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?
IEEE Journal of Selected Topics in Signal Processing