Electrical and Computer Engineering

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

Dr. Jeyavijayan "JV" Rajendran plans to develop comprehensive cybersecurity for industrial-control systems found in power plants, gas pipelines, oil refineries and nuclear facilities as part of the Texas A&M University ASCEND program.

Dr. Mladen Kezunovic is leading a team of Texas A&M researchers as part of a larger consortium of experts to bridge the gap between smart grid, storage and renewable energy research and facilitate their subsequent adoption by utilities worldwide.

Dr. Chao Tian and Dr. Ruida Zhou are developing balanced and comprehensive understandings of the tradeoffs between general information retrieval systems constraints.

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.

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 research paper by Drs. Raffaella Righetti and Md. Tauhidul Islam has been cited more than 100 times, earning it a spot in the top 1% of publications in clinical medicine.

Dr. Hamid Toliyat is leading efforts for a multidisciplinary project to design, manufacture and test a lightweight and ultra-efficient electric powertrain for aircraft propulsion.