This event is co-sponsored by the Arts & Sciences Departments of Computer Science, Mathematical Sciences, Physics, and Psychology and the POET Center for Business Analytics in the Beacom School of Business.
The 2019 Symposium on Data Harnessing explores opportunities for better analysis, modeling and prediction using Artificial Intelligence (AI), Machine Learning (ML) and supercomputing. Data harnessing in big data is explored using practical applications in healthcare, business and more.
This event is free, but registration is required. We hope that you can attend the entire event, but individual session attendance is welcome to better accommodate your schedule.
The symposium takes place in the Muenster University Center Ballroom on USD's campus.
|9:30 - 9:45 a.m.||Welcome|
|9:45 - 10:45 a.m.||AI For Augmenting Medical Decision Making: Promise, Potential, Pitfalls
Sameer Antani, Ph.D., Senior Researcher
National Library of Medicine, National Institutes of Health
|10:50 - 11:50 a.m.||Data – The Key Asset of an Organization
Steve Cross, VP and Senior Leader, Data and Analytics
Great West Casualty Company
|11:50 a.m. - 12:35 p.m.||Lunch|
|12:40 - 1:40 p.m.||Big Computing in High Energy Physics
David Toback, Ph.D., Professor of Physics & Astronomy
Mitchell Institute at Texas A&M University
|1:45 - 2:45 p.m.||Harnessing Restricted Federal Data for Research
John Anderson, Ph.D., Executive Director
Central Plains Research Data Center at the University of Nebraska Lincoln
|2:45 - 3 p.m.||Closing Remarks|
Sameer Antani, Ph.D., is a versatile senior researcher with expertise in machine learning and artificial intelligence (ML/AI), image processing, informatics, and information retrieval. He is also senior researcher of the Communications Engineering Branch and Computer Science Branch at the Lister Hill National Center for Biomedical Communications, an intramural R&D division of National Library of Medicine, National Institutes of Health. His research studies machine intelligence behavior for automated decision support in clinical decision making and biomedical imaging applications. Antani is a senior member of SPIE and IEEE.
Steve Cross has over 25 years of analytical experience in innovation, consulting, process improvement, solution design and data development. Cross has utilized his analytical rigor in the identification, refinement, and application development of new or existing products and concerns to improve product offerings in the most ethical manner. At Great West, the Data and Analytics team has developed dashboards, views, pricing models for over $1 Billion in business, claims solutions, created solutions for internal and external stakeholders, and improved the training focus for analytics and big data. Cross' combination of technical and consultative expertise allows him to wear the hats of an executive, strategic lead, product manager, project leader, compliance expert and innovator. Cross has an undergraduate degree in Mathematics/Economics from Bradley University and graduate degrees in Statistics and Genetics from University of Nebraska Lincoln.
David Toback, Ph.D., is a professor of physics and astronomy and a member of the Mitchell Institute at Texas A&M University. He is a Fellow of the American Physical Society and the Thaman Professor for Undergraduate Teaching Excellence. Toback received his B.S. in physics from M.I.T. in 1991, his Ph.D. from the University of Chicago in 1997, and he joined the faculty at Texas A&M in 2000. His area of specialization is Experimental Particle Physics and has focused on the search for new fundamental particles. This includes searches at the world's highest energy particle accelerators, with the CDF Experiment at the Fermilab Tevatron (outside Chicago, IL) and the CMS Experiment at the Large Hadron Collider, or LHC (in Geneva, Switzerland), as well as deep underground with the CDMS experiment (currently in Minnesota and moving to Sudbury, Ontario Canada) to search for Dark Matter. The search for new particles is motivated in part by the tantalizing possibility of understanding the mysteries of particle physics, the earliest moments in the Universe after the Big Bang, and the existence of the Dark Matter that pervades the Universe today with a single discovery. He spends part of his time on the CDF experiment (where he is currently the co-spokesperson) and most of his time on the CDMS experiment. He is the author of the book “Big Bang, Black Holes, No Math.”
John Anderson, Ph.D., is the Baird Family Professor of Economics at the University of Nebraska-Lincoln. He conducts research and advises policy makers in the field of public finance. He is also the executive director of the Central Plains Research Data Center (CPRDC) located at the University of Nebraska-Lincoln, which is part of the Federal Statistical Research Data Centers (FSRDC) network providing researchers with access to restricted federal data sets. Anderson has served as a senior economist with the President’s Council of Economic Advisers in Washington, D.C. He has also advised state governors and legislatures, and numerous state agencies. Internationally, Anderson has lectured, conducted research and served as an adviser in Bulgaria, China, Macedonia, Moldova, Mongolia, Montenegro, Russia, Taiwan and Tajikistan. His research has been funded by the National Science Foundation and the U.S. Departments of State, Transportation and Agriculture.
If you are a person with a disability and need a special accommodation to fully participate, please contact Disability Services at 605-658-3745 at least 48 hours before the event.