Welcom to Cyber Information Security Laboratory (CIS Lab)

Group of talents from diversity of nationality
Love coding and security stuff
Never give up to pursue our dream
Playing hard
Doing something to make the world better

News

  • 2024/1: Our paper has been accepted to appear in IEEE Transactions on Vehicular Technology. Congrats to Lan-Huong and the team. 

  • 2024/1: Two papers have been accepted to appear in IEEE ICC 2024, Denver, CO, USA. Congrats to Yared, Lan-Huong, and the team. 

  • 2023/12: Our "The Internet of Military Defense Things (IoMDT)" special issue in IoTM is open for submission. Deadline: September 2024.

  • 2023/9: Our paper has been accepted to appear in IEEE MILCOM 2023, Boston, MA, USA. Congrats to Shu-Ying, Hung-Wen, and the team. 

  • 2023/8:  Our two papers have been accepted to appear in IEEE GLOBECOM 2023, Malaysia!! Congrats to Harry, Yan-Hao and the teams. 

  • 2023/7: Our paper has been accepted to appear in IEEE Communications Magazine!! Congrats to the team!!

  • 2023/6: Congrats to Harry for winning the College Undergraduate Student Project from the National Science and Technology Council, Taiwan!! 

Recruiting talents!

  • Our lab still has vacancies for self-motivated Ph.D. students in Spring 2025/Fall 2025!

  • If you are interested in Cybersecurity/Wireless communications/Vehicular/Quantum networks and AI for those, please contact us!

#Physical-Layer-Security #Adversarial-attacks #DDoS-Defense #Quantum-Security

CIS Lab is a young security research group in National Chung Cheng University established by Prof. Van-Linh Nguyen. Students are diverse and come from many countries, e.g., Taiwan, Vietnam, Thailand, Malaysia, Ethiopia, Iran, and India. Our research interests consists of Information Security/Advanced authentication, Cybersecurity in wireless communications, space/drone security, quantum security, and vehicular networks.

Some Typical Research Topics

Cybersecurity and Network Vulnerabilities

Our lab is at the forefront of identifying and mitigating new risks across several domains, given the complex of current Internet systems. Our study focuses on Common Vulnerabilities and Exposures (CVEs) and explore remote port penetration to investigate IoT devices and software/os vulnerabilities, and then recommend protections against probable attacks. This area aims to teach many core skills, including shell code, buffer overflow, reverse engineering, and virus/malware analysis. We're dedicated about finding software weaknesses, ranging from coding faults to poor memory management problems. Our ultimate objective is to learn via experiments and support the community prevent the effect of these disruptive attacks on network services.

Cyber Defense Mechanisms

Cyber attacks and security exploitation against zero-day vulnerabilities (e.g., energy depletion attacks, crypto mining, Distributed Denial-of-Service attacks) have been the top concerns of the security community and the enterprise for decades. These attacks are causing losses of billions of dollars each year to governments, companies, and mobile users. Preventing these types of attacks is always the top goal of the research community. In this research branch, we have gained many notable achievements, particularly apply Cyber Threat Intelligence (CTI) models to develop comprehensive intrusion detection systems and firewalls for critical infrastructure (e.g., smart grids, core networks, smart manufacturing).

Physical layer security

Wireless communications like WiFi and mobile networks have become one of the vital factors in our life. However, the appearance of Wireless Everywhere potentially poses surveillance risks to mobile users, particularly being tracked illegally by using signal-based surveillance. In battle fields, jamming attacks are also used to prevent enemy communications and shut down the wireless-based control, e.g., UAV/drones, GPS-guided weapons. Physical layer security is then another core research of the lab. In this research direction, we exploit the power of AI to design robust anti-tracking/anti-jamming systems that can survive better against sophisticated attack strategies than the current approaches can do.

Joint communication and sensing

Our lab is dedicated to exploring the synergy between communication and sensing technologies, unlocking a world of possibilities for transformative applications. At the core of our research lies healthcare sensing, a frontier where advanced sensing technologies converge with communication protocols to revolutionize patient care, e.g., wearable sensors tracking vital signs, Device-to-Device (D2D) sensing for emergency searching, leveraging the power of peer-to-peer communication to facilitate rapid and efficient search and operations. Besides, the aspect of joint radar and communication systems is an intesting topic where situational awareness and data transmission can simultaneously exist to enhance navigation and surveillance capabilities.

Misbehavior Detection and Protection Schemes in Vehicular Networks

Our society is approaching the era of intelligent transportation systems and smart cities. Vehicle-to-Everything (V2X) communications are expected to be increasingly used for improving coverage, particularly in locations where a vehicle's camera or radar is ineffective. However, trusting the sharing data, the control systems in such connected receivers can be trapped to change to a wrong lane or accelerate unexpectedly, and then potentially lead to a crash. In this research branch, we have developed several signal-based misbehavior detection models or verifications for vehicular communications. We are exploring the multimodal and zero/few-short learning models as well as edge-assisted incremental learning schemes to enhance the misbehavior detection performance.

Intelligent Traffic Coordination for Autonomous Vehicles

Besides security matters, the host has also published several research papers about traffic scheduling and transmission control for connected and autonomous vehicles. For example, we have developed efficient path planning and traffic clear-out scheduling schemes to lessen the emergency vehicles' travel time by estimating a list of candidate paths to the rescue spot with the estimated time of arrival at their maximum speed, regardless of the traffic conditions. Several other topics such as exploiting incremental learning and search schemes for enhancing evacuation in urban areas, particularly in natural disasters (earthquakes, tsunami) is an important part of this research domain. Our goal is to enhance the safety of community and contribute to the goal of smart cities and reliable autonomous driving.

Deep fake and Disinformation Prevention

This research domain targets to uncover deep fakes, disinformation, and adversarial attacks techniques, given the increasing threats of deep fake techniques to trust and authenticity. For example, leveraging superintelligent AI models and GAN networks, malicious actors craft hyper-realistic videos and images, blurring the line between reality and fabrication. In politic campaigns, these techniques can be used to create disinformation on opponents and affect public opinions. Here, we commit to develop solutions to detect and mitigate the impact of adversarial attacks, preserving the integrity of digital content and restoring trust in the sharing data, particularly on social networks or media platforms. Tagging AI-generated images/videos or AI-generated multimedia content can help the community to distinguish the genuine of the information.

Quantum machine learning and quantum networks

Although many skepticisms, quantum computing and quantum machine learnings are expected to unlock tremendous computation powers and security protection to revolutionize computation and secure communication. In this field, we focus on proposing quantum machine learning algorithms to enhance paralleled computational speed and efficiency in novel problems such as resource allocations in digital twins, optimizing supply chains to accelerating secure industry. By harnessing the unique properties of quantum entanglement and superposition, we are developing the fundamental algorithms and simulation tools for efficient quantum networks, quantum key distribution, quantum teleportation to maintain ultra-secure communication protocols that defy eavesdropping and interception.

Something may be good

Never give up, for that is just WHEN it is your turn and HOW good you pursue your goals

Someone in my lab

CyberS

If now is not the time to do, when? why? Never give an excuse for your fail without asking why?

Someone in my lab

CyberS

Working style

Happiness and Fairness

1

Responsibility

2

Self-motivation

3

Lab members

Head of the lab: Van-Linh Nguyen (阮文齡)

阮文齡

Ph.D students (博士班)

Year enter Name Email Research field Graduation Notable achievement
Fall 2022 VN-黃文心 (Tam) tamdhkhtn (at) gmail.com Adversarial attacks CSSE
Spring 2023 ET-亞里德 (Yared) yared3778 (at) gmail.com Safe DRL ICC 2024

Master Students (碩士班)

Year enter Name Email Research field Graduation Achievement
Spring 2024
VN-Quan tranquan687(at)gmail.com Computer Vision
Fall 2023
L-鄭洛旻(Lo-Ming) otsy2048(at)gmail.com Signal tracking S
Fall 2023
L-黃泰源 (Terry) th04e22 (at) gmail.com Few-Shot Learning/Generative DL
Fall 2023
L-張森崴 (Peter) kantt123petter (at) gmail.com Online DDoS Defense Transfered
Fall 2023
TH-蕭智泓 (Nattapol) satang040920.tw(at)gmail.com Attacks/DoS ICC 2024
Fall 2022 L-邱昱智 (Yu-Zhi) tont12345646(at)gmail.com Adversarial attacks
Fall 2022 L-吳奕平 (Yi-Ping) k94077087(at)gmail.com Adversarial attacks
Fall 2022 L-劉祐豪 (Derrick) derrickliou1(at)gmail.com UAV/LEO ICACT 2023, ICC 2024
Fall 2022 L-梁鴻文 (Mike) mich803040(at)gmail.com Active sensing MILCOM 2023, CITA 2024
Fall 2022 L-吳法川 (Fa-Chun) j6z83tj0(at)icloud.com Deep Fake
Fall 2022 L-蔡皓評(Hao-Ping) cstsaitsaiyo(at)gmail.com DDoS GLOBECOM 2023, ICC 2024

Undergraduate Students (學士班)

Year enter Name Email Research field Graduation Achievement
Fall 2023 L-劉文賓 (Wen-Pin Liu) yoyo6112763 (at) gmail.com EV-Path IEEE VTC 2024
Fall 2023 L-胡烜彰(Xuan-Zhang Hu) dodo920118 (at) gmail.com EV-Path IEEE VTC 2024
Fall 2023 L-陳聖旻(Sheng-Min) samn91024 (at) gmail.com MIL-UAV IEEE VTC 2024
Fall 2023 L-丁晧恩(Ting Hao-En) tinghaoen (at) gmail.com MIL-UAV IEEE VTC 2024, IV 2024
Fall 2022 L-羅政傑 (Cheng-Jie) jackson.loa1(at)gmail.com CBS1
Fall 2022 L-盧林翼 (Lin-Yi) titan90280(at)gmail.com CBS1
Fall 2022 MY-王鴻鈞 (Harry) harrywonghungjun(at)gmail.com CBS2 Master in Australia ICC 2023, GLOBECOM 2023
Fall 2022 L-林煜家 (Yu-Chia, Jack) aaaee9104(at)gmail.com CBS2 ICC 2023, GLOBECOM 2023
Fall 2022 L-陳泓奕 (Hong-Yi) enderjacky96285(at)gmail.com CBS3 Master in NYCU GLOBECOM 2023
Fall 2022 L-王彥皓 (Yan-Hao) bses30074(at)gmail.com CBS3 Master in NCU GLOBECOM 2023
Spring 2023 MA-Tarik Kaoutar mr.tarik098 (at) gmail.com CBS4

Internship Students

Period Name Nationality Program
May-Aug 2023 Quan Tran Dinh Dai (UP) Maths, Ho Chi Minh City University of Education, Vietnam TEEP 2023
May-Aug 2023 Punn Kiriwong CS, King Mongkut's University of Technology Thonburi (KMUTT), Thailand TEEP 2023
June-Sep 2023 Behrad Ahmadpour CS, Sharif University of Technology, Iran TEEP 2023
July-Nov 2023 Akkapatch Thouchamongkol Robotics & AI Engineering,
King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand		 TEEP 2023
Oct-Dec 2023 Thinh Ba Lam Information Technology, VNU-University of Science, Vietnam IIPP 2023
Dec 2023 - Jan 2024 Avnish Pandey Indian Institute Of Technology–Jammu (IIT–Jammu), India IIPP 2023
Mar 2024 - Aug 2024 Jirapon Sa-Ingthong Kasetsart University, Thailand TEEP 2024
Mar 2024 - May 2024 Worakorn Koonawootrittriron Kasetsart University, Thailand TEEP 2024
May 2024 - June 2024 Chanatnan Tanmathusorachai King Mongkut's Institute of Technology Ladkrabang (KMITL), Thailand TEEP 2024

Topics

#Code Topic name Restricted Resources
CBS1 Vehicular security and defense
(Adversarial attacks, Safe DRL, Misbehavior Detection,
Autonomous vehicles, Aerial-assisted vehicular networks) 		Access here
CBS2 Physical layer security
(Blind intrusion, Signal surveillance, Moving into Dark building) 		Access here
CBS3 Generative AI-based DDoS defense mechanisms for Imperfect
and non-IID Data (Self-supervised Learning, autoDL,
DDoS in IIoT networks, DDoS in Intelligent Transportation Systems)		 Access here
CBS4 Blockchain and Quantum security
(Blockchain for 6G networks/6G V2X, Quantum-safe Networks)		 Access here

Publication

Google Scholar , DBLP, Publons

Publications: * indicates the corresponding author, ^ denotes my students (or co-advised students)

Journal papers (19 SCI/SCIE papers)

  1. (COMMAG) Van-Linh Nguyen, Ren-Hung Hwang, Bo-Chao Cheng, Ying-Dar Lin, Trung Q. Duong, "Understanding the Privacy Risks of High-accuracy Radio Positioning and Sensing in 5G/6G Networks", IEEE Communications Magazine, to appear, 2022, [SCI/SCIE] (SJR Journal Impact Factor 2021: 11.2, Rank 1/156, Q1, in Computer Science and Information systems, Top journal in Telecommunications)

  2. (NETWORK) Van-Linh Nguyen, Ren-Hung Hwang, Po-Ching Lin, Abhishek Vyas, Van-Tao Nguyen, "Towards the Age of Intelligent Vehicular Networks for Connected and Autonomous Vehicles in 6G", IEEE Network, to appear, 2022, [SCI/SCIE] (SJR Journal Impact Factor 2021: 10.693, Rank 4/156, Q1, in Computer Science and Information systems, Top journal in Telecommunications)

  3. Jia-You Lin, Chia-Che Tsai, Van-Linh Nguyen*, and Ren-Hung Hwang, “Coordinated Multi-Platooning Planning for Resolving Sudden Congestion on the Multi-lane Freeways", Applied Sciences, to appear, 2022, [SCI/SCIE] (SJR Journal Impact Factor 2021: 2.838, Rank 89/172, Q2, in Computer Science and Information Systems) (100% discount APC)

  4. (JISA) Ying-Dar Lin, Ze-Yu Wang, Po-Ching Lin, Van-Linh Nguyen, Ren-Hung Hwang and Yuan-Cheng Lai, “Multi-datasource Machine Learning in Intrusion Detection: Packet Flows, System Logs and Host Statistics”, Journal of Information Security and Applications (Elsevier), 2022, [SCI/SCIE] (SJR Journal Impact Factor 2021: 3.872, Rank 56/156, Q1, in Computer Science, Information Systems).

  5. Lan-Huong Nguyen, Van-Linh Nguyen, and Jian-Jhih Kuo, “Efficient Reinforcement Learning-based Transmission Control for Mitigating Channel Congestion in 5G V2X Sidelink, IEEE Access, Vol. 10., 2022. (SCIE, 35/156, Computer Science, Information Systems, 61/266, Engineering, Electrical & Electronic, Q1).

  6. Ying-Dar Lin, Zi-Qiang Liu, Ren-Hung Hwang, Van-Linh Nguyen, Po-Ching Lin, Yuan-Cheng Lai, “Machine Learning with Variational AutoEncoder for Imbalanced Datasets in Intrusion Detection”, IEEE Access, Vol. 10, 2022. (SCIE, 56/223, Computer Science, Information Systems, Q1)

  7. (S&P) Edy Kristianto, Van-Linh Nguyen*, and Po-Ching Lin, “Decentralized PKI with Blockchain in V2X Communications: Promising or only Euphoria?” IEEE Security & Privacy, 2022, [SCI/SCIE] (SJR Journal Impact Factor 2021: 3.573, Rank 94/334, Q1, in Computer Science).

  8. Lan-Huong Nguyen, Van-Linh Nguyen, and Jian-Jhih Kuo, “Risk-based Transmission Control for mitigating Network Congestion in Vehicle-to-Everything Communications", IEEE Access, vol. 9, pp. 144469-144480, 2021. (SCIE, 35/156, Computer Science, Information Systems, 61/266, Engineering, Electrical & Electronic, Q1).

  9. (T-ITS) Van-Linh Nguyen, Ren-Hung Hwang, and Po-Ching Lin, "Controllable path planning and traffic scheduling for emergency services in the Internet of Vehicles,", IEEE Transactions on Intelligent Transportation Systems (early access), 2021, [SCI/SCIE] (SJR Journal Impact Factor 2021: 6.492, Rank 8/596, Q1, Top #1 SCI journal in Transportation Science & Technology).

  10. (JNCA) Huu-Khoi Bui, Ying-Dar Lin, Ren-Hung Hwang, Po-Ching Lin, Van-Linh Nguyen, and Yuan-Cheng Lai, "CREME: A toolchain of automatic dataset collection for machine learning in intrusion detection", Journal of Network and Computer Applications, Vol. 193, 2021 [SCI/SCIE] (SJR Journal Impact Factor 2021: 7.574, Rank 35/569, Q1, in Computer Science).

  11. (COMST) Van-Linh Nguyen, Po-Ching Lin, Bo-Chao Cheng, Ren-Hung Hwang, Ying-Dar Lin "Security and privacy for 6G: A survey on prospective technologies and challenges", IEEE Communications Surveys and Tutorials, Vol. 23, No. 6, 2021 [SCI/SCIE] (SJR Journal Impact Factor 2021: 25.049, Rank 1/596, Q1, in Computer Science, the highest impact factor journal in all IEEE publications). ((Citation > 130).

  12. Van-Linh Nguyen, Po-Ching Lin, Ren-Hung Hwang, "A Beamforming Signal-Based Verification Scheme for Data Sharing in 5G Vehicular Networks", IEEE Access, Vol. 8, 2020 [SCI/SCIE] (SJR Journal Impact Factor 2020: 3.476, Rank 23/155, Q1, in Computer Science and Information Systems).

  13. (TVT) Van-Linh Nguyen, Po-Ching Lin, and Ren-Hung Hwang, "Enhancing Misbehavior Detection in 5G Vehicle-to-Vehicle Communications", IEEE Transactions on Vehicular Technology, Vol. 69, No. 9, 9417-9430, 2020, [SCI/SCIE] (SJR Journal Impact Factor 2021: 5.978, Rank 29/319, Q1, Top #2 journal in Transportation Science & Technology) ((Citation > 30).

  14. Ren-Hung Hwang, Min-Chun Peng, Chien-Wei Huang, Po-Ching Lin, and Van-Linh Nguyen, “An unsupervised deep learning model for early network traffic anomaly detection", IEEE Access, Vol. 8, 2020, [SCI/SCIE] (SJR Journal Impact Factor 2020: 3.476, Rank 23/155, Q1, in Computer Science and Information Systems). ((Citation > 130).

  15. Ren-Hung Hwang, Min-Chun Peng, Van-Linh Nguyen, and Yu-Lun Chang, “An LSTM-Based Deep Learning Approach for Classifying Malicious Traffic at the Packet Level", Applied Sciences, Vol. 9, No. 16, pp. 3414, 2019, [SCI/SCIE] (SJR Journal Impact Factor 2021: 2.838, Rank 89/172, Q2, in Computer Science and Information Systems). (Citation > 110).

  16. (COMML) Van-Linh Nguyen, Po-Ching Lin, and Ren-Hung Hwang, “Multi-array relative positioning for verifying the truthfulness of V2X messages”, IEEE Communications Letters, Vol. 23, No. 10, pp. 1704-1707, 2019, [SCI/SCIE] (SJR Journal Impact Factor 2021: 3.436, Rank 28/88, Q1, in Telecommunications).

  17. Van-Linh Nguyen, Po-Ching Lin, and Ren-Hung Hwang, "Web Attacks: beating monetisation attempts", Network Security Journal (Elsevier), No.5, 2019. (Scopus), (SJR Journal Impact Factor 2021: 0.900, Rank 195/272, Q2, in Computer Science).

  18. Van-Linh Nguyen, Po-Ching Lin, and Ren-Hung Hwang (2019, Apr), "Energy depletion attacks in Low Power Wireless networks", IEEE Access, Vol. 7, pp. 51915- 51932, 2019, [SCI/SCIE] (SJR Journal Impact Factor 2020: 3.476, Rank 23/155, Q1, in Computer Science and Information Systems). ((Citation > 60).

  19. (NETWORK) Van-Linh Nguyen, Po-Ching Lin, and Ren-Hung Hwang, "MECPASS: Distributed Denial of Service Defense Architecture for Mobile Networks", IEEE Network, Vol. 32, No. 1, pp. 118-124, 2018, [SCI/SCIE] (SJR Journal Impact Factor 2021: 10.693, Rank 4/156, Q1, in Computer Science and Information systems, Top #3 journal in Telecommunications) (Citation > 17).

Conference papers (selected): ^ denotes my students (or co-advised students)

  1. Yan-Hao Wang^, Hao-Ping Tsai^, Hong-Yi Chen^, Van-Linh Nguyen, ,Ren-Hung Hwang, "Efficient AutoDL for Generating Denial-of-Service Defense Models in the Internet of Things", to appear in IEEE Global Communications Conference Conference (GLOBECOM 2023), Kuala Lumpur , Malaysia.

  2. Harry Wong Hung-Jun^, Yu-Chia Lin^, Van-Linh Nguyen, "Efficient Restricted-Access Building Drawing Regeneration from Passive Radio Localization", to appear in IEEE Global Communications Conference Conference (GLOBECOM 2023), Kuala Lumpur , Malaysia.

  3. Van-Linh Nguyen, Lan-Huong Nguyen^, Po-Ching Lin, Ren-Hung Hwang, "Deep Learning-based Localization and Outlier Removal Integration Model for Indoor SurveillanceIEEE International Conference on Communications Conference (ICC 2023), Rome, Italy.

  4. Van-Linh Nguyen, Harry Wong Hung-Jun^, Yu-Chia Lin^, Ren-Hung Hwang, "Efficient Spatial-Temporal Angle-Delay Analysis Scheme for Massive MIMO Indoor Tracking",IEEE International Conference on Communications Conference (ICC 2023), Rome, Italy.

  5. Lan-Huong Nguyen^, Van-Linh Nguyen, Yu-Hao Liu^Tracking Risks from Multi-path TDoA-based Localization in Wireless CommunicationsIEEE 25th International Conference on Advanced Communications Technology Conference (ICACT 2023), PyeongChang, Korea.

  6. Van-Linh Nguyen, Lan-Huong Nguyen^, Ren-Hung Hwang, Jian-Jhih Kuo, Po-Ching Lin, "Efficient Aerial Relaying Station Path Planning for Emergency Event-based Communications", to appear (poster) in IEEE Consumer Communications and Networking Conference (CCNC 2023), Las Vegas, USA.

  7. Chia-Che Tsai, Chia-Yiu Lin, Van-Linh Nguyen, and Ren-Hung Hwang (2022, May) “Efficient traffic coordination for resolving temporary bottlenecks on the multi-lane freeways,”, to appear in IEEE International Conference on Communications (ICC 2022), Seoul, South Korea.

  8. Lan-Huong Nguyen, Ren-Hung Hwang, Po-Ching Lin, Van-Linh Nguyen, JianJhih Kuo (2021, Sep), "Robust Positioning-based Verification Scheme for Enhancing Reliability of Vehicle Platoon Control", The 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall).

  9. Ren-Hung Hwang, Van-Linh Nguyen, Chia-Che Tsai, and Po-Ching Lin (2021, Sep), "Platoon-based Vehicle Coordination Scheme for Resolving Sudden Traffic Jam in the IoV Era", The 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall).

  10. Van-Linh Nguyen, Po-Ching Lin and Ren-Hung Hwang (2019, Dec), "Physical signal-driven fusion for V2X misbehavior detection", IEEE Vehicular Networking Conference (VNC2019-Fall), Los Angeles, California, USA.

  11. Ren-Hung Hwang, Van-Linh Nguyen, and Po-Ching Lin (2018, Oct), "StateFit: A security framework for SDN programmable data plane model", The 15th International Symposium on Pervasive Systems, Algorithms and Networks (ISPAN), Yichang, China.

  12. Po-Ching Lin, Ping-Chung Li, and Van-Linh Nguyen (2017, Jan), "Inferring OpenFlow rules by active probing in software-defined networks", The 19th International Conference on Advanced Communications Technology (ICACT 2017), Pyongchang, South Korea

Comming soon.

Lab schedule

Research tips

Orientation for freshmen (新生訓練)

Teamwork working style suggestions

Lab PPT template

*3-2-1 rule in a slide: 3 key points, 2 figures/annotations (highlight key information), 1 conclusion

*Number of words per slide: no more than 30

How to read/write a research paper

Source for searching papers

Encourage to read top/good journal/conference papers instead of yet-reviewed ones

Some selected journal/conference names can be referred here

Top good habits

  • Raise questions in the lab/team meetings if you don't understand any stuff. No shy!
  • Respect others' opinions/disagree but be ready to debate in a constructive/professional manner
  • Before confirming any answer, please make sure you have enough evidence (search if you have not)
  • Prepare your presentation in advance with key points, summarized lessons learned, and your own conclusion
  • Record your progress with note/tracking (MS/Google Docx, Evernotes,..) or any method that you can reecheck your history records later
  • Keep your desktop/working place clean as possible

Scholarship & Financial Support

This page is specified for incoming/international students.

General Scholarship & Financial Support policy in our college

You may also refer other scholarship sources

Please email the head of the lab the following documents

  • Curriculum vitae
  • Your highest transcript
  • International English fluency certificate (e.g., TOEIC/IELTS/TOEFL)
  • Publication list, projects you have done (github link), or any proof for your capability
  • Study of purpose

Questions & Answers

This page is specified for incoming students (freshmen, 新生)

Check our lab orientation for freshmen here

Besides, you may like reading some key following Qs and As

1. Who can I contact if I like to join the lab? 如果新生要問老師可不可以進入實驗室的話，怎麼聯絡呢？

2. What are the research directions in the lab? 實驗室的研究方向是什麼？

  • Please check our research direction introduction here .
  • You may like checking our work summary here too.

3. Do I need to publish a paper before graduation? 畢業口試前需要有論文發表嗎？

  • Ph.D. student: Yes, at least two SCI papers to satisfy CCU-SCIE graduation requirements.
  • Master student: No, but encourage to publish a conference paper before the oral defense (畢業口試).
  • Undergraduate student (大三): No, but encourage to publish a conference paper before the mini exam (畢業專題).

4. Do I need any special skill to join the lab? 我需要具備什麼能力才能進入實驗室嗎？

No, but we recommend the candidates who know a little bit about ONE of the following fields:

  • Proactive, creative, well-motivated character in working
  • Computer Networks
  • Networking/cybersecurity
  • Mathematics and optimization
  • AI/Machine Learning/Deep Learning

5. Must I join a project immediately after I join the lab? 加入實驗室後是否需要立即加入實驗室的計劃？

No, but the professor encourages you to join at least a project at the right time.

  • Ph.D. student: required to join if you want us to support stipend fee.
  • Master student: from the second or third semester.
  • Undergraduate student (大三): No, but encourage to join to get experience.

Contact

Van-Linh Nguyen (阮文齡)

Room 301B, College of Engineering (I), National Chung Cheng University, Chiayi, 621301, Taiwan

nvlinh@cs.ccu.edu.tw
(please cc to this secondary email tuonglinhhm@gmail.com if no reply ~ 2 days)

Face-to-face meeting (contact via email first)

International internship 2023-2024

The internship program will provide you rich experiences about high-quality education in Taiwan on the cutting-edge technologies

Welcome international internship students to join our lab!

New Internship Program! NSTC International Internship Pilot Program (open)

  • Program detail
  • Monthly support: as NSTC regulation here
  • Internship period: 3 months
  • Starting date: start no later than 2024/12/30
  • Submission deadline: July 30
  • Decision notification: 1 available slot

The scholarship is sponsored by Taiwan National Science and Technology Council

TEEP Program (open)

Program Overview:  𝗧𝗮𝗶𝘄𝗮𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 (𝗧𝗘𝗘𝗣) 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝘀 𝘀𝗵𝗼𝗿𝘁-𝘁𝗲𝗿𝗺 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗶𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗳𝗼𝗿 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀, gaining an in-depth educational experience in Taiwan

The official website for the program is here https://teep.studyintaiwan.org/ 

My 2024 program is here https://teep.studyintaiwan.org/program/751  . This call is for the second batch. 

Mentor Topic introductions:  Artificial Intelligence (AI) technologies, 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, our lab is recruiting talents who are interested in the following topics: 

(1) AI for Good: Computer vision, Network Intelligence/6G,  Autonomous Driving

(2) 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.

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

(4) 6G security: Signal sensing, physical layer authentication, high-accuracy localization and sensing.

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


What you will do during the internship period

1. Read/survey the international papers on selected topics, e.g., Explainable AI, WiFi sensing

2. Do programming for mini projects on selected topics: e.g., AI models for preventing adversarial attacks

3. Suggest novel/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 group: 

1. Strong interest in IT, computer science, computer vision, 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 )


Period

Students should select at least 8 weeks to 6 months. The starting date can be any time between August 2024 and April  30, 2025. 


Required application materials


How to Apply

**Application without application form or materials will be regarded as incomplete and will not be further notified or reviewed.


Application form: Please fill out this form for management

https://docs.google.com/forms/d/e/1FAIpQLSdc3JBFGGBnepqWpP-Jch94UrB5kW0IL4SKpNcjQliEBO64Sw/viewform 

We welcome the talents to join our lab!