Electrical and Computer Engineering

Dr. Zixiang Xiong received a National Science Foundation grant to gain a fundamental understanding of learned source coding — or data compression that uses machine learning — and to create parameters for the unprecedented tools now available through artificial intelligence.

A team of researchers received a National Science Foundation grant, in collaboration with the National Science and Technology Council of Taiwan, to develop a framework for optimized data communication that combines electronic and photonic systems.

Dr. Narasimha Reddy recently received a National Science Foundation grant to make digital manufacturing more secure through a collaborative space for research in cybersecurity with educators and scientists across the country.

The Texas A&M RoboMasters Robotics team placed first overall in the 1-versus-1 competition and third overall in the 3-versus-3 competition at the annual RoboMaster North American Regional competition.

Dr. Soaram Kim has developed a remote health and environmental monitoring system, integrated with machine learning, that can be used to detect various viruses, bacteria and cancers.

Researchers with the Institute for Quantum Sciences and Engineering at Texas A&M University and the Texas A&M Engineering Experiment Station have developed a new technique that vastly improves readings of protein-to-ligand interactions through Raman spectroscopy.

Dr. Le Xie is working to bring more awareness to the importance of data science integration as it relates to the power grid.

Paul Deere received his undergraduate degree in electrical engineering from Texas A&M University in 1992 and used his entrepreneurial spirit to solve a problem for the oil and gas industry.

Dr. Le Xie organized a National Science Foundation conference in April, which brought together multidisciplinary researchers from various universities and organizations in an effort to decarbonize the energy and transportation sectors.

Dr. Suin Yi is working to develop a new computing system known as a memristor computer.