Suzan Anwar
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Associate Professor and CS Department Chair
Also affiliated: Sulaimani Polytechnic University (2025–2026); Arkansas Department of Agriculture (2017); Salahaddin University-Erbil (2017–2023); Tishk International University (2025)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Suzan Anwar's research centers on the application of computer vision, machine learning, and data science techniques to address challenges in cybersecurity and healthcare. She has investigated the use of graph convolutional networks and deep learning for pain detection via telehealth and for detecting graph-based pattern irregularities. Her work also extends to medical imaging and data generation, with publications on breast cancer diagnosing systems using rough set-ensemble classifiers and on generating breast cancer datasets using deep learning techniques like autoencoders and generative adversarial networks.
Dr. Anwar holds a Ph.D. in computer and information science from the University of Arkansas at Little Rock. She has experience working on high-performance computing and GPU performance monitoring at national laboratories, including Argonne National and Lawrence Berkeley National labs. She has secured funding from the NSF and NSA for DART seed and GenCyber programs. Dr. Anwar is an Associate Professor and Department Chair of Computer Science at Philander Smith College, where she mentors students and aims to develop future data scientists and cybersecurity professionals.
Metrics
- h-index: 4
- Publications: 16
- Citations: 45
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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Perceptual Judgments to Detect Computer Generated Forged Faces in Social Media (2019)
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Emotion Recognition and Eye Gaze Estimation System: EREGE (2018)
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Real Time Eye Gaze Estimation (2017)
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Real Time Eye Blink Detection Method for Android Device Controlling (2017)
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Face Recognition in Home Security System Using Tensor Decomposition Based on Radix-(2 × 2) Hierarchical SVD (2017)
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Active Shape Model vs. Deep Learning for Facial Emotion Recognition in Security (2017)
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Real time intention recognition (2016)
Collaboration Network
Top Collaborators
- Graph convolutional networks for pain detection via telehealth
- List of contributors
- Breast Cancer Radiogenomics Data Generation Using Combined Generative Adversarial Networks GANs
- Graph convolutional networks for pain detection via telehealth
- List of contributors
- Breast Cancer Diagnosing System: Using a Rough Set-Ensemble Classifier Approach
- Breast Cancer Radiogenomics Data Generation Using Combined Generative Adversarial Networks GANs
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
- List of contributors
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