Illinois researchers, in collaboration with the Mayo Clinic, have developed a machine-learning-based approach that uses alpha-rhythm-related features to determine the potential for epilepsy and identify the seizure-generating side of the patient's brain. The results were reported in a paper titled, "Electrophysiological correlates of brain health help diagnose epilepsy and lateralize seizure focus". Yogatheesan Varatharajah, the first author of this paper, was named a finalist in the 2020 Engineering in Medicine and Biology Society Student Paper Competition, chosen from over 1000 submissions. Varatharajah is a graduate of electrical and computer engineering at Illinois and will be joining the department of bioengineering as a research faculty this summer.