I study deep learning predictive algorithms and next-generation deep learning models in decentralized intelligent systems. The learning framework and models are based on human brain function and neural networks. I act as a researcher at the University of Oulu (1995-1998) in the stress and performance research group. I approach complexity and dynamics of unsupervised predictive algorithms in decentralized intelligent systems from spatio-temporal theory point of view. I develop the spatio-tempotal theory. 

From 2012, I have hold several academic positions as deputy professor, associate professor, director of research, and a visiting associate professor at the University of Versailles Computer Science Department. He has been an expert for the European Commission's Directorate-General CONNECT (Communications Networks, Content and Technology) from 2010 until today.

I acted as visiting professor at the Sorbonne University in Paris from September 2018 to December 2019. I have extensive domestic and international research networks in information, communication, and information technology and strong evidence of competitive research funding. I have led several industry-oriented national and international research projects, established effectiveness and competitiveness to adapt products & services in the global market. I have supervised several academic thesis and dissertations. 

I was awarded funding for scientific cooperation between French and Finnish universities in early 2020. The grant ensured research collaboration with professors and researchers from the Sorbonne Université, Université Paris-Dauphine, and the University of Berkeley's in the field of artificial intelligence. Besides the French Institute in Helsinki, the French Ministry of Higher Education, Research and Innovation, the Finnish Academy of Sciences, and the Finnish Science Association funded the research cooperation.