CV Information
DR. HAZRINA BINTI YUSOF HAMDANI
EXPERT IN

APPLIED SCIENCE AND TECHNOLOGY

SCHOOL OF COMPUTER SCIENCES
Main Campus
UNIVERSITI SAINS MALAYSIA (USM)
Starting Date in USM: 18 September 2017
hazrina@usm.my
+6(04) 653 (Ext) 3618
https://experts.usm.my/cvitae/hazrina
  • IJAZAH SARJANA MUDA TEKNOLOGI (KEPUJIAN), TEKNOLOGI MAKLUMAT
    UNIVERSITI TEKNOLOGI PETRONAS (UTP) (MALAYSIA)
  • MASTER, SAINS KOMPUTER
    UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
  • PhD, BIOINFORMATICS
    UNIVERSITI KEBANGSAAN MALAYSIA (MALAYSIA)
RESEARCH INTERESTS
I specialize in computational biology and bioinformatics, utilizing computer science to solve biological issues. I've applied graph theory to identify 3D RNA motifs and developed tools like NASSAM, COGNAC, and the InterRNA database. Integrating machine learning into my work, I focus on RNA virus analysis and DNA aptamer development. Additionally, I'm captivated by health informatics, particularly in hospital medical systems and big data analysis.
Scopus ID
56513850100
Researcher ID
B-2645-2018
ORCID
0000-0003-3973-9921
Google Scholar ID
ZvLUc4QAAAAJ
EXPERTISE
  1. FORMAL SCIENCES >> Computation Theory and Mathematics > Sequential and Parallel Algorithms
  2. FORMAL SCIENCES >> Operational Research > Applied Graph Theory
  3. MEDICAL AND HEALTH SCIENCES >> Specialist Topics in Community and Public Healthcare System > Health Informatics
  4. APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Predictive Analytics in Machine Learning
  5. APPLIED SCIENCE AND TECHNOLOGY >> Web Technology > Web Services
  6. APPLIED SCIENCE AND TECHNOLOGY >> Structural Bioinformatics > Computational Biomolecular Structure and Function
  7. APPLIED SCIENCE AND TECHNOLOGY >> Bioinformatics Tools, Platforms and Technologies > Machine Learning and Intelligent Systems for Bioinformatics
  8. APPLIED SCIENCE AND TECHNOLOGY >> Bioinformatics Tools, Platforms and Technologies > Data Mining for Bioinformatics
  9. APPLIED SCIENCE AND TECHNOLOGY >> Bioinformatics Tools, Platforms and Technologies > Database and Knowledgebase Systems for Bioinformatics
SDG (Research Grants)
Expertise Indicator:
  • Excellent
  • Good
  • Average