CV Information
TS. DR. SYAZWAN AIZAT BIN ISMAIL
EXPERT IN

APPLIED SCIENCE AND TECHNOLOGY

NATIONAL POISON CENTRE
Main Campus
UNIVERSITI SAINS MALAYSIA (USM)
Starting Date in USM: 30 December 2024
drsai@usm.my
+6(04) 653 (Ext) 2081
https://experts.usm.my/cvitae/drsai
  • IJAZAH SARJANA MUDA, PERSEKITARAN DAN LESTARI
    UNIVERSITI PUTRA MALAYSIA (UPM) (MALAYSIA)
  • MSc, OCCUPATIONAL HEALTH & SAFETY
    UNIVERSITI PUTRA MALAYSIA (UPM) (MALAYSIA)
  • PhD, KEJURUTERAAN MEKANIK
    UNIVERSITI TEKNOLOGI MALAYSIA (UTM) (MALAYSIA)
BIOGRAPHY
Passion for technology and AI, my professional experience varies from exposure science, environmental & occupational hygiene, and toxicant of indoor air quality. Previously work in MOH and industrial hygiene consultant. Proficient in computer programming, embedded systems, IoT for health/environmental monitoring, biostatistics, and spatial epidemiology. Let's connect: https://linktr.ee/ismailsa
RESEARCH INTERESTS
I'm driven to create safer, healthier work environments including house/ home and public spaces. My research integrates intelligent exposure monitoring of pollutants and their impact to human health. I am interested in cutting-edge technology for health risk assessment using machine learning, artificial intelligent and IoT. I have interest in data analytics, computer programming and applied electronics technology for solving environmental problem
Scopus ID
35424575400
Researcher ID
K-5287-2013
ORCID
0000-0002-3808-1649
Google Scholar ID
sRe2O2EAAAAJ&hl
EXPERTISE
  1. MEDICAL AND HEALTH SCIENCES >> Specialist Topics in Community and Public Healthcare System > Occupational and Environmental Health and Medicine
  2. EARTH SCIENCES >> Environmental Assessment and Management > Sensor in Environmental Monitoring
  3. APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Predictive Analytics in Machine Learning
  4. APPLIED SCIENCE AND TECHNOLOGY >> Artificial Intelligence and Machine Learning > Neural network for Machine Learning
  5. APPLIED SCIENCE AND TECHNOLOGY >> Bioinformatics Tools, Platforms and Technologies > Machine Learning and Intelligent Systems for Bioinformatics
SDG (Research Grants)
Expertise Indicator:
  • Excellent
  • Good
  • Average