Publications include: 'Using AI Assistants in the Creation of an Academic Program of Study (PoS) in CyberAI' (CISSE'25), 'SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering' (IEEE CCWC'25), 'Securing Proof of Stake Blockchains: Leveraging Multi-Agent Reinforcement Learning for Detecting and Mitigating Malicious Nodes' (IEEE GLOBECOM'24), 'Moving from the Developer Machine to IoT Devices: An Empirical Study' (IEEE SecDev'24), 'Maximizing Blockchain Performance: Mitigating Conflicting Transactions through Parallelism and Dependency Management' (IEEE Blockchain'24).
Research Experience
Worked as a Software Engineer for over 3.5 years, developing digital payment solutions, web applications, and automated test suites. Current research focuses on system security, cyber deception, data analytics for security, with a primary emphasis on malware analysis and threat detection.
Education
Ph.D. in Software and Information Systems from the University of North Carolina at Charlotte, supervised by Dr. Jinpeng Wei, with co-advisement from Dr. Ehab Al-Shaer of Carnegie Mellon University.
Background
Research Interests: System Security, Malware Analysis, Cyber Deception, AI/ML/DL/LLMs for Cybersecurity and AI in Cybersecurity Curriculum. Brief: Md Sajidul Islam Sajid is an Assistant Professor in the Department of Computer and Information Sciences at Towson University.