Short bio

Dr Miguel Molina-Solana is a Marie Curie Research Fellow at the Data Science Institute (DSI), Imperial College London, working on the DATASOUND project. He is also the leader of DSI's Human-Data Interaction and Visualisation research group. Before, he was 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.

Work Experience

Marie Sklodowska Curie Research Fellow

2017 - Present
Data Science Institute, Imperial College London

Research Associate, Visualisation Engineer

2015 - 2017
Data Science Institute, Imperial College London

Research Associate, EnergyIN TIME project

2013 - 2015
Universidad de Granada

Current Projects

DataSound - Understanding data with sound. An 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.
PROFICIENT - Deep Learning for Energy-Efficient Building Control

Recent Publications

J. Gómez-Romero, C. Fernández-Basso, M.V. Cambronero, M. Molina-Solana, J. Campaña, M.D. Ruiz, M.J. Martin-Bautista
IEEE Access 7 (2019), 38748-38765
R. Rueda, M. Pegalajar-Cuellar, M. Molina-Solana, Y. Guo, M.C. Pegalajar
Energies 12:6 (2019)
J. Amador, M. Molina-Solana, M.T. Kennedy
Big Data Analytics 3:9 (2018)
D. Dolan, H.J. Jensen, P. Martinez-Mediano, M. Molina-Solana, H. Rajpal, F. Rosas, J.A. Sloboda
Frontiers in Psychology 9 (2018), 1341
J. Gómez-Romero, M. Molina-Solana, A. Oehmichen, Y. Guo
Future Generation Computer Systems 89 (2018), 224-238

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