Read the research blog Further Findings.
[Have you or a colleague won a research-related prize or honor? Let the Research Alert know.]
WHEELER NAMED FELLOW IN AMERICAN ACADEMY OF ARTS AND SCIENCES
Dr. Mary Wheeler, a noted computational researcher at The University of Texas at Austin, has been elected a fellow of the American Academy of Arts and Sciences.
Wheeler is director of the Center for Subsurface Modeling at the university’s Institute for Computational Engineering and Sciences (ICES). She also is the Ernest and Virginia Cockrell Chair in the Department of Aerospace Engineering and Engineering Mechanics. She has appointments in the departments of Mathematics and Petroleum Engineering.
News and Information
NIH OFFERS VIRTUAL SCHOOL FOR ELECTRONIC RESEARCH ADMINISTRATION
The National Institutes of Health eRA (electronic Research Administration) Virtual School offers eRA instruction to users anywhere, anytime. The school provides a host of training tools to make using the eRA system easier. It includes interactive tutorials, presentations, user guides, video clips, quick tips, frequently asked questions, and helpful links to eRA resources.
[A sampling of recent quotes by university faculty members and researchers. To be included in this section, let the Research Alert know when you or a colleague have been quoted.]
April 21, 2010
HEADLINE: Do your Christmas lights match your personality?
“We’re sort of itching to be in touch and communicate with people,” said Sam Gosling, a psychology professor at The University of Texas at Austin and author of “Snoop: What Your Stuff Says About You.”
“I think it’s a very basic tendency to know others and to need to be known by others. We jump on these sanctioned opportunities to do that.”
AMERICAN RECOVERY AND REINVESTMENT ACT
The University of Texas at Austin Stimulus Package Web page is online.
DEPARTMENT OF DEFENSE
Congressionally Directed Medical Research Programs
Amyotrophic Lateral Sclerosis
DEPARTMENT OF EDUCATION
Reading for Understanding Research Initiative
Deadlines: Letter of Intent, April 29, 2010 and July 19, 2010; Applications, June 24, 2010 and Sept. 16, 2010
DEPARTMENT OF JUSTICE
Research on Eyewitness Identification Policies and Procedures (Opens pdf)
Deadline: June 14, 2010
ENVIRONMENTAL PROTECTION AGENCY
Computational Toxicology: Biologically-Based Multi-Scale Modeling
Deadline: July 15, 2010
NATIONAL INSTITUTES OF HEALTH
Exploratory Grant Award to Promote Workforce Diversity in Basic Cancer Research
Deadlines: Letter of Intent, May 23, 2010; Application, June 23, 2010
Microbicide Innovation Program
Deadlines: Letter of Intent, June 9, 2010; Application, July 9, 2010
Innovation in Molecular Imaging Probes
Deadlines: Letter of Intent, Aug. 21, 2010; Application, Sept. 21, 2010
NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY
Technology Innovation Program
Innovative research on “Manufacturing and Biomanufacturing: Materials Advances and Critical Processes”
Deadline: July 15, 2010
NATIONAL SCIENCE FOUNDATION
Long Term Research in Environmental Biology
Deadline: July 13, 2010
NSF/DOE Partnership in Basic Plasma Science and Engineering
Deadline: Oct. 8, 2010
ARTS, HUMANITIES AND CULTURE
Humanities Collections and Reference Resources
Deadline: July 15, 2010
OTHER FUNDING OPPORTUNITIES
Breast Cancer Research Foundation-AACR Grant for Translational Breast Cancer Research
Deadline: July 9, 2008
[Let the Research Alert know about your research projects.]
Shaping, Learning and Optimizing Dynamic Networks
RESEARCHERS: Sujay Sanghavi, assistant professor, Department of Electrical and Computer Engineering, principal investigator; Sanjay Shakkottai and Sriram Vishwanath, associate professors, Department of Electrical and Computer Engineering, co-principal investigators
AGENCY: National Science Foundation
This project develops, from the ground up, a new theoretical framework for analyzing and designing algorithms for dynamic ad-hoc wireless networks. This proposal embraces network dynamics as an opportunity to be exploited, not an adversity to be overcome.
The approach is based on four inter-related thrusts:
- 1Incremental Topology Learning: Tracking changes in the network much more efficiently than re-learning entire topology, using sparse “error graph” representations.
- Topology and Traffic Shaping: Controlling the “effective” wireless network topology so that (i) at any instant of time it appears to be highly disconnected to scheduling algorithms, but retains global connectivity over time; and (ii) modifying traffic statistics to ensure statistical spatial correlation decay
- Warm-starting Distributed Algorithms: Message-passing algorithms that can warm-start the optimization based on local knowledge of past solutions
- Proteus – A Mobile Robot Testbed: This project validates its approach via implementation on a mobile robot testbed called Proteus, which is used to optimize algorithms in a practical setting