Short bio

Dr Miguel Molina-Solana is an Associate Professor (Prof. Contratado Doctor) with the Department of Computer Science and AI, Universidad de Granada (Spain) where he co-leads its SAIL lab. 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

Associate Professor

2022 - ...
Dept. Computer Science & AI, Universidad de Granada

Assistant Professor

2021 - 2022
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

SINERGY - Deep learning for buildings' energy simulation models. (Spanish National R&D programme)
D3S - Deep Data-Driven Simulation models for Physics phenomena. (Andalusian R&D programme)
SPEEDY - Massively parallel simulations in the cloud. (Spanish Ecologic Transition programme)
IA4TES - AI applications for a sustainable energy transition. (Spanish Missions on AI programme)
IBERIFIER - EDMO's regional disinformation observatory for Spain and Portugal. Funded by the EU
U-MIND - Understanding whether or not multimodal disinformation is more effective than textual. Funded by FundaciĆ³n La Caixa.

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