the IEEE Signal Processing Society Young Author Best Paper Award in 2013 and the Best Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) in 2012. She received the Young Investigator Program Awards from AFOSR and ONR respectively in 2015, the Ralph E. Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities in 2014, a Google Faculty Research Award in 2013, the Roberto Padovani scholarship from Qualcomm Inc. in 2010, and an Engineering Fellowship from Princeton University in 2007. She is an Elected Member of the MLSP and SPTM Technical Committees of the IEEE Signal Processing Society since January 2016. She has held visiting positions at Colorado State University, Stanford University and Duke University, and interned at Qualcomm Inc. and Mitsubishi Electric Research Lab. Her research interests include statistical signal processing, mathematical optimization, machine learning and their applications in high-dimensional data analysis, network inference, active sensing and bioinformatics.
Thierry Bouwmans (http://sites.google.com/site/thierrybouwmans/) is an Associate Professor at the University of La Rochelle, France. His research interests consist mainly in the detection of moving objects in challenging environments, and robust PCA applied to background/foreground separation since 2009. He has recently authored more than 50 papers in refereed international journals and conferences in the field of background modeling and foreground detection, and has coauthored two books in CRC Press (background/foreground separation for video surveillance, robust PCA via decomposition in low rank and sparse matrices). His research investigated particularly the use of fuzzy concepts, discriminative subspace learning models and robust PCA in video surveillance. It also concerns full exhaustive surveys on mathematical tools used in foreground/background separation. He served as the lead guest editors in three editorial works: 1) the special issue in MVA on ”Background Modeling for Foreground Detection in Real-World Dynamic Scenes”, 2) the Handbook on ”Background Modeling and Foreground Detection for Video Surveillance” and 3) the Handbook on ”Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing” in CRC Press. He also organized three international workshops in ICIAP 2015, ICCV 2015 and ICCV 2017, respectively. He has been the invited talk in the International Workshop on Background Models Challenge at ACCV 2012. He has supervised five Ph.D. students in this field. He is the coordinator of the BGSlibrary (OpenCV C++ Background Subtraction Library) and LRS library (Matlab Low rank and Sparse matrices Library). He is the creator and the administrator of the Background Subtraction Web Site (33 115 visits and 17 636 visitors) and DLAM Web Site. He is a reviewer for international journals including IEEE (Transactions on Image Processing, Transactions on Multimedia, Transactions on CSVT, etc.), SPRINGER (IJCV, MVA, etc.) and ELSEVIER (CVIU, PR,PRL, etc.), and top-level conferences such as CVPR, ICPR, ICIP, AVSS, etc.