Marwan Omar

Marwan OmarMarwan Omar is an accomplished cybersecurity expert and academic, specializing in the intersection of artificial intelligence (AI) and cybersecurity. He currently serves as an Associate Professor of Cybersecurity and AI at the Illinois Institute of Tchnology, where he leads cutting-edge research on AI security, focusing on the detection and mitigation of advanced cyber threats. With over a decade of experience in the field, Dr. Omar has made significant contributions to the understanding and development of security frameworks for AI systems, particularly in the detection of adversarial inputs, data poisoning, and backdoor attacks. His research has been widely recognized for its innovative application of machine learning techniques to enhance the security and robustness of AI models. Dr. Omar holds multiple advanced degrees, including a PhD in Cybersecurity and a PhD in AI, and has earned numerous industry certifications such as Certified Ethical Hacker (CEH) and SANS Certified Smartphone Forensics Analyst (GASF). His extensive publication record includes books, peer-reviewed journal articles, and conference papers that explore the integration of AI in cybersecurity, with a particular focus on large language models (LLMs) and generalized AI (Gen AI). His recent work has pioneered the use of pruning techniques and anomaly detection to identify and neutralize hidden threats within AI models, establishing new benchmarks for security in AI research. Dr. Omar’s ongoing research efforts continue to push the boundaries of how AI can be both a tool and a target in the cybersecurity landscape. In addition to his academic pursuits, Dr. Omar is actively involved in industry collaborations and has contributed to numerous high-profile projects aimed at securing AI-driven technologies. His expertise has positioned him as a sought-after advisor and thought leader in the cybersecurity community. As a first-generation American from the Yazidi community in Iraq, Dr. Omar is committed to serving as a beacon of hope and inspiration for underrepresented minorities in STEM fields. His dedication to advancing both the scientific and social aspects of cybersecurity makes him a unique and influential figure in the ongoing dialogue about the future of AI security. Read More Read Less

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Defending Cyber Systems Through Reverse Engineering of Criminal Malware36 %
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Machine Learning for Cybersecurity36 %
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Application of Large Language Models (LLMs) for Software Vulnerability Detection38 % NR
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Application of Large Language Models (LLMs) for Software Vulnerability Detection38 % NR
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Redefining Security With Cyber AI38 % NR
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Redefining Security With Cyber AI38 % NR
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Machine Learning for Cybersecurity4 % NR
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Defending Cyber Systems through Reverse Engineering of Criminal Malware4 % NR
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