Hadi Rahmat-Khah

Hadi Rahmat-Khah has a diverse range of work experience in various roles and companies. Hadi began their career as a Network Administrator at Kharazmi Computer Center in 2006. From 2007 to 2009, they worked as a Software Engineer with a focus on Robotics at the Intelligence Robotic Research Center (IRRC). In 2008, they joined the Computer Vision and Pattern Recognition (CVPR) Laboratory as a Lead Software Engineer, where they developed and implemented an online License Plate Recognition (LPR) system.

In 2012, Hadi worked as a Software Engineer with a focus on Robotics and RTOS at the Center for Advanced Systems and Technologies (CAST), where they contributed to the Surena III project by implementing the robot's nervous system. Hadi also designed and developed application programming interfaces (APIs) for hardware components and developed multi-threaded software.

In 2014, Hadi joined Kettering University as a Research Assistant, where they worked until 2015. During this time, they also served as a Part-Time Researcher and eventually became a Lecturer. At Michigan State University, they worked as a Visiting Researcher in 2017 and then pursued a PhD in Computer Science from 2018 to 2018.

Currently, Hadi is employed at DarwinAI, where they initially worked as a Senior Platform Developer from 2018 to 2021 and is now serving as a Tech Lead from 2021 onwards.

Hadi Rahmat-Khah holds a Doctor of Philosophy (PhD) degree in Computer Science, which was obtained from Michigan State University in the year 2018. Prior to that, they pursued a Master's degree in Computer Engineering at Kettering University from 2014 to 2015. Hadi'seducation journey began with a Bachelor's degree in Computer Science & Engineering from Shiraz University, which they completed between 2004 and 2009.

Hadi Rahmat-Khah has also obtained several certifications to enhance their skills and knowledge in the field. Hadi completed courses such as "Getting and Cleaning Data," "R Programming," and "The Data Scientist's Toolbox" from Coursera in 2017. In addition, they earned a certification in "Machine Learning" from Stanford University in 2014.