DrRanjith Kuttantharappel Soman
Honorary Research Associate
Department of Civil and Environmental Engineering - Faculty of Engineering
Orcid identifier0000-0003-3967-9121 (opens in a new tab)
- Honorary Research AssociateDepartment of Civil and Environmental Engineering - Faculty of Engineering
- 020 7594 5031 (Work)
- 437, Skempton Building, South Kensington Campus, United Kingdom
BIO
Ranjith is an honorary research associate at "Centre for Systems Engineering and Innovation". In addition, Ranjith is a post-doctoral researcher in the Circular Future Cities research module in the Future Cities Lab Global programme and at the Chair of Innovative and Industrial Construction at ETH Zurich.
Trained as a civil engineer, he received his Master’s by research in Building Technology and Construction Management from the Indian Institute of Technology Madras. After his Master’s, he worked as a project assistant in the Building Automation Lab at IIT Madras to coordinate the development of a robotic system for self-assembly of columns and beams. He then moved to the Centre for Systems Engineering and Innovation at Imperial College London, where he did a PhD which focused on knowledge codification, semantic-web technologies, and reinforcement learning to improve construction productivity in an infrastructure context.
During his PhD, he developed a novel Linked-data based Constraint-Checking (LDCC) to identify possible blockers for smooth construction execution by deriving insights and from a large amount of heterogeneous disconnected datasets. He also spent an exchange semester at the Alan Turing Institute to combine LDCC with reinforcement learning to predict and generate conflict-free construction plans for infrastructure projects. After his PhD, he spent a year as a post-doctoral researcher at the same centre to implement and disseminate his research output to the industry through an InnovateUK funded project.
As an academic, Ranjith is passionate about applying semantic web technologies, systems thinking, and artificial intelligence in civil infrastructure and is keen to educate the next generation of infrastructure professionals on the importance of embedding information technology within the scope of the traditional functions of existing core professional service. In addition, he aspires to have an academic career to research and drive innovation for a step-change in infrastructure sustainability.
Trained as a civil engineer, he received his Master’s by research in Building Technology and Construction Management from the Indian Institute of Technology Madras. After his Master’s, he worked as a project assistant in the Building Automation Lab at IIT Madras to coordinate the development of a robotic system for self-assembly of columns and beams. He then moved to the Centre for Systems Engineering and Innovation at Imperial College London, where he did a PhD which focused on knowledge codification, semantic-web technologies, and reinforcement learning to improve construction productivity in an infrastructure context.
During his PhD, he developed a novel Linked-data based Constraint-Checking (LDCC) to identify possible blockers for smooth construction execution by deriving insights and from a large amount of heterogeneous disconnected datasets. He also spent an exchange semester at the Alan Turing Institute to combine LDCC with reinforcement learning to predict and generate conflict-free construction plans for infrastructure projects. After his PhD, he spent a year as a post-doctoral researcher at the same centre to implement and disseminate his research output to the industry through an InnovateUK funded project.
As an academic, Ranjith is passionate about applying semantic web technologies, systems thinking, and artificial intelligence in civil infrastructure and is keen to educate the next generation of infrastructure professionals on the importance of embedding information technology within the scope of the traditional functions of existing core professional service. In addition, he aspires to have an academic career to research and drive innovation for a step-change in infrastructure sustainability.
FACULTY
- Faculty of Engineering
POSITION NAME
- Honorary Research Associate