ÂÜÀòÂÒÂ×

Moein Parsinia, Ph.D. has a diverse work experience in the field of research and engineering. From 2014 to present, they worked as a Senior Research Associate and PhD candidate at San Diego State University, where they focused on developing QoS-aware, cross-Layer medium access, and routing protocols for decentralized multi-beam mesh networks. As a team leader, they supervised a team of six research assistants and contributed to cutting-edge future technology innovations. Moein'snotable achievement includes designing and implementing a novel bipartite graph coloring scheme for frequency division duplex (FDD) nodes in a decentralized multihop network.

In 2018, Moein worked as an R&D Engineer Intern at Olympus Corporation of the Americas, where they conducted research and development for a large-scale, industrial wireless sensor network (WSN). Moein was responsible for developing wireless solutions for the WSN project.

Prior to that, from 2013 to 2014, Moein worked as a VAS BO Engineer at Huawei Technologies.

Moein Parsinia, Ph.D. has a diverse education history in the field of engineering and computational science. From 2004 to 2009, they obtained a Bachelor's degree in Software Engineering from Islamic Azad University. Following this, they pursued a Master's degree in Computer System Architecture from Iran University of Science and Technology between 2010 and 2013. Moein then went on to complete two Doctor of Philosophy (Ph.D.) programs concurrently. From 2014 to 2019, they attended San Diego State University and earned a Ph.D. in Electrical Engineering with a focus on Wireless Networks. Simultaneously, they also pursued a Ph.D. in Computational Science at Claremont Graduate University, specializing in this field until 2019.