معرفی
Tahir Issa is an Assistant Professor in the Department of Mathematics and Statistics at San José State University's College of Science. His research spans Data Science, Machine Learning, Deep Learning, Statistics, and Mathematical Biology with a focus on chemotaxis models and medical imaging applications. He holds a Ph.D. in Mathematics and actively contributes to interdisciplinary research at the intersection of computational methods and life sciences.
Research Interests: Dr. Issa's work integrates theoretical mathematics with applied machine learning. Key areas include developing deep learning algorithms for medical imaging (e.g., fluorescence microscopy and mammography auditing), analyzing chemotaxis-driven biological systems (e.g., population dynamics and competitive species models), and applying statistical methods to environmental and civil engineering challenges. His mathematical biology research emphasizes stability analysis and pattern formation in heterogeneous environments.
Publications Trends: His recent work demonstrates expertise in both computational modeling (e.g., U-Net architectures for cell segmentation, GANs for super-resolution imaging) and theoretical analysis of PDE systems in chemotaxis. The 2023–2025 articles highlight advancements in medical imaging automation and healthcare-related machine learning applications.
Grants & Advising: While specific grants are not listed, his active publication record suggests ongoing research funding. He advises students in interdisciplinary projects combining mathematics, data science, and biology. No awards are explicitly mentioned in the provided text.
Labs & Teams: Affiliated with the Mathematics and Statistics Department's research groups focused on applied mathematics and data science initiatives.
