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Shaofang Gong

Professor

Professor in Communication Electronics

Research

My research interest has been radio frequency electronics for wireless systems including wireless high speed data transmission, wireless sensor networks with low power consumption, Internet of Things for digitalization, and methodology for digitalization solutions.

Communication Electronics

We develop modular solutions with low power consumption for wireless sensor networks, wireless data transmission with focus on high data rate / low cost, and antenna and radio frequency design for broadband and multi-band communication systems.

Research projects

Smart city – wireless sensor networks and cloud services

With the aid of the Internet of Things technology it is possible to measure, regulate and even send alerts for monitoring of carbon dioxide levels, particulates, temperature, humidity, levels of volatile organic compounds, vibrations in a bridge...

Wireless sensor network with green wall to improve indoor climate

We use our developed wireless sensor network to monitor and control green walls with different kinds of plants in one of our laboratories, to measure, e.g. CO2 and particular levels.

Remote monitoring and control in cultural and historical buildings

Our research on wireless sensor networks and Internet of Things have resulted in several applications including remote monitoring and control in cultural and historical buildings

Teaching

I have given courses to both postgraduate and undergraduate students, such as Radio Frequency Electronics, Radio Frequency System Design, Microwave Engineering and Principles of Internet of Things.

Publications

2025

Zhongjun Ni, Jelrik Hupkes, Petra Eriksson, Gustaf Leijonhufvud, Magnus Karlsson, Shaofang Gong (2025) Parametric Digital Twins for Preserving Historic Buildings: A Case Study at Löfstad Castle in Östergötland, Sweden IEEE Access, Vol. 13, p. 3371-3389 (Article in journal) Continue to DOI

2024

Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong (2024) Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS) (Conference paper) Continue to DOI
Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong (2024) A study of deep learning-based multi-horizon building energy forecasting Energy and Buildings, Vol. 303, Article 113810 (Article in journal) Continue to DOI

2023

Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong (2023) Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) (Conference paper) Continue to DOI

2022

Zhongjun Ni, Yu Liu, Magnus Karlsson, Shaofang Gong (2022) Link Historic Buildings to Cloud with Internet of Things and Digital Twins The 4th International Conference on Energy Efficiency in Historic Buildings, Benediktbeuern, Germany, May 4-5, 2022, p. 229-235 (Conference paper)

Organisation

Closeup of a pipette dripping a clear fluid on to a microscope

Physics, Electronics and Mathematics

We conduct research and research education in communication electronics, mathematics, engineering didactics, physical electronics and nanotechnology.
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Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.

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