Jingjun Li
About Jingjun Li
Jingjun Li is an RF Engineer at TELUS with extensive experience in wireless telecommunications, including roles at WIND Mobile, Dyaptive Systems Inc, and the University of British Columbia.
Current Role at TELUS
Jingjun Li currently holds the position of RF Engineer at TELUS. In this role, he focuses on the design, implementation, and optimization of radio frequency systems. He applies his extensive expertise in cellular systems, including frequency allocation, spectrum efficiency, and spread spectrum systems, to enhance the performance and reliability of TELUS's wireless communication networks.
Past Experience at WIND Mobile
From 2009 to 2011, Jingjun Li worked as an RF Optimization Specialist at WIND Mobile. During his tenure, he was responsible for optimizing the performance of WIND Mobile's wireless networks. His work involved utilizing advanced algorithms such as greedy algorithms, simulated annealing, and genetic algorithms to improve network efficiency and performance.
QA Engineer at Dyaptive Systems Inc
Between 2008 and 2009, Jingjun Li served as a QA Engineer at Dyaptive Systems Inc. There, he was involved in designing and implementing performance testing for 3G/UMTS wireless systems. This role allowed him to apply his technical skills in quality assurance to ensure the reliability and robustness of telecommunication systems.
Research and Teaching Assistant at University of British Columbia
From 2005 to 2007, Jingjun Li was a Research and Teaching Assistant at the University of British Columbia. At this institution, he furthered his academic pursuit in Wireless Telecommunications and Digital Signal Processing while earning his MASc. His duties included conducting research, assisting in teaching activities, and contributing to academic publications.
Educational Background and Expertise
Jingjun Li earned his MASc from the University of British Columbia, specializing in Wireless Telecommunications and Digital Signal Processing. His educational background includes in-depth knowledge of coding for noisy channels using techniques like linear block codes and convolutional codes. Additionally, he is skilled in the use of adaptive filters for narrow-band noise suppression and in the detection and estimation of signals in noise within cellular networks. His expertise extends to managing radio and network operations, including mobility and location management.