Dr Miguel Molina-Solana is currently a lecturer with 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.
Soman RK, Molina-Solana M, 2022, Automating look-ahead schedule generation for construction using linked-data based constraint checking and reinforcement learning, Automation in Construction, Vol:134, ISSN:0926-5805
Gan HM, Fernando S, Molina-Solana M, 2021, Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams, Expert Systems With Applications, Vol:182, ISSN:0957-4174, Pages:1-15
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, Sinergym: A building simulation and control framework for training reinforcement learning agents, Pages:319-323
Gómez-Romero J, Molina-Solana M, 2021, Towards Data-Driven Simulation Models for Building Energy Management, International Conference on Computational Science, Springer International Publishing, Pages:401-407, ISSN:0302-9743