Department of Mechanical Engineering
Korea Advanced Institute of Science and Technology (KAIST)
N7-4 3105, 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141 Korea
Bumsoo Park, Ph.D.
Post-doctoral Researcher | Mechanical Engineering Research Institute | KAIST
Bumsoo Park is currently a Post-doctoral researcher at the Korea Advanced Institute of Science and Technology (KAIST). Bumsoo received his Ph.D. from the Rensselaer Polytechnic Institute in 2023, and his BS and MS degrees from the Ulsan National Institute of Science and Technology (UNIST) in 2017 and 2019, respectively.
Bumsoo's research focuses on AI-based control, decision making, and diagnosis for complex mechanical systems. Through integration of domain knowledge and advanced machine learning algorithms, Bumsoo aims to develop adaptive and autonomous solutions capable of efficiently navigating the challenges inherent in complex engineering environments. His research not only involves theoretical advancements but also practical implementations, bridging the gap between theoretical advancements and tangible applications in industries reliant on sophisticated mechanical systems.
Overview
Research Areas
Advanced Manufacturing
Advanced manufacturing systems, particularly in metal 3D printing, leverage cutting-edge technologies to produce complex components with great precision and efficiency. Through the usage of machine learning-based techniques, we can enhance the printing process by analyzing vast datasets, ensuring quality control, and enhancing design capabilities, ultimately pushing the boundaries of additive manufacturing technologies.
Smart Building Control
Smart energy buildings integrate AI to revolutionize energy consumption and management. These structures utilize sophisticated sensors and AI algorithms to monitor and adjust lighting, temperature, and power usage in real-time, fostering energy efficiency and sustainability. Through AI-driven insights, smart energy buildings adapt to occupants' needs, reducing environmental impact and operating costs.
Autonomous Systems
Autonomous systems, ranging from self-driving cars to unmanned aerial vehicles, rely heavily on AI for decision-making and navigation. AI algorithms process sensor data, interpret the environment, and make decisions to ensure safe and efficient operation. By leveraging machine learning techniques, autonomous systems are revolutionizing various sectors, paving the way for a future where machines can independently navigate and execute tasks.