Welcome to the Engineering Optimization and Algorithms (EOA) Research Group

As technology advances rapidly, the need for efficient, intelligent, and scalable algorithmic solutions becomes more critical than ever. At the Engineering Optimization and Algorithms (EOA) Research Group, we are dedicated to developing advanced optimization algorithms, including heuristics, metaheuristics, and algorithmic frameworks, to solve complex real-world problems across emerging technology domains.

• Mission

The EOA research group is committed to advancing optimization techniques that drive performance, adaptability, and innovation across science and industry. Our mission is to design and apply intelligent algorithms to tackle problems in robotics, energy systems, cybersecurity, computational geometry, intelligent scheduling, feature selection, and EEG signal analysis. By bridging theoretical foundations with practical applications, we aim to produce impactful algorithmic solutions that enhance decision-making, automation, and efficiency in dynamic and data-intensive environments.

• Research Interest

Our research group focuses on designing and applying heuristic and metaheuristic optimization algorithms for various domains, including path planning and motion control in robotics, smart grid optimization, secure communication in cybersecurity, and geometric processing in spatial systems. We explore intelligent scheduling techniques for complex workflows, feature selection methods for high-dimensional data, and optimization-driven analysis of EEG signals. By integrating algorithmic innovation with emerging technologies, we deliver efficient and scalable solutions that contribute to advancements in autonomous systems, smart infrastructure, and computational decision-making.

Whether you are a researcher, student, or industry partner, we invite you to explore our work, engage in collaborative opportunities, and contribute to shaping the future of optimization-driven technology.