A man smiling

Dr. Ceyhun Eksin received the award in support of his research and in recognition of his growing leadership in his research area.

Abstract image of a circuit board design

Dr. H. Rusty Harris and his doctoral student identified a new circuit element known as a meminductor which is a variation of its classical counterpart, the inductor.

An illustration of a metal-free, water-based battery and regular lithium-ion batteries

Texas A&M researchers discovered a groundbreaking 1,000% increase in the storage capacity of water-based battery electrodes.

A man holding a certificate

Dr. Guillermo Aguilar was elected to the 2023 class of fellows for the American Institute for Medical and Biological Engineering.

Two smiling men

Drs. Daniel Selva and Nathan Tichenor are honored for their outstanding contributions to engineering and science through their work.

Banner that reads, Two engineering faculty receive 2023 Distinguished Achievement Awards; below are Robin Murphy’s headshot with Robin Murphy, Computer Science and Engineering listed underneath and Kristi Shryock’s headshot with Kristi Shryock, Multidisciplinary Engineering listed underneath

Dr. Robin Murphy and Dr. Kristi Shryock were recently honored with one of the most prestigious awards presented to faculty and staff at Texas A&M University.

A man standing in a lab

Dr. Arum Han is leading a project funded by the Defense Advanced Research Projects Agency to develop and implement a corrosion mitigation strategy by repurposing existing corrosion-causing microbes into a corrosion-resistant "living" coating.

A smiling man

Dr. Abdullah Muzahid is enhancing the field of computer learning by increasing the speed of computer training and reliability of computer decision-making through two research projects.

Dr. Faruque Hasan (left), Akhilesh Gandhi (middle) and Dr. Manali Zantye (right).

Texas A&M University researchers studied the economic feasibility of integrated lithium-ion and sodium-sulfur batteries with individual power plants to store excess energy from renewables, increasing the electric grid's reliability and flexibility.

A smiling woman

Dr. Na Zou and Sirui Ding are working to improve the fairness and effectiveness of machine learning in health care using a fair machine-learning framework to predict graft failure and ensure equitable access to organs.