TEO Sin-Gee personal page

• Position

Lead for AI for Cybersecurity Initiative

• Research topics with IPAL

– Deep Learning Based Malware Detection System without Feature Engineering (AI for Cybersecurity).

– Reliable and Robust Linux Malware Detection Research based on Artificial Intelligence Technologies (AI for Cybersecurity).

– Quality Assurance for Machine Learning-Enabled Systems (AI for Cybersecurity).• FedEnergy: *SDN based Personalized Federated Learning for Energy Consumption and Recommendation ((AI for Cybersecurity).

– Adaptive Adversarial Learning and Defense Framework (ARIER): Improving Robustness of Artificial-Intelligence-Based Malware Classification Model against Adversarial Attacks with Respect to Camouflage Malicious Code (AI for Cybersecurity).

– Privacy-Preserving Distributed Learning Framework (AI for Cybersecurity).

• Collaborators at IPAL

• Supervisions at IPAL

The following topics are for both intended internship and PhD. proposal.

• Data mining and AI applications for cybersecurity.
• Data-driven cybersecurity innovation.
• Modelling and simulation of cyber systems and system components.
• Data mining approaches to make cyber systems secure and resilient.
• Human behavior models with application to cybersecurity.
• AI tools and techniques, mental resilience, and cybersecurity.
• Data mining for cybersecurity software verification and validation.
• Automation of heterogeneous security tools.
• Decision making with uncertainty in cyber systems.
• Security and privacy.

• Link to webpage

You can know more about me here: https://