Texas A&M University was awarded a $4.4 million grant from the National Science Foundation CyberCorps Scholarships for Service (SFS) program, the Texas A&M Cybersecurity Center will administer the Cyber Leader-Scholars Program in partnership with Houston Community College.
The National Science Foundation (NSF) issued one of the first awards through its new Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI) Program to the Texas A&M Engineering Experiment Station (TEES). With the grant TEES, in partnership with seven institutions of higher learning, will host Consejos Colectivos: Improving STEM Success at HSIs—a regional conference for stakeholders in undergraduate Hispanic STEM education—at El Centro College in Dallas Feb. 27-28.
A recent study has added a new dimension to the controversial decision to inject large amounts of chemical dispersants immediately above the crippled oil well at the seafloor during the Deepwater Horizon disaster in 2010. The dispersants may have significantly reduced the amount of harmful gases in the air at the sea surface—reducing health risks for emergency responders and allowing them to keep working to stop the uncontrolled spill and clean up the spilled oil sooner.
The focus of the fifth annual Smart Grid Workshop on the Texas A&M University campus was using smart grids for big data. The workshop was organized by the Texas A&M Engineering Experiment Station’s (TEES) Smart Grid Center after receiving a $1 million grant from the National Science Foundation’s (NSF) Big Data Spokes Program to extend collaboration and innovation using big data for the smart power grid area.
Dr. Robin Murphy, Director of the Texas A&M Engineering Experiment Station’s Center for Emergency Informatics, presented at the White House Frontiers Conference on the campus of the University of Pittsburgh. Murphy was also recently awarded a National Science Foundation National Robotics Initiative grant. Funded by the Department of Energy, the grant will allow Murphy to continue her current research on autonomous robot assistants.
Dr. Michael Bittner and Dr. Aniruddha Datta, both from the Texas A&M Engineering Experiment Station (TEES)-AgriLife Center for Bioinformatics and Genomic Systems Engineering (CBGSE) and the Department of Electrical and Computer Engineering at Texas A&M University, have received a grant from the National Science Foundation (NSF) that will allow them to explore the use of system theoretic approaches to carry out cancer drug identification.