| Andreas Themelis | Last modified date：2024.04.01 |
Associate Professor /
Department of Electrical Engineering
Faculty of Information Science and Electrical Engineering
Faculty of Information Science and Electrical Engineering
Graduate School
Undergraduate School
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Homepage
https://kyushu-u.elsevierpure.com/en/persons/andreas-themelis
Reseacher Profiling Tool Kyushu University Pure
Phone
092-802-3718
Academic Degree
PhD
Country of degree conferring institution (Overseas)
Yes Bachelor Master Doctor
Field of Specialization
Optimization
Total Priod of education and research career in the foreign country
02years01months
Outline Activities
The increase of computing capability and the development of powerful (micro)processors that we have witnessed in the last years has motivated engineers to design more sophisticated ad-hoc control strategies based on "Optimization". The importance of this science is dictated by the fact that virtually any engineering problem is (or can be reduced to) a functional minimization. For instance, finding the "best" route in path planning amounts to finding the one that minimizes a cost (function), which is the contribution of factors such as distance, time, fuel consumption, and so on. The main challenge is to find a suitable balance between convergence speed, low computational requirements, and range of problems that can be solved. Our group aims at developing efficient algorithms to be employed in a wide area of engineering applications, including, but not limited to, control and signal processing.
Research
Research Interests
- The increase of computing capability and the development of powerful (micro)processors that we have witnessed in the last years has motivated engineers to design more sophisticated ad-hoc control strategies based on "Optimization". The importance of this science is dictated by the fact that virtually any engineering problem is (or can be reduced to) a functional minimization. For instance, finding the "best" route in path planning amounts to finding the one that minimizes a cost (function), which is the contribution of factors such as distance, time, fuel consumption, and so on. The main challenge is to find a suitable balance between convergence speed, low computational requirements, and range of problems that can be solved. Our group aims at developing efficient algorithms to be employed in a wide area of engineering applications, including, but not limited to, control and signal processing.
keyword : Optimization algorithms for engineering
2021.01～2021.06.
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