Marko Seslija
Post Doc
Biography
My research focuses on modeling and analysis of emergent phenomena in complex networked systems. I am particularly excited by mathematical and engineering challenges lying on the intersection of data-driven system identification and computational neuroscience. The central question of my current research project in CoMo is probabilistic surrogate modeling of large-scale engineering systems.Research Themes
Recent Preprints
243: Deep Kernel Learning Approach to Engine Emissions Modelling
Changmin Yu, Marko Seslija, George Brownbridge, Sebastian Mosbach, Markus Kraft, Mohammad Parsi, Mark Davis, Vivian Page, and Amit Bhave, Technical Report 243, c4e-Preprint Series, Cambridge, 2019.
Recent Publications
Deep kernel learning approach to engine emissions modeling
Changmin Yu, Marko Seslija, George Brownbridge, Sebastian Mosbach, Markus Kraft, Mohammad Parsi, Mark Davis, Vivian Page, and Amit Bhave, Data-Centric Engineering 1, 4, (2020).
Contact Details
| Email: | ms2354@cam.ac.uk_delete_this_bit |
| Telephone: | +44 (0)1223 762785 |
| Address: | Department of Chemical Engineering and Biotechnology University of Cambridge West Cambridge Site Philippa Fawcett Drive Cambridge CB3 0AS United Kingdom |
| Website: | Personal Homepage |