Nature-Inspired Machine Learning (NIMI)

Senior Researcher

Nature-Inspired Machine Learning (NIMI)

Farhad Safaei is a skilled AI and Reinforcement Learning expert, committed to harnessing the power of AI to tackle real-world challenges across diverse domains. With experience in various AI-driven projects in the industry, Farhad has gained valuable insights into addressing complex problems and developing effective solutions. In 2019, he joined Deutsche Bahn (DB) as a Senior Reinforcement Learning Expert, where he played a significant role as an early contributor to an innovative project aimed at creating an AI-based capacity and traffic management system using Multi-Agent Reinforcement Learning. Alongside his position at DB, Farhad is pursuing academic research focused on enhancing the robustness and reliability of reinforcement learning methods for critical and practical applications. Driven by a strong passion for making a tangible impact on human lives, Farhad is highly motivated about his research collaboration with the InfAI Institute, through which he can leverage his AI expertise to develop innovative solutions for pressing healthcare challenges.


Farhad Safaei

Senior Researcher

Nature-Inspired Machine Learning (NIMI)

Farhad Safaei is a skilled AI and Reinforcement Learning expert, committed to harnessing the power of AI to tackle real-world challenges across diverse domains. With experience in various AI-driven projects in the industry, Farhad has gained valuable insights into addressing complex problems and developing effective solutions. In 2019, he joined Deutsche Bahn (DB) as a Senior Reinforcement Learning Expert, where he played a significant role as an early contributor to an innovative project aimed at creating an AI-based capacity and traffic management system using Multi-Agent Reinforcement Learning. Alongside his position at DB, Farhad is pursuing academic research focused on enhancing the robustness and reliability of reinforcement learning methods for critical and practical applications. Driven by a strong passion for making a tangible impact on human lives, Farhad is highly motivated about his research collaboration with the InfAI Institute, through which he can leverage his AI expertise to develop innovative solutions for pressing healthcare challenges.


Senior Researcher

Nature-Inspired Machine Learning (NIMI)

Farhad Safaei is a skilled AI and Reinforcement Learning expert, committed to harnessing the power of AI to tackle real-world challenges across diverse domains. With experience in various AI-driven projects in the industry, Farhad has gained valuable insights into addressing complex problems and developing effective solutions. In 2019, he joined Deutsche Bahn (DB) as a Senior Reinforcement Learning Expert, where he played a significant role as an early contributor to an innovative project aimed at creating an AI-based capacity and traffic management system using Multi-Agent Reinforcement Learning. Alongside his position at DB, Farhad is pursuing academic research focused on enhancing the robustness and reliability of reinforcement learning methods for critical and practical applications. Driven by a strong passion for making a tangible impact on human lives, Farhad is highly motivated about his research collaboration with the InfAI Institute, through which he can leverage his AI expertise to develop innovative solutions for pressing healthcare challenges.


Publications

Senior Researcher

Nature-Inspired Machine Learning (NIMI)

Farhad Safaei is a skilled AI and Reinforcement Learning expert, committed to harnessing the power of AI to tackle real-world challenges across diverse domains. With experience in various AI-driven projects in the industry, Farhad has gained valuable insights into addressing complex problems and developing effective solutions. In 2019, he joined Deutsche Bahn (DB) as a Senior Reinforcement Learning Expert, where he played a significant role as an early contributor to an innovative project aimed at creating an AI-based capacity and traffic management system using Multi-Agent Reinforcement Learning. Alongside his position at DB, Farhad is pursuing academic research focused on enhancing the robustness and reliability of reinforcement learning methods for critical and practical applications. Driven by a strong passion for making a tangible impact on human lives, Farhad is highly motivated about his research collaboration with the InfAI Institute, through which he can leverage his AI expertise to develop innovative solutions for pressing healthcare challenges.


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