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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.

News

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Next: The smart city

"Give us the problem and we’ll solve it." Professor Shaofang Gong and his research group reported the findings from the “Smart City with the Internet of Things” research project to a well-attended meeting.
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Research goes up the wall

In Täppan Building at Campus Norrköping an unusual but fun research project is being carried out. A wireless network of sensors, developed as part of the Smart City project, is utilized to the wall of plants.

Publications

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)
Zhongjun Ni, Yu Liu, Magnus Karlsson, Shaofang Gong (2022) Enabling Preventive Conservation of Historic Buildings Through Cloud-based Digital Twins: A Case Study in the City Theatre, Norrköping IEEE Access, Vol. 10, p. 90924-90939 (Article in journal) Continue to DOI

Organisation

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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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