Dr. Benny Raphael

Dr. Benny Raphael
Phone: +91-44-22574310
Email: benny@iitm.ac.in

IITM Scholar profile page

  • 1992-1995  PhD, Civil Eng., Univ. of Strathclyde, Glasgow, UK
  • 1990-1992  MS, Structural Eng., IIT Madras
  • 1986-1990    BTECH, Civil Eng., IIT Madras
Professional Experience
  • 2013-present: Professor, Associate Professor, IIT Madras
  • 2006-2013: Assistant professor, Dept. of building, NUS.
  • 2005: Visiting associate professor, IIT Madras.
  • 1997-2005: Post doctoral fellow, Fonctionnaire scientifique, chargee de cours (Lecturer), EPFL, Switzerland
  • 1996-1997 Senior Systems Analyst, Infosys Technologies, Bangalore
Research Interests


  • Optimisation
  • Machine learning
  • Computer aided engineering
  • BIM
  • Building automation and control
  • Sustainable and Green Buildings


Research & Consultancy


  • Automated assembly of modular building structures, Funded by DST, 2016-present.
  • 3D Printing and Construction Automation for Affordable Housing, Funded by DST IMPRINT, 2019-present.
  • Condition assessment of railway bridges, 2019-present.
  • Solar Protection for Residences and Public Spaces, 2019-present.
  • Building Automation Laboratory at IIT Madras, 2013-2015.
  • Performance evaluation of day lighting devices, Funded by CEFIPRA and SGRI, 2013-2015.
  • BCA Zero Energy Building, 2007. Collaborator in the research project that involved the construction of a zero energy building at the BCA Academy, Singapore.
  • Future Cities Laboratory in collaboration with ETH Zurich and EPFL, Switzerland.
  • Integrated Control of Indoor Environment Quality, NUS Research Project, 2006-2010. Developed a methodology for the control of indoor environment using multi-objective optimization of several performance criteria.


Student Guidance

Current research students

  • Archana A.P. (PHD)
  • Aparna Harichandran (PHD)
  • Sundararaman S (PHD)
  • Amit Prakash (MS)

Courses teaching at IIT Madras

  • CAD in Civil Engineering
  • Smart Buildings and Automation
  • Construction Software Lab
  • Building Services Lab
  • Machine learning in Civil Engineering