Sheng-Shan Chen 陳勝舢

Sheng-Shan Chen 陳勝舢

“Sean” comes from the first and last letters of Sheng-Shan, a name given by his Ph.D. advisor.

Sheng-Shan Chen is a cybersecurity researcher at CyCraft Technology Corporation. He holds a Ph.D. in Computer Science and Information Engineering from the National Taipei University of Technology. During his doctoral studies, he was awarded a research grant under the National Science and Technology Council’s Graduate Students Study Abroad Program and conducted visiting research at the Department of Software Systems and Cybersecurity at Monash University, Australia.

His research interests include deep learning applications, cybersecurity, and cyber threat intelligence analysis. He has participated in numerous industry–academia collaborative research projects with organizations including CyCraft Technology Corporation, the National Institute of Cyber Security (NICS), Japan’s National Institute of Information and Communications Technology (NICT), the National Health Research Institutes (NHRI), Chang Gung Memorial Hospital, and Taipei Municipal Wanfang Hospital.

Education & Experience

  • 2022/09 – 2026/03Ph.D., Department of Computer Science and Information Engineering, National Taipei University of Technology — Biomedical Informatics Laboratory / Information Security Laboratory (資訊安全實驗室)
  • 2024/08 – 2025/02Visiting Researcher, Department of Software Systems and Cybersecurity, Monash University, Australia
  • 2023/07 – 2026/03Ph.D. Student Researcher, Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes (NHRI)
  • 2022/08 – 2026/03Ph.D. Student Researcher, Cyber Threat Intelligence Division (網路威脅情資組), National Institute of Cyber Security (NICS), including the Cybersecurity Center of Excellence (CCoE)
  • 2026/07 – PresentCybersecurity Researcher, CyCraft Technology Corporation
  • 2023/03 – 2026/06Cybersecurity Research Intern, CyCraft Technology Corporation

Research Interests

Deep learning applications, cyber threat intelligence analysis, cybersecurity, medical informatics, spatial databases

Teaching

  • 2026Instructor, AI 資安應用實作與模型安全 (AI security in practice and model security), Advanced Information Security Summer School (AIS3), Ministry of Education (website)
  • 2026Teaching Assistant, Introduction to Data Science (資料科學導論), Department of Computer Science and Information Engineering, National Taipei University of Technology
  • 2026Instructor, programming trade, 2026 New Taipei City skills competition training program (115年新北市技藝競賽選手培訓計畫「金手培訓」), New Taipei City Education Department (新北市教育局) (program details)
  • 2026Lecturer, general education lecture course 新型態資安概論 (Introduction to emerging cybersecurity), General Education Center, Soochow University, spring semester 2026
  • 2025Instructor, 典範轉移：AI時代的情資運用及防禦 (Paradigm shift: threat intelligence and defense in the AI era), Advanced Information Security Summer School (AIS3), Ministry of Education (website)
  • 2024Instructor, 高等資安攻防 (Advanced cyber offense and defense), master’s program, Department of Computer Science and Information Engineering, National Taiwan Normal University (course page)
  • 2024Instructor, 情資運用及防禦 (Threat intelligence and defense), Advanced Information Security Summer School (AIS3), Ministry of Education (website)
  • 2022 – 2024Teaching Assistant, Advanced Information Security Summer School (AIS3), Ministry of Education (website)
  • 2023 – PresentTeaching Assistant, Secure Programming (安全程式設計), master’s program, Department of Computer Science and Information Engineering, National Taipei University of Technology (syllabus)
  • 2019 – PresentSkills-competition coach for the 資訊與網路技術 (IT network technology) and 網路安全 (cyber security) trades, Department of Data Processing (資料處理科), New Taipei Municipal San-Chung Commercial and Industrial Vocational High School (department website)

Competitions

  • 2020Silver Medal (2nd place), Cyber Security trade (網路安全職類), 50th National Skills Competition, Ministry of Labor, Taiwan

Honors & Awards

  • 2025Outstanding Performance Award, mentor training, 9th cohort of 臺灣好厲駭, Ministry of Education Advanced Cybersecurity Practical Talent Cultivation Program (教育部先進資通安全實務人才培育計畫)
  • 2025National Science and Technology Council (NSTC) travel grant for graduate students attending international conferences – Fukuoka, Japan
  • 2025Outstanding Youth Award (系所優秀青年), National Taipei University of Technology, academic year 2025–2026
  • 2025Ministry of Education Doctoral Scholarship (教育部博士生獎學金)
  • 2024NSTC Graduate Students Study Abroad Program (千里馬計畫) grant
  • 2024Outstanding Graduate Student Research Award (優秀本國研究生研究成果獎勵), National Taipei University of Technology, academic year 2024–2025
  • 2024DEVCORE National Cybersecurity Scholarship (戴夫寇爾全國資訊安全獎學金)
  • 2024Outstanding Performance Award, mentor training, 8th cohort of 臺灣好厲駭, Ministry of Education Advanced Cybersecurity Practical Talent Cultivation Program
  • 2023NSTC travel grant for graduate students attending international conferences – Kuala Lumpur, Malaysia
  • 2023Outstanding Performance Award, mentor training, 7th cohort of 臺灣好厲駭, Ministry of Education Advanced Cybersecurity Practical Talent Cultivation Program
  • 2022Best Project Award, Advanced Information Security Summer School (AIS3), Ministry of Education
  • 2021Best Project Award, Advanced Information Security Summer School (AIS3), Ministry of Education

Academic Service

  • 2025Peer Reviewer, Journal of Information Security and Applications (Elsevier)
  • 2025Peer Reviewer, Taiwan Academic Network Conference (TANET 2025)

Publications

Journal papers 8

  1. Sheng-Shan Chen, Ren-Hung Hwang*, Ying-Dar Lin, Tun-Wen Pai, and Chin-Yu Sun*, “Extracting Attack Pattern from WAF Logs and CTIs Using Contrastive Semantic Learning,” IEEE Transactions on Network and Service Management, vol. 23, pp. 8157–8182, 2026. doi: 10.1109/TNSM.2026.3738730. [2025 JCR IF: 5.7, COMPUTER SCIENCE, INFORMATION SYSTEMS, Q1] [2025 SJR: 1.389, Computer Networks and Communications, Q1] [SCI]
  2. Sheng-Shan Chen, Yi-Sheng Hsu, Tien-Chih Lin, Chung-Kuan Chen, and Chin-Yu Sun*, “Enhancing Static Vulnerability Alert Validation using Large Language Models,” Journal of Systems and Software, vol. 243, Art. no. 113040, Jan. 2027. doi: 10.1016/j.jss.2026.113040. [2025 JCR IF: 3.8, COMPUTER SCIENCE, SOFTWARE ENGINEERING, Q2] [2025 SJR: 0.950, Software, Q1] [SCI]
  3. Sheng-Shan Chen, Kai-Siang Cao, Chung-Kuan Chen, Chin-Yu Sun, “Retrieval-Augmented Generation for Identifying ATT&CK Technique,” Communications of the CCISA, vol. 31, no. 3, pp. 20–39, Aug. 2025. https://cccisa.ccisa.org.tw/article/view/3210
  4. Chin-Yu Sun*, Sheng-Shan Chen, and Ya-Han Ho, “De-Identification of Open-Source Intelligence Using Finetuned LLaMA-3,” High-Confidence Computing, vol. 6, no. 2, Art. no. 100357, Jun. 2026. doi: 10.1016/j.hcc.2025.100357. [2024 JCR IF: 3.0, COMPUTER SCIENCE, INFORMATION SYSTEMS, 118/258, Q2] [SCI]
  5. Sheng-Shan Chen, Tun-Wen Pai, and Chin-Yu Sun*, “EnhanceCTI: An Enhanced Semantic Filtering and Feature Extraction Framework for Industry-Specific Cyber Threat Intelligence,” Computers & Security, vol. 158, Art. no. 104649, Nov. 2025. doi: 10.1016/j.cose.2025.104649. [2024 JCR IF: 5.4, COMPUTER SCIENCE, INFORMATION SYSTEMS, 42/258, Q1] [SCI]
  6. Nai-Hsuan Hwang, Sheng-Shan Chen, Tun-Wen Pai*, Mary Hsin-Ju Ko, Yan-Lan Yu, and Hui-Ju Chen, “Automatic Assessment of Fine Motor Development in Children through Hand-Drawn Shape Images,” Pediatrics & Neonatology, vol. 66, no. 6, pp. 606–612, Nov. 2025. doi: 10.1016/j.pedneo.2025.04.001. [2024 JCR IF: 2.1, PEDIATRICS, 61/191, Q1] [SCI]
  7. Sheng-Shan Chen, Ren-Hung Hwang*, Asad Ali, Ying-Dar Lin, Yu-Chih Wei, and Tun-Wen Pai*, “Improving Quality of Indicators of Compromise Using STIX Graphs,” Computers & Security, vol. 144, Art. no. 103972, Sep. 2024. doi: 10.1016/j.cose.2024.103972. [2023 JCR IF: 4.8, COMPUTER SCIENCE, INFORMATION SYSTEMS, 46/250, Q1] [SCI]
  8. Kun-Ji Li, Sheng-Shan Chen, and Chin-Yu Sun*, “Analysis and Mitigation Strategies for Prompt Injection Attacks,” Communications of the CCISA, vol. 30, no. 3, pp. 1–19, 2024. https://cccisa.ccisa.org.tw/article/view/3084

Conference papers 10

  1. Ching-Ting Chiu, Kuan-Ting Chen, Ying-Yen Shih, Fu-Hao Yeh, I-Min Lin, and Sheng-Shan Chen*, “LiteAdGraph: Static Proxy Promotion Graphs for Android Malware Forensic Screening,” accepted by the 2026 IEEE International Workshop on Information Forensics and Security (WIFS 2026), Sendai, Japan, Dec. 2026.
  2. Wei-Jyun Chen, Sheng-Shan Chen, Tun-Wen Pai*, and Chien-Hung Lee, “The Signal of DNA Methylation Biomarker for Early Diagnosis and Prognosis of Diabetic Kidney Disease,” in Imaging, Signal Processing and Communications: Proceedings of the 10th International Conference (ICISPC 2026), Kobe, Japan, Jul. 11–13, 2026, Advances in Transdisciplinary Engineering, vol. 99, IOS Press, 2026, pp. 40–48. doi: 10.3233/ATDE260990.
  3. Sheng-Shan Chen, Chia-Hsien Liao, and Chin-Yu Sun, “A Secure Post-Quantum Authentication Protocol Integrating with ML-KEM for LEO Satellite Communication,” accepted by the 2026 10th International Conference on Cryptography, Security and Privacy (CSP), Sapporo, Japan, Apr. 25–27, 2026.
  4. Sheng-Shan Chen, Yi-Xuan Wu, Ying-Xuan Ho, Pang-Po Cheng, and Chin-Yu Sun*, “RANsomCheck: A CNN-Transformer Model for Malware Detection Based on API Call Sequences,” in Advances and Trends in Artificial Intelligence. Theory and Applications (IEA/AIE 2025), Lecture Notes in Computer Science, Springer, Singapore, 2025, pp. 116–127. doi: 10.1007/978-981-96-8892-0_10.
  5. Sheng-Shan Chen, Ren-Hung Hwang, Chin-Yu Sun, Ying-Dar Lin, and Tun-Wen Pai*, “Enhancing Cyber Threat Intelligence with Named Entity Recognition Using BERT-CRF,” in GLOBECOM 2023 – 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia, Dec. 2023, pp. 7532–7537. doi: 10.1109/GLOBECOM54140.2023.10436853.
  6. Sheng-Shan Chen, Chin-Yu Sun, and Tun-Wen Pai*, “Using Machine Learning for Efficient Smishing Detection,” in 2023 International Conference on Consumer Electronics – Taiwan (ICCE-Taiwan), Jul. 2023, pp. 207–208. doi: 10.1109/ICCE-Taiwan58799.2023.10226901.
  7. Sheng-Shan Chen, Tun-Wen Pai, and Chin-Yu Sun*, “Applying the Diamond Model of Intrusion Analysis with Generative Pre-trained Transformer 3,” in 2023 International Conference on Consumer Electronics – Taiwan (ICCE-Taiwan), Jul. 2023, pp. 289–290. doi: 10.1109/ICCE-Taiwan58799.2023.10226923.
  8. Sheng-Shan Chen, Hou-Tsan Lee, Tun-Wen Pai*, and Chao-Hung Wang, “Intelligent Medical Interactive Educational System for Cardiovascular Disease,” in Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence (IEA/AIE 2022), Lecture Notes in Computer Science, Springer, Cham, 2022, pp. 101–111. doi: 10.1007/978-3-031-08530-7_9.
  9. 李宗儒, 張光文, 陳勝舢, 林偉川*, “應用多功能感測器於車內安全系統”, 2020 Taiwan Academic Network Conference (TANET 2020), Taipei, Taiwan, Oct. 28–30, 2020.
  10. 陳勝舢, 李後燦, 王兆弘, 白敦文*, “心血管疾病之智慧醫療教育互動系統”, 2020 Taiwan Academic Network Conference (TANET 2020), Taipei, Taiwan, Oct. 28–30, 2020.

Pending Publications / Manuscripts Under Review

  1. Sheng-Shan Chen, Kiki Adhinugraha, Tun-Wen Pai, and David Taniar*, “Retrieving Urban Road Data from Georeferenced Historical Map Images,” submitted to Transactions in GIS, June 2026. Under review.

Last updated 2026-10-20 · Publications synced from SecTools.tw

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