Personal profile
Research interests
I am an atmospheric scientist and assistant professor at the Department of Environmental Science, Open Universiteit (NL). My research aims to better understand the sources, the concentrations, and the effects of air pollution by synergistic use of satellite observations and modelling tools. I am particularly interested in the synergistic use of various information sources and AI techniques to generate new understanding. I spent the past decades applying my skills to evaluate the impact of human activities on air pollution and its adverse effect on climate, health.
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Collaborations and top research areas from the last five years
Research output
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Bridging the Gap in Emission Reporting: Synergistic Use of AI and Earth Observation for Real-Time Insight on Urban CO₂ Emissions
Curier, R. L., Ham, S., Stoorvogel, J. J. & Bromuri, S., 2 May 2025.Research output: Contribution to conference › Conference Paper until 1 July 2025 › Academic
Open Access -
Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
Dooney, T., Narola, H., Bromuri, S., Curier, R. L., van den Broeck, C., Caudill, S. & Tan, D. S., 13 Aug 2025, In: Physical Review D. 112, 4, 24 p., 044022.Research output: Contribution to journal › Article › Academic › peer-review
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One flexible model for multiclass gravitational wave signal and glitch generation
Dooney, T., Curier, R. L., Tan, D. S., Lopez, M., Van Den Broeck, C. & Bromuri, S., 15 Jul 2024, In: Physical Review D. 110, 2, 19 p., 022004.Research output: Contribution to journal › Article › Academic › peer-review
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Simulation-based Optimization of User Interfaces for Quality-assuring Machine Learning Model Predictions
Zhang, Y., Tennekes, M., de Jong, T., Curier, L., Coecke, B. & Chen, M., 9 Jan 2024, In: Transactions on Interactive Intelligent Systems. 14, 1, 32 p., 1.Research output: Contribution to journal › Article › Academic › peer-review
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DVGAN: Stabilize Wasserstein GAN training for time-domain Gravitational Wave physics
Dooney, T., Bromuri, S. & Curier, L., 2022, Proceedings: 2022 IEEE International Conference on Big Data, Big Data 2022. Tsumoto, S., Ohsawa, Y., Chen, L., Van den Poel, D., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A. & Raghavan, V. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 5468-5477 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Article in proceeding › Academic › peer-review