Last year has been really productive and exciting for us at CCL.
It started off with 2 very successful PhD defences by Marin and Klemo in November and December of 2013. Goran and Ivan were soon to follow and defended their PhD theses in February and March.
Some really interesting research papers were published too:
Goran got to publish a journal paper in the IEEE Transactions on Dependable and Secure Computing, Marin in the IEEE Transactions on Services Computing and Klemo in the Expert Systems with Applications.
We are looking forward to an even more successful 2015!
Talk on Fri 2/22, Huawei, Santa Clara, CA – Consumer Computing: Introduction
Introduction to Consumer Computing – UC Irvine colloquium, Feb 4 2013, 11am http://www.cecs.uci.edu
USC colloquium, Talk Title: Consumer Computing: Introduction, Feb 6 2013, 2:30pm http://viterbi.usc.edu/news/events/?event=9365 …
IT Professional, September/October 2011 (Vol. 13, No. 5) pp. 12-14
Several trends are shaping the current and future Web and its apps, and the emerging landscape is exciting. However, we’ll need to address numerous technical, developmental, operational, organizational, and societal challenges. The new discipline of Web science refers to the study of the Web’s evolution and its impact on society, business, and government. This special issue presents a glimpse of the future of Web apps and their development.
By Abraham Bernstein, Mark Klein, Thomas W. Malone
Communications of the ACM, Vol. 55 No. 5, Pages 41-43
appsbar is the world’s largest app community. In 30 minutes or less you can have a new app…and with our new “app-commerce” you can sell your products and services through your app. There’s no programming, no charge, and no hassle to create and publish your app with appsbar.
University of Vermont (08/14/12) Joshua E. Brown
“University of Vermont researchers recently completed a study that aimed to discover if volunteers who visited two different Web sites could pose, refine, and answer questions of each other that could effectively predict the volunteer’s body weight and home electricity use. The researchers found that the self-directed questions and answers led to computer models that accurately predict a user’s monthly electricity usage and body mass index. “It’s proof of concept that a crowd actually can come up with good questions that lead to good hypotheses,” says Vermont professor Josh Bongard. However, the researchers acknowledge that the variables revealed by the questions and answers on the Web sites are correlated outcomes and not actual causes. “We’re not arguing that this study is actually predictive of the causes, but improvements to this method may lead in that direction,” says Vermont professor Paul Hines. The researchers see the new method as a way to help accelerate the process of scientific discovery. “We’re looking for an experimental platform where, instead of waiting to read a journal article every year about what’s been learned about obesity, a research site could be changing and updating new findings constantly as people add their questions and insights,” Bongard says.“