CV

Phi Hoang TRAN

hoang-phi.tran@insa-rennes.fr łinkedin{hoang-phi-tran} (+33) 7 58 41 68 95 Rennes, France PhiLNNT philnnt.github.io/

Education

Ph.D. student in Applied Mathematics

INSA Rennes & INRIA
  • Dissertation: Hamilton-Jacobi equations on networks and applications to population dynamics and connected micro-environments
  • Research unit: IRMAR - UMR CNRS 6625

Master 2 in Applied Mathematics

University of Tours (Vietnam–France track)
  • Master's degree program: Master Franco - Vietnamien de Mathématiques Appliquées (MFVMA)
  • Ranked 1st (Excellent) — CPA: 18.15/20

Bachelor of Science in Mathematics Teacher Education

Ho Chi Minh City University of Education (HCMUE)
  • Honors program
  • Graduated with excellent rank — CPA: 3.6/4.0

Research Interests

PDEs and numerical analysis, optimization, convex and variational analysis, machine learning and applications

(Pre)Publications & Communications

Preprint

IRMAR & INSA Rennes
  • {Aris Daniilidis, Mounir Haddou, Tri Minh Le, Olivier Ley, and {Phi Hoang Tran}. Solving Nonlinear Absolute Value Equations. Preprint, arXiv:2402.16439 [math.OC], 2026. (Submitted)}

Accepted oral communication in a national congress

IRMAR & INSA Rennes
  • Talk: Solving Nonlinear Absolute Value Equations

Accepted poster communication in a national congress

IRMAR & INSA Rennes
  • Poster: Convergence Rates For Non-degenerate Elliptic PDEs On Junctions With Kirchhoff Conditions

Research Experience & Projects

Master 2 Internship

IRMAR & INSA Rennes
  • Master 2 Thesis: Complementarity problems and absolute value equations: Analysis and comparison of numerical methods
  • Advisors: Prof. Mounir Haddou and Prof. Dominique Monnet
  • Abstract: We analyse and compare several numerical approaches and also consider generalizations of linear absolute value problems to nonlinear ones.

Master 2 Projects

HCMC University of Science (HCMUS)
  • Comparison of opmitization methods: Studied and compared a range of optimization algorithms including (proximal) gradient descent, the (proximal) heavy ball method, ISTA, and FISTA.
  • Modelisation and scientific computing: Implemented 1D finite difference and 2D finite element methods to solve PDEs applied to mechanical problems.

Graduation Thesis

HCMC University of Education
  • Thesis: Subgradient Method and ApplicationsGrade: 10/10
  • Advisors: Prof. Tran Ba Dat and Prof. Pham Duy Khanh
  • Abstract: The thesis studies the convergence analysis of different variants of Shor’s subgradient method. The algorithms are then applied to solve Lasso regression and Convex clustering problems with real data sets via Python.

Scientific Project

HCMC University of Education
  • Topic: Projection Methods for Solving Generalized Monotone Variational Inequalities
  • Advisor: Prof. Pham Duy Khanh
  • Third prize in Scientific Research Conference for Undergraduates in academic year 2021–2022.
  • Abstract: We studied the theory of generalized monotone variational inequalities and projection methods for solving them.

Summer School Project (for selected students)

HCMC University of Education
  • Topic: Linear Support Vector Machines
  • Advisor: Prof. Tran Thai An Nghia
  • Abstract: We trained and tested a linear SVM model based on two real data sets by using the subgradient method as well as writing and solving its dual problem.

Selected Scientific Events Attended (or to attend)

Structure-Preserving Algorithms and Geometric Numerical Integration school

Granted Participant

Teaching Experience

Mathematics Teacher

Thang Tien Thang Long Education JSC
  • Taught Pre-Calculus and Geometry to high school students.
  • Managed lesson planning, organized learning activities, and provided academic support.
  • Participated in weekly mathematics and pedagogy training with a professional team.

Teaching Intern of Mathematics

Trung Phu High School
  • Taught Pre-Calculus and Geometry to high school students.
  • Managed the learning procedure, prepared lesson plans, and supported students.

Teaching Intern of Mathematics

Truong Chinh High School
  • Taught Pre-Calculus and Geometry; developed lesson plans and organized learning sessions.

Honors and Awards

Young Researchers Grant for Recent Developments in Analysis and PDEs (APDE 2026) workshop, Romania.

VIASM Travel Grants for SEAMS School 2026 (covered travel and stay), in 2026.

SPEGEO Travel Grant for participating in SPEGEO, France.

SEMES 2026 Travel Grant for participating in SEMES 2026, France.

VIASM Travel Grant for Mini-course on inverse problems (covered travel and stay), in 2025.

HCMUS Travel Scholarship covered round trip Vietnam–France for internship at a French institution (2025).

HCMUS Excellence Scholarship awarded to Master’s students with average grade over 18/20 (2024–2025).

HCMUS Entrance Scholarship granted for outstanding performance in the Master’s entrance interview (2024).

HCMUE Excellence Scholarship for the top 3% of students (2 times in 2020–2021 and 2022–2023).

Third prize in HCMUE Scientific Research Conference for Undergraduates (2021–2022).

First prize in City-Level Mathematics Competition for Excellent 12th Grade Students, Ho Chi Minh City (2018).

Technical Skills

Programming/Tools
Matlab, Python, RStudio, FreeFEM++, ŁaTeX

Language Proficiencies

Vietnamese
Native
English
Fluent (IELTS 7.0)
French
Beginner

People