Thursday, November 7, 2019 

This event is co-sponsored by the Department of Computer Science and the Department of Mathematical Sciences in the College of Arts & Sciences and the POET Center for Business Analytics in the Beacom School of Business.

Event Description

Data is collected everywhere, but how is it being structured, organized and analyzed for real-world applications?

The 2019 Symposium on Data Harnessing explores opportunities for better analysis, modeling and prediction using Artificial Intelligence (AI), Machine Learning (ML) and supercomputing. 

Join us as subject matter experts in the fields of computer science, mathematics and business analytics discuss how to intelligently harness and analyze data across many fields including chemistry, physics, biology, bioinformatics, health sciences, energy and business.

Check back at a later date to find more information about the symposium.

Past Speakers (2018)

Steve Lewis, Vice President of Technology and Innovation, has been with POET since August 1998. Lewis's primary focus while at POET has been on continued production advances in dry grind ethanol plants. Lewis has 33 years of experience in industrial biotechnology.
Prior to joining POET, Lewis served as an Applications Specialist at Genencor International in Cedar Rapids, Iowa. Lewis received a B.S. in Microbiology from Ohio State University in Columbus, Ohio, and a Master of Business Administration from Ashland University in Ashland, Ohio. He also studied Food Science and Engineering at the University of Illinois.

Olaf Storaasli, Ph.D., NASA's finite-element machine developer, is a supercomputer pioneer and author of several novel computation algorithms including GPS which won NASA Software of the year Award. His work on current & future high performance computing (HPC) systems harnesses accelerators (FPGAs & GPUs) to enable science discovery (i.e. rapid solution of large matrix systems). Olaf earned his Engineering Ph.D. from North Carolina State University and held postdoc Fellowships at NTNU & Edinburgh University.

Murat Sincan, Ph.D., is an Assistant Professor of Medicine at the University of South Dakota, Sanford School of Medicine, and Director of Computational Medical Informatics for Sanford Imagenetics. He received his medical degree from Hacettepe University, Ankara Turkey, and postdoctoral training at National Institutes of Health at Bethesda, Maryland. His career has focused on developing informatics approaches to improve the management and analysis of biomedical data and processes, decision support and translational research. He has a deep interest in genomics, bioinformatics, rare diseases and semantic representation of clinical data.

Justin Smith, Ph.D., leads and functions in many capacities as Enterprise Director of Data and Analytics for Sanford Health, an organization with over 29,000 employees, 43 hospitals, and 350 clinics across nine states and eight countries. 

Smith leads teams, in collaboration with executive leaders, to build machine learning models that enable Sanford to better understand business drivers. Smith employs a unique skill set of strong analytical skills and thought-leadership as Sanford Health transitions from the world of advanced analytics to artificial intelligence. 

Smith has published numerous articles in peer-reviewed international journals. He holds a Ph.D. in the field of Neuroscience and a M.S. and B.S. in Research Psychology.

Past Organizers (2018)

  • Santosh KC, Ph.D. – Symposium Co-Chair, Assistant Professor/Graduate Coordinator, Department of Computer Science, College of Arts & Sciences
  • José Flores, Ph.D. – Professor/Chair, Department of Computer Science, College of Arts & Sciences
  • Daniel Van Peursem, Ph.D. – Professor/Chair, Department of Mathematical Sciences, College of Arts & Sciences
  • Thomas Tiahrt, Ph.D. – Symposium Co-Chair, Assistant Professor/Program Coordinator, POET Professor of Business Analytics, Beacom School of Business

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.