CV Information
TS. DR. SYAMIMI BINTI SHAMSUDDIN
EXPERT IN

ENGINEERING AND TECHNOLOGY

ADVANCED MEDICAL & DENTAL INSTITUTE
Main Campus
UNIVERSITI SAINS MALAYSIA (USM)
Starting Date in USM: 03 July 2023
syamimi.s@usm.my
+6(04) 653 (Ext) 2024
https://experts.usm.my/cvitae/syamimi.s
  • IJAZAH SARJANA MUDA (KEPUJIAN), KEJURUTERAAN PEMBUATAN
    UNIVERSITI KEBANGSAAN MALAYSIA (MALAYSIA)
  • MASTER OF SCIENCE, MECHATRONIC
    LOUGHBOROUGH UNIVERSITY, UNITED KINGDOM (BRITAIN)
  • PhD, KEJURUTERAAN MEKANIKAL
    UNIVERSITI TEKNOLOGI MARA (UITM) (MALAYSIA)
BIOGRAPHY
After receiving her B. Eng. in Manufacturing Engineering from Universiti Kebangsaan Malaysia in 2004, she has gained more than 13 years of experience in research and teaching, primarily focusing on robotics and automation technology. Her research expertise are rehabilitation robotics, and human-robot interaction (HRI). She also has four years of experience at Dept. of Higher Education where she managed Dana Penyelidikan Fundamemental for MOHE.
RESEARCH INTERESTS
Ts. Dr. Syamimi's research focuses on the design, development, and evaluation of human-robot interaction (HRI) technologies for healthcare. This includes rehabilitation robotics, socially assistive robots, and intelligent service robots for ageing are. She is currently volunteering as Executive Committee for the Malaysia Robotics and Automation Society (MyRAS) and Malaysia Association of Research Managers and Administrators (MyRMA).
Scopus ID
55232286300
Researcher ID
rid62103
ORCID
0000-0001-6681-0207
Google Scholar ID
EpWqrVUAAAAJ
EXPERTISE
  1. ENGINEERING AND TECHNOLOGY >> Mechanical Engineering > Mechanical Control
  2. ENGINEERING AND TECHNOLOGY >> Electrical and Electronic Engineering > Robotics and Mechatronics
  3. ENGINEERING AND TECHNOLOGY >> Industrial and Manufacturing Engineering > Ergonomic
  4. MEDICAL AND HEALTH SCIENCES >> Health Care System > Health Rehabilitation Service
  5. MEDICAL AND HEALTH SCIENCES >> Medical Device, Equipment and System > Robotic Systems
SDG (Research Grants)
Expertise Indicator:
  • Excellent
  • Good
  • Average