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Prof. Edison Thomaz of Texas ECE has received a Google Faculty Research Award for his proposed research work on "Identifying Acoustic Biomarkers of Mental Health and Well-Being in Voice-Based Interactions with Conversational Assistants in the Home". Google Faculty Research Awards is an annual open call for "proposals on computer science and related topics such as machine learning, machine perception, natural language processing, and quantum computing." This year, Google considered 1,033 proposals covering 46 countries and over 360 universities and funded 152 projects from those proposals.

As the adoption of Electronic Health Records (EHRs) increases in the USA, the complexity of EHR data is growing dramatically. EHR data now covers diverse information about patients, including diagnosis, medication, lab results, genomic information and clinical notes. However, such large volumes of information do not readily provide accurate and succinct patient representations for effective and customized healthcare.