- TEAM

Mohammad Mahdi Dehshibi
Postdoctoral Research Scientist at i_mBODY Laboratory, Department of Computer Science and Engineering, Universidad Carlos III de Madrid.
Mohammad Mahdi Dehshibi is an AQU Associate Professor with a PhD in Artificial Intelligence. His areas of expertise include Deep Learning, Affective Computing, Complex Systems Modeling, and Unconventional Computing. In 2018, he began working as a postdoctoral researcher at UOC (Barcelona, Spain) to develop eXplainable AI models for use in affective computing and human well-being. In addition, he has collaborated on two EU-funded projects (FUNGAR and COgITOR) to create a tool for mathematical analysis of the complex electrical activity of mycelium and tree networks. In 2022, Mohammad joined UC3M (Madrid, Spain) as a senior machine learning researcher to work on the EU-funded BODYinTRANSIT project. He is also a visiting scholar at the Unconventional Computing Lab (UWE, Bristol) and a member of the editorial board of the International Journal of Parallel, Emergent, and Distributed Systems.
Every seed that fell into the ground, did it not later grow? Should the seed of human be any different to you?
Rumi
- SOCIAL NETWORKS
- PUBLICATIONS
Amar D’Adamo, Daniel De la Prida Caballero, Joaquín R. Díaz Durán, Luis Antonio Azpicueta-Ruiz, Mohammad Mahdi Dehshibi, Ana Tajadura-Jiménez
ICASSP 2023 – The International Conference on Acoustics, Speech, & Signal Processing
Amar D’Adamo, Mohammad Mahdi Dehshibi, Marte Roel, Joaquín R Díaz-Durán, Daniel de la Prida, Luis Antonio Azpicueta, Ana Tajadura-Jiménez
MLSP2023: IEEE International Workshop on Machine Learning for Signal Processing
Amar D’Adamo, Mohammad Mahdi Dehshibi, Marte Roel, Joaquín R Díaz-Durán, Daniel de la Prida, Luis Antonio Azpicueta, Ángel Sánchez, Fernando Díaz de María, Aleksander Väljamäe, Ana Tajadura-Jiménez
IMRF2023: The International Multisensory Research Forum
Amar D’Adamo, Mohammad Mahdi Dehshibi, Marte Roel, Joaquín R Díaz-Durán, Daniel de la Prida, Luis Antonio Azpicueta, Ángel Sánchez, Fernando Díaz de María, Aleksander Väljamäe, Ana Tajadura-Jiménez
BRnet2023: Body Representation Network
Mohammad Mahdi Dehshibi, Temitayo Olugbade, Fernando Diaz-De-Maria, Nadia Bianchi-Berthouze, Ana Tajadura-Jiménez
IEEE Journal of Selected Topics in Signal Processing