Collo
Leila Sadeghi is a data scientist currently employed at Colloidtek since September 2022. Prior to this role, Leila served as a research assistant at K. N. Toosi University of Technology from December 2017 to March 2022, focusing on salient/object detection, pattern recognition, computer vision, deep learning, image processing, and data analysis. Experience also includes participation in a robotics team at Kharazmi University from September 2015 to July 2016, as well as serving as a teaching assistant for compiler and structured computer organization courses from September 2014 to July 2015. Leila holds a Master's degree in Computer Engineering with a specialization in Artificial Intelligence from K. N. Toosi University of Technology (2017-2020) and a Bachelor's degree in Computer Science from Kharazmi University (2012-2016).
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Collo
Collo - real-time liquid process optimization Collos Liquid Analyzer Solution provides continuous, real-time monitoring of the contents in production pipes. You can minimize losses, control quality and make processes more efficient. Our solution is capable of detecting any change in liquid using EMF technolgy, machine learning and AI. You can gain a comprehensive view into any liquid, no matter the thickness, color or viscosity. We are focused on helping food, beverage and dairy plants to optimize their processes. Optimized plant consumes less energy and raw materials, generates less waste, while minimizing wastewater – your plant runs greener while you save profits.