Nguyễn Hoàng Tú Nhi
I am a Research Member at Invariant Lab. I completed my Bachelor's degree in Logistics and Supply Chain Management at the School of Industrial Engineering and Management, International University (VNU-HCM). My academic and industrial work combines E2E operations deployment with advanced predictive analytics, utilizing deep learning algorithms to optimize supply chains and diagnostics.
Academic & Professional Life Show
Global Logistics & Route Optimization Lab
This real-time simulator models global maritime and air freight routes connecting major Asian supply chain hubs, including Saigon (Cat Lai Terminal), Hong Kong, and Singapore. Choose your optimization heuristic, adjust vessel velocity, and trigger environmental challenges to analyze transit efficiency and dynamic re-routing behavior.
Featured Projects & Research
Machinery Fault Diagnosis Thesis
Developed a deep learning model for real-time fault diagnosis in rotating machinery. Co-authored and presented research on wavelet signal transformations and CNN classification systems at an IEEE International Conference (2024).
Machine Learning Demand Forecasting
Applied regression models and ensemble classifiers (Random Forest, XGBoost) to forecast bike rental demands. Handled coding support, data pre-processing, and telemetry integration to optimize fleet distribution.
IU Teaching Assistant Booking UI
Designed the full interactive front-end interface for the "Booking for Teaching Assistant in IU" web portal. Conducted user-experience research and arranged responsive grid layouts for students and faculty.
Milestones & Experiences
Operations & Analytics Foundation
Nguyễn Hoàng Tú Nhi has built a interdisciplinary foundation at the intersection of supply chain systems and deep learning. Completing her studies in Logistics and Supply Chain Management at International University (VNU-HCM), she quickly expanded her focus to operations research, machine learning, and predictive maintenance.
Her professional internships include coordinating end-to-end logistics deployments, calculating Sales Team KPIs, and managing warehouse dispatch workflows at top multinational companies like Mondelez International and CP World. Her ability to collaborate cross-functionally and optimize shipping routes makes her an invaluable asset to the lab's autonomous logistics and operations portfolios.
Under the guidance of the lab's core researchers, she continues to develop hybrid AI-metaheuristic optimization algorithms to solve complex routing and predictive diagnostics challenges.
Sales Coordinator & CS Specialist
Managed bookings, shipment routes (HKG, PKG, BKK, SHA, KEE), and Carrier coordinates at Cat Lai Terminal with 100% order accuracy.
Undergraduate Thesis & Publication
Authored "Detecting fault diagnosis in rotating machine" using CNNs, presented at an IEEE International Conference.
Operations Management Intern
Managed end-to-end transport dispatching with 3PL partners and analyzed logistics telemetry metrics.
Technical Skills & Toolsets
Supply Chain & Operations
- End-to-End Transport Logistics & 3PL Integration
- Warehouse Management Systems (WMS) & Telemetry
- KPI Calculation and Operations Data Quality Control
- Cross-functional Customer Relations Management