The machine learning-based detection and warning system project I developed using sound and image processing (low-cost large area early fire detection) was among the top 3 projects in the master’s-doctorate category and received an award.





The machine learning-based detection and warning system project I developed using sound and image processing (low-cost large area early fire detection) was among the top 3 projects in the master’s-doctorate category and received an award.





My patented project titled “Emergency Traffic Situations Warning System for Autonomous Vehicles” has been selected as one of the top 10 projects worth investing in out of 383 national and international projects 👌

Design of “50 kW 1.2 MW Supersonic Diffuser and 900 kW Chiller Hybrid Adaptation System” installation and integration components that I prepared for Roketsan (approved).



Under the sponsorship of FNSS Defence Systems, the concept study of the ” Electromagnetic Weapon Carrier Multi-Purpose Armored Military Vehicle ” was exhibited at IDEF 2019 International Defense Industry Fair.






The “Pre-Paint Surface Modification System for Vehicle Bumpers” study and design, which I prepared for Hyundai Assan, whose preliminary work and tests were carried out.
