European Association for Signal Processing (EURASIP) Seminar
European Association for Signal Processing (EURASIP) Seminar
Sabancı University, Cinema Hall (University Center, Room G030)
Tuesday, November 2, 2010, 13:40-14:50
Research in MIT’s Laboratory for Information and Decision Systems (LIDS)
and in The Stochastic Systems Group
Alan S. Willsky
Edwin Sibley Webster Professor of Electrical Engineering and Computer Science
Director, Laboratory for Information and Decision Systems, MIT
The Laboratory for Information and Decision Systems - created in 1940 as the Servomechanism Lab, evolving into the Electronic Systems Lab and then in the 1970’s into LIDS – has a long and vital history at MIT. In the first part of this talk, a brief introduction to LIDS will be presented, including an overview of the areas of expertise in which LIDS and its faculty and researchers are recognized as national and international leaders, with seminal contributions in theory, methodology, and applications. These areas include: systems and control, optimization, networks and communication, autonomous systems, and statistical inference and estimation.
The second part of this talk will provide an overview of work in statistical inference, machine learning, and their applications being performed in the Stochastic Systems Group in LIDS. This research includes work on very large scale inference problems for remote sensing, medical image analysis, and multi-object tracking; sensor resource allocation; and machine learning methods for a variety of purposes ranging from dimensionality and complexity reduction of high-dimensional data to discovering links and patterns in such data (e.g., for object recognition or for “link discovery” among dynamically evolving processes). Students, staff, and faculty in SSG work on developing and applying methodologies that meet the challenges of applications such as these including scalability and robustness, and in the process not only provide enabling technologies but also make fundamental contributions to cutting edge research areas in signal and image processing, machine learning, and statistics.
Biography
Alan S. Willsky is the Edwin S. Webster Professor of Electrical Engineering and Director of the Laboratory for Information and Decision Systems. Dr. Willsky was a founder, member of the Board of Directors, and Chief Scientific Consultant of Alphatech, Inc. Dr. Willsky has held visiting positions at several institutions in England and France. He has authored more than 200 journal papers and 350 conference papers, as well as two books, including the widely used undergraduate text Signals and Systems. Prof. Willsky has received numerous awards, including the 1975 American Automatic Control Council Donald P. Eckman Award, the 1980 IEEE Browder J. Thompson Memorial Award, the 2004 IEEE Donald G. Fink Prize Paper Award, and an honorary doctorate from Université de Rennes. In 2010 Prof. Willsky received the Technical Achievement Award from the IEEE Signal Processing Society and was elected to the National Academy of Engineering.
Prof. Willsky is the leader of MIT’s Stochastic Systems Group (http://ssg.mit.edu). His early work on methods for failure detection in dynamic systems is still widely cited and used in practice, and his more recent research on multiresolution methods for large-scale data fusion and assimilation has found application in fields including target tracking, object recognition, oil exploration, oceanographic remote sensing, and groundwater hydrology. Dr. Willsky’s present research interests are in problems involving multidimensional and multiresolution estimation and imaging, inference algorithms for graphical and relational models, statistical image and signal processing, data fusion and estimation for complex systems, image reconstruction, discovery of models for complex interacting phenomena, and computer vision.
Sabancı University, Cinema Hall (University Center, Room G030)
Tuesday, November 2, 2010, 13:40-14:50
Research in MIT’s Laboratory for Information and Decision Systems (LIDS)
and in The Stochastic Systems Group
Alan S. Willsky
Edwin Sibley Webster Professor of Electrical Engineering and Computer Science
Director, Laboratory for Information and Decision Systems, MIT
The Laboratory for Information and Decision Systems - created in 1940 as the Servomechanism Lab, evolving into the Electronic Systems Lab and then in the 1970’s into LIDS – has a long and vital history at MIT. In the first part of this talk, a brief introduction to LIDS will be presented, including an overview of the areas of expertise in which LIDS and its faculty and researchers are recognized as national and international leaders, with seminal contributions in theory, methodology, and applications. These areas include: systems and control, optimization, networks and communication, autonomous systems, and statistical inference and estimation.
The second part of this talk will provide an overview of work in statistical inference, machine learning, and their applications being performed in the Stochastic Systems Group in LIDS. This research includes work on very large scale inference problems for remote sensing, medical image analysis, and multi-object tracking; sensor resource allocation; and machine learning methods for a variety of purposes ranging from dimensionality and complexity reduction of high-dimensional data to discovering links and patterns in such data (e.g., for object recognition or for “link discovery” among dynamically evolving processes). Students, staff, and faculty in SSG work on developing and applying methodologies that meet the challenges of applications such as these including scalability and robustness, and in the process not only provide enabling technologies but also make fundamental contributions to cutting edge research areas in signal and image processing, machine learning, and statistics.
Biography
Alan S. Willsky is the Edwin S. Webster Professor of Electrical Engineering and Director of the Laboratory for Information and Decision Systems. Dr. Willsky was a founder, member of the Board of Directors, and Chief Scientific Consultant of Alphatech, Inc. Dr. Willsky has held visiting positions at several institutions in England and France. He has authored more than 200 journal papers and 350 conference papers, as well as two books, including the widely used undergraduate text Signals and Systems. Prof. Willsky has received numerous awards, including the 1975 American Automatic Control Council Donald P. Eckman Award, the 1980 IEEE Browder J. Thompson Memorial Award, the 2004 IEEE Donald G. Fink Prize Paper Award, and an honorary doctorate from Université de Rennes. In 2010 Prof. Willsky received the Technical Achievement Award from the IEEE Signal Processing Society and was elected to the National Academy of Engineering.
Prof. Willsky is the leader of MIT’s Stochastic Systems Group (http://ssg.mit.edu). His early work on methods for failure detection in dynamic systems is still widely cited and used in practice, and his more recent research on multiresolution methods for large-scale data fusion and assimilation has found application in fields including target tracking, object recognition, oil exploration, oceanographic remote sensing, and groundwater hydrology. Dr. Willsky’s present research interests are in problems involving multidimensional and multiresolution estimation and imaging, inference algorithms for graphical and relational models, statistical image and signal processing, data fusion and estimation for complex systems, image reconstruction, discovery of models for complex interacting phenomena, and computer vision.