LVT
Le Van Truong
06 · About & Academic Background

Turning Mathematical Rigor into Evaluated, Trustworthy AI Systems.

I am an undergraduate AI researcher and engineer in the Honors Program in Information Technology at the University of Science, Vietnam National University Ho Chi Minh City (VNU-HCM), where I maintain a 9.50/10.0 GPA (with 10.0/10.0 in Probability & Statistics and Calculus 2B).

My path in computer science began at Hung Vuong High School for the Gifted in Gia Lai, where I specialized in Informatics, won First Prize in the Gia Lai Provincial Excellent Student Contest in Informatics (Grade 12 Table A), and co-founded the HV TechG+ Informatics Club. Entering VNU-HCM University of Science in 2023 as a VietSeeds Foundation Scholar and 100% Tuition Merit Scholar, I focused on the intersection of mathematical foundations, information retrieval, and trustworthy machine learning.

Across my research at SELab (HCMUS — multimedia lifelog retrieval at ACM ICMR LSC '26, rPPG physiological sensing at ICMV '26, and biometric privacy at FDSE '26), AITHENA Lab (HCMUS — automated fact verification at KES '26, NLP, and legal LLM reasoning diagnostics at FJCAI '26), and the VNG – Saigon AI Hub Applied AI Lab, I investigate a unifying question: how can AI systems retrieve, verify, and reason over complex multimodal or structured evidence without succumbing to surface-level shortcuts?

Beyond research and system engineering, I actively contribute to the academic and student community. I won Champion at both the HCMUS Student Leadership Competition (2023) and the Faculty of IT Leadership Competition (2024), organized AI talkshows and academic review programs for hundreds of students, represented the VNU system as an International Academic Delegate at the ASEAN University Network (AUN) Summer Camp at De La Salle University (Philippines, July 2025) and the NUS Asian Undergraduate Symposium & REGEN Asia Summit (Singapore, July 2025), and completed ten voluntary blood donations between 2024 and 2026.

Le Van Truong presenting at VNG – Saigon AI Hub Applied AI Lab Demo Day 2026
RESEARCHER DOSSIER

Le Van Truong

Published as: Van-Truong Le · Lê Văn Trường

PRIMARY INSTITUTION
University of Science, Vietnam National University Ho Chi Minh City (VNU-HCM)
ACADEMIC PROGRAM
Faculty of Information Technology — Honors Program (23CNTN)
RESEARCH LABORATORIES
SELab & AITHENA Lab (HCMUS) · VNG – Saigon AI Hub (Applied AI Lab Batch 1)
CUMULATIVE GPA
9.50 / 10.0 (Honors Program)
ORCID IDENTIFIER
0009-0008-7015-7392
EDUCATION

Education & Coursework

Sep 2023 – Present (Expected 2027)GPA: 9.50 / 10.0

University of Science, Vietnam National University Ho Chi Minh City (VNU-HCM)

Bachelor of Science in Information Technology — Honors Program in Information Technology (Cử nhân Tài năng — 23CNTN)

  • ·Cumulative GPA: 9.50/10.0 across intensive Honors IT mathematical and computer science curriculum.
  • ·Recipient of 100% Tuition Waiver and Academic Merit Scholarships across consecutive semesters (2023–2026).
  • ·Named to the Faculty of Information Technology Golden Achievement Board (Bảng vàng thành tích Khoa CNTT) in 2024 and 2025.
  • ·Member of the HCMUS ICPC Competitive Programming Team (2024) and Presenter at the 3rd HCMUS Young Scientists Conference (2026).
Verified Core Mathematical Coursework Scores
Probability and Statistics10.0 / 10
Calculus 2B10.0 / 10
Discrete Mathematics9.7 / 10
Applied Mathematics and Statistics9.6 / 10
Linear Algebra9.3 / 10
Sep 2020 – May 2023GPA: 9.7 / 10.0 (Grade 12)

Hung Vuong High School for the Gifted, Gia Lai

High School Diploma — Specialized in Computer Science (Chuyên Tin học) — Specialized Informatics Track (Class C8)

  • ·Top Student in Class (Học sinh giỏi nhất lớp) for three consecutive academic years (2020–2021, 2021–2022, 2022–2023).
  • ·First Prize in the Gia Lai Provincial Excellent Student Contest in Informatics (Grade 12 Table A, 2022–2023) & Member of the Provincial National Olympiad Training Team.
  • ·Third Prize in Hue-ICT Challenge Pro Track (2023) and Third Prize in the Regional National Youth Informatics Contest (2023).
  • ·Co-founder of HV TechG+, the school's computer science and technology club.
RESEARCH APPROACH

Four Principles Guiding My Work

PRINCIPLE 01

Evidence-Grounded Reasoning

Standard dense embeddings compress complex claims into flat vectors that blur crucial factual predicates, dates, and temporal order. My primary research replaces surface similarity with structured evidence grounding: temporal Event Knowledge Graphs (ChronoSeek), retriever-aligned hard negative cross-encoders (SemEval/KES '26), and provenance-aware expert routing (GraphCURE).

PRINCIPLE 02

Diagnostic Failure Analysis

High benchmark averages frequently hide systematic reasoning collapses. Across 5,922 Vietnamese legal statute questions and 300 expert-graded essays (FJCAI '26), we categorized 7 distinct failure modes—showing that models with strong multiple-choice accuracy still hallucinate abrogated statutes in open-ended legal reasoning.

PRINCIPLE 03

Hybrid Analytical + Learned Priors

Domain priors—such as graph Laplacian Fiedler vectors in road disruption estimation (ResiliRoad) or facial skin masks in remote photoplethysmography (SKIA)—accelerate learning when aligned with the signal, but can hurt when violated. I design gated residual architectures that adaptively down-weight analytical priors.

PRINCIPLE 04

Research-to-Engineering Integration

Research ideas only prove their worth when they survive real-world system constraints: sub-6 ms Neo4j graph queries under a live 4-minute competition clock at ACM ICMR LSC '26, 124 FPS two-stage video anomaly detection, and deterministic Zenodo evaluation harnesses.

TECHNICAL CAPABILITIES MATRIX

Skills Mapped to Evaluated Systems

Rather than arbitrary percentage bars, every technical capability is anchored to concrete systems, publications, and experimental pipelines in this portfolio.

01 · CAPABILITY DOMAIN

Information Retrieval & RAG

PythonMilvus (IVF-SQ8 / IVF-PQ)FAISSNeo4j & CypherBM25LLangGraph
APPLIED IN SYSTEMS & PAPERS:

ChronoSeek (ACM ICMR LSC '26) · Multilingual Fact-Checking (KES '26) · ViMELD Legal Retrieval · Global Tech 100K-News RAG

02 · CAPABILITY DOMAIN

NLP, LLMs & Speech AI

TransformersSentence-TransformersMultilingual-E5BGE-M3PhoRankerQwen2.5-VLwav2vec2
APPLIED IN SYSTEMS & PAPERS:

SemEval-2025 Fact-Checking Reranker · Vietnamese Legal LLM Evaluation (FJCAI '26) · ViProDID 63-Province Dialect MoE · CrisisX VR

03 · CAPABILITY DOMAIN

Graph Machine Learning & Network Science

PyTorchGCN / GraphSAGE / Edge-MPNNGATNetworkXOSMnxSciPy Sparse Eigensolvers
APPLIED IN SYSTEMS & PAPERS:

ResiliRoad Spectral-Prior Graph Learning (13 OSM Networks) · ViMELD Citation Graph

04 · CAPABILITY DOMAIN

Computer Vision & Signal Processing

PyTorchOpenCV3D-CNNYOLOv8nRexNet-150SwinIRNBIS (MINDTCT / Bozorth3)FFT / rPPG
APPLIED IN SYSTEMS & PAPERS:

SKIA Motion-Robust rPPG (ICMV '25) · FLeX Fingerprint Privacy (FDSE '25) · Two-Stage Exam Cheating Detection (FJCAI '26)

05 · CAPABILITY DOMAIN

Statistical Evaluation & Reproducibility

Hierarchical BootstrapWilcoxon Signed-RankCohen's KappaAblation PipelinespytestDockerGit / Linux
APPLIED IN SYSTEMS & PAPERS:

Area-Clustered OSM Inference · Paired-Bootstrap Routing Validation (GraphCURE) · Training-Free Fact Verification Cache