Cheng Yang

I am a PhD student at the Division of Information Science and Engineering (ISE) since June 2022, under the supervision of Prof. Tobias Oechtering and Prof. Saikat Chatterjee. I received my master's degree in Information and Network Engineering in 2021 from KTH, Sweden (thesis: Data-driven Dynamic Baseline Calibration Method for Gas Sensors, patent), and my bachelor's degree in Electronic Information Engineering in 2019 from Zhejiang University, China.

Research

My current research focus on gas sensor calibration and sensor fusion. In particular, I am deeply interested inunderstanding why and how sensors drift, as well as developingsmart calibration algorithms using statistical tools.

Recent papers:

• C. Yang and T. J. Oechtering, "Dynamic Baseline Calibration of Low-cost CO2 Sensors via Spatio-temporal Fusion," Presented on 2026 International Conference on Information Fusion, Trondheim, Norway, 2026
• C. Yang, G. Bohlin and T. J. Oechtering, "Stochastic Drift Modeling for NDIR Gas Sensors: Separating Environmental Effects and Instrumental Drift," inIEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 1-15, 2026, Art no. 1003315, doi: 10.1109/TIM.2026.3682797.
• C. Yang and T. J. Oechtering, "Mean-Reverting Stochastic Modeling of Instrumental Drift in NDIR CO2 Sensors,"2025 IEEE SENSORS, Vancouver, BC, Canada, 2025, pp. 1-4，
• C. Yang, S. Chatterjee and T. J. Oechtering, "Enhancing Network Calibration for Low-Cost Gas Sensor Networks Through Adaptive Similarity Search,"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, 2025, pp. 1-5,

Teaching

Beyond my own research, I am actively involved in teaching and student supevision. I enjoy helping students develop rigorous theoretical understanding as well as and the confidence to tackle open-ended engineering problems.  I serve as the teaching assistant for EQ1220 Signal Theory, which covers stochastic process and its applications in estimation, filtering, signal sampling and reconstruction, etc.

I also supervise groups of students in the project course EQ2443 Project in Information Engineering. The topics in 2022 and 2023 were gas sensor network calibration and sensor fusion.

Master thesis projects that I have supervised:

Ci Song, thesis: Predictive Maintenance for Air-Conditioning Refrigeration and Heat Pump Systems: Data-driven Condition Monitoring and Fault Detection for Compressors

Jike Li, thesis: CO2 Sensor: Outlier Detection, Calibration and Prediction