THÔNG TIN GIẢNG VIÊN

TS. Đỗ Sính

  • Văn phòng: Khoa công nghệ thông tin - Phòng 710 - Đại học Đông Á.
  • Điện thoại: 0236 3.828.556​​
  • Email: sinhdo@donga.edu.vn

Education:

  • 2015 - 2019: Doctor of Philosophy in Electrical Engineering and Computer Science, National Chiao Tung University, Hsinchu, Taiwan, November 2019. (September 2015 – November 2019) Dissertation: “A study on SDN/NFV-Based 5G-Enabled IoT”, passed with 4.3/4.3
  • 2011: Bachelor in Business Administration, Ha Noi Open University, Viet Nam, 2011.
  • 2006: Master Science in Computer Science, Da Nang University, Viet Nam, December 2006. Dissertation: "META-LEARNING in distributed data mining systems”, passed with 8.5/10.
  • 2005: Training Course in Broadband Technology & Services, Bharat Ratna Bhim Rao Ambedkar Institude of Telecom Training, Ridge Road, Jabalpur, India, 01 month, 2005.
  • 2002: The IT Internship Program in High-speed Information Network Technology, KTHRD Center, Korea, 03 months, 2002.
  • 1998: Telecommunications Cooperation Training Project (TCTP): Overview of High Capacity Transmission System, SingTel, Singapore, 01 month, 1998.
  • 1997: Bachelor in Electronic Engineering, Da Nang University, Viet Nam, July 1997 Dissertation: "SDH Transmission", passed with 8.7/10.

Working experience:

  • 1997-2003: Department of Post, Telecommunication zone 3 - The General Post and telecommunication – Viet Nam
  • 2003-2007: Department of Information Technology – Ministry of Information and Communications – Viet Nam
  • 2007- 2009: Viet-Han IT College - Ministry of Information and Communications – Viet Nam
  • 2009- 2015: Dong A University, Da Nang, Viet Nam

  • 2015- 2019: Computer Science Department – National Chiao Tung University, Hsinchu, Taiwan; MicroInfo Research Center – National Chiao Tung University, Hsinchu, Taiwan; Industrial Technology Research Institute, Hsinchu, Taiwan.

Teaching experience:

  • Dong A University, Viet Nam, Lecturer, 2009–2015 Taught the course “Network Programming", "Network Administration", "Computer Network”. Designed course structure and requirements; lectured and administered all grades.
  • Viet-Han IT College - Ministry of Information and Communications – Viet Nam, Lecturer, 2007–2009 Taught the course “Data communication and Networking". Designed course structure and requirements; lectured.

Research Areas:

  • 5G Mobile Network,
  • Software Define Network (SDN),
  • Network Function Virtualization (NFV),
  • Internet of Things (IoT),
  • Big Data,
  • Machine learning,
  • E-commerce.

Awards:

  • Outstanding of implement in work, The General Post and Telecommunication, Viet Nam, 2000.
  • Outstanding of implement of Science Research, Dong A University, Viet Nam, 2014.

Projects:

  1. Researched and Designed Undergraduate Program in Information Technology, Dong A University, Viet Nam, 2013, revised 2014, 2015.
  2. Researched and Designed Undergraduate Program in E-commerce, Dong A University, Viet Nam, 2013, 2014, 2015.
  3. Researched and attended training course in Services of Broadband Communication, Electronics and Telecommunications Research Institute (ETRI), Korea, 03 month, 2007.
  4. Participated in planning and deploying project of information technology in office management system at Department of Information Technology – Ministry of Information and Communications, Viet Nam, 2007.
  5. Participated in planning and deployed supervision in the South-East Asia - Middle East - Western Europe 3 (Se-Me-We 3) optical submarine telecommunications cable Project - Section Viet Nam, 1997, 1998.

Publications:

  1. D. Sinh, L. V. Le, B. S. P. Lin, and L. P. Tung, “SDN/NFVbased M-CORD for achieving scalability in deploying NBIoT Gateways,” 2019 IEEE Pacific Rim. Conf. PacRim, Victoria, B.C, Canada, Aug, 2019, International Conference.
  2. D. Sinh, L. V. Le, B. S. P. Lin, and L. P. Tung, “SDN/NFVbased Network Infrastructure for Enhancing IoT Gateways,” 12th IEEE iThings. Conf. iThings-2019, Atlanta, USA, Jul, 2019, International Conference.
  3. L. V. Le, D. Sinh, L. P. Tung, and B. S. P. Lin, “A practical model for traffic forecasting based on big data, machine learning, and network KPIs,” CCNC 2018 - 2018 15th IEEE Annu. Consum. Commun. Netw. Conf., vol. 2018– Janua, Las Vegas, USA, 2018, International Conference.
  4. D. Sinh, L. V. Le, B. S. P. Lin, and L. P. Tung, “SDN/NFV - A new approach of deploying network infrastructure for IoT,” 2018 27th Wirel. Opt. Commun. Conf. WOCC 2018, Hualien, Taiwan, May, 2018, International Conference.
  5. L.-V. Le, D. Sinh, B.-S. P. Lin, and L.-P. Tung, “Applying Big Data, Machine Learning, and SDN/NFV to 5G Traffic Clustering, Forecasting, and Management,” 2018 4th IEEE Conf. Netw. Softwarization Work., vol. 870, no. NetSoft, Montreal, Canada, Jun, 2018, International Conference.
  6. S. Do, L. V. Le, B. S. Paul Lin, and L.-P. Tung, “SDN/NFV Based Internet of Things for Multi-Tenant Networks,” Trans. Networks Commun., vol. 6, no. 6, 2018, International Journal.
  7. L. Vy Le, S. Do, B.-S. Paul Lin, and L.-P. Tung, “Big Data and Machine Learning Driven Open5GMEC for Vehicular Communications,” Trans. Networks Commun., vol. 6, no. 5, 2018, International Journal.
  8. L.-V. Le, B.-S. Lin, and S. Do, “Applying Big Data, Machine Learning, and SDN/NFV for 5G Early-Stage Traffic Classification and Network QoS Control,” Trans. Networks Commun., vol. 6, no. 2, 2018, International Journal.
  9. L. V. Le, B.-S. Lin, L.-P. Tung, and S. Do, “Enhanced Handover Clustering and Forecasting Models Based on Machine Learning and Big Data,” Trans. Mach. Learn. Artif. Intell., vol. 6, no. 5, 2018, International Journal.
  10. L. V. Le, B. S. P. Lin, L. P. Tung, and D. Sinh, “SDN/NFV, Machine Learning, and Big Data Driven Network Slicing for 5G,” IEEE 5G World Forum, 5GWF 2018 - Conf. Proc., Santa Clara, CA, USA, July 2018, International Conference.
  11. D. Sinh, L. Le, L. Tung, and B. P. Lin, “The Challenges of Applying SDN / NFV for 5G & IoT,” 14th IEEE - VTS Asia Pacific Wirel. Commun. Symp. (APWCS), Incheon, Korea, Sep 2017, International Conference.
  12. A Technical Solution of Meta-Learning for Distributed Data mining. Dong A Science and Education Review (Publisher: Information and Communication. Hanoi, 2012), National Journal.
  13. Training status of E-commerce in Vietnam, Solution of Dong A University. Dong A Science and Education Review #6 (Publisher: Information and Communication. Hanoi, 2011), National Journal.
  14. Research a Technical Solution of a Meta-Learning Application for a Distributed E-Commerce System (Lê Văn Sơn, Đỗ Sính). National Conference About ICT.rda’06 (Publisher: Science and Technology, Hanoi, 2006).