Short bio

Dr Miguel Molina-Solana is a Lecturer (Prof. Ayudante Doctor) with the Department of Computer Science and AI, Universidad de Granada (Spain) Before, he was an Athenea3i Research Fellow (funded by an EU H2020 MSCA-COFUND project) at the same department, and 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 as a postdoc researcher at UGR. His research experience comprises work in Data Mining, Machine Learning and Knowledge representation applied to different areas such as Music, Energy and Disinformation.

Publications

Post-doc Experience

Profesor Ayudante Doctor

2021 - ...
Dept. Computer Science & AI, Universidad de Granada

Athenea3i Research Fellow

2019 - 2021
Dept. Computer Science & AI, Universidad de Granada

Marie Sklodowska Curie Research Fellow

2017 - 2019
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
Dept. Computer Science & AI, Universidad de Granada

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.

Supervision

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
TAT Granada 2020 - Our research on identyfing disinformation in Twitter