Gahangir Hossain

Gahangir Hossain is an Associate Professor at the University of North Texas, specializing in interdisciplinary research at the intersection of cybersecurity, artificial intelligence, and cognitive science. His work focuses on advancing cybersecurity solutions, smart agriculture systems, and healthcare technologies through data-driven methodologies and machine learning innovations. He holds a Ph.D. from the University of Memphis, M.S. degrees from the University of Memphis and Bangladesh University of Engineering and Technology (BUET), and a B.S. from Shahjalal University of Science and Technology (SUST).

• Education:
• Ph.D., University of Memphis
• M.S., University of Memphis
• M.S., Bangladesh University of Engineering and Technology
• B.S., Shahjalal University of Science and Technology

His research interests span Artificial Intelligence, Cybersecurity Management, Data Science, and Health Informatics. Notable projects include the CyberCREWS program for high school cybersecurity education and the Perfect Project, which provides STEM training in cybersecurity for 9th-12th graders. He also develops AI-driven tools like JIBON++, an assistive voice assistant for people with visual impairments.

Recent work highlights include leveraging federated learning for cybersecurity education (Cognitive CyTutor), optimizing EV charging security, and applying steganography to enhance multi-factor authentication. His research bridges societal challenges such as digital literacy gaps and healthcare cybersecurity vulnerabilities.

Grants and collaborations involve advancing cybersecurity recruitment strategies, smart agriculture cybersecurity frameworks, and ethical hacking training for students. He leads initiatives to integrate cybersecurity into K-12 education through courses on machine learning for cyberthreat analytics and blockchain technology.

His lab focuses on interdisciplinary projects such as CyberTMS (transportation cybersecurity management) and iRestroom, a smart infrastructure for elderly care. Current efforts emphasize AI ethics, dementia care through ChatGPT integration, and reducing cyber value at risk (CVaR) through anomaly detection systems.