Mohammad, Rhudaina
interface evolution (multiphase) problems. gradient flows. free boundary problems. overdetermined boundary problems. shape optimization. pattern formation and defects. cell dynamics. variational methods. partial differential equations. numerical analysis and simulations.
- Numerical Analysis and Scientific Computing (member)
- Modelling and Applications (affiliate)
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Education
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PhD Mathematics 博士(理学)
Kanazawa University (金沢大学), JapanDissertation: Numerical Analysis of Multiphase Curvature-driven Interface Evolution with Volume Constraint (体積保存条件を満たす複数の界面の曲率による運動の数理解析)
Adviser: Dr. Karel Švadlenka -
MS Mathematics
University of the Philippines DilimanThesis: Amrein-Berthier’s Uncertainty Principle
Adviser: Dr. Noli N. Reyes -
BS Mathematics, Cum laude
Western Mindanao State University -
Professional Education Course, Top 5, Licensure Examination for Teachers
Western Mindanao State University
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PhD Mathematics 博士(理学)
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Postdoctoral Fellowships
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Kyoto University (京都大学), Japan (JSPS Postdoctoral Fellowship for Research)
Supervisor: Dr. Karel Švadlenka (2018-2020)
Project: Theory and Applications of Anisotropic Interfacial Network Evolution (https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18F18016) See publication: https://www.nature.com/articles/s42003-022-03174-6
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Kyoto University (京都大学), Japan (JSPS Postdoctoral Fellowship for Research)
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Research
My main interest is on interface evolution (multiphase) problems, but I am also open to any interesting problems in numerical analysis and scientific computing (theory and/or applications) — not limited to my research interests. Feel free to contact me for possible thesis topics and/or collaboration.
“I like crossing the imaginary boundaries people set up between different fields — it’s very refreshing. There are lots of tools, and you don’t know which one would work. It’s about being optimistic and trying to connect things.”
Maryam Mirzakhani, 2014 Fields Medalist
MENTORING
Current Graduate Students
- Jeffer Dave Cagubcob, PhD Mathematics
- Margaret Esther C. Cruz, PhD Data Science, co-adviser: Dr. Renier Mendoza
- Conie Q. Janul, MS Applied Mathematics (Optimization and Approximation Track), co-adviser: Dr. Aurelio de los Reyes V
- Rito Joseph F. Dominado, MS Applied Mathematics (Mathematics in Life and Physical Sciences Track), co-adviser: Dr. Bryan Hernandez
- Jose Aries B. De Los Santos, MS Applied Mathematics (Optimization and Approximation Track), co-adviser: Dr. Renier Mendoza
Current DOST-CIP Fellow
- Marian T. Cantal, MS Graduate Fellow in Applied Mathematics
Current Undergraduate Students
- Lem Nathan C. Ereña, BS Mathematics
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Former Graduate Students
- Marian T. Cantal, MS Applied Mathematics (Numerical Analysis of Differential Equations Track), Excellence in Graduate Studies Award, Thesis: “Serrin-type overdetermined boundary problem via level set method“, June 27, 2023
- Ken Matthew C. Oliva, MS Applied Mathematics (Optimization and Approximation Track), Thesis: “Numerical simulation of the 2020 Taal volcanic ash dispersion“, June 23, 2023, co-advisers: Dr. Arrianne Crystal Velasco, Dr. Renier Mendoza
- Kurt Izak M. Cabanilla, MS Applied Mathematics (Optimization and Approximation Track), Excellence in Graduate Studies Award, Thesis: “Approximation spaces of deep neural networks with ReLU powers“, January 11, 2023, co-adviser: Dr. Jose Ernie Lope
- Paul Gabriel E. Lerona, MS Chemical Engineering, Thesis: “Simulation of solidification of titanium-base binary alloy using phase-field modeling“, January 10, 2023, co-adviser: Dr. Bryan G. Alamani (UP Department of Chemical Engineering)
Former Undergraduate Students
- Vince Patrick L. Roque, BS Mathematics, Thesis: “Solving Ordinary Differential Equations: An Artificial Neural Network Approach“, July 2023
- Rachel Noelle D. Carrido, BS Mathematics, Magna Cum Laude, Thesis: “A Total Variation Approach to Image Inpainting“, August 2022
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Teaching
Current Courses:
- DS 397 : Advanced Mathematical Methods in Data Science
- Math 271.1 : Numerical Analysis I
- Math 122 : Differential Equations and Applications
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Previous Courses Taught (UP Diliman):
・ MATH 227 : Calculus of Variations ・ MATH 271.1 : Numerical Analysis I ・ MATH 296 : Graduate Seminar ・ MATH 122: Differential Equations and Applications ・ MATH 171: Introduction to Numerical Analysis ・ MATH 21: Elementary Analysis I
Extension Work
- Co-organizer, Linear Systems and Applications: A Hands-on Python Workshop (https://csrc.science.upd.edu.ph/index.php/2024/04/12/linear-systems-and-applications-a-hands-on-python-workshop)
- Co-organizer, SEAMS School Manila 2023: Scientific Computing for Differential Equations and Applications (https://math.upd.edu.ph/seamsschoolmanila2023/)
- Co-organizer, UP World Experts Lecture Series 2023: Interface Evolution Problems (https://math.upd.edu.ph/wels2023/)
- Co-organizer, KU-UPD Joint Seminar on Numerical Analysis and Scientific Computing (https://sites.google.com/view/kuupd1/)
- Member, Local Organizing Committee, SEAMS School Manila 2022: Modern Trends in Signal and Data Processing (https://math.upd.edu.ph/seamsschoolmanila2022/)
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Publications
Featured Publications:
K.I. Cabanilla, R. Mohammad, and J.E. Lope (2024). Neural Networks with ReLU Powers Need Less Depth. Neural Networks 172, 106073. https://doi.org/10.1016/j.neunet.2023.12.027
R. Mohammad, H. Murakawa, K. Svadlenka, and H. Togashi (2022). A numerical algorithm for modeling cellular rearrangements in tissue morphogenesis. Communications Biology 5(1), 239. https://www.nature.com/articles/s42003-022-03174-6
- ORCID: https://orcid.org/0000-0002-9803-4350
- Google Scholar: https://scholar.google.com/citations?user=mnlCvv4AAAAJ&hl=en&authuser=1
- Researchgate: https://www.researchgate.net/profile/Rhudaina_Mohammad
- GitHub: https://github.com/rhudaina