Recent News & Accomplishments

From Data Analytics to Models: Developing New Tools to Combat COVID-19 through Computing

 2011

Professor Dianne O'Leary was the 2011 Norbert Wiener Lecturer for Tufts University.  read more
April 2, 2011 NY Times, "Slipstream: When the Data Struts Its Stuff". Ben Shneiderman discusses the state of visual analytics. Full story  read more
Distinguished Seminar Series on Vision in honor of Prof. Azriel Rosenfeld presents Michael A. Arbib, University of Southern California, Template construction grammar and the generation of descriptions of visual scenes". Date: April 1, 2011 Time: 11:00 am Location: A.V. Williams Building, Room 2460 To explore how linguistic processes relate to brain mechanisms which integrate action and perception, we have developed a new kind of semantic representation, SemRep, and a system called Template Construction Grammar (TCG) in which constructions compete and cooperate to cover the SemRep to produce a...  read more
A student poster presented by Yakov Kronrod (Linguistics), featuring work by Yakov, Chang Hu (CS), Olivia Buzek (CS and Linguistics undergrad), and Alexander J. Quinn (CS), has been named the winning poster in the Math, Technology, and Engineering category at the 2011 AAAS Student Poster Competition.  read more
Assistant Professor Mohammad Hajiaghayi has won a Young Investigator Award (YIP) from the Navy. His proposal was one of twenty-one awards selected from more than 270 applications. Recipients will receive approximately $170,000 in annual research over a three year period. A list of the 2011 YIP winners can be found at http://go.usa.gov/2mC . Mohammad was the only Computer Scientist selected for this prestigious award.  read more
Carl Kingsford receives NSF Career Award.  read more
CVL Seminar: Namrata Vaswani, Recursive Sparse Recovery and Applications in Dynamic Imaging". Date: March 30, 2011 Time: 11:00 am Location: AV Williams 1146 In this talk, I will discuss our recent work on Recursive Sparse Recovery (RecSparsRec) and show how it provides novel solutions to two very different problems in dynamic imaging. RecSparsRec refers to recursive approaches to causally recover a time sequence of signals/images from a greatly reduced number of measurements (compared to existing approaches), by utilizing their sparsity. I will also briefly talk about our ongoing work on the...  read more
CVL Seminar: Daniel Glasner, Contour Based Joint Clustering of Multiple Segmentations". Date: March 29, 2011 Time: 11:00 am Location: AV Williams 3258 We present an unsupervised shape based method for joint clustering of multiple image segmentations. Given two or more tightly related images, such as close frames in a video sequence, or images of the same scene taken under different lighting conditions, our method generates a joint segmentation of the images. We introduce a novel contour based representation that allows us to cast the shape-based joint clustering problem as a quadratic semi-...  read more
During the past few months, twelve students have been researching and preparing for the Collegiate Cyber Defense Competition. After winning a qualifying round against the defending champions and gaining a place in the regional finals, the team sent eight of their most qualified members to compete in the Mid-Atlantic regional CCDC. The team was put to the test at the competition as a thirty member red team sent attacks ranging from back doors and scripts to a late night hardware attack and Nerf gun firing squad. After two days of defending their boxes against the relentless red team attacks...  read more
Distinguished Seminar Series on Vision in honor of Prof. Azriel Rosenfeld presents Bill Freeman, MIT, Removing blur due to camera shake from images". Date: March 11, 2011 Time: 11:00 am Location: CSIC Building, Room 1115 "Blind deconvolution" is a beautiful, ill-posed problem: given an image that has been blurred by some unknown convolution kernel, estimate the image before it was blurred. Lurking within this problem are nice, deep questions: What is an image, and how can you tell when one has been blurred? How should we solve very underdetermined inference problems?  read more