Professor, University of Houston
Dr. Onofrei will deliver lectures on Inverse Problems and their various applications. His research interests include inverse source problems, active control of acoustic and EM waves, multi-scale analysis and applications, and homogenization theory.
Associate Professor, Khon Kaen University
Dr. Nimana will talk about classical and recent Optimization methods for dealing with machine learning problems. His works focus on iterative methods for solving convex and nonconvex optimizations and applications in machine learning and image processing.
Associate Professor, UPLB
Dr. Egarguin will talk about solving large Linear Systems. He specializes on active control of wavefields and applications, numerical analysis, and real analysis.
Professor, UPLB
Dr. Jose will deliver the course on Optimal Control principles and applications. Her expertise includes homogenization and controllability of PDEs, mathematics of chemical reaction networks, and biomathematics.
Professor, UPLB
Dr. Roxas- Villanueva will tackle the the core principles and practical techniques that form the foundation of modern Machine Learning. Her specialization includes data science, complex systems and network science, and physics education.