Md Nazmul Kabir Sikder
Research Assistant Professor in Cybersecurity. Old Dominion University.
AI Research Scientist & Cybersecurity Expert
I am an incoming Research Assistant Professor at Old Dominion University's School of Cybersecurity, where I will be exploring emerging research directions in cybersecurity. My expertise spans AI assurance, machine learning for cyberattack detection, and securing cyber-physical systems, with proven real-world applications in critical infrastructure including water distribution and agricultural networks.
Research Focus Areas
AI-Driven Cybersecurity
Advanced ML techniques for real-time threat detection in critical infrastructure
Key Publications:
- Deep H2O: Cyber attacks detection in water distribution systems using deep learning Journal of Water Process Engineering (2023)
- P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants Journal of Environmental Engineering (2023)
- Model-agnostic scoring methods for artificial intelligence assurance IEEE STC (2022)
Smart Water Systems
AI solutions for water distribution optimization and anomaly detection
Key Publications:
- Context-driven Deep Learning Forecasting for Wastewater Treatment Plants ACM TCPS (2025)
- Assessing the Impact of Cyber Attacks on Water Distribution Systems IEEE Access (2023)
- Realtime management of wastewater treatment plants using AI International Water Symposium (2022)
Precision Agriculture
Machine learning applications for sustainable farming and crop monitoring
Key Publications:
- DeepAg: Deep learning approach for measuring the effects of outlier events IEEE SSCI (2021)
- The application of artificial intelligence assurance in precision farming AI Assurance Book Chapter (2022)
- Applications of machine learning for precision agriculture and smart farming FLAIRS (2021)
AI Assurance & Reliability
Ensuring trustworthy and explainable AI systems in critical applications
Key Publications:
- AI Methods for Anomaly Detection in Cyber-Physical Systems PhD Dissertation, Virginia Tech (2025)
- Outlier detection using AI: a survey AI Assurance Book Chapter (2023)
- AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI Academic Press (2022)
Academic & Professional Journey
Ph.D. in Computer Engineering
Virginia Tech (2024)
Dissertation: "AI Methods for Anomaly Detection in Cyber-Physical Systems: With Application to Water and Agriculture"
Telecommunications Engineer
Grameenphone Ltd., Bangladesh (4 years)
Led digital transformation initiatives serving 170+ million users. Specialized in network optimization, data analytics, and infrastructure management.
Research Assistant Professor
Old Dominion University - Cybersecurity (2025 - Present)
Leading advanced research in AI-driven cybersecurity, developing ML solutions currently deployed in major U.S. facilities, bridging the gap between theoretical AI research and real-world applications.
Research Highlights
Current Focus
Developing trustworthy AI systems that operate reliably in high-stakes environments. My research bridges AI theory and practice, focusing on scalable ML models for real-time threat detection.
Let's Collaborate
Interested in discussing research collaborations, speaking opportunities, or consulting on AI/cybersecurity projects?
