Junior Momo Ziazet did its work-term with IVADO Laboratories-Canada and proposed a reinforcement learning framework to solve a crucial problem facing telecommunications operators today, that of routing and spectrum allocation for transmissions in elastic optical networks. The idea was to design an intelligent agent with a global vision on the network’s activities and great adaptability.

Junior is currently pursuing PhD studies in Machine Learning at IVADO, Canada.