Grants and Awards

  • NSF 21-591. Computer and Information Science and Engineering Research Initiation Initiative (CRII), CRII: SCH: Developing a new hybrid interactive machine learning software tool for cancer researchers, 2022 - 2026 ($174,716), Principal Investigator (PI)
  • NSF 21-574. Engineering Research Initiation (ERI), ERI: A New Spatial Image Analysis of the Tumor Microenvironment for Cancer Immunotherapy, 2022 - 2024 ($199,198), Principal Investigator (PI)
  • W81EWF-22-SOI-0021. U.S. Army Corps of Engineers(USACE) Engineer Research and Development Center (ERDC). Delivering Scalable Harmful Algal Bloom (HAB) Prevention and Management Technologies for Freshwater Ecosystems for the Ohio River. Determining Environmental Triggers of Harmful Algal Blooms and Toxin Production for the Purposes of HAB Prediction, Detection, and Management (HAB-PDM) in flowing waters, Senior personnel, 2022 - 2025 ($1.5M)
  • Weisberg Faculty Research Award (Junior), Marshall University 2022
  • Summer Research Award, Predicting heterogeneous cellular regions of tumor microenvironment in whole slide images using deep learning, Marshall University 2022
  • Creative Discovery and Research Scholar Award, A comprehensive survey of deep learning algorithms in digital pathology, Mentor, Marshall University Spring 2023
  • Creative Discovery and Research Scholar Award, Interactive multimodal cancer data integration on histopathology and radiology, Mentor, Marshall University Spring 2023
  • Creative Discovery and Research Scholar Award, A study of deep learning models on semantic image segmentation to enhance the accuracy of a breast cancer diagnosis, Mentor, Marshall University Summer 2022
  • Creative Discovery and Research Scholar Award, A study of predicting the behavior of walking insects using deep learning techniques, Mentor, Marshall University Spring 2022
  • Cross-disciplinary Research Facilitation Grant, Exploring and forecasting of Harmful Algae Blooms (HABs) in the Ohio River using artificial intelligence, multiple-PI, Marshall University 2021 - 2022
  • John Marshall University Scholar Award, Quantitative spatial analysis of tumor cells via collaborative deep transfer learning, Marshall University 2021
  • Summer Research Award, Developing an unsupervised learning tool for whole slide image analysis, Marshall University 2020
  • Cross-disciplinary Research Facilitation Grant, Developing a Novel Machine Algorithm for Murine Brain Section, multiple-PI, Marshall University 2019 - 2020
  • Google Cloud Platform Research Grant, Investigating the interactive machine learning tool with the deep-learned features, PI, Google 2019 ($5,000)
  • Dissertation Award, Georgia State University 2016
  • Second Century Initiative (2CI) Presidential Fellowship, Georgia State University 2015
  • Brain and Behavior Fellowship, Georgia State University 2013, 2014
  • Best Paper Award, RACS 2010
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