Suzan Anwar Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor and CS Department Chair
faculty
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Biography and Research Information
OverviewAI-generated summary
Dr. Suzan Anwar investigates the application of computer vision, machine learning, and data science techniques to address challenges in healthcare and cybersecurity. Her recent work includes developing systems for breast cancer diagnosis using rough set-ensemble classifiers and generating synthetic breast cancer datasets through autoencoders and generative adversarial networks. She has also explored the use of graph convolutional networks for pain detection via telehealth.
Dr. Anwar's research background includes high-performance computing and GPU performance monitoring during her time at Argonne National Laboratory and Lawrence Berkeley National Laboratory. She has secured funding from the NSF and NSA for DART seed and GenCyber programs. Her career objective is to cultivate data scientists and cybersecurity professionals to support national business growth. Dr. Anwar holds a Ph.D. in computer and information science from the University of Arkansas at Little Rock and is an Associate Professor and Department Chair of Computer Science at Philander Smith College.
Metrics
- h-index: 4
- Publications: 16
- Citations: 43
Selected Publications
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Graph-Based Pattern Irregularity Detection Using GNNs and Spectral Deep Learning (2026)
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Breast Cancer Diagnosing System: Using a Rough Set-Ensemble Classifier Approach (2025)
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DeepFake Technology for Breast Cancer Dataset Generation Using Autoencoders and Deep Neural Networks (2025)
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Breast Cancer Radiogenomics Data Generation Using Combined Generative Adversarial Networks GANs (2023)
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Graph convolutional networks for pain detection via telehealth (2023)
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List of contributors (2023)
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