Partnership and Collaborative Hub
Research Projects
Our research lab is focused on developing cutting-edge technologies in the fields of Computer Vision (CV) and Natural Language Processing (NLP) for Computer Aided Detection (CAD) on local and Cloud computing clusters. Specifically, we are working on applied Deep Learning (DL) for localization and segmentation, sentiment analysis and response generation with the focus on explainability (XAI).
- All
- CV
- NLP
- XAI
- Cloud
Cloud Performance Modeling
Many critical applications are running on the cloud, ewhere scaleable infinite processing power is provided. However, due to collocation of Virtual Machine (VM) and performance interfierences, perfomamnce aware scheduling of critical and time sentsitive jobs to the cloud is needed.
Hamidreza Moradi, PhD
Director North Carolina A&T State UniversityOur Research Team
Our research team is highly diverse and consists of individuals with a range of educational backgrounds and experience, including graduate and PhD students, doctors, and faculties, all of whom bring unique perspectives and expertise to the research projects. This diversity in the team ensures that there is a broad range of skills, knowledge, and experience that can be drawn upon to effectively tackle the research questions at hand. The team's diversity also promotes creativity, innovation, and inclusivity, and helps to ensure that the research outcomes are rigorous and well-rounded.
Shashank Shekhar, MD
Clinical Advisory Board Duke UniversityMatthew Morris, PhD
Clinical Advisory Board Vanderbilt University Medical CenterHamidreza Arabnia, PhD
Academic Advisory Board University of GeorgiaSally Hodder, MD
Clinical Advisory Board University of West VirginiaWilliam B. Hillegass, MD, PhD
Clinical and Biostatistical Advisory Board University of Mississippi Medical CenterEhsan Alam
Graduate Research Assistant North Carolina A&T State UniversityStefan Green
Graduate Research Assistant North Carolina A&T State UniversityEverett-Alan Hood
Undergraduate Research Assistant North Carolina A&T State UniversityDavid M. Lee
Graduate Research Assistant University of Mississippi Medical CenterTran T. Le
Graduate Research Assistant University of Mississippi Medical CenterAhmad P. Tafti, PhD
Extramural Collaborator University of PittsburghSoheyla Amirian, PhD
Extramural Collaborator University of GeorgiaNickolas Littlefield
Extramural Collaborator University of PittsburghCandace Howard-Claudio, MD
Extramural Collaborator University of Mississippi Medical CenterNews
- Aug. 2024: We presented our work on the effect of socioeconomic positions on pain model accuracy in IASP Word Congress on Pain.
- Jul. 2024: Our manuscript accepted at Journal of Nature on Fair AI-powered orthopedic image segmentation.
- Jun. 2024: We presented our work on Attention Mechanism for Botnet attack detection in IEEE AI, Big Data, and Data Commnication.
- Dec. 2023: Our collaborative work with Vanderbilt University Medical Center got recognition from the VUMC Reporter.
- Dec. 2023: Our AI/ML book Chapter is published by Springer and avaiable to read.
- Oct. 2023: Our manuscript accepted at PLOS ONE on the effect of socioeconomic factors on patients survival.
- Sep. 2023: We presented our work on the use of LLM for EHR question and answering in IEEE BHI.
- Sep. 2023: We presented our work on unbiased image segmentation in IEEE BHI.
- Mar. 2023: We submited a paper to IEEE EBAIC on heap bony antomy segmentation.a>
- Mar. 2023: A manuscript and a poster got accepted at IEEE ICHI.
- Mar. 2023: We are presenting a Deep Learning workshop in collaboration with the Marquette University on March 24.
- Feb. 2023: Our manuscript accepted at PLOS ONE on predicting Covid-19 thraputics effectiveness using Machine Learning models.
- Feb. 2023: We recived Amazon Web Services (AWS) research support.
- Jan. 2023: We recived the Google Cloud research award.
- Dec. 2022: We presetened our knowledge infused embedding approach at IEEE CSCI .
- Dec. 2022: We recived the Oracle research award.
- Oct. 2022: Our manuscript accepted at Journal of the American Medical Informatics Association (JAMIA open).
- Feb. 2022: Probabilistic modeling of COVID-19 outcome presented at Conference on Retroviruses and Opportunistic Infections (CROI) .
- Dec. 2021: Our modfied measure of COVID-19 severity levels presented at Open Forum Infectious Diseases (OFID).
- Jul. 2021: We presented our set of cloud micro-benchmarks at Springer GCC.
- Jan. 2021: Our manuscript on online performance modeling accepted at IEEE Transactions on Cloud Computing (TCC).
Contact Us
Connect with Us and Reach Out to Our Team
Our Address
North Carolina A&T State University
Department of Computer Science
MERIC 331, 1101 E Market St, Greensboro, NC 27401
Email Us
hmoradi {\a/} ncat {dot} edu
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