Vinh Dang

PhD Degree, Computer Science, Universite de Lorraine, France 

• Machine Learning 
• Data Analysis 
  
• Statistics 
  

Intrusion Detection 

Book chapters

• Quang-Vinh Dang. (2022).Machine Learning for Intrusion Detection Systems: Recent Developments and Future Challenges. Balamurugan Easwaran. Real-Time Applications of Machine Learning in Cyber-Physical Systems ISBN: 9781799893080, pp. 93-118. Real-Time Applications of Machine Learning in Cyber-Physical Systems, IGI

Journals

• Quang-Vinh Dang. (2020). Predicting the Signs of the Links in a Network. Journal of Digital Science (ISSN: 26868296), 2, 14-22. DOI: 10.33847/2686-8296.2.2_2
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2016).Quality assessment of Wikipedia articles: a deep learning approach. ACM Sigweb (ISSN: 1931-1745). DOI: https://doi.org/10.1145/2996442.2996447
• Quang-Vinh Dang. (2022). Using Machine Learning for Intrusion Detection Systems. Computing and Informatics (ISSN: 1335-9150) (ISI), 41, 12-33. DOI: 10.31577/cai_2022_1_12
• Claudia-Lavinia Ignat , Quangvinh Dang, Valerie L. Shalin. (2019). The Influence of Trust Score on Cooperative Behavior. ACM Transactions on Internet Technology (ISSN: 1533-5399) (ISI). DOI: https://doi.org/10.1145/3329250
• Quang-Vinh Dang. (2022). Studying the Attack Detection Problem Using the Dataset CIDDS-001. Lecture Notes in Networks and Systems (ISSN: 2367-3370) (SCOPUS), 381, 525-532. DOI: 10.1007/978-3-030-93677-8_46
• Quang-Vinh Dang. (2021). Citation Recommendation with Random Walking. Lecture Notes in Networks and Systems (ISSN: 2367-3389) (SCOPUS), 186, 33-39. DOI: 10.1007/978-3-030-66093-2_4
• Quang-Vinh Dang. (2021). Right to Be Forgotten in the Age of Machine Learning. Advances in Intelligent Systems and Computing (ISSN: 21945357) (SCOPUS), 1352. DOI: 10.1007/978-3-030-71782-7_35
• Quang-Vinh Dang. (2021). Detecting the Attacks to DNS. Lecture Notes in Networks and Systems (ISSN: 23673370) (SCOPUS), 315, 173-179. DOI: 10.1007/978-3-030-85799-8_15
• Quang-Vinh Dang, Thanh-Hai Vo. (2021).Reinforcement Learning for the Problem of Detecting Intrusion in a Computer System. Lecture Notes in Networks and Systems (ISSN: 2367-3389) (SCOPUS), 236, 755-762. DOI: 10.1007/978-981-16-2380-6_66
• Quang-Vinh Dang,My-Linh Tran,Minh-Hung Dang,Thi-Minh-Trang Tran,Huu-Nghia Nguyen,Thi-Minh-Hue CaiT,hanh-Duyen Phan. (2021). Group’s Influence Value in Logistic Regression Model and Gradient Boosting Model. Lecture Notes in Networks and Systems (ISSN: 2367-3370) (SCOPUS), 235, 713-721. DOI: 10.1007/978-981-16-2377-6_66
• Quang-Vinh Dang. (2021). Intrusion Detection in Software-Defined Networks. Lecture Notes in Computer Science (ISSN: 1611-3349) (SCOPUS), 13076, 356-371. DOI: 10.1007/978-3-030-91387-8_23
• Quang-Vinh Dang. (2020). Link-Sign Prediction in Signed Directed Networks from No Link Perspective. Lecture Notes in Networks and Systems (ISSN: 2367-3389) (SCOPUS), 136, 291-300. DOI: https://doi.org/10.1007/978-3-030-49264-9_26
• Quang-Vinh Dang. (2020). Understanding the Decision of Machine Learning Based Intrusion Detection Systems. Lecture Notes in Computer Science (ISSN: 16113349) (SCOPUS), 12466, 379-396. DOI: 10.1007/978-3-030-63924-2_22
• Minh-Tuan Truong, Quang-Vinh Dang. (2020).Digital Signatures Using Hardware Security Modules for Electronic Bills in Vietnam: Open Problems and Research Directions. Communications in Computer and Information Science (ISSN: 18650929) (SCOPUS), 1306, 469-475. DOI: 10.1007/978-981-33-4370-2_35
• Quang-Vinh Dang. (2019). Studying machine learning techniques for intrusion detection systems. Lecture Notes in Computer Science (ISSN: 1611-3349) (SCOPUS). DOI: https://doi.org/10.1007/978-3-030-35653-8_28
• Quang-Vinh Dang. (2019). Reinforcement Learning in Stock Trading. Advances in Intelligent Systems and Computing (ISSN: 2194-5357) (SCOPUS). DOI: https://doi.org/10.1007/978-3-030-38364-0_28
  

Conferences

• Quang-Vinh Dang. (2021). Assessing the Quality of Wikipedia Articles. ACM ICMLSC, 2021 (ISBN: 9781450387613), SCOPUS.
• Quang-Vinh Dang; Minh-Tuan Truong; Minh-Hoang Huynh. (2021).Studying the Fuzzy Clustering Methods to Understand Employee Performance. 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021 (ISBN: 978-1-6654-1515-6), SCOPUS.
• Quang-Vinh Dang; Thanh-Hai Vo. (2021). Studying the Reinforcement Learning techniques for the problem of intrusion detection. 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021 (ISBN: 978-1-6654-1515-6), SCOPUS
• Quang-Vinh Dang. (2021). Studying the Fuzzy clustering algorithm for intrusion detection on the attacks to the Domain Name System. 2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), 2021 (ISBN: 978-1-6654-0096-1), SCOPUS.
• Quang-Vinh Dang, Thai-Ha Pham, My-Linh Tran, Minh-Hung Dang, Quoc-Khanh Nguyen, Anh-Nguyen Nguyen. (2021).Towards an automatic interior design system using GAN. 2021 4th International Conference on Data Science and Information Technology, 2021 (ISBN: 978-1-4503-9024-8), SCOPUS.
• Quang-Vinh Dang. (2021). Evaluating machine learning algorithms for intrusion detection systems using the dataset CIDDS-002. CSSE 2021: 2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021), 2021 (ISBN: 978-1-4503-9067-5), SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2018).Link-Sign Prediction in Dynamic Signed Directed Networks. 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC), 2018 (ISBN: 978-1-5386-9502-9), SCOPUS.
• Quang-Vinh Dang, Jerome Francois. (2018). Utilizing attack enumerations to study SDN/NFV vulnerabilities. 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), 2018 (ISBN: 978-1-5386-4634-2), SCOPUS
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2017). Trust: a simple deep learning approach for social recommendation. 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), 2017 (ISBN: 978-1-5386-2565-1), SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2017).An end-to-end learning solution for assessing the quality of Wikipedia articles. OpenSym '17: Proceedings of the 13th International Symposium on Open Collaboration, 2017 (ISBN: 978-1-4503-5187-4), SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2016). Measuring Quality of Collaboratively Edited Documents: the case of Wikipedia. 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC), 2016 (ISBN: 978-1-5090-4607-2), SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2016).Computational Trust Model for Repeated Trust Games. 2016 IEEE Trustcom/BigDataSE/ISPA, 2016 (ISBN: 9781509032068), SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2016).Quality Assessment of Wikipedia Articles without Feature Engineering. JCDL '16: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016 (ISBN: 9781509052547) , SCOPUS.
• Quang-Vinh Dang, Claudia-Lavinia Ignat. (2016).Performance of real-time collaborative editors at large scale: User perspective. 2016 IFIP Networking, 2016 (ISBN: 9781509007882), SCOPUS.

• Master thesis, Computer Science 
• Undergraduate, Computer Science 
  

• Data Science Manager, VNG 
• Head of Data Science, Be group 
  
• Lead Data Scientist, Tyme 
  
• Data Scientist, Trusting Social 
  
• Data Scientist, Barco 
  
• Project Manager, FPT Software 
  
• Research Engineer, Dasan Networks 
  
• R&D Engineer, Panasonic 
  

Teaching experience: 

• 2019 – present: Lecturer, Industrial University of Ho Chi Minh city. 
  
• Visiting Lecturer: HCM University of Education, University of Information Technology, UEH University, Hoa Sen University, Vietnam-Germany University