CURRICULUM VITAE

DR. MUHAMMAD SHAHREEZA SAFIRUZ BIN KASSIM

PhD
'If you could have as many data from the universe, what is the one question that you would ask?'Dr Muhammad Shahreeza is currently the Head of Department, Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya since April 2025. Concurrently he also oversees the planning, administration, deployment, and operation of AI programs offered at Yunnan-Malaya Institute, Yunnnan University, China. Dr Shahreeza received B.Eng. degree in Electrical, Electronics and Information Engineering from Nagaoka University of Technology, Japan, in 2007, and M.Sc. degree in Artificial intelligence and Ph.D. degree in computer science from the University of Southampton, Southampton, U.K., in 2013 and 2019, respectively. His core research focus is biophysics modeling, he also explores various neural network architectures. His interest includes applying probabilistic methods and ideas from machine learning to biological models to derive insights into the underlying design principles. The AI department is expanding at an incredible speed, as the AI field is getting a lot of attention in this decade. Hence we welcome those interested to join the department by submitting your applications to https://career.um.edu.my/  
PROFILE
Address
Department of Artificial Intelligence, Faculty of Computer Science and Information Technology Office of The, University of Malaya, 50603 Kuala Lumpur, Malaysia
Website
umexpert.um.edu.my/shahreeza
CONTACT
Telephone
0379672507
Email
shahreeza
RESEARCH ID
QR Code
Orcid id
https://orcid.org/0000-0003-1271-7888
Researcher id
AEG-1028-2022
Scopus id
57295299100
ACADEMIC QUALIFICATION
Doctoral Degree (phd), , Southampton University, UK, 2019
Master Degree, Science, Southampton University, UK, 2013
Bachelor Degree, Engineering, The Technological University of Nagaoka, 2007
PROFESSIONAL MEMBERSHIP/ FELLOWSHIP
WORKING EXPERIENCE
RESEARCH ACHIEVEMENT
Research Areas
H Index: -
Total Journal Publication: 10
Sum of Citation: -
Proceedings: 0
Research Grants: More than RM Three hundred and seventy eight thousand five hundred and eighty three