A project prepared by a consortium formed by BMC, BİAS Engineering, and İTÜ, under the leadership of Prof. Dr. Muhammed Kurulay, a faculty member of our Department of Mathematical Engineering, has been awarded support under the TÜBİTAK 1711 - Artificial Intelligence Ecosystem Call.

The project titled "Remote Military Vehicle Test Management and Artificial Intelligence-Supported Predictive Maintenance System," prepared by a consortium led by BMC, was deemed worthy of support according to the results of the TÜBİTAK 1711 - Artificial Intelligence Ecosystem Call 2025. Prof. Dr. Muhammed Kurulay, a faculty member of the İTÜ Department of Mathematical Engineering, is the project leader. The project, with a budget of 5.5 million TL, has a duration of 15 months.

The aim of the project is to manage CAN-Bus and environmental data collected from military vehicles during field operations in real-time via an interface to be developed on a local server, and to perform predictive maintenance by processing and analyzing this data with artificial intelligence algorithms. Traditional test and maintenance methods are mostly based on manual inspection and post-assessment, making them insufficient for preventing instantaneous failures in field conditions. With this project, data obtained from data collection and real-time processing devices (WeLog) developed within Bias will be transferred to the WeCloud platform for monitoring and managing vehicle data. WeLog hardware and software configurations will be configured and used according to the defined objectives. Thanks to the artificial intelligence-supported predictive maintenance module, potential failures in tanks will be predicted in advance, preventing unexpected downtimes, and test processes will be carried out reliably and without interruption.