معرفی
Joshua A. Levine is an Associate Professor in the Department of Computer Science at the University of Arizona. His research focuses on visualization, topological data analysis, and high-performance computing, with applications in quantum-inspired computing and geometric modeling. He leads the HDC Lab and has previously held postdoctoral and faculty positions at the University of Utah’s Scientific Computing and Imaging Institute and Clemson University.
Education:
- PhD in Computer Science, The Ohio State University (Advisor: Tamal K. Dey)
- BS and MS in Computer Science, Case Western Reserve University (Advisor: Michael S. Branicky)
Research Interests:
Levine's work spans visualization algorithms, topological methods for scientific data, and computational tools like TTK, Cleaver, and DelPSC. He integrates high-performance computing and acoustic metamaterials for quantum-analogue systems, addressing challenges in nonlinear dynamics and scalable data processing.
Grants & Funding:
- NSF New Frontiers of Sound (NewFoS) Center (DMR-2242925)
- DOE Neural Field Processing for Visual Analysis (DE-SC-0023319)
- NSF Collaborative Research: Neural Volume Visualization (IIS-2006710)
Awards:
- 2024-2025 Faculty Teaching Award
- 2023-2024 Faculty Service Award
- 2020-2021 DEI Award
Teaching:
Levine teaches advanced visualization courses (CSC 544/444), emphasizing d3.js, SVG, and data-driven design. Recent courses include Spring 2025's CSC 544 with topics like flow visualization and transfer functions.
Labs & Collaborations:
His group collaborates on projects like TTK (Topology ToolKit) and explores applications in acoustic computing, leveraging interdisciplinary approaches to advance visualization and computational methods.
