News

UCLA is hosting the DAE 2017 Conference on October 12 – 14, 2017

The Design and Analysis of Experiments 2017 (DAE 2017) Conference will be held at UCLA on October 12 – 14, 2017. It is being organized by UCLA professors Hongquan Xu, Statistics and Weng Kee Wong, Biostatistics.

Alyson Fletcher helps launch conference on artificial intelligence and neuroscience

Alyson Fletcher, assistant professor, and eight colleagues have launched a new annual scientific conference. It is called Cognitive Computational Neuroscience. Read about the full story here.

Congratulations to faculty members Mark Handcock, Erin Hartman and Rick Schoenberg who have been awarded FY17 Transdisciplinary Seed Grants

The purpose of the Transdisciplinary Seed Grant Program is to provide funds to foster new transdisciplinary research and scholarship between faculty members from different UCLA departments. The two priorities for the FY17 competition were north campus-led research projects and projects involving big data. The names of our winning faculty members and their projects are below:

Mark Handcock – Reducing Homelessness in LA using Big Data and Predictive Modeling
Erin Hartman – Leveraging Highly Granular Data in Sampling and Analysis of Political Surveys
Rick Schoenberg – Searching for Repeating Foreshocks by Data-mining Massive Continuous Seismic Waveforms

Work on human-robot interactions by Tianmin Shu, Ph.D. student, was just profiled in New Scientist

Congratulations to Tianmin Shu, Ph.D. student and member of the VCLA research group, as his research was recently profiled in New Scientist. The work taught a robot, Baxter, the subtleties of interacting with humans. The article can be found at this link.

Tianmin will be presenting his paper “Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions” at IEEE’s ICRA 2017 (International Conference on Robotics and Automation) in Singapore on May 30, 2017.

Congratulations to MAS student Yuan-Yi Chen who was a member of the 6 person team that won the UCLA / Salesforce Data Science Challenge on August 7, 2017

This competition, for UCLA graduate students and postdoctoral scholars, gets participants to use real student data and statistical analyses to help a nonprofit high school advance their mission of providing the highest level of education and care to their students.

More details regarding this competition can be found at this link.