Dr. Peyman Tehrani, Ph.D.

Leading machine learning-based projects by analyzing mobile operators datasets, proposing and implementing new ideas and presenting them to customers. Achieved successful demos and trials with international operators such as Deutsche Telekom, Vodafone and Rakuten Mobile. • Developed a safe ML model with a custom loss function for Energy Savings for Multi-Carrier (ESMC) rApp, which saved more than 25% of power consumption with less than 0.001% impact on quality of service (link). • Developed a deep reinforcement learning model for Energy Savings with MIMO Adaption (ESMA) rApp, which saved more than 27% of MIMO power consumption with less than 0.1% impact on user throughput. • Implemented an MU-MIMO simulator using the NVIDIA Sionna library and customized it as an OpenAI Gym package for online training of DRL models. • Developed an offline deep contextual bandit for antenna tilting and coveragecapacity optimization, improving network coverage by up to 15%.

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