Zhongjun Ni received his licentiate degree from Linköping University, Sweden in 2023, as well as his M.Eng. and B.Eng. degrees from Zhejiang University, China, in 2017 and 2014, respectively. His master's program was to design a wireless measurement and control system specifically for agricultural use.
In 2017, Zhongjun joined Baidu as a software engineer, where he worked as a C++ programmer to develop a robust runtime framework, namely Apollo RT, for autonomous driving. Due to his outstanding performance, he was awarded the Best Newcomer in the entire business group. After the project was successfully delivered, he left Baidu and joined Microsoft to seek new challenges. At Microsoft, he worked to improve the automation rate of Azure datacenter network infrastructure buildout and ensure the reliability of Azure network infrastructure.
In 2020, Zhongjun joined the group of Professor Shaofang Gong at the Department of Science and Technology, Linköping University, for his PhD study, where he investigated digitalization solutions for energy optimization and smart maintenance of historic buildings. He also assisted in teaching undergraduate courses, such as Digital Electronics and Design (TNE094, HT 2022), Micro Computer Systems (TNE097, HT 2022, HT 2024), Signals and Systems (TNG015, VT 2024), and Microwave Engineering (TNE071, HT 2024).
Outside his research, Zhongjun has participated in several programming hackathons, mostly solving NP-hard combinatorial optimization problems. For example, he won first place at the Huawei Sweden Hackathon in 2023 and, together with his team, was granted a cash prize of 6,000 Euros.
In 2017, Zhongjun joined Baidu as a software engineer, where he worked as a C++ programmer to develop a robust runtime framework, namely Apollo RT, for autonomous driving. Due to his outstanding performance, he was awarded the Best Newcomer in the entire business group. After the project was successfully delivered, he left Baidu and joined Microsoft to seek new challenges. At Microsoft, he worked to improve the automation rate of Azure datacenter network infrastructure buildout and ensure the reliability of Azure network infrastructure.
In 2020, Zhongjun joined the group of Professor Shaofang Gong at the Department of Science and Technology, Linköping University, for his PhD study, where he investigated digitalization solutions for energy optimization and smart maintenance of historic buildings. He also assisted in teaching undergraduate courses, such as Digital Electronics and Design (TNE094, HT 2022), Micro Computer Systems (TNE097, HT 2022, HT 2024), Signals and Systems (TNG015, VT 2024), and Microwave Engineering (TNE071, HT 2024).
Outside his research, Zhongjun has participated in several programming hackathons, mostly solving NP-hard combinatorial optimization problems. For example, he won first place at the Huawei Sweden Hackathon in 2023 and, together with his team, was granted a cash prize of 6,000 Euros.
