In association with the
International Association of Automation and Robotics in Construction, IIT Madras is organizing a machine learning workshop on construction automation. The workshop will cover the basics of promising machine learning
algorithms with applications to building and construction
automation. Practical civil engineering examples will be used for
illustration. Numerical exercises involving the use of simple
software tools will be used for understanding the concepts better.
There will be also be discussion sessions for bringing out potential
applications in civil engineering.
Note: Meeting details have been sent to the registered users at the registered email id. Please check your spam folders.
Objective
Introduce fundamentals of machine learning techniques
and develop skills to select the right techniques to solve civil
engineering automation problems.
The online event is planned from June 4 -- 8, 2021 and is open to everyone.
Who should attend?
- Civil engineering, architecture and construction management students aiming to pursue research in construction automation
- Practicing engineers in construction and design firms who wish to get introduced to machine learning
Topics
- Introduction to machine learning
- An overview of learning tasks and algorithms
- Classification
- Regression
- Support Vector Machines
- Artificial Neural Networks
- Case studies in construction automation
| | |
What do I get from the workshop?
- Understanding of the fundamental principles of machine learning algorithms
- Pointers to tools and techniques for practical use
- General idea about where machine learning can be used in construction automation and robotics
- Possible research topics for further exploration
After successful completion of the workshop, a certificate will be awarded to each participant.
There will be an award for the best participant who makes the most active contribution to the workshop.
|
Speakers
Organization
Coordinator: Dr. Benny Raphael, Professor, Dept. of Civil Engineering, IIT Madras
Organised by: IAARC Workshops and Summer Schools Committee and IAARC Students Chapter at IIT Madras