Keivan Faghih Niresi

According to our database, Keivan Faghih Niresi authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks.

Keivan Faghih Niresi, Christian Møller Jensen, Carsten Skovmose Kallesøe, Rafael Wisniewski, Olga Fink

CoRR, April, 2026

Time-Vertex machine learning for optimal sensor placement in temporal graph signals: Applications in structural health monitoring.

Keivan Faghih Niresi, Jun Qing, Mengjie Zhao, Olga Fink

Reliab. Eng. Syst. Saf., 2026

From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).

Olga Fink, Vinay Sharma, Ismail Nejjar, Leandro Von Krannichfeldt, Sergei Garmaev, Zepeng Zhang, Amaury Wei, Gaëtan Frusque, Florent Forest, Mengjie Zhao, Chi-Ching Hsu, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Raffael Theiler, Arthur Bizzi, Kevin Steiner

Reliab. Eng. Syst. Saf., 2026

From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).

Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao, Kevin Steiner, Yusuf Kesmen

Reliab. Eng. Syst. Saf., 2026

2025

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion.

Keivan Faghih Niresi, Ismail Nejjar, Olga Fink

IEEE Internet Things J., October, 2025

RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems.

Keivan Faghih Niresi, Zepeng Zhang, Olga Fink

CoRR, October, 2025

From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.

Olga Fink, Ismail Nejjar, Vinay Sharma, Keivan Faghih Niresi, Han Sun, Hao Dong, Chenghao Xu, Amaury Wei, Arthur Bizzi, Raffael Theiler, Yuan Tian, Leandro Von Krannichfeldt, Zhan Ma, Sergei Garmaev, Zepeng Zhang, Mengjie Zhao

CoRR, September, 2025

2024

Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things.

Keivan Faghih Niresi, Hugo Bissig, Henri Baumann, Olga Fink

IEEE Internet Things J., November, 2024

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion.

Keivan Faghih Niresi, Ismail Nejjar, Olga Fink

CoRR, 2024

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation.

Keivan Faghih Niresi, Lucas Kuhn, Gaëtan Frusque, Olga Fink

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network.

Keivan Faghih Niresi, Chong-Yung Chi

IEEE Geosci. Remote. Sens. Lett., 2023

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems.

Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig, Henri Baumann, Olga Fink

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

2022

Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution.

Keivan Faghih Niresi, Chong-Yung Chi

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022