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.
Gan HM, Fernando S, Molina-Solana M, 2021, Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams, Expert Systems With Applications, ISSN:0957-4174, Pages:115154-115154
et al., 2021, Minimalistic fuzzy ontology reasoning: An application to Building Information Modeling, Applied Soft Computing, Vol:103, ISSN:1568-4946, Pages:1-15
et al., 2021, Variational Gaussian process for optimal sensor placement, Applications of Mathematics, Vol:66, ISSN:0373-6725, Pages:287-317
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