CWC advisory board members will provide connections with non-profit organizations, education institutions and companies. They should provide recommendations and assistance with programing to include identifying speakers, mentors and advisors. In addition, they should be able to use network and social media to promote CWC events and Capitol Tech program.
CWC potential advisory board members should have history of collaboration with one or board member and positive relationships with key cyber leaders.
Advisory board members will serve one year at a time and will need to be reappointed each subsequent year for continued membership on the advisory board.

Sumona Banerji
Advisory Board Member
Sumona Banerji is a futurist, cyber-psychology researcher and entrepreneur, aimed at developing products that build emotional intelligence, cyber-resilience, and cognitive security. The goal is to mitigate risks to human cognition and connection, in the face of exponential technology, through innovation in education, mental health and ethical technology. Mindshield website: http://www.mindshield.org
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Dr. Nisma Omar
Advisory Board Member
Dr. Nisma M. Omar joined Capitol Technology University in 2024 as an Adjunct Professor of Mathematics and Science and currently serves as the General Education Director. She holds a PhD in Analytical Chemistry from Benha University, where she specialized in electrochemical analysis and pharmaceutical applications. Her research over the past seven years has focused on developing innovative analytical techniques for drug detection, electrochemical sensing, and materials characterization.
Dr. Omar brings extensive academic experience and teaches courses in mathematics and science, with an emphasis on student engagement, practical learning, and interdisciplinary integration. She is passionate about fostering inclusive academic environments and supporting the growth of future scientists and engineers.

Dr. Tahani Baabdullah
Advisory Board Member
Dr. Tahani Baabdullah is a professor of Computer Science at Capitol Technology University. She is an artificial intelligence (AI) and machine learning (ML) research scientist with expertise in deep learning and cybersecurity, as well as federated learning, blockchain integration, and model tuning. In her role, she has delivered scalable AI solutions for fraud and anomaly detection using Python, TensorFlow, and PyTorch, achieving 99% accuracy and reducing false positives. She is known for translating research into impactful, real-world solutions. Her research interests include neural networks, CNNs, generative AI, large language models, and blockchain integration for secure, ethical, fintech, healthcare, and scalable AI applications. Dr. Baabdullah encourages her students, stating that "nothing is impossible, stay passionate, work hard, and be patient, and you can achieve anything!"