Scientific research
Practical questions, rigorous models.
How can Vietnamese businesses forecast and decide better when data is scarce? Every line of her research starts from that question.
Research areas
Four directions, one question.
Grey forecasting
GM(1,1), Grey Verhulst and hybrid models for short, uncertain data series.
Agricultural supply chains
Coffee, sugarcane, seafood: supplier selection, efficiency, strategic alliances.
Logistics & sustainability
The efficiency and sustainability of logistics companies, from Vietnam to Europe.
Digital consumer behaviour
E-payment among household retailers, impulsive buying in livestreams, waste-sorting behaviour.
Methods
The tools she uses.
Grey models GM(1,1) and Grey Verhulst
Forecasting from series of only four or five data points: rainfall, coffee output, sugar mill performance.
SBM data envelopment analysis (DEA)
Measuring company efficiency and simulating strategic alliances in logistics and seafood.
Hybrid grey theory for decision-making
Choosing suppliers when criteria are many and information is incomplete, as in the coffee industry.
Stacked hybrid ensembles
Combining several forecasting models to estimate demand when data is volatile — the approach of the 2025 First Prize project.
Research with students
From a first question to First Prize.
She supervises VNU International School students in scientific research: asking questions, cleaning data, doubting their own results. In 2025 the student team she supervised won First Prize at the 18th Student Scientific Research Conference.
Collaborators
Collaboration at home and abroad.
Taiwan
With Chia-Nan Wang and Min-Chun Yu since her doctoral years in Kaohsiung: grey forecasting, logistics, the coffee supply chain.
Vietnam
With colleagues in Vietnam on e-payment, rainfall forecasting and the waste-sorting behaviour of Hanoi pupils.
16 publications, since 2013.
9 international journal articles, including Applied Economics and Sustainability (SSCI).