I first came across the Kalman filter during my undergraduate studies when I took the navigation systems class. It was the last lecture, and the professor said it is out of the course syllabus, but if someone will deal with real-time applications, he is expected to meet it again. He was right, and I kept studying for a master's degree in the field of Guidance, Control, and Navigation (GCN) at the Aerospace Engineering Faculty of the Technion. I came across the Kalman filter again, where I used it to filter noisy measurements from various sensors during real-time navigation problems. Later on, I used different Kalman filter extensions while exploring solutions for real-life problems, such as Extended Kalman Filter, Iterated EKF, etc. Today, I am pursuing my Ph.D. degree at the University of Haifa, and I use the Kalman filter aside from machine learning to solve challenging navigation problems.