TEEP Program at CISLab - Research topics

CIS Lab is a research-oriented lab at National Chung Cheng University established by Prof. Van-Linh Nguyen. Students are diverse and come from many countries, e.g., Taiwan, Vietnam, Thailand, Indonesia, Malaysia, Ethiopia, Iran, and India. Interns also include students from Indonesia, Czech, Germany, and Japan. Our research interests include Information Security/Advanced authentication, cybersecurity in wireless communications, space/drone security, quantum security, and vehicular networks.

Research group: https://sites.google.com/view/nvlinh/research-group

Lab photos can be accessed here

Research topics

Topic 1: Trustable Artificial Intelligence for Critical Applications and 6G Security in the Quantum Era

Artificial Intelligence (AI) technologies (Vision Transformer, ChatGPT, LLM), 6G networking, and quantum computing are the leading forces in bringing the world to the era of better intelligence and full automation. However, the rapid development of such technologies raises concerns that they could be used to damage human life, destroy critical infrastructure, and further violate user privacy. For example, AI power can be exploited to scan the vulnerabilities of critical control systems (SCADA, ITS) or track a target user in a restricted access building, even without physical intrusion. Similarly, the attackers can launch adversarial attacks against AI-based Advanced Driver-Assistance Systems (ADAS) and force connected vehicles to act as unexpected weapons to hit civilians. Early detection of security attacks and secure AI models are the top targets of many current research efforts. In short, this project encourages the talents who are interested in the following topics:

(1) AI for Cybersecurity: Misbehavior detection in autonomous vehicles, Deep Reinforcement Learning for aerial-assisted networks (UAV-satellite-space) or Intelligent Transportation Systems, Self-supervised Learning, autoDL /ML for Intrusion Detection Systems.

(2) Cybersecurity for AI: Trustable AI for automated vehicles and AI-based control systems from adversarial attacks.

(3) 6G security: Signal sensing, physical layer authentication, high-accuracy localization and sensing.

(4) Space and Quantum security: Blockchain for vehicular/aerial networks; Quantum compatible IDS platforms.

(5) Trustable AI for critical applications: Vision Transformer, ChatGPT, LLM for smart grid, smart health, intelligent transportation, smart manufacturing.

Topic 2: Computer vision and generative AI for smart manufacturing and autonomous driving

Artificial Intelligence is now reaching many applications in our society's life. Many AI-based applications, such as ChatGPT, can provide great answers to many difficult questions beyond average human capability. However, AI has not yet performed well in what humans can do easily, e.g., help robots move smoothly, and drive the car in complex environments. Further, AI requires very large training and extensive computing resources, which not every lab can do. This project aims to propose usable AI and tiny AI to solve our common problems that make AI more reachable and affordable. This topic can cover the following issues:

(1) Usable AI: Skeleton authentication, facial authentication, object segmentation for automated vehicles, multimodal fusion AI for autonomous driving, Vision transformers for defect detections.

(2) Tiny AI: Lightweight AI for IoT devices and microcontrollers in smart manufacturing.

(3) Quantum AI: Quantum machine learning, Quantum vision transformer, quantum adversarial attacks.