AR-BIC 2020: Artificial Intelligence (AI) in Arkansas (AR)
6th Annual Conference

Monday, February 10 – Tuesday, February 11, 2020
Conference Center, Wyndham Riverfront Little Rock
North Little Rock, Arkansas

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The Arkansas Bioinformatics Consortium (AR-BIC) is comprised of major research universities in Arkansas (including Arkansas State University, University of Arkansas, University of Arkansas at Little Rock, University of Arkansas for Medical Sciences, and University of Arkansas at Pine Bluff) plus the U.S. Food and Drug Administration’s National Center for Toxicological Research (NCTR). AR-BIC 2020 will be the 6th annual conference, and it will focus on artificial intelligence (AI) research and applications in Arkansas. The one-and-a-half-day event will be held at Wyndham Riverfront Little Rock, February 10-11, 2020.

AI is a broad concept of training machines to think and behave like humans. It consists of a wide range of statistical and machinal learning approaches with a specific emphasis on learning from existing data and information to predict future outcomes. The concept of AI was introduced in the 1950s, and its critical role in a broad range of applications has yet to be fully realized. As new AI methodologies — such as deep learning that extract complex patterns from new data streams and formats — are increasingly adopted, they generate information beyond conventional, tabular data, such as imaging.

AR-BIC 2020 will present the basic concepts and methodologies of AI, along with their advanced applications in biomedical research, food safety, drug discovery and development, and clinical settings. In addition, the consortium will provide a platform for networking and collaboration in the area of AI.

Agenda

Day 1, Monday, February 10th

1:00 pm – 1:10 pm

Welcome Remarks

  • Jerry Adams President & CEO, Arkansas Research Alliance
  • Stephanie Gardner
    Provost, Senior Vice Chancellor for Academic Affairs, and Chief Strategy Officer, UAMS

1:10 pm – 4:00 pm

Introduction to Artificial Intelligence (AI) Co-Chaired by Weida Tong (NCTR) and Brian Berry (UALR)

  • An Introduction to AI, May Dongmei Wang, Georgia Tech
  • AI for Text Mining, Xiaowei Xu, UA Little Rock
  • AI for Imaging Analysis, Mariofanna Milanova, UA Little Rock

4:00 pm – 5:00 pm

Artificial Intelligence: A Perspective from the National Science Foundation (NSF) Balakrishnan Prabhakaran, NSF, USA

5:00 pm – 7:30 pm

 Poster Presentations and Reception

Day 2, Tuesday, February 11th

8:30 am – 9:30 am

An Introduction to Transfer Learning for Predictive Medicine, with Cautionary Tales Cesare Furlanello, FBK, Trento, Italy

9:30 am – 12:00 pm

Session 1: ARA Academy on AI Chaired by Doug Hutchings and Bryan Barnhouse, ARA

  • AI for the Brain, Keith Bush, UAMS
  • FDA Efforts on ML for Genomic Biomarker, Weida Tong, NCTR
  • Biomedical Imaging Segmentation, Xiuzhen Huang, ASU
  • Data Bridge and Deep Learning for AI, Justin Zhan, UA

12:00 pm – 1:00 pm

 Lunch Break

1:00 pm – 2:00 pm

Session 2: Imaging and Radiomics Co-Chaired by Douglas Rhoads (UA) and Fred Prior (UAMS)

  • FIDE - An AI-based Recognition System to Advance ORA Regulatory Operations at Importing Mail Facilities, Leihong Wu, NCTR
  • Advanced Approaches in Deep Learning and Computer Vision to 3D Face Emotion Recognition in Food Eating, Khoa Luu, UA
  • Deep-learning for Automated Segmentation of Skin Wound Features Kyle Quinn, UA
  • Radiomics in Cancer Imaging, Fred Prior, UAMS

2:00 pm – 2:30 pm

 Coffee Break

2:30 pm – 4:10 pm

AI/Machine Learning in Biomedical Research

  • Advances in Neural AI and Applications to Drug Discovery, Andreu Vall, Institute for Machine Learning, Johannes Kepler University, Linz, Austria
  • AI for Drug Design and Drug Discovery, Jerry Darsey, UALR
  • Deep Learning Inferential Methods for Protein Structure Predictions, Mahmoud Moradi, UA
  • Drug Repositioning in the Era of AI, Zhichao Liu, NCTR
  • AI/ML for Predicting Drug-induced Liver Injury, Shraddha Thakkar, NCTR

4:10 pm – 4:30 pm

 Poster Awards Presentation and Concluding Remarks

AR-BIC 2020: AI in AR – Conference Program
DOWNLOAD HERE

Registration Closed