CURRICULUM VITAE

DR. MUHAMMAD FAIZ BIN MOHD ZAKI

(Cisco Certified Network Associate, Huawei Certified ICT Associate)
Faiz Zaki obtained his Master of Science (Web Science and Big Data Analytics) from the University College of London in 2017 and a PhD in Network Analytics from Universiti Malaya in 2022. He is currently serving as the Director of the Data and Information Management Center and a Senior Lecturer at the Department of Computer Systems and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya. He is also a core member of the Center of Research for Cybersecurity and Network (CSNET). His research interests lie at the intersection between big data analytics and computer networking. As such, most of his works revolve around network analytics, such as network traffic classification. Currently, his research direction is steering towards producing real-time network analytics using technologies like edge computing and federated learning. Faiz Zaki also holds several professional certifications in computer networking, such as CCNA and HCIA, besides being an active member of IEEE Computer Society and Young Professionals.
PROFILE
Address
Department of Computer System & Technology, Faculty of Computer Science and Information Technology Office of The, University of Malaya, 50603 Kuala Lumpur, Malaysia
Website
umexpert.um.edu.my/faizzaki
CONTACT
Telephone
03-79676418
Email
faizzaki
muhammadfaiz.zaki
RESEARCH ID
QR Code
Orcid id
https://orcid.org/0000-0001-7030-4593
Researcher id
N-5589-2017
Scopus id
57214091242
ACADEMIC QUALIFICATION
Doctoral Degree (Phd), , Universiti Malaya (UM), 2022
Master Degree, , University College London, Gower Street London Wc1, 2017
Bachelor Degree, Lain-Lain, Universiti Malaya (UM), 2015
PROFESSIONAL MEMBERSHIP/ FELLOWSHIP
WORKING EXPERIENCE
RESEARCH ACHIEVEMENT
Research Areas
Network Traffic Classification, Network Security, Real-time Network Traffic Classification, Network Analytics
H Index: 4.00
Total Journal Publication: 13
Sum of Citation: 175.00
Books: 0
Proceedings: 1
Research Grants: More than RM Six hundred and thirty thousand four hundred and sixty eight