Contact Information

• ✏️ Personal Homepage: https://michaelwang.cloud

• 🏰 Google Scholar: Zhijun_Google Scholar

• 🙋‍♂️ Linkedin: Zhijun_Linkedin

• 📝 Github ZhijunWang

🍌Research Interest

• Food fraud, food authenticity and safety
• Food quality and instrument analysis
• chemomentrics

☕Work experience

• July 2023 - December 2024, Postdoc researcher in Food fraud and digital tech, University College Dublin, Ireland

👩‍🏫Education Background

• 2017-2022, PhD. in Food Fraud, Wageningen University & Research, the Netherlands

💪Research experience

• Going bananas (Dutch Top sector Agri & Food project): This project aims to develop discrimination models for the geographical origin and organic production of Bananas. Different data sets including the chemical compositions, NIR spectral, stable isotope ratios, hyperspectral images of bananas and rainfall, temperature, and fertilization types of farms were collected and analyzed. The principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA) and other related Machine Learning algorithms were used to built predicted models. Correlation analysis were also used to build the relations between the chemical compositions and the growing conditions of bananas.

• Watson Project (EU Horizon project): Project management, teamwork, data management; To access the food fraud vulnerability in six different supply chain and data analysis using Multiple factor analysis (MFA);To build the food fraud early warning system using Use multiple data sources: Historical accident data, social media, and other open data sources;To identify the origin of honey and olive oil using NIR and HSI.

• Tea polysaccharides: Extraction, isolation, purification of Tea polysaccharides, structural characterization such as molecular weight, monosaccharide composition, and antioxidant activity evaluation of polysaccharides.

⚒️Hand-in Data Science

• Proficient in Microsoft Office Suite, including Word, Excel, and PowerPoint.

• Strong knowledge of, and experience with SQL

• Data analyse and visualization using PowerBI.

• Statistical modelling based on R, Python, SAS and SPSS;

• Version control using Git & Github. (https://github.com/ZhijunWang1991)

• Developed a R package named wagedown, for writing a PhD thesis at Wageningen University and rendering those files in a PDF format.

• Website design (https://michaelwang.cloud).

📕Obtained certification in Data Science:

• Data analytics Nanodegree program (Python), Udacity.

• Data Scientist with R Track, DataCamp.

• Machine Learning Scientist with R Track, DataCamp.

• Data Visualization with R Track, DataCamp.

🌏 Conferences

• October 2024: The food fraud vulnerability assessment of EU supply chains. Oral presented at Watson workshop in “Synergy Days 2024”, Barcelona, Spain

• May 2024: The Watson approach to transparency and integrity. Oral presented at International Scientific Conference on “Global commodity chains from a risk assessment perspective”, Berlin, Germany

• May, 2024: A digital traceability framework in the agri-food supply chain. Oral presented at Food and Drink Science Member Interest Group Meeting, Online, UK

• November, 2023: A digital technology-based framework for preventing fraud in agri-food supply chains. Oral presented at 51st Annual Food Science and Technology Conference, Dublin, Ireland

• November,2020: The correlation analysis of banana composition and growing condition based on stable isotope and elemental analysis. Oral presented at china international food safety & quality conference 2020, Shanghai, China.

• November, 2019: Banana provenance: Correlation of growing conditions, stable isotopes and elemental compositions of Costa Rican bananas. Poster presented at the 33rd the European Federation of Food Science and Technology (EFFOST) international conference, Rotterdam,the Netherlands.

• March, 2019: Geographical features of bananas in Costa Rica and their stable isotope ratios and elemental compositions. Oral presented at the Benelux association of stable isotope scientists (basis) meeting, Texel, the Netherlands.

📜 Publications

You can check my whole Publications in Google Scholar:

The Selected Papers as 1st author:

1. Wang, Z. et al.(2022). “Going bananas: from risky businesses to latest authentication technologies.” XXXI International Horticultural Congress (IHC2022): XII International Symposium on Banana: Celebrating Banana Organic 1367. 2022.

2. Wang, Z. et al.(2021). Preliminary Study on Tracing the Origin and Exploring the Relations between Growing Conditions and Isotopic and Elemental Fingerprints of Organic and Conventional Cavendish Bananas (Musa spp.). Foods, 10, 1021.https://doi.org/10.3390/foods10051021

3. Wang, Z. et al.(2020). Linking growing conditions to stable isotope ratios and elemental compositions of Costa Rican bananas (Musa spp.). Food Research International, 129, 108882. https://doi.org/10.1016/j.foodres.2019.108882

4. Wang, Z. et al(2020). Study on the Relations between Hyperspectral Images of Bananas (Musa spp.) from Different Countries, Their Compositional Traits and Growing Conditions. Sensors, 20(20), 5793. https://doi.org/10.3390/s20205793

👨‍🏫Teaching experiences

• 2018-2023, Teaching assistant at Master Food fraud Course, Wageningen University, the Netherlands.

• 2023-2024, Guest Lecture at Master Food investigation Course, University College Dublin, Ireland

📅 Organization experiences

• The organising committee for Meat Science & Technology Inspiration Symposium 2022 in Wageningen, the Netherlands

• The Course Assistant for Virtual training course Comprehension of food fraud vulnerability 2022 in Wageningen, the Netherlands

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