Mohammad, Rhudaina
numerical analysis・calculus of variations・partial differential equations・neural network theory and applications・mathematical cell biology・interface evolution (multiphase) problems
- Numerical Analysis and Scientific Computing (head)
- Optimization and Approximation (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 Certificate Program, LPT (Licensed Professional Teacher)
Western Mindanao State University
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PhD Mathematics 博士(理学)
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Postdoctoral Fellowships
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Department of Mathematics, Kyoto University (京都大学), Japan (JSPS Postdoctoral Fellowship for Research)
Supervisor: Dr. Karel Švadlenka (April 2018 - July 2020)
Project: Theory and Applications of Anisotropic Interfacial Network Evolution (https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18F18016)
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Department of Mathematics, Kyoto University (京都大学), Japan (JSPS Postdoctoral Fellowship for Research)
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Research
As a member of the Numerical Analysis and Scientific Computing (NASC) Group, my research focuses on three interconnected pillars:
- Mathematical Modeling : development and analysis — including existence, uniqueness, well-posedness, regularity, solution properties — of a mathematical abstraction of a problem or a class of problems, e.g. PDEs, optimization models, variational problems
- Numerical Analysis : mathematical foundation for construction and study — including stability, error analysis, convergence, computational complexity — of a numerical approximation or data-driven solution approach to a mathematically posed problem, e.g., finite element method, gradient-based methods, level set-based methods, neural networks
- Scientific Computing : efficient implementation of proposed numerical methods — harnessing available computational resources, e.g., CRL, UP Data Commons, Saliksik HPC, to address complex problems across life and physical sciences, applied sciences, and engineering
I welcome inquires regarding potential thesis supervision or research collaboration opportunities. Please feel free to contact me to discuss further.
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“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, first female Fields Medalist
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MENTORING ACTIVITIES
Current PhD Students
- Margaret Esther C. Cruz, PhD Data Science
Dissertation Proposal: “Image Reconstruction in Electrical Impedance Tomography using Physics-Informed Neural Networks with Differential Evolution”
co-adviser: Dr. Renier G. Mendoza - Jeffer Dave Cagubcob, PhD Mathematics, on hold for qualifying exam
co-adviser: Dr. Julius Fergy Rabago (Kanazawa University, Japan) - Christian Matthew Tandingan, PhD Mathematics, on hold for qualifying exam
co-advisers: Dr. Gervy Marie Angeles, Dr. John Sebastian Simon (Universität Koblenz, Germany) - Ken Matthew C. Oliva, PhD Mathematics, D2 coursework in progress
co-advisers: Dr. Bituin Cabarrubias, Dr. Aurelio de los Reyes V - Jose Aries B. De Los Santos, PhD Data Science, D1 coursework in progress
Current MS Students
- Gwhyneth De Guzman, MS Applied Mathematics (OA Track)
Thesis Proposal: “Optimal Placement of Low Impact Development Controls in Urban Storm Water Drainage System”
co-adviser: Dr. Arrianne Crystal Velasco - Rito Joseph F. Dominado, MS Applied Mathematics (MLPS Track)
Thesis Proposal: “Reaction Network Analysis of Apoptosis Models”
co-adviser: Dr. Bryan S. Hernandez - Conie Q. Janul, MS Applied Mathematics (OA Track), on maternity leave
Thesis Proposal: “Modeling and Optimal Control of Pestalotiopsis Leaf Fall Disease in Basilan Rubber Plantation”
co-adviser: Dr. Aurelio de los Reyes V - A C Bernadette M. Ducusin, MS Applied Mathematics (MF Track)
co-adviser: Dr. Rachelle R. Sambayan - Russell Fitzgerald L. Santos, MS Applied Mathematics (NADE Track), M2 coursework in progress
co-adviser: Dr. Rachelle R. Sambayan - Aarhus M. Dela Cruz, MS Applied Mathematics (OA Track), M2 coursework in progress
co-adviser: Dr. Jose Ernie C. Lope - Lem Nathan C. Ereña, MS Applied Mathematics (NADE Track), M2 coursework in progress
co-adviser: Dr. Hirofumi Notsu (Kanazawa University, Japan)
Current Undergraduate Students
- Jeremiah Daniel A. Regalario, BS Mathematics
- Patrick D. Zuñiga, BS Mathematics
- Aliza Marie M. Casimsiman, BS Mathematics
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Former DOST-CIP Fellow
- Marian T. Cantal, MS Graduate Fellow in Applied Mathematics
Assigned Project: “Computational Framework based on a Level Set Formulation for Multiphase Systems”, April 2024 – July 2025
Former Graduate Students
- Jose Aries B. De Los Santos, MS Applied Mathematics (OA Track), S1 2024-25
Thesis: “Perturbed Accelerated Gradient Method with Adaptive Learning Rate”
co-adviser: Dr. Renier Mendoza - Marian T. Cantal, MS Applied Mathematics (NADE Track), S2 2022-23
Excellence in Graduate Studies Award
Thesis: “Serrin-type overdetermined boundary problem via level set method“ - Ken Matthew C. Oliva, MS Applied Mathematics (OA Track), S2 2022-23
Thesis: “Numerical simulation of the 2020 Taal volcanic ash dispersion”
co-advisers: Dr. Arrianne Crystal Velasco, Dr. Renier G. Mendoza - Kurt Izak M. Cabanilla, MS Applied Mathematics (OA Track), S1 2022-23
Excellence in Graduate Studies Award
Thesis: “Approximation spaces of deep neural networks with ReLU powers”
co-adviser: Dr. Jose Ernie C. Lope - Paul Gabriel E. Lerona, MS Chemical Engineering, S1 2022-23
Thesis: “Simulation of solidification of titanium-base binary alloy using phase-field modeling”
co-adviser: Dr. Bryan G. Alamani (UP Department of Chemical Engineering)
Former Undergraduate Students
- Ronmykel Angelo M. Paglinawan, BS Mathematics, Midyear 2025
Thesis: “A Mathematical Model for Inflammation Propagation based on a Reaction-Diffusion System”
co-adviser: Dr. Gervy Marie Angeles - Maxine T. Darvin, BS Mathematics, S2 2024-25
Thesis: “Spatiotemporal Analysis of Pestalotiopsis Infection in Basilan Rubber Plantations using Remote Sensing and Random Forest“ - Lem Nathan C. Ereña, BS Mathematics, S2 2023-24
Thesis: “Markov Chain Monte Carlo Approximation of Volume-preserving Mean Curvature Flow and Its Application to Cell Sorting“ - Vince Patrick L. Roque, BS Mathematics, S2 2022-23
Thesis: “Solving Ordinary Differential Equations: An Artificial Neural Network Approach“ - Rachel Noelle D. Carrido, BS Mathematics, Midyear 2022
Magna Cum Laude
Thesis: “A Total Variation Approach to Image Inpainting“
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Teaching
Current Courses:
- Math 171 : Introduction to Numerical Analysis
- Math 209.1 : Selected Topics in Applied Mathematics
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Previous Courses Taught (UP Diliman):
As Faculty Member of the Institute of Mathematics
- Math 296 : Graduate Seminar
- Math 271.1 : Numerical Analysis I
- Math 227 : Calculus of Variations
- Math 209.1 : Selected Topics in Applied Mathematics
- Math 171 : Introduction to Numerical Analysis
- Math 122 : Differential Equations and Applications
- Math 21 : Elementary Analysis I
As Affiliate Faculty Member of the CS Data Science Program
- DS 397 : Advanced Mathematical Methods in Data Science
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EXTENSION ACTIVITIES
- Resource Person on Mathematical Modeling, Summer Upgrading Program for Mathematics Teachers (SUPMaT 2025), 2-4 June 2025, Zamboanga City, Philippines
- Resource Person, Data Science Workshop of the UP Diliman Mathematics Foundation, Inc., April 14-15, 2025, Institute of Mathematics, UP Diliman
- Resource Person, Training and Workshop on Python Programming and Numerical Methods: An Introduction to Numerical Linear Algebra and Differential Equations, 29-31 January 2025, 2F CCE Building, Visayas State University
- Resource Person, Linear Systems and Applications: A Hands-on Python Workshop, 23-25 May 2024, CSRC, UP Diliman
- Member, Scientific Committee, CoMaDS 2025: International Workshop on Computational and Mathematical Methods in Data Science, 3-5 April 2025, Boracay, Philippines
- Organizer, SEAMS School Manila 2023: Scientific Computing for Differential Equations and Applications, 22 November – 01 December 2023, Institute of Mathematics, UP Diliman
- Organizer, UP World Experts Lecture Series 2023: Interface Evolution Problems, 24 November 2023, Institute of Mathematics, UP Diliman
- Organizer, KU-UPD Joint Seminar on Numerical Analysis and Scientific Computing, 16 October 2023, Online via Zoom
- Member, Local Organizing Committee, SEAMS School Manila 2022: Modern Trends in Signal and Data Processing, 5-13 December 2022, Institute of Mathematics, UP Diliman
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Publications
- K.I. Cabanilla, R. Mohammad, and J.E. Lope (2024). Neural Networks with ReLU Powers Need Less Depth. Neural Networks 172, 106073. doi: 10.1016/j.neunet.2023.12.027
- R.A. Escosio, O. Cawiding, B. Hernandez, R. Mendoza, V.M. Mendoza, R. Mohammad, C. Pilar-Arceo, P.K. Salonga, F.L. Suarez, P. Sy, T.H. Vergara, A. de los Reyes (2023). A model-based strategy for the COVID-19 vaccine roll-out in the Philippines, Journal of Theoretical Biology 573, 111596. https://doi.org/10.1016/j.jtbi.2023.111596
- R. Mohammad, H. Murakawa, K. Švadlenka, 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
- N. Shofianah, K. Švadlenka, and R. Mohammad (2017). Numerical method for the simulation of contact angle dynamics. AIP Conf. Proc. 1913, 020020. https://doi.org/10.1063/1.5016654
- R. Mohammad and K. Švadlenka (2015). Multiphase volume-preserving interface motions via localized signed distance vector scheme. Discrete and Continuous Dynamical Systems – S 8 (5), 969–988. doi: 10.3934/dcdss.2015.8.969.
- N. Shofianah, R. Mohammad, and K. Švadlenka (2015). Simulation of triple junction motion with arbitrary surface tensions. IAENG International Journal of Applied Mathematics 45 (3), 235–244. https://www.iaeng.org/IJAM/issues_v45/issue_3/IJAM_45_3_09.pdf
- R. Mohammad and K. Švadlenka (2014). On a penalization method for an evolutionary free boundary problem with volume constraint. Advances in Mathematical Sciences and Applications 24 (1), 85–101. https://mcm-www.jwu.ac.jp/~aikit/AMSA/current.html#fh5co-tab-feature-vertical11.
- R. Mohammad and N. N. Reyes (2010). Strong annihilation of some closed Hilbert subspaces. Mindanawan Journal of Mathematics vol. 1, pp. 85–94.
For a complete list of journal articles and conference proceedings, visit:
- ORCID: https://orcid.org/0000-0002-9803-4350
- Google Scholar: https://scholar.google.com/citations?user=mnlCvv4AAAAJ&hl=en&authuser=1
- MathScinet: https://mathscinet.ams.org/mathscinet/MRAuthorID/1099553
- Web of Science: https://www.webofscience.com/wos/author/record/ABB-7283-2020
- Scopus: https://www.scopus.com/authid/detail.uri?authorId=56715255900
- K.I. Cabanilla, R. Mohammad, and J.E. Lope (2024). Neural Networks with ReLU Powers Need Less Depth. Neural Networks 172, 106073. doi: 10.1016/j.neunet.2023.12.027
