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.
et al., 2023, Physics-informed neural networks for data-driven simulation: Advantages, limitations, and opportunities, Physica A: Statistical Mechanics and Its Applications, Vol:610, ISSN:0378-4371
Lopez-Montes J, Molina-Solana M, Fajardo W, 2022, GenoMus: Representing Procedural Musical Structures with an Encoded Functional Grammar Optimized for Metaprogramming and Machine Learning, Applied Sciences-basel, Vol:12
Dmitrewski A, Molina-Solana M, Arcucci R, 2022, CNTRLDA: A building energy management control system with real-time adjustments. Application to indoor temperature, Building and Environment, Vol:215, ISSN:0360-1323
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, Pages:1-16
et al., 2021, Sinergym: A building simulation and control framework for training reinforcement learning agents, Pages:319-323