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CV Information
PROFESOR MADYA DR. SURAIYATI BINTI RAHMAN
EXPERT IN

APPLIED SCIENCE AND TECHNOLOGY

SCHOOL OF HOUSING, BUILDING & PLANNING
Main Campus
UNIVERSITI SAINS MALAYSIA (USM)
Starting Date in USM: 26 July 2013
suraiyati@usm.my
+6(04) 653 (Ext) 2810
https://experts.usm.my/cvitae/suraiyati
  • B Sc HBP (HONS), PERANCANGAN BANDAR & WILAYAH
    UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
  • MASTER OF SCIENCE, PERANCANGAN
    UNIVERSITI SAINS MALAYSIA (USM) (MALAYSIA)
  • PhD, PERANCANGAN BANDAR & WILAYAH
    UNIVERSITY OF BIRMINGHAM, UNITED KINGDOM (BRITAIN)
BIOGRAPHY
Suraiyati binti Rahman is an academician at the School of Housing, Building and Planning, USM, with expertise in heritage tourism, sustainable planning, and food security governance. She has led funded research projects, published academic work, and received awards for teaching innovation. A certified MyCREST facilitator, she previously chaired the Urban and Regional Planning programme and serves on MIP’s Research and Education Committee.
RESEARCH INTERESTS
Sustainable tourism, heritage tourism management, tourism management, tourism carrying capacity, resilience and food security, and impact of STRA—focusing on inclusive planning and governance mechanisms to strengthen community resilience and safeguard cultural and natural heritage in urban and rural contexts.
Scopus ID
55887933500
Researcher ID
C-5989-2015
ORCID
0000-0003-0299-7222
Google Scholar ID
hnVPtf4AAAAJ
EXPERTISE
  1. APPLIED SCIENCE AND TECHNOLOGY >> Specialist Topics in Urban and Regional Planning > Urban Economics
  2. APPLIED SCIENCE AND TECHNOLOGY >> Specialist Topics in Urban and Regional Planning > Urban and Rural Well-Being
  3. APPLIED SOCIAL SCIENCE AND HUMANITIES >> Tourism Studies > Tourism Management
  4. APPLIED SOCIAL SCIENCE AND HUMANITIES >> Specialist Topics in Tourism and Hospitality > Social Cultural Issues in Tourism and Hospitality
  5. ADVANCEMENT OF KNOWLEDGE AND LEARNING >> Foresighting and Prospecting studies > Foresighting and Prospecting studies
SDG (Research Grants)
Expertise Indicator:
  • Excellent
  • Good
  • Average