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About

Jun-Ho Huh is a researcher at the intersection of artificial intelligence, robotics, and financial technology, with a focus on applying reinforcement learning and automation to real-world systems. His most notable contribution is the development of deep reinforcement learning algorithms for algorithmic trading, where he integrates stock market conditions and macroeconomic factors like U.S. interest rates to optimize trading strategies—a work that has garnered 16 citations since 2024. This research highlights the potential of AI in dynamic decision-making, bridging cutting-edge machine learning with practical finance. Additionally, Huh has advanced STEM education and automation through his work on mobile robots with automatic speech recognition, earning 12 citations for a 2023 study that demonstrates how voice-controlled robots can enhance learning and industrial efficiency. His interdisciplinary approach, combining robotics, AI, and education, underscores his commitment to making technology accessible and impactful. With a growing citation record and a focus on solving complex, real-world problems, Huh is a rising figure in applied AI and robotics, inspiring students and researchers to explore the convergence of automation, finance, and education.