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Texas ECE alumna Jette Henderson was announced as the recipient of the 2019 American Medical Informatics Association (AMIA) Doctoral Dissertation Award: Honorable Mention. AMIA "is committed to the science and practice of informatics as it relates to clinical care, research, education, and policy."  Dr. Henderson's thesis was on “Learning and Validating Clinically Meaningful Phenotypes from Electronic Health Data.” She completed her PhD at Texas ECE in 2018 under the supervisions of Prof. Joydeep Ghosh.

Texas ECE alumna Jette Henderson was announced as the recipient of the 2019 American Medical Informatics Association (AMIA) Doctoral Dissertation Award: Honorable Mention. AMIA "is committed to the science and practice of informatics as it relates to clinical care, research, education, and policy."  Dr. Henderson's thesis was on “Learning and Validating Clinically Meaningful Phenotypes from Electronic Health Data.” She completed her PhD at Texas ECE in 2018 under the supervisions of Prof. Joydeep Ghosh.

Each year, the D-STOP Symposium brings together top experts in the field of automated vehicles, connected infrastructure and new mobility services to share their emerging research that will impact the future of transportation planning and technology.

The Data-Supported Transportation Operations and Planning Center (D-STOP) from UT Austin met with representatives from local and state government, academia and industry in early April at a symposium designed to collaborate on the future of Smart Cities. The day-long event explored smart transportation systems, collaborative ecosystems, infrastructure-based technology, regional planning and analytics and connected vehicles through a series of panels featuring experts in the field.

In 2013, 32,719 fatalities resulted from traffic crashes, most of which were caused by driver error. Across the globe, people are facing longer commutes and five Texas communities are in the top 26 most congested cities in the United States. Traffic congestion creates about 4.8 billion hours of travel delay and affects the environment through increased carbon footprints and higher fuel consumption.