Dr. Hamed HaddadPajouh

About

Dr. Hamed Haddadpajouh is a Professor at Seneca Polytechnic, specializing in cybersecurity and software engineering. He holds a Ph.D. in Computational Sciences from the University of Guelph, with a thesis on "An Adversarially Robust Multi-Ve Multi-Kernel Framework for IoT Malware Threat-Hunting." His expertise includes advanced software architectures, machine learning frameworks, and secure software development, with a focus on fostering innovation in cybersecurity education and research.

Research Interests

Dr. Haddadpajouh's research focuses on the privacy and robustness of Generative Artificial Intelligence (GenAI), encompassing:

• Privacy-preserving techniques for GenAI model training and deployment
• Adversarial robustness of GenAI against attacks and data poisoning
• Secure software architecture design for GenAI systems
• AI-powered tools for privacy-aware software development
• Software quality assurance and testing for GenAI applications
• Agile and DevOps practices for secure GenAI delivery
• ML-driven code analysis for GenAI vulnerability detection
• Automated testing and quality assessment for GenAI systems
• AI-assisted debugging and maintenance of GenAI software
• Software forensics and malware analysis for GenAI frameworks

Interested in collaboration? Submit proposals to hamed[dot]haddadpajouh[at]sencapolytechnic[dot]ca.

Teaching Courses

• CYT 300 - Cybersecurity Capstone Project (Graduate Program, Seneca Polytechnic)
• RIS 430 - Vulnerability and Threat Analysis (IFS Undergraduate Program, Seneca Polytechnic)
• SEC 320 - Cybersecurity Incident Response and Digital Forensics (Undergraduate Program, Seneca Polytechnic)
• SRT 521 - Advanced Data Analysis (IFS Program, Seneca Polytechnic)

Focus on software development best practices, code quality, and data-driven decision-making.