
Electrical and Computer Engineering
Texas A&M Researchers Receive $5M For Department Of Energy Project
Mar 3, 2023 • 3 min. readEngineering Professor Hamid Toliyat is leading efforts for a multidisciplinary project to design, manufacture and test a lightweight and ultra-efficient electric powertrain for aircraft propulsion.
Arum Han and his team have developed a new technology that can analyze cell properties through the use of single-cell electrorotation, which can aid in many life science applications such as disease diagnosis.
Texas A&M will lead the Department of Energy-funded Energy Frontier Research Center.
A Texas A&M doctoral student is working with professor Sam Palermo to design and test integrated circuits that have the ability to heal from the damaging effects of radiation.
Protecting The Power Grid Through Cyber-Physical Threat Response
May 26, 2022 • 5 min. readThe U.S. Department of Energy project will develop an intrusion response solution for energy management systems in support of power resiliency.
NSF-Funded Project To Enhance Resilience In Next-Generation Wireless Systems
May 10, 2022 • 3 min. readTexas A&M researchers are working to address reliability gaps in current wireless systems and provide an infrastructure for consistent connection.
Wireless Device To Provide New Options For Colorectal Cancer Treatment
Apr 25, 2022 • 4 min. readA Texas A&M team is developing an intracavity device that will allow doctors to eliminate leftover cancer cells during surgery, reducing the need for additional treatments such as chemotherapy.
Targeted Demand Response Reduces Price Volatility Of Electric Grid
Mar 23, 2022 • 3 min. readTexas A&M researchers found that reducing the energy load at strategic locations when supply is strained allows for a reduction in cost for the wholesale market.
Texas A&M computer engineering experts weigh in.
DOE-Funded Research Project To Efficiently Reduce Massive Scientific Data
Oct 5, 2021 • 4 min. readA Texas A&M team led by Byung-Jun Yoon has been awarded $2.4 million to develop new computational techniques to reduce the size of data sets generated in scientific user facilities.