News and Events

INF PhD candidate Ira Goldstein and Professor Ozlem Uzuner publishes a paper: "Specializing for predicting obesity and its co-morbidities," Journal of Biomedical Informatics, 2009, 42(5), 873-886

CCIWIT: the William A. Bloom, Women in Technology Scholarship for an undergraduate student(s)

Workforce Issues in Library and Information Science 2 (WILIS 2):

Wii Social:

Tech Valley Code Camp:

Campus Center 375, Nov. 7, 2009, more >>

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CCI will host the 2010 Annual Junior First Lego League Expo in the Capital District

Feburary 6, 2010, 1:00 – 3:30 pm, Campus Center Ballroom
Cost: Free for attendees
Contact: Jennifer Goodall at jgoodall@uamail.albany.edu. or 518-956-8245
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Workforce Issues in Library and Information Science 2 (WILIS 2): Implementing a Model for Career Tracking of LIS Graduates.

The Department of Information Studies will be participating in this national survey of Information and Library Science graduates. WILIS 2 is a three year national project (2007-2010) designed to implement a career tracking model for LIS graduates. The project, funded by the Institute of Museum and Library Services (IMLS) builds on WILIS 1, a comprehensive study of career patterns of graduates of LIS programs in North Carolina. LIS programs have generally lacked the time and resources to systematically survey their graduates. As a result, stakeholders lack an adequate understanding of what happens to LIS graduates. LIS educators, in particular, do not have ongoing data about the extent to which their programs meet students’ expectations, prepare them for the workplace or meet continuing learning needs. Such an understanding will assist in educating and managing the LIS workforce more effectively. U Albany M.S.I.S. and M.L.S. graduates from 2004 – 2008 may be contacted individually with a request to participate in the WILIS 2 project survey. We believe that this is a valuable project with the potential to provide comprehensive career information for our current and future students. In advance, thanks for your time and interest should you agree to participate.

CCIWIT: the William A. Bloom, Women in Technology Scholarship for an undergraduate student(s).

The College of Computing and Information Women in Technology (CCIWIT) program is proud to announce the William A. Bloom Œ85, Women in Technology Scholarship for an undergraduate student(s) at the University at Albany who intends on pursuing a degree in The College of Computing and Information, with demonstrated financial need. The scholarship is for a female student, preferably from Queens or one of the five boroughs. Eligible students can apply through the Financial Aid Office in February 2010. CCIWIT is dedicated to supporting, empowering, and building community among female faculty, graduate, and undergraduate students. The program also encourages girls in middle school and high school to pursue undergraduate and graduate studies in the fields related to computer science, informatics, and information science. As a result, CCIWIT initiatives are designed to address the critical need to bridge the achievement gap and increase access for women to enter the computing and information technology fields. For more information on CCIWIT or the William A. Bloom Œ85, Women in Technology Scholarship, please contact Jennifer Goodall at jgoodall [at] uamail [dot] albany [dot] edu.

The cover of the June 2009 issue of Neural Computing, one of the leading journals in computer science, features a figure from the lead article by CCI's Siwei Lyu and his coauthor, Eero P. Simoncelli

Their research concerns fundamental questions in the study of images and vision: what are the building block of images we encounter in the everyday real world, and what is the best language to describe them? The wisdom of the past two decades has been that images are formed by adding and subtracting simple units and that the mathematical language of linear transformations is the best one to describe them. This paper convincingly refutes this standing theory and describes simple nonlinear transforms that are much more effective. Besides the scientific value, this work will have far-reaching practical impacts on image compression (e.g., a better JPEG algorithm), image authentication (e.g., determining if an image has been "Photo-shopped"), and other important applications with digital images. The article, "Nonlinear Extraction of Independent Components of Natural Images Using Radial Gaussianization," is available at www.mitpressjournals.org/toc/neco/21/6.