The GSU chapter of the ACM presents
Blockchain and Applications
Dr. Juan M. Banda
Department of Computer Science
Georgia State University
If you ask people on the street, maybe one in a couple hundred will be able to define what blockchain is. However, if you ask about Bitcoin, more than half will tell you it is some sort of digital magic that has created millionaires. Ignoring the underlying technology behind Bitcoin (or any other legitimate cryptocurrency, for that matter) is like talking about cars and ignoring the invention of the wheel. In this talk I will provide a high-level overview of what the blockchain is and some of its most exciting applications. I will also mention some of the hands-on things we will be learning in the CSC 4980/6980 Block Chain & Applications course during the Spring 2019 semester.
About the Speaker: At his GSU Panacea Lab<https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.panacealab.org&data=02%7C01%7Cjhayes14%40gsu.edu%7C86cfcc2b5116491562c008d642ccd62b%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C636769844871510833&sdata=rJXCZO5wTO91TdmsONkOLMPQTV%2FYBM8rzNvG7%2BD15ec%3D&reserved=0>, Dr. Juan M. Banda works on building machine learning, computer vision, and NLP methods that help to generate insights from multi-modal large-scale data sources. With applications to precision medicine, medical informatics, and astroinformatics as well as other domains, he works with large volumes of image data, extracting and transforming computer vision image features into large content-based image retrieval systems for NASA's Solar Dynamics Observatory mission. His research interests are not limited to image data; he is also well-versed in extracting terms and clinical concepts from millions of unstructured electronic health records and using them to build predictive models (electronic phenotyping) and mine for potential multi-drug interactions (drug safety). His work in electronic phenotyping includes leading the development of Aphrodite, a tool that allows researchers to build phenotypes using noisy labels. Dr. Banda has published over 45 peer-reviewed conference and journal papers. Prior to becoming an assistant professor of computer science at Georgia State University, Dr. Banda was a postdoctoral scholar, then a research scientist at the Stanford Center for Biomedical Informatics Research. He is an active collaborator with Observational Health Data Sciences and Informatics. His work has been funded by NASA, NSF, and NIH.
Win a valuable door prize!
A Sphero Mini Orange Robot Ball will be given away.
Wednesday, November 7, 2018
12:00 p.m.-1:00 p.m.
Room 217, Student Center East
For more information about the GSU ACM chapter, please visit our website: acm.cs.gsu.edu<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Facm.cs.gsu.edu&data=02%7C01%7Cjhayes14%40gsu.edu%7C86cfcc2b5116491562c008d642ccd62b%7C515ad73d8d5e4169895c9789dc742a70%7C0%7C0%7C636769844871510833&sdata=QfIZoWyRQJaoG7NvhlvrOEAroQ7s6gwwuHz%2F2wQojWg%3D&reserved=0>.
The chapter thanks Jiyong Kwag and John Taylor for renewing their memberships.