University of Georgia

A website from the College of Agricultural and Environmental Sciences

Food Microbiology and Risk Assessment Lab

UGA Athens Campus

Conference Talks

  1. Mishra. A. Getting floured by E. coli: risk assessment and mitigation. International Association for Food Protection (IAFP) Annual Meeting, Pittsburgh, Pennsylvania; August 1, 2022.
  2. Mishra. A. Recent advances in control of Bacillus spp. – A pathogen of renewed concern.
    International Association for Food Protection (IAFP) Annual Meeting, Pittsburgh, Pennsylvania; August 2, 2022.
  3. Xu X., Rothrock, M. J. Jr., Mishra. A. & Dev Kumar, G. Using E. coli Population to Predict Foodborne Pathogens in Pastured Poultry Farms. International Association for Food Protection (IAFP) Annual Meeting, Pittsburgh, Pennsylvania; August 1, 2022.
  4. Xu X., Rothrock, M. J. Jr., Mishra. A. & Dev Kumar, G. The association between pastured poultry-related microbiomes and Campylobacter presence. International Association forFood Protection (IAFP) Annual Meeting, Pittsburgh, Pennsylvania; July 31, 2022.
  5. Xu X., Rothrock, M. J. Jr., Mishra. A. Comparison between LASSO and Classificationand Regression Tree for predicting of E. coli Prevalence in Pasture Poultry Farms.Sustainable Approaches in Food Engineering and Technology (SAFETy) Virtual Meeting.June 24, 2021.
  6. Xu X., Rothrock, M. J. Jr., Mishra. A. Comparison between LASSO and Classificationand Regression Tree for predicting of E. coli Prevalence in Pasture Poultry Farms.International Association for Food Protection (IAFP) Annual Meeting, Phoenix, ArizonaJuly 19, 2021.
  7. Dev Kumar. G., Macarisin, D., Mishra. A., Dunn, L. Sunlight affects both viability anddie-off of Salmonella and Escherichia coli. International Association for Food Protection(IAFP) Annual Meeting, Phoenix, Arizona July 18, 2021.
  8. Xu X., Rothrock, M. J. Jr., Mishra. A. Comparison between LASSO and Classificationand Regression Tree for predicting of E. coli Prevalence in Pasture Poultry Farms. ChineseAssociation for Food Protection in North America (CAFPNA) Annual Virtual Meeting.July 20, 2021.
  9. Xu X., Rothrock, M. J. Jr., Mishra. A. Comparison between LASSO and Classificationand Regression Tree for predicting of E. coli Prevalence in Pasture Poultry Farms. GeorgiaAssociation for Food Protection (GAFP) Fall Virtual Meeting. October 19, 2021.
  10. Oguadinma, I.C., Mishra A., Kumar G.D. Antibiotic Resistance Influences the Growthand Biofilm Formation in E. coli O157:H7. International Association for Food Protection(IAFP) Annual Meeting (Virtual), October 27, 2020.
  11. Kumar, G. D., Mishra, A., Diez-Gonzalez, F., Macarisin, D. Wax On! Pathogen Off!International Association of Food Protection. Virtual Meeting. 2020.
  12. Golden, C. E., Rothrock, M. J. Jr., Mishra. A. Comparison between random forest andgradient boosting machine methods for predicting Listeria spp. prevalence in the environment of pastured poultry farms. Georgia Association for Food Protection (GAFP)Fall Meeting, Griffin, GA. September 26, 2019.
  13. Kumar, G. D., Solval, K. M., Mishra, A., Macarisin, D. Surfactant Type Plays an Important Role in Antimicrobial Efficiency. International Association of Food Protection.Kentucky. 2019.
  14. Golden, C. E., Juneja, V. K., Mishra, A., Harrison, M.A., Mohr, T., Silverman, M.Predictive Model for Growth of Bacillus cereus during cooling of cooked rice. Georgia Association for Food Protection (GAFP) Fall Meeting, Atlanta, GA. September 26, 2019.
  15. Mishra, A., and Pradhan, A. K. Development of a system model to predict the impact of pre-harvest contamination sources on a possible leafy greens related E. coli O157: H7 outbreak. International Association for Food Protection (IAFP) Annual meeting, St. Louis,Missouri; August 5, 2016.
  16. Guo, M., Mishra, A., Buchanan, R. L., Dubey, J. P., Hill, D., Ray Gamble, H., and Pradhan, A. K. Quantifying the risk of human Toxoplasma gondii infection through consumption of domestically produced lamb in the United States. International Association for Food Protection (IAFP) Annual meeting, St. Louis, Missouri; August 4, 2016.
  17. Mishra, A., and Pradhan, A. K. Development of growth-survival models for S. enterica
    and L. monocytogenes during non-isothermal time-temperature profiles in leafy greens.
    Inverse Problems Annual meeting, Lexington, Virginia; June 20, 2016.
  18. Mishra, A., and Pradhan, A. K. Modeling to understand the seasonality effect on leafy greens related disease outbreaks. American Society of Agricultural and Biological Engineers (ASABE) Annual meeting, Orlando, Florida; July 27, 2016.
  19. Mishra, A., and Pradhan, A. K. Cost, quality, and safety: Temperature optimization for leafy greens using nonlinear programming technique. 9th International Conference on Predictive Modeling in Food, Rio de Jeneiro, Brazil; September 14, 2015.
  20. Mishra, A., and Pradhan, A. K. Development of a graphical-user interface to optimize the temperature for the supply chain of leafy greens using nonlinear programming. International Association for Food Protection (IAFP) Annual meeting, Portland, Oregon; July 31, 2015.
  21. Mishra, A., Lambertini, E., and Pradhan, A. K. Utilization of nonlinear programming approach to optimize the temperature for the supply chain of leafy greens keeping cost, quality, and safety. Society for Risk Analysis (SRA) Annual meeting, Denver, Colorado; December 11, 2014.