Dr Miguel Molina-Solana currently holds a Marie Curie Research Fellowship position at the University of Granada. Before, he was a Marie Curie Research Fellow at Imperial's Data Science Institute (DSI). He maintains a close collaboration with the College by participating in research projects, supervising students and performing short visits. His research experience comprises applied work in the areas of Knowledge Representation, Data Understanding, and AI.
et al., 2020, Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation, Computer Methods in Applied Mechanics and Engineering, Vol:372, ISSN:0045-7825
Soman R, Molina Solana M, Whyte J, 2020, Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction, Automation in Construction, Vol:120, ISSN:0926-5805
et al., 2020, A time-series clustering methodology for knowledge extraction in energy consumption data, Expert Systems With Applications, Vol:160, ISSN:0957-4174
et al., 2020, Towards a large-scale twitter observatory for political events, Future Generation Computer Systems, Vol:110, ISSN:0167-739X, Pages:976-983
et al., 2020, A case study on understanding energy consumption through prediction and visualization (VIMOEN), Journal of Building Engineering, Vol:30, ISSN:2352-7102, Pages:1-14