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Michael Omar, MSc

Omar2@fe.edu.vn
02473066788 (EXT: 2)
Golden Park Building, 2 Pham Van Bach, Yen Hoa, Cau Giay, Hanoi
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Michael Omar, MSc

Subject Leader, Lecturer

Biography

Having over eight years of teaching experience with a profound ability in computing-related courses, Michael Omar is currently the subject leader for the Computing program’s Professional Practice at University of Greenwich (Vietnam).

Specialized in teaching programs such as Java programming, OO Concept, MIS, PHP, MySQL, Website, Multimedia Design and GIS programs, he has taught Software Engineering Management, Interaction Design, Professional Practice, Networking, Security, Software Development Life Cycle, Managing a Successful Computing Project at the University of Greenwich (Vietnam).

Omar is also a visiting lecturer at Vietnam National University – International School (VNU – IS).

Education

  • PhD student, Information System, Vietnam Academy of Science and Technology, 2021
  • Master of Information and Communication Technology, University of Science and Technology of Hanoi, 2016
  • BSc, Computing, University of Greenwich, United Kingdom, 2013

Publications

  • Scalable Peer-to-Peer Fog Computing Integrated to a Fast-Searching Distributed Blockchain System. DOI: https://doi.org/10.1145/3460179.3460185 ICIIT '21: 2021 6th International Conference on Intelligent Information Technology, Ho Chi Minh, Viet Nam, February 2021
  • The Role of Blockchain Security in the Internet of Things © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 D.-T. Tran et al. (Eds.): ICISN 2021, LNNS 243, pp. 18–26, 2021. https://doi.org/10.1007/978-981-16-2094-2_3
  • The 24th Vietnam Conference of Selected ICT Problems - VNICT2021 A new hybrid semi-supervised kohonen fuzzy c-mean method for flood zone identification from satellite images (awaiting acceptance)
  • A Review Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Now cast Precipitation from Radar Images (Submitted for a conference review)
  • A Review Analysis of Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Now casting. (submitted for a conference review)