The Future of EPSCoR in Arkansas

Title: The Future of EPSCoR in ArkansasPresenter(s): JD Swanson, NSF EPSCoRDate: February 8, 2024 Related Links and Files NSF EPSCoR Opportunities: https://new.nsf.gov/funding/opportunities?query=epscor&sort=search_api_relevance_DESC Description Dr. JD Swanson attended the DART Annual Retreat that was held February 7-8, 2024 in Rogers, Arkansas. Dr. Swanson is a Program Director at the NSF EPSCoR office. In this presentation, Dr….Continue Reading The Future of EPSCoR in Arkansas

Research Computing in Arkansas

Title: Shortened RCD-CM Data Collection Kickoff and Intro Presenter(s): Ian Czarnezki, Jackson Cothren, and Shuai Lui Date: January 12, 2024 Related Links and Files Shortened RCD-CM Survey Link: https://uark.qualtrics.com/jfe/form/SV_09aGmseG54YpUbk Capabilities Model Introduction and Guide to Use Description The Research Computing and Data (RCD) Capabilities Model allows institutions to assess their support for computationally- and data-intensive…Continue Reading Research Computing in Arkansas

DART Seed Grant Recipient Presentations, Session 2

Title: DART Seed Grant Recipient Presentations, Session 2Presenter(s): Yasir Rahmatallah, Jason Causey, Sudeep Bhattacharyya, and Melody GreerDate: October 26, 2022 Description This month’s webinar will feature three presentations from the recently awarded DART YR 3 Seed Grant Recipients. Yasir Rahmatallah (UAMS) will present on Machine Learning Approaches for Remote Pathological Speech Assessment for Parkinson’s Disease….Continue Reading DART Seed Grant Recipient Presentations, Session 2

DART Seed Grant Recipient Presentations, Session 1

Title: DART Seed Grant Recipient Presentations, Session 1Presenter(s): Xiao Huang and Ahmed Abu HalimehDate: September 28, 2022 Description This month’s webinar will feature two presentations from the recently awarded DART YR 3 Seed Grant Recipients. Dr. Xiao Huang (UAF)will present on AI-Supported Cyberinfrastructure for Scalable Flood Resilience Assessment. This project is part of the CI…Continue Reading DART Seed Grant Recipient Presentations, Session 1

Data Life Cycle and Curation Graduate Student Lightening Talks

Title: Data Life Cycle and Curation Graduate Student Lightening TalksPresenter(s): Jewel Banik, Journey Eubank, Ashley Herdman, Sangam Kandel, Kanishka Manna, Sudip Panday, and Dave UsseryDate: August 31, 2022 Description This month’s webinar will feature lightening talks from 6 graduate students working in the Data Life Cycle and Curation Research Theme at the University of Arkansas…Continue Reading Data Life Cycle and Curation Graduate Student Lightening Talks

2+2 Program Work-in-Progress

Title: 2+2 Program Work-in-progress, presented by the Education RTPresenter(s): Education RTDate: April 27, 2022 Description A major element of our Education Research Theme is to create pathways for Data Science students from 2-year colleges through A.S. degrees and certificates and then to 4-year colleges and universities for completion of a B.S. in Data Science in…Continue Reading 2+2 Program Work-in-Progress

Racial and Gender Homophily in Classroom Discussion Networks

Title: Racial and Gender Homophily in Classroom Discussion NetworksPresenter(s): Regan Harper (UAF DART GRA)Date: March 30, 2022 Description Previous studies on homophily tend to focus on positive social relationships, like friendships, which overlooks the negative networks formed through the access to internet. Our study employs an online discussion platform and examines the hidden and invisible…Continue Reading Racial and Gender Homophily in Classroom Discussion Networks

Prediction and learning for designing materials for solar energy conversion

Title: Prediction and learning for designing materials for solar energy conversionPresenter(s): Rob CoridanDate: February 23, 2022 Description Materials for converting solar energy into chemical fuels requires balancing the many physical and chemical steps involved (light absorption, catalysis, product separation, diffusion of reactants and products) along multiple length scales (from single atoms to m2). This balance…Continue Reading Prediction and learning for designing materials for solar energy conversion

Precognition: Seeing through the Future

Title: Precognition: Seeing through the Future Presenter(s): Khoa Luu Date: January 26, 2022 Description Vision-based detection and recognition studies have been recently achieving highly accurate performance and were able to bridge the gap between research and real-world applications. Beyond these well-explored detection and recognition capabilities of modern algorithms, vision-based forecasting will likely be one of the next…Continue Reading Precognition: Seeing through the Future

Deep Learning in Biomedical Imaging

Title: Deep Learning in Biomedical Imaging Presenter(s): Ngan Le Date: December 1, 2021 Description Medical image analysis using deep learning has recently been prevalent, showing great performance for various downstream tasks including medical image segmentation and its sibling, volumetric image segmentation. Particularly, a typical volumetric segmentation network strongly relies on a voxel grid representation which…Continue Reading Deep Learning in Biomedical Imaging