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, Magnus Karlsson, Shaofang Gong (2025)

A Study of Federated Deep Learning for Building Indoor Climate Forecasting IEEE Access, Vol. 13, p. 148838-148858 (Article in journal)

https://dx.doi.org/10.1109/access.2025.3601973

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)

https://dx.doi.org/10.1109/access.2024.3525442

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)

https://dx.doi.org/10.1109/WFCS60972.2024.10540966

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)

https://dx.doi.org/10.1016/j.enbuild.2023.113810

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)

https://dx.doi.org/10.1109/ieses53571.2023.10253721

Organisation

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

Physics, Electronics and Mathematics

Research in communication electronics and mathematics, focusing on antennas, IoT, sensors, signal and information processing, as well as mathematics for artificial intelligence with applications in, for example, learning and image processing.

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.