Zhongjun Ni

Publications

2025

C. Zhang, J. Sprenger, Zhongjun Ni, C. Berger (2025)

Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights Into Model Transferability IEEE Transactions on Intelligent Vehicles, Vol. 10, p. 4887-4902 (Article in journal)

https://dx.doi.org/10.1109/TIV.2024.3506727

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 (2025)

Data-Driven Smart Maintenance of Historic Buildings (Doctoral thesis, comprehensive summary)

https://dx.doi.org/10.3384/9789181180602

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

Chi Zhang, Janis Sprenger, Zhongjun Ni, Christian Berger (2024)

Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings 2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024, p. 674-681 (Conference paper)

https://dx.doi.org/10.1109/IV55156.2024.10588752

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.