Short bio
Dr Miguel Molina-Solana is an Athenea3i Research Fellow (funded by an EU H2020 MSCA-CONFUND project) with the Universidad de Granada (Spain). Before, he was a Marie Curie Research Fellow at the Data Science Institute (DSI), Imperial College London, where he led a Human-Data Interaction and Visualisation research group. He also worked as a Research Associate at the DSI, and a postdoc researcher at the Department of Computer Science and Artificial Intelligence of University of Granada. His research experience comprises work in the areas of Data Mining, Machine Learning and Knowledge representation applied in different areas such as Music, Energy management and Healthcare.
Post-doc Experience
Current Projects
PERCENTAGE
- Deep Learning for predicting energy consumption in heritage sites. (EU H2020 MSCA project)
PROFICIENT
- Deep Learning for Energy-Efficient Building Control. (EXPLORA project)
DataSound
- Understanding data with sound. (EU H2020 MSCA project)
OVE
- Open-source software stack, designed to be used in large scale visualisation environments like the Imperial College Data Science Institute's Data Observatory.
Do the Shuffle
- Investigating listeners' relationships with music they have curated.
Recent Publications
PLOS One 12 (2020)
Future Generation Computer Systems 106 (2020)
Future Generation Computer Systems (2020)
NeurIPS 2019, Workshop Tackling Climate Change with Machine Learning
IEEE Access 7 (2019), 126305–126314
IEEE Access 7 (2019), 38748-38765
Outreach
Some of my activities engaging with the broad society
Chasmata
- The Sound of Mars, at the 20th anniversary of Guggenheim Museum Bilbao
Failling Walls
- Breaking the walls of Data Visualisation in a 3-minute presentation!
DataBeers MLG
- Presenting 'Sound Data Science' in a meetup of data and sound
Native Scientist
- Explaining 'How printers work?' to primary students