معرفی
Pooria Madani is an Assistant Professor in the Department of Networking and IT Security at Ontario Tech University's Faculty of Business and Information Technology. He holds a PhD in Computer Science from York University (2021). His research focuses on leveraging machine learning for cybersecurity applications, including adversarial machine learning, intrusion detection, and malware classification. Dr. Madani's work addresses theoretical and practical challenges in securing networks and systems against evolving threats.
Education:
- PhD in Computer Science, York University, 2021
- Masters in Computer Science, University of New Brunswick, 2015
- Bachelor of Science in Computer Science, University of Prince Edward Island, 2012
Research Interests:
- Cybersecurity and Adversarial Machine Learning
- Intrusion Detection Systems
- Malware Analysis and Evolution
- AI-driven Threat Mitigation
- IoT and Network Security
- Privacy in Distributed Systems
Recent publications highlight advancements in securing quantum communication networks, combating adversarial attacks on neural networks, and leveraging deep learning for IoT threat detection. His work bridges theoretical frameworks with practical cybersecurity solutions, addressing modern challenges in data-driven defense mechanisms.
Scientific Awards: No awards explicitly mentioned in the provided texts.
Advising and Grants: Details about current advisees or funded grants are not provided in the scraped content. Collaborations with industry and academic partners may exist but are unspecified.
Labs/Teams: Affiliated with Ontario Tech's Faculty of Business and IT research groups, though specific lab affiliations are not detailed in the text.
