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Faculty of Civil Engineering

Universiti Teknologi Malaysia
81310 Johor Bahru
Johor, MALAYSIA
Tel: (+607)-553-1581
Email: fka@utm.my

Faculty of Civil Engineering, UTM

STAFF DIRECTORY

Within the Faculty of Civil Engineering, our department stands as a beacon of knowledge and innovation. With a commitment to shaping the world we live in, we delve into the intricate realms of geotechnics, transportation, structures, and materials. Our passionate faculty and dedicated researchers explore the dynamic interactions between these fundamental elements of civil engineering, seeking solutions that not only withstand the test of time but also pave the way for a sustainable future.

  Fullname Position Expertise
Dr. Nur Hafizah Binti Abd Khalid None
  • Concrete Technology
  • Environmental Friendly Construction Materials
  • Composites And Biocomposites
Dr. Nor Hasanah Binti Abdul Shukor Lim Head of Construction Materials Research Group (CMRG)
  • Concrete Technology
  • Sustainable Construction
  • Green Building Materials
Dr. Ain Naadia Binti Mazlan Manager (Partnership) UTM International
  • Construction Management
  • Human Comfort
  • Value Engineering
Mr. Abdul Rahim Bin Abdul Hamid None
  • Construction Management
  • OHS In Construction
  • Planning And Scheduling
Ts. Dr. Mohd Zamri Bin Ramli FKA Structure Lab Coordinator
  • Structural Engineering
  • Earthquake Engineering
  • Earthquake Seismology
  • Structure Laboratory Testing
  • Structure Dynamic
  • Tall Building
  • Building Information Modelling (BIM)
  • Autodesk Certified, Information System
Ts. Baharin Bin Mesir None
  • Building Information Modelling
  • Construction IT
  • Information System and Database management
Dr. Faridahanim Binti Ahmad None
  • System Analysis
  • Full Stack Developer
  • IOT
Ir. Wan Ikram Wajdee bin Wan Ahmad Kamal None
Dr. Nur Izieadiana Binti Abidin None
  • Construction Management
  • Building Sustainability And Energy Efficiency
  • Safety In Construction
Dr. Khairul Hazman Bin Padil None
  • Structural Health Monitoring
  • Vibration Based Damage Detection
  • Artificial Neural Network