On 22 June, ISSAI data scientist Aknur Karabay presented a research paper entitled “Carbon Footprint Optimized Design of Sustainable Reinforced Concrete Columns Using Deep Learning” by Aknur Karabay, Raushan Utemuratova, Dichuan Zhang, Huseyin Atakan Varol at the Fourth European and Mediterranean Structural Engineering and Construction Conference (EURO-MED-SEC-4).

EURO-MED-SEC is organized annually by the International Structural Engineering and Construction Society (ISEC). EURO-MED-SEC-4 has been ISEC Society’s most successful EURO-MED conference to date, with 128 papers published. 

This year’s conference theme was State-of-the-art Materials and Techniques in Structural Engineering and Construction. The conference was held in a hybrid format, both virtually and on-site. Keynote speakers at EURO-MED-SEC-4 included Dr. Giovanni A. Plizzari, Professor of Structural Engineering, University of Brescia, Brescia, Italy and Dr.-Ing. habil. Michael Kaliske, Univ.-Prof. Dr.-Ing. habil. Michael Kaliske, Technical University of Dresden, Dresden, Germany.

The paper is published in the Proceedings of International Structural Engineering and Construction. In addition, there is a GitHub link of the paper.