Hai Lin
Professor of Data analysis for environmental modelling
- Name
- Prof.dr.ir. H.X. Lin
- Telephone
- +31 71 527 7460
- h.x.lin@cml.leidenuniv.nl
- ORCID iD
- 0000-0002-1653-4854
Lin obtained his PhD from Delft University of Technology in 1993. After graduation (ir.) in Applied Mathematics at Delft University of Technology.
Professional Experience
Lin obtained his PhD from Delft University of Technology in 1993. After graduation (ir.) in Applied Mathematics at Delft University of Technology. He worked at TNO in Rijswijk from 1986 to 1990. In 1990 he joined the Department of Applied Mathematics of Delft University of Technology. Dr. Lin has many years of research experience in mathematical modelling and high performance computing. In recent years his research interests shifted to parallel numerical algorithms, modelling and simulation of large scale systems. Examples of ongoing research projects include improving the forecast of volcanic ash (cloud) transport with data assimilation, and studying the impact of wind- and solar energy to the stability of electrical power grid.
Present position
Prof.dr.ir. Hai Xiang Lin will share his knowledge in mathematical modelling and high performance computing with other researchers of CML. He will actively cooperate with the Leiden Centre of Data Science (Prof.dr. Jaap van den Herik) and LIACS. Given his main appointment in Delft and having a chair now at CML will strongly support the further development of the Leiden-Delft-Erasmus Centre for Sustainability. Furthermore, he is visiting professor of the University of Chinese Academy of Sciences and Shandong University, and has been collaborating with a number of universities in China for many years.
Professor of Data analysis for environmental modelling
- Science
- Centrum voor Milieuwetenschappen Leiden
- CML/Industriele Ecologie
- Verkaik J., Engelen J. van, Huizer S., Bierkens M.F.P., Lin H.X. & Oude Essink G.H.P. (2021), Distributed memory parallel computing of three-dimensional variable-density groundwater flow and salt transport, Advances in Water Resources 154: 103976.
- Verkaik J., Hughes J.D., Walsum P.E.V. van, Oude Essink G.H.P., Lin H.X. & Bierkens M.F.P. (2021), Distributed memory parallel groundwater modeling for the Netherlands Hydrological Instrument, Environmental Modelling & Software 143: 105092.
- Dias Rodrigues J.F., Yuan R. & Lin H.X. (2019), The expectations of and covariances between carbon footprints, Economic Systems Research 32(2): 192-201.
- Lin H.X., Jin J. & Herik H.J. van den (2019), Air quality forecast through integrated data assimilation and machine learning. In: Rocha A., Steels L. & Herik H.J. van den (Eds.) Proceedings of the 11th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART 2019. no. 2: SCITEPRESS. 787-793.
- Ye L., Lin H.X. & Tukker A. (2019), Future scenarios of variable renewable energies and flexibility requirements for thermal power plants in China, Energy 167: 708-714.
- Ye L., Rodrigues J.F.D. & Lin H.X. (2017), Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016, Applied Energy 203: 495-505.
- Rossum A. van, Lin H.X., Dubbeldam J. & Herik H.J.van den (2016), Nonparametric Bayesian Line Detection - Towards Proper Priors for Robotic Computer Vision. In: Marisco M. de, Baja G.S. di, Fred A. (Eds.) Proceedings 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016). Rome: Scitepress. 119-127.
- Rossum A.C., Lin H.X., Dubbeldam J. & Herik H.J. van den (2016), Nonparametric Segment Detection. In: Pearce D., Pinto H.S. (Ed.) STAIRS 2016. no. vol. 284 Frontiers in Artificial Intelligence and Applications Amsterdam: IOS Press. 203-208.
- Onderwijs en Onderzoek