Curriculum Vitae
BIOGRAPHY
'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/
ACADEMIC QUALIFICATION
- PHD(COMPUTER SCIENCE), (SAINS KOMPUTER)Southampton University, UK
- MSc(Artificial Intelligence), (ARTIFICIAL INTELLIGENCE)Southampton University, UK
- BEng(Electrical,Electronics and Information Engineering), (ELECTRICAL,ELECTRONICS AND INFORMATION ENGINEERING)The Technological University of Nagaoka
ADMINISTRATIVE DUTIES
- Head of Department14 Apr 2025 - present (Department of Artificial Intelligence, Faculty of Computer Science and Information Technology)
- Committee member of Think Tank Talent Recruitment18 Nov 2019 - 18 Nov 2022 (Faculty)
- Pensyarah Modul Bagi Program Mobiliti (Inbound)08 Sep 2020 - 07 Sep 2022 (Faculty)
- Ahli Jawatankuasa Special Interest Group (SIG) on COVID-19 ASM-FSKTM10 Aug 2020 - 09 Aug 2021 (Faculty)
- Ahli Jawatankuasa Surau dan Kerohanian FSKTM24 Jun 2020 - 23 Jun 2021 (Faculty)
- Panel Penilai Projek Akademik 1 dan 2, Semester 1 Sesi 2020/202107 Dec 2020 - 01 May 2021 (Faculty)
- Pemeriksa Dalam Bagi Peperiksaan Semester 1 Sesi 2020/202104 Dec 2020 - 31 Jan 2021 (Faculty)
- Committee member of UM Alumni Back to Faculty Program05 Feb 2020 - 02 Sep 2020 (Faculty)
- Committee member of Malaysia AI Consortium: AI for Schools program05 Mar 2020 - 12 Mar 2020 (National)
- Dean's Cup Department Advisor29 Nov 2019 - 28 Feb 2020 (Department of Artificial Intelligence, Faculty of Computer Science and Information Technology)
- Internal Auditor (Teras PT1)24 Oct 2019 - 25 Nov 2019 (Faculty)
AWARD AND STEWARDSHIP
- Certificate of Excellent Service2024, Universiti Malaya
PUBLICATIONS
Article in Journal
-
Kasim, Sazzli; Malek, Sorayya; Cheen, Song; Safiruz, Muhammad Shahreeza; Ahmad, Wan Azman Wan; Ibrahim, Khairul Shafiq; Aziz, Firdaus; Negishi, Kazuaki; Ibrahim, Nurulain (2022). In-hospital risk stratification algorithm of Asian elderly patients, SCIENTIFIC REPORTS. 12(1). doi:10.1038/s41598-022-18839-9
-
Kasim, Sazzli; Malek, Sorayya; Song, Cheen; Ahmad, Wan Azman Wan; Fong, Alan; Ibrahim, Khairul Shafiq; Safiruz, Muhammad Shahreeza; Aziz, Firdaus; Hiew, Jia Hui; Ibrahim, Nurulain (2022). In-hospital mortality risk stratification of Asian ACS patients with artificial intelligence algorithm, PLOS ONE. 17(12). doi:10.1371/journal.pone.0278944
-
Saeed, Talha; Loo, Chu Kiong; Kassim, Muhammad Shahreeza Safiruz (2022). Ensembles of Deep Learning Framework for Stomach Abnormalities Classification, CMC-COMPUTERS MATERIALS & CONTINUA. 70(3), 4357-4372. doi:10.32604/cmc.2022.019076
-
Mahmood, Atif; Kiah, Miss Laiha Mat; Z'aba, Muhammad Reza; Qureshi, Adnan N.; Kassim, Muhammad Shahreeza Safiruz; Hasan, Zati Hakim Azizul; Kakarla, Jagadeesh; Amiri, Iraj Sadegh; Azzuhri, Saaidal Razalli (2020). Capacity and Frequency Optimization of Wireless Backhaul Network Using Traffic Forecasting, IEEE ACCESS. 8, 23264-23276. doi:10.1109/ACCESS.2020.2970224
-
Saeed, T., Loo, C. K., & Kassim, M. S. S. (2022). Ensembles of Deep Learning Framework for Stomach Abnormalities Classification. CMC-COMPUTERS MATERIALS & CONTINUA, 70(3), 4357-4372.
RESEARCH PROJECT
National
- 2021 - 2024, Fundamental Research Grant Scheme (FRGS)New Hybrid Time-Varying Deep Classification Model with Optimized Hyperparameters on Behavioral Malware Analysis and Intrusion System over IP Core Network., Universiti Teknologi Mara (UITM) ( Co-Researcher)
ACADEMIC/ PROF. SERVICES
Evaluation
- Editorial Board Journal of Smart System Research (Sakarya University of Applied Sciences, Turkey), (Editor)
SUPERVISION
Under Graduate Students
- (2019) Prediction of demand and optimizing resources allocation during COVID-19
- (2019) Clustering and prediction of researcher's expertise
Postgraduate Student
-
(2020) Segmentation & Classification of GI Tract Diseases An Intergrated Design of Classical Deep Learning Features, Talha Saeed
-
(2020) Imbalance Classification of Student Performance Incorporating Sampling Methods, Chin Wai Zhen
-
(2019) Parameter Estimation And Analysis Of A Social Amoeba'S Model To Understand Fold Change Detection Property, Fairoze Abu Hassan
TEACHING
Bachelor
- (2020) WIA1004 - Fundamentals of Artificial Intelligence
- (2020) WIX1001 - Computing Mathematics I
- (2020) WIX3001 - Soft Computing
- (2019) WIA1002 - Data Structure
- (2019) WIA2003 - Probability and Statistics
- (2019) WIB1002 - Data Structure