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Jesse ChanView profile

Associate Professor

• Computational Engineering
• Scientific Computing
• Reduced Order Modeling
• +2 more

Jesse Chan is an Associate Professor in the Department of Aerospace Engineering & Engineering Mechanics and the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, having joined in Fall 2025 after six years as faculty at Rice University. He earned his Ph.D. in computational science, engineering, and mathematics from The University of Texas at Austin in 2013, followed by postdoctoral positions at Rice University (2013-2015) and Virginia Tech (2015-2016). His educational trajectory demonstrates deep specialization in computational methods for engineering applications. Chan's research focuses on computational engineering and scientific computing, with core expertise in reduced order modeling and computational fluid dynamics. He develops structure-preserving discretizations—including high-order discontinuous Galerkin methods—for simulating time-dependent hyperbolic partial differential equations. His work targets high-speed fluid flows over complex geometries critical to aerodynamic design (aircraft/wind turbines), computational weather prediction, flood modeling, and plasma/fusion energy systems. This research bridges theoretical numerical analysis with practical engineering solutions. Scientific awards: No awards are mentioned in the provided text. Advising and grants: While the text confirms his faculty role and research leadership, specific details about student advising or grant funding are not provided. His integration into the Computational Mechanics Group suggests active collaboration on computational projects. He is a core member of the Oden Institute's Computational Mechanics Group (CMG), which advances interdisciplinary research in computational mechanics—including isogeometric analysis, computational fluid dynamics, and structure-preserving algorithms. The CMG's mission spans fundamental mathematics, algorithm development, and engineering applications across aerospace, energy, and environmental systems.

Ayse SahinView profile

Professor

• Ergodic theory
• Dynamical systems
• Amenable groups
• +2 more

Ayse Sahin serves as Professor and Dean of the College of Science and Mathematics at Wright State University in Dayton, Ohio, where she provides academic leadership while maintaining an active research program in pure mathematics. Her administrative role encompasses oversight of all academic departments and programs within the college. Her educational foundation includes: B.A. in Mathematics (1988) from Mount Holyoke College M.A. in Mathematics (1992) from University of Maryland at College Park Ph.D. in Mathematics (1994) from University of Maryland at College Park Dr. Sahin's research centers on ergodic theory and dynamical systems, with specialized expertise in actions of amenable groups. Her work investigates structural properties of multi-dimensional dynamical systems through combinatorial and geometric approaches, particularly examining recurrence phenomena, entropy characteristics, and equivalence relations in measure-preserving systems. She has made significant contributions to understanding Kakutani equivalence, directional dynamics in Z d actions, and tiling-based representations of group actions. Analysis of her publication trajectory reveals consistent focus on foundational aspects of dynamical systems, evolving from one-dimensional systems to higher-dimensional and continuous group actions. Her recent work increasingly incorporates geometric structures like Robinson tilings and Heisenberg group actions, demonstrating interdisciplinary connections between ergodic theory, combinatorics, and geometric group theory. As Dean, she bridges administrative responsibilities with scholarly contributions, maintaining an active research profile while shaping the academic direction of the College of Science and Mathematics.

• Computational Mechanics
• Finite Element Methods
• Structural Analysis
• +7 more

Professor Michael Kaliske is a leading researcher at Dresden University of Technology's Institute of Statics and Dynamics of Structures, where he conducts cutting-edge research in computational mechanics and structural engineering. His work bridges theoretical developments with practical applications across civil, mechanical, and materials engineering disciplines. Professor Kaliske's research focuses on computational mechanics with particular expertise in finite element methods, multiscale modeling, and material behavior under various loading conditions. His work spans diverse application areas including concrete technology, wooden structures, elastomeric materials (particularly tires), and uncertainty quantification in structural design. He has developed sophisticated numerical frameworks for analyzing complex structural behaviors, especially in contexts where traditional analytical methods fall short. His research demonstrates strong interdisciplinary connections between civil engineering, mechanical engineering, and computational science with practical applications in infrastructure durability and material design. His publication record shows consistent advancement in computational methods for structural analysis, with recent work emphasizing multiscale approaches, uncertainty quantification, and experimental validation. The research themes demonstrate progression from fundamental material modeling to increasingly complex system-level analysis, particularly in infrastructure durability and tire-road interaction phenomena. His work increasingly incorporates data-driven approaches and uncertainty modeling to address real-world engineering challenges. Professor Kaliske actively leads multiple research projects funded by the German Research Foundation (DFG), including ongoing Priority Programs and Material Grants. His project portfolio demonstrates significant contributions to both theoretical developments in computational mechanics and practical applications in civil infrastructure and industrial manufacturing. His research has particularly strong connections to industrial applications in tire manufacturing and road infrastructure design.