The Texas A&M Oilspill Calculator model developed by Dr. Scott Socolofsky and his team is being used by the U.S. National Oceanographic and Atmospheric Administration in its oil spill mode General NOAA Operational Modeling Environment.
Dr. Yu Ding, the Mike and Sugar Barnes Professor in the Department of Industrial and Systems Engineering at Texas A&M University has made a big impact in the wind energy industry with his use of data science to model wind turbine performance and quantify potential upgrades.
The Qatar General Electricity and Water Corporation has signed a new collaborative agreement with the Texas A&M Engineering Experiment Station, represented by its Texas A&M Cybersecurity Center, which aims to strengthen cooperation between both parties for their mutual benefit in a joint activity in relation to cybersecurity.
Two Stanton Nuclear Security Fellows joined the Department of Nuclear Engineering and will work with the Texas A&M Engineering Experiment Station's Center for Nuclear Security Science and Policy Initiatives. The program supports young scholars to pursue policy-relevant technical research in nuclear security.
In July, the Center for Nuclear Security Science and Policy Initiatives (NSSPI) led a workshop on the policy and technical fundamentals of international nuclear safeguards in conjunction with the Institute for Nuclear Materials Management's 59th annual meeting in Baltimore, Maryland.
Distributed Fault Anticipation can not only help utility providers find the cause of outages, but can anticipate and predict failures before an outage occurs, enabling providers to identify potentially dangerous electrical situations before an ignition occurs.
Dr. Ali Mostafavi, a researcher at the Texas A&M Engineering Experiment Station and assistant professor with the Zachry Department of Civil Engineering at Texas A&M University (TAMU), has been awarded a $2 million research grant by the National Science Foundation (NSF) Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) program. CRISP enables response to national critical infrastructure resilience needs while increasingly focusing on interdisciplinary research.