Cem Haligur is a Scientific Computing Engineer at Distran, focusing on the enhancement of Leak Detection Algorithms through innovative artificial intelligence and computational techniques. Previously, Cem held various roles in data science, including internships where key projects involved implementing algorithms for lens quality assessment, root cause analysis for ultrasound systems, and developing internal verification algorithms using technologies such as OpenCV, Pandas, and SQL. Cem's academic background includes a Master’s degree in Engineering with a specialization in Applied Maths & Data Science from CY Tech, contributing to projects aimed at predicting NBA player performance and automating data analysis tasks in multiple organizations, including CNRS and DIVAMEO.
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Distran
Distran develops and sells ultrasound cameras able to "see" ultrasounds: each of the 124 ultrasound sensors on the camera perceives incoming sounds with a slight shift of a fraction of a milliseconds. This allows the algorithms inside the camera to compute back the position of the sound source and to display it in real-time to the user. The principle is similar to antenna arrays used by astronomers or the military. Here, the device is hand-held and allows industrials to quickly spot faults such as gas leak in their installation, often comprising hundreds of kilometers of pipes and thousands of potentially leaky elements. Beyond cost savings, this tool enables to increase industrial safety and decrease emission of green house gases.
