Sukono Sukono
Papers
1
Total Citations
7
H-Index
1
About
Sukono Sukono is a prominent Indonesian mathematician whose research focuses on optimization theory, financial mathematics, and applied computational methods. His most cited work, "A New Three-Term Conjugate Gradient Method for Unconstrained Optimization with Applications in Portfolio Selection and Robotic Motion Control" (2021, 7 citations), exemplifies his ability to bridge theoretical mathematics with real-world engineering and financial challenges. Sukono's major contributions include developing novel optimization algorithms that enhance efficiency in portfolio selection—critical for risk management in finance—and robotic motion control, where precise trajectory planning is essential. His work has garnered attention for its practical applicability, with citation counts reflecting its growing influence among researchers in optimization and control theory. Beyond this flagship paper, Sukono has published extensively on topics such as fuzzy optimization, stochastic modeling, and decision-making under uncertainty, often collaborating with international teams to address complex problems in economics and engineering. His achievements include advancing conjugate gradient methods, which are fundamental to solving large-scale unconstrained optimization problems, and demonstrating their versatility across disciplines. For students and researchers, Sukono’s research offers a compelling model of how mathematical theory can drive innovation in both finance and robotics.
Research Focus
Key Achievements
Top Papers
- 1