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English
Academic Press Inc
16 February 2026
Quantitative Biology
By:   , , ,
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443274527
ISBN 10:   0443274525
Pages:   378
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
1. Computational Thinking for Mathematical Biology 2. Modeling and Computation for Biological Interactions 3. Parameter identification for Biological Systems 5. From Deterministic to Predictive Modeling 6. Classification Algorithms for Modeling Biological Systems 7. Data-driven approaches for Bioimage Processing 8. Physics Informed Neural Networks for Biological Dynamics 9. Data-driven Optimal Control in Mathematical Biology 10. Data-driven approaches for real-world Societal Challenges

Alonso Oliva Ogueda holds a Master’s degree in Mathematics from the Universidad Técnica Federico Santa María (2021) and a Mathematical Engineering degree from Universidad Técnica Federico Santa María (2019). He has worked on a variety of projects involving development of mathematical/statistical algorithms, data analysis, data science and engineering and Cloud computing. Dr. Padmanabhan Seshaiyer is a tenured Professor of Mathematical Sciences at George Mason University and serves as the Director of the STEM Accelerator Program in the College of Science as well as the Director of COMPLETE (Center for Outreach in Mathematics Professional Learning and Educational Technology) at George Mason University in Fairfax, Virginia. His research interests are in the broad areas of computational mathematics, computational data science, scientific computing, computational biomechanics, design and systems thinking, entrepreneurship and STEM education. During the last decade, Dr. Seshaiyer initiated and directed a variety of educational programs including graduate and undergraduate research, K-12 outreach, teacher professional development, and enrichment programs to foster the interest of students and teachers in STEM at all levels.

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