Keivan Faghih Niresi

15 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
From physics to machine learning and back: Part I - Learning with inductive biases in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
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
2026 J jnl
From physics to machine learning and back: Part II - Learning and observational bias in prognostics and health management (PHM).
Reliab. Eng. Syst. Saf.
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
2026 J jnl
Time-Vertex machine learning for optimal sensor placement in temporal graph signals: Applications in structural health monitoring.
Reliab. Eng. Syst. Saf.
Keivan Faghih Niresi, Jun Qing, Mengjie Zhao, Olga Fink
2025 J jnl
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion.
IEEE Internet Things J.
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink
2025 J jnl
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM.
CoRR
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
2025 J jnl
RINS-T: Robust Implicit Neural Solvers for Time Series Linear Inverse Problems.
CoRR
Keivan Faghih Niresi, Zepeng Zhang, Olga Fink
2025 J jnl
Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring.
CoRR
Keivan Faghih Niresi, Jun Qing, Mengjie Zhao, Olga Fink
2024 J jnl
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion.
CoRR
Keivan Faghih Niresi, Ismail Nejjar, Olga Fink
2024 — conf
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation.
EUSIPCO
Keivan Faghih Niresi, Lucas Kuhn, Gaëtan Frusque, Olga Fink
2024 J jnl
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things.
CoRR
Keivan Faghih Niresi, Hugo Bissig, Henri Baumann, Olga Fink
2024 J jnl
Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things.
IEEE Internet Things J.
Keivan Faghih Niresi, Hugo Bissig, Henri Baumann, Olga Fink
2023 J jnl
Robust Hyperspectral Inpainting via Low-Rank Regularized Untrained Convolutional Neural Network.
IEEE Geosci. Remote. Sens. Lett.
Keivan Faghih Niresi, Chong-Yung Chi
2023 — conf
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems.
SENSORS
Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig, Henri Baumann, Olga Fink
2023 J jnl
Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems.
CoRR
Keivan Faghih Niresi, Mengjie Zhao, Hugo Bissig, Henri Baumann, Olga Fink
2022 J jnl
Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Keivan Faghih Niresi, Chong-Yung Chi