Nodali Ndraha, Ph.D

Nodali Ndraha is an active researcher who has contributed to multiple peer-reviewed publications in prominent international journals since 2017. His work appears in reputable journals, including Comprehensive Reviews in Food Science and Food Safety, Food Control, Food Microbiology, Foods, Microbial Risk Analysis, and others, frequently as first author. Most of his publications are indexed in databases including the Web of Science Core Collection and Scopus and have received scholarly citations.

He also have presented research at scientific conferences such as IAFP’s European Symposium on Food Safety, sharing findings with the global food safety community. His work advances critical understanding in food science and microbial risk analysis.

Through his research, he has explored pathogen behavior in foods like tilapia, oysters, lettuce, and alfalfa sprouts, hoping to guide effective control strategies. His approach combines tools like PCR, predictive microbiology, QMRA, and machine learning to address microbial risks and climate change impacts. As a Principal Investigator, He hope to continue refining pathogen detection, developing AI-driven risk models, and supporting climate-resilient food safety strategies to contribute, in my small way, to public health and food security.

• Advanced Pathogen Diagnostics, focus on developing and advancing molecular techniques for the rapid and sensitive detection of foodborne pathogens
• Predictive Modeling & QMRA, utilize mathematical models and quantitative microbial risk assessment (QMRA) to forecast microbial behavior and assess health risks.
• Climate Change & Food Safety, investigate the impact of climate change on the ecology of foodborne pathogens, particularly in marine environments.

• Preventive Controls Qualified Individual (ID 40a3b6ec) yang diselenggarakan oleh Food Safety Preventive Controls Alliance (FSPCA)
• Training on the Food Safety Management System based on ISO 22000:2018, Good Manufacturing Practice (GMP), Hazard Analysis and Critical Control Points (HACCP), and Sanitation Standard Operating Procedure (SSOP).

• Ndraha, N., & Hsiao, H.-I. (2025). A comparison of machine learning models for predicting Vibrio parahaemolyticus in oysters. Microbial Risk Analysis. In press.
• Ndraha, N., Lin, C. H., Goh, A. P., Tran, G. D., Su, L.-M., Huang, C. L., Chen, C.-Q., Tsai, S.-J., & Hsiao, H.-I. (2024). Assessment and validation of predictive growth models for locally isolated Salmonella enterica and Listeria monocytogenes in alfalfa sprouts at various temperatures. Journal of Food Safety, 44(3), e13171.
• Ndraha, N., Lin, H. Y., Hsiao, H. I., & Lin, H. J. (2024). Managing the microbiological safety of tilapia from farm to consumer. Comprehensive Reviews in Food Science and Food Safety, 23(1), 1–25.
• Lin, H.-Y., Su, B.-Y., Ndraha, N., Tsai, S.-F., Chiang, K.-P., Liu, H.-Y., Kang, Y.-T., Yeh, W.-Y., Tsao, C.-C., Chen, Y.-M., Hsiao, H.-I., & Lin, H.-J. (2023). Growth-promoting and low-salt adaptation responses boosted by spermidine in Strombidium parasulcatum, a marine bacteriovorous ciliate potentially applied to live feeds for marine larviculture. Aquaculture, 573, 739616.
• Ndraha, N., Lin, H.-Y., Lin, H.-J., & Hsiao, H.-I. (2023). Modeling the risk of Vibrio parahaemolyticus in oysters in Taiwan by considering seasonal variations, time periods, climate change scenarios, and post-harvest interventions. Microbial Risk Analysis, 25, 100275.
• Ndraha, N., Lin, H.-Y., Wang, C.-Y., Hsiao, H.-I., & Lin, H.-J. (2023). Rapid detection methods for foodborne pathogens based on nucleic acid amplification: Recent advances, remaining challenges, and possible opportunities. Food Chemistry: Molecular Sciences, 7, 100183.
• Ndraha, N., Lin, H.-Y., Tsai, S.-K., Hsiao, H.-I., & Lin, H.-J. (2023). The rapid detection of Salmonella enterica, Listeria monocytogenes, and Staphylococcus aureus via polymerase chain reaction combined with magnetic beads and capillary electrophoresis. Foods, 12(20), 3895.
• Wang, C.-Y., Ndraha, N., Wu, R.-S., Liu, H.-Y., Lin, S.-W., Yang, K.-M., & Lin, H.-Y. (2023). An overview of the potential of food-based carbon dots for biomedical applications. International Journal of Molecular Sciences, 24(23), 16579.
• Lin, H.-T. V., Ting, Y.-S., Ndraha, N., Hsiao, H.-I., & Sung, W.-C. (2022). Effect of chitosan incorporation on the development of acrylamide during Maillard reaction in fructose–asparagine model solution and the functional characteristics of the resultants. Polymers, 14(8), 1565.
• Ndraha, N., & Hsiao, H.-I. (2022). A climate-driven model for predicting the level of Vibrio parahaemolyticus in oysters harvested from Taiwanese farms using elastic net regularized regression. Microbial Risk Analysis, 21, 100201.
• Ndraha, N., Goh, A. P., Tran, G. D., Chen, C.-Q., & Hsiao, H.-I. (2022). Predictive models for the growth of Salmonella spp., Listeria spp., and Escherichia coli in lettuce harvested on Taiwanese farms. Journal of Food Science, 87(8), 3599–3610.
• Ndraha, N., Huang, L., Wu, V. C. H., & Hsiao, H.-I. (2022). Vibrio parahaemolyticus in seafood: Recent progress in understanding influential factors at harvest and food-safety intervention approaches. Current Opinion in Food Science, 48, 100927.
• Ndraha, N., & Hsiao, H.-I. (2021). Influence of climatic factors on the temporal occurrence and distribution of total and pathogenic Vibrio parahaemolyticus in oyster culture environments in Taiwan. Food Microbiology, 98, 103765.
• Ndraha, N., Hsiao, H.-I., Hsieh, Y.-Z. Z., & Pradhan, A. K. (2021). Predictive models for the effect of environmental factors on the abundance of Vibrio parahaemolyticus in oyster farms in Taiwan using extreme gradient boosting. Food Control, 130, 108353.
• Ndraha, N., Wong, H.-C., & Hsiao, H.-I. (2020). Managing the risk of Vibrio parahaemolyticus infections associated with oyster consumption: A review. Comprehensive Reviews in Food Science and Food Safety, 19(3), 1187–1217.
• Ndraha, N., Sung, W.-C., & Hsiao, H.-I. (2019). Evaluation of the cold chain management options to preserve the shelf life of frozen shrimps: A case study in the home delivery services in Taiwan. Journal of Food Engineering, 242, 21–30.
• Ndraha, N., & Hsiao, H.-I. (2019). Exposure assessment and sensitivity analysis for chilled shrimp during distribution: A case study of home delivery services in Taiwan. Journal of Food Science, 84(4), 859–870.
• Ndraha, N., & Hsiao, H.-I. (2019). The risk assessment of Vibrio parahaemolyticus in raw oysters in Taiwan under the seasonal variations, time horizons, and climate scenarios. Food Control, 102, 188–196.
• Ndraha, N., Hsiao, H.-I., Vlajic, J., Yang, M.-F., & Lin, H.-T. V. (2018). Time-temperature abuse in the food cold chain: Review of issues, challenges, and recommendations. Food Control, 89, 12–21.
• Ndraha, N., & Hsiao, H.-I. (2017). Comparative study of imported food control systems of Taiwan, Japan, the United States, and the European Union. Food Control, 78, 331–341.