RESEARCH INTERESTS
Lester received his Ph.D. in Agricultural Engineering from The Pennsylvania State University with specialization in food engineering. His research focuses on developing a basic understanding of the engineering properties of raw biomaterials (particularly grains) and products as well as characteristics of processes to design efficient processes and minimize undesirable changes due to processing. His research thrusts are in 1) understanding the effects of genetics, agronomic factors, and postharvest processing on engineering and functional properties of biomaterials, 2) improving process efficiencies and product quality through understanding of biomaterial physical and chemical properties, and 3) utilizing agricultural and food processing by-products in animal feed and industrial products. He was previously Senior Process Scientist with Archer Daniels Midland Company and Environmental Compliance/Regulatory Specialist with the Kansas Department of Health and Environment.
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RECENT PUBLICATIONS
| • Influence of ultrasound tempering on roller milling of white and sumac sorghum - (Peer Reviewed Journal) |
| • Potential of flatbed scanner for evaluation of flour samples for dark specks and flour color - (Peer Reviewed Journal) |
| Brabec, D.L., Grothe, S.M., Perez-Fajardo, M.A., Pordesimo, L.O., Yeater, K.M. 2024. Potential of flatbed scanner for evaluation of flour samples for dark specks and flour color. Cereal Chemistry. 101:508–517. https://doi.org/10.1002/cche.10758. |
| • Real-time stored product insect detection and identification using deep learning: System integration and extensibility to mobile platforms - (Peer Reviewed Journal) |
| Badgujar, C., Armstrong, P.R., Gerken, A.R., Pordesimo, L.O., Campbell, J.F. 2023. Real-time stored product insect detection and identification using deep learning: System integration and extensibility to mobile platforms. Journal of Stored Products Research. 104. Article 102196. https://doi.org/10.1016/j.jspr.2023.102196. |
| • Dry fractionation process operations in the production of protein concentrates: A review - (Peer Reviewed Journal) |
| Pulivarthi, M.K., Buenavista, R.M., Bangar, S.P., Pordesimo, L.O., Bean, S.R., Silveru, K. 2023. Dry fractionation process operations in the production of protein concentrates: A review. Trends in Food Science and Technology. 22(6):4670-4697. https://doi.org/10.1111/1541-4337.13237. |
| • Identifying common stored product insects using automated deep learning methods - (Peer Reviewed Journal) |
| Badgujar, C., Armstrong, P.R., Gerken, A.R., Pordesimo, L.O., Campbell, J.F. 2023. Identifying common stored product insects using automated deep learning methods. Journal of Stored Products Research. 103. Article 102166. https://doi.org/10.1016/j.jspr.2023.102166. |
| • Application of machine learning for insect monitoring in grain facilities - (Peer Reviewed Journal) |
| Mendoza, Q.A., Pordesimo, L.O., Nielsen, M.L., Armstrong, P.R., Campbell, J.F. 2023. Application of machine learning for insect monitoring in grain facilities. Artificial Intelligence. 4:348-360. https://doi.org/10.3390/ai4010017. |
| • Prediction of sorghum oil and kernel weight using near-infrared hyperspectral imaging - (Peer Reviewed Journal) |
| Mendoza, P.D., Armstrong, P.R., Peiris, K.H., Siliveru, K., Bean, S.R., Pordesimo, L.O. 2023. Prediction of sorghum oil and kernel weight using near-infrared hyperspectral imaging. Cereal Chemistry. 100(3):775-783. https://doi.org/10.1002/cche.10656. |
| • On farm storage of grain crops - (Peer Reviewed Journal) |
| Pordesimo, L.O., Casada, M.E., McNeill, S.G. 2023. On farm storage of grain crops. Smart Agricultural Technology. 17:1-13. https://doi.org/10.1007/978-3-030-89123-7_122-1. |
| • Potential of dimensional measurements of individual pellets for evaluating feed pellet quality - (Peer Reviewed Journal) |
| Pordesimo, L.O., Igathinathane, C., Bevans, B.D., Holzgraefe, D.P. 2023. Potential of dimensional measurements of individual pellets for evaluating feed pellet quality. Applied Engineering in Agriculture. 38(5):777-785. https://doi.org/10.13031/aea.14845. |
| • Estimating chalkiness in endosperm of typical and bleached durum kernels from transmission scanned images - (Peer Reviewed Journal) |
| Brabec, D.L., Pordesimo, L.O. 2022. Estimating chalkiness in endosperm of typical and bleached durum kernels from transmission scanned images. Applied Engineering in Agriculture. 38(4):651-658. https://doi.org/10.13031/aea.15023. |
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