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.
(7) Usable AI: Skeleton authentication, facial authentication, object segmentation for automated vehicles, multimodal fusion AI for autonomous driving, Vision transformers for defect detections.
(8) Quantum AI: Quantum machine learning, Quantum vision transformer, quantum adversarial attacks.

About CISLab: CIS Lab is a leading security research group at National Chung Cheng University, established by Prof. Van-Linh Nguyen. CISLab has been the home of many international students. Students are diverse and come from many countries, e.g., Taiwan, Vietnam, Thailand, Malaysia, Ethiopia, Iran, and India.

Details of the TEEP Program at CISLab can be found here https://sites.google.com/view/teepcislab

What could you get during the internship period?
1. The skill to obtain state-of-the-art research on selected topics, e.g., Explainable AI, ISAC, Quantum ML
2. Good programming skills through mini projects: e.g., AI models for preventing adversarial attacks
3. Create debate to gain novel or creative ideas to enhance assigned mini-projects
4. Report the results in a professional manner; for example, in LateX writing, IEEE Trans format
5. Attend several industry tours, Chinese courses, or research culture introductions.

Preferred Intern Education Level
- Third-year undergraduate students or above
- Graduate candidates (had Bachelor/ Master)
- Ph.D. students

Highly recommend the following candidates to join our lab:
1. Strong interest in computer science, computer networks, AI, and cybersecurity.
2. Background knowledge in networking/security, mathematics, optimization, quantum, and computer vision.
3. Publications in my research field
4. International English proficiency certificate (TOEIC >= 550, IELTS >=5.0, TOEFL iBT >= 80 )

Required materials
1. Online Application Form
2. Curriculum Vitae in PDF format
3. Official Transcripts
4. Letter of Recommendation in PDF format (optional)
5. International Certificate of language proficiency
6. Copy of Passport (Bio-page)
7. Head-shot Photo in JPG format (at least 300 KB filesize, 826X1062 pixels.)
8. Other Supplementary Documents(Optional) How to apply Please check details here https://sites.google.com/view/teepcislab/apply-now

Application procedure
1. The submitted documents will be reviewed by the project mentor.
2. The assessment of applications is based on the following criteria:
(1) GPA,
(2) prior technical experience (publication, projects, ...),
(3) language proficiency. An interview may be required.