Hossein Sheikhi Darani

Machine Learning Engineer at Sanctuary AI

Hossein Sheikhi Darani has a diverse work experience in various roles and industries. Hossein first gained research experience as a Researcher at ARAS from January 2015 to December 2019. During this time, they likely contributed to various research projects.

In 2018, Sheikhi Darani joined the Center for Infrastructure Sustainability and Resilience Research (INSURER) as a C++/Qt Developer. Hossein'sresponsibilities included code optimization, enhancing process time, and streamlining input file operations.

In 2020, Sheikhi Darani became a Research Assistant at Simon Fraser University's Robotic Algorithms and Motion Planning (RAMP) Laboratory. Here, they modified the ROS2 Navigation Stack for an autonomous warehouse Unmanned Ground Vehicle (UGV) and worked on reinforcement learning-based visual servoing.

Moving forward, in 2021, Sheikhi Darani worked as a Machine Learning Engineer at Robolution Technologies Inc, where they focused on generating synthetic data for 3D object detection and importing 3D object detection from open-mmlab to ROS2.

Currently, as of September 2022, Sheikhi Darani is working as a Machine Learning Engineer at Sanctuary AI. Hossein'srole involves leveraging their expertise in machine learning to contribute to the company's projects.

Hossein Sheikhi Darani's education history begins with their Bachelor's degree in Computer Engineering from K. N. Toosi University of Technology, from 2013 to 2018.

Hossein then pursued further studies at Simon Fraser University, where they obtained a Master of Science (MS) degree in Robotics from 2020 to 2023.

In addition to their formal education, Hossein has also obtained various certifications. In January 2019, they completed the course "Neural Networks and Deep Learning" from Coursera. Following this, in February 2019, they finished the course "Modern Robotics, Course 1: Foundations of Robot Motion" from Coursera as well.

Moving forward, in March 2020, they completed the course "Fundamentals of Reinforcement Learning" and "Sample-based Learning methods," both part of the Coursera-UoA RL Specialization. Hossein later completed the course "Prediction and Control with function approximation" from the same specialization in April 2020.

Lastly, in April 2020, Hossein completed the capstone project "A complete Reinforcement Learning system" from Coursera.

These certifications showcase their dedication to continuously acquiring knowledge and developing their expertise in the field of Robotics and related disciplines.

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