Guest Editors for a Special Issue of Mathematics
š¢ Dr. Dohee Kim and Dr. Kyung-Hun Shin are serving as Guest Editors for the special issue āAdvances in Mathematical Foundations of Deep Learning and Optimizationā in Mathematics. The submission deadline is July 31, 2027.
About the Special Issue
This special issue of Mathematics, an open access journal published by MDPI, focuses on mathematical and computational methods integrating data-driven learning, physical knowledge, simulation, and optimization for complex engineering systems. Particular interest is given to methods that enable reliable AI and optimization under limited data, physical laws, operational constraints, uncertainty, and dynamic environments.
Topics of Interest
- Physics-informed and structure-informed learning
- Mathematical modeling of dynamical systems
- Surrogate and reduced-order modeling
- Constrained, multi-objective, robust, and stochastic optimization
- Uncertainty quantification and optimal control
- Reinforcement learning and learning-based decision-making
- Digital twins and intelligent engineering systems
- Prediction, simulation, and optimization for energy, manufacturing, transportation, and infrastructure
Original research, methodological studies, mathematically grounded applications, and review articles are welcome.
Guest Editors
- Dr. Dohee Kim ā Department of Artificial Intelligence Engineering, Changwon National University, Republic of Korea
- Dr. Kyung-Hun Shin ā Department of AI Electrical Engineering, Changwon National University, Republic of Korea
Submission Information
- Deadline for manuscript submissions: July 31, 2027
- Special issue website: View details and submission information
- Flyer: Download the special issue flyer (PDF)
- Editorial Office: mathematics@mdpi.com