Academic Profile : Faculty
Asst Prof Zhao Jun
Assistant Professor, College of Computing & Data Science
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Jun Zhao is an Assistant Professor in the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU). He received a PhD degree in Electrical and Computer Engineering from Carnegie Mellon University (CMU), Pittsburgh, PA, USA, and a bachelor's degree in Information Engineering from Shanghai Jiao Tong University, China.
• Maritime digital twin, operational technology (OT), information technology (IT), cybersecurity, power networks, smart grid, Critical Information Infrastructures (CII)
• Cybersecurity and Privacy: Maritime cybersecurity, Decentralized Identifiers (DIDs), Privacy-preserving Techniques (PP-Tech), Homomorphic Encryption
• AI: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LLM Hallucination
• Blockchain/Metaverse: DePIN, DeFi, RWA, Token Economy, Play to Earn
• Networks/Systems: Federated Learning, Edge Computing, Wireless Communications
• Cybersecurity and Privacy: Maritime cybersecurity, Decentralized Identifiers (DIDs), Privacy-preserving Techniques (PP-Tech), Homomorphic Encryption
• AI: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LLM Hallucination
• Blockchain/Metaverse: DePIN, DeFi, RWA, Token Economy, Play to Earn
• Networks/Systems: Federated Learning, Edge Computing, Wireless Communications
- Blockchain Theory and Practice: Security, Scalability and Novel Applications
- Data-Driven Digital Twin and Energy Management System for Energy Optimization and Market Participation in Shipyard Operations
- Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems
- Enhancing Semantic Communication Systems: Model Selection, Post-Deployment, and Resource Allocation
- Quantum Multi-Agent Reinforcement Learning with Variational Quantum Circuits: Learning Efficiency and Credit Assignment
- System Design in Federated Learning: Reinforcement Learning, Clustering, and Optimization for Device Selection and Channel Access