A cross-disciplinary team of Texas A&M University researchers lead by statistician Bani Mallick has been awarded a three-year, $1.5 million Transdisciplinary Research In Principles of Data Science (TRIPODS) grant from the National Science Foundation (NSF) to establish a new institute, the Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS).
This is a recognition of the scholarship, personal commitment, and global impact awardees are making as they rise to meet challenges of their filed and demonstrate impact.
Dr. Yu Ding received the 2019 Technical Innovation Award from the Institute & System Engineers (IISE) for his outstanding work on data science for wind energy applications.
The team received $4.4M for their project "Secure Monitoring and Control of Solar PV Systems through Dynamic Watermarking."
FIDS partially sponsoring the workshop on on OpenVINO tool kits. OpenVINO stands for Open Visual Inference and Neural Network Optimization. It is a toolkit provided by Intel to facilitate faster inference of deep learning models.
Two faculty members from the Texas A&M University College of Engineering were selected to receive a 2020 Distinguished Achievement Award for research from Texas A&M and The Association of Former Students.
As the COVID-19 outbreak swept through Manhattan and the surrounding New York City boroughs earlier this year, electricity usage dropped as businesses shuttered and people hunkered down in their homes.
The novel coronavirus disease (COVID-19) pandemic resulted in an unprecedented lock-down of the United States. After weeks of lock-down, states reopening has raised concerns about potential exacerbation of the epidemic.
US-based researchers have developed a super-resolution image processing method for paired electron images to improve the quality of low-resolution electron micrographs.