in Construction Management
Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. One of our goals is to turn your data into a useful tool. When your data and experience merges with our AI tools, a rapid improvement is inevitable.
We apply AI into various fields including Safety, Quality, Cost, Schedule, Optimization, Contract Management and Energy Prediction. Our tools consist of widely adopted data analysis software and database management systems, as well as custom-made data prediction models. We use specific AI techniques such as ANN, deep learning, etc.
The research group was established to solve problems faced in various industries including construction, energy, oil and gas, and other areas requiring improvement and innovation. Our team consists of well-educated graduate students and highly experienced faculty members of Middle East Technical University
Ayhan, B. U., and Tokdemir, O. B. (2019). “Predicting the outcome of construction incidents.” Safety Science.
Tokdemir, O. B., and Ayhan, B. U. (2019). “Keskin Bir Cisim ile Temas Sonucu Yaralanma Kazalarının Analitik Hiyerarşi Prosesi ve Yapay Sinir Ağları ile Analizi.” DÜMF Mühendislik Dergisi, 10(1), 323–334. https://doi.org/10.24012/dumf.466493
Ayhan, B. U., and Tokdemir, O. B. (2019). “Safety assessment in megaprojects using artificial intelligence.” Safety Science. https://doi.org/10.1016/j.ssci.2019.05.027
Ayhan, B. U., and Tokdemir, O. B. (2019). "Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks." Journal of Construction Engineering and Management https://doi.org/10.1061/(ASCE)CO.1943-7862.0001762