معرفی
Andreas Mang is an Associate Professor in the Department of Mathematics at the University of Houston, part of the College of Natural Sciences & Mathematics. His research focuses on developing computational methods that integrate data, simulation, and optimization to address challenges in applied sciences, particularly in medical imaging and oncology. He leads the Numerical Analysis and Scientific Computing Group, emphasizing parallel algorithms and high-performance computing.
Education:
- PhD in Engineering Sciences (Dr.-Ing), University of Luebeck, Germany (2013)
- Postdoctoral Fellowship at the Oden Institute, University of Texas at Austin (2013–2017)
Research Interests: Mang's work spans numerical analysis, inverse problems, optimal control, and medical image registration. Key areas include diffeomorphic image registration (e.g., CLAIRE framework), biophysical tumor growth modeling, and scalable algorithms for large-scale inverse problems. His methods leverage GPU acceleration and distributed-memory systems for efficiency.
Recent Contributions: His research includes advancements in GPU-accelerated image registration, parameter estimation for tumor growth models, and uncertainty quantification. Notable projects involve the CLAIRE software for 3D image registration and collaborations on oncology imaging and computational oncology.
Awards & Recognition:
- NSF CAREER Award (2022)
- NSM Junior Faculty Award for Excellence in Research
- Award for Excellence in Research from University of Houston
Outreach & Leadership: Mang advises the Texas Theta Chapter of Pi Mu Epsilon and actively organizes workshops/conferences (e.g., SIAM, ICCOPT). He contributes to academic mentoring, including PhD admissions in the Mathematics Department.
