Joel L Cuello

Joel L Cuello

Professor, Agricultural-Biosystems Engineering
Professor, Applied BioSciences - GIDP
Professor, Arid Lands Resources Sciences - GIDP
Member of the Graduate Faculty
Professor, BIO5 Institute
Primary Department
Department Affiliations
Contact
(520) 621-7757

Research Interest

Joel Cuello, PhD, focuses his research on applying engineering to put biological systems to work. His collaborative research projects, which have been sponsored by DOE, NASA and USDA, among others, are divided into two major thrusts: Bioprocess Engineering and Controlled-Environment Engineering.With bioprocess engineering, Dr. Cuello’s concentrations are on design and scale up of bioreactors for production of biofuels and biochemicals from algae, plant cells and organs. Also, he explores the optimization of algae and cell-culture productivity through biochemical and environmental strategies. Also, he attends to wastewater treatment using algae, microbial mat and hydroponics.In regard to controlled-environment engineering, Dr. Cuello’s concentrations -- for both Earth and Space applications -- are on design of novel lighting systems, including hybrid solar-electric lighting systems, light-emitting diode arrays, and water-cooled high-intensity discharge lamps. He complements this work with trying to design bioproduction systems, including a hybrid hydroponics-and-aquaculture system.

Publications

Ubando, A. T., Aviso, K. B., Culaba, A. B., Cuello, J. L., El-Halwagi, M. M., Ng, D., & Tan, R. R. (2016). A fuzzy mixed-integer linear programming model for optimal design of polygeneration systems with cyclic loads. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 35(4), 1105-1112.
Cuello, J. L., Ubando, A., El-Halwagi, M., Culaba, A., Promentilla, A., & Tan, R. (2015). Application of Stochastic Analytic Hierarchy Process for Evaluating Algal Cultivation Systems for Sustainable Biofuel Production. Clean Technologies and Environmental Policy. doi:10.1007/s10098-015-1073-z

Ubando, A.T., Cuello, J.L., El-Halwagi, M.M., Culaba, A.B., Promentilla, M.A.B., Tan, R.R., (2015). Application of Stochastic Analytic Hierarchy Process for Evaluating Algal Cultivation Systems for Sustainable Biofuel Production. Clean Technologies and Environmental Policy. doi: 10.1007/s10098-015-1073-z. ISSN: 1618-9558.

Scholz, M., Hoshino, T., Johnson, D., Riley, M., & Cuello, J. (2011). Flocculation of wall-deficient cells of Chlamydomonas reinhardtii mutant cw15 by calcium and methanol.. Biomass and Bioenergy, 35(12), 4835-4841.
Cevera, J., Boussiba, S., Cuello, J., Duke, C., Efroymson, R., Golden, S., Holmgren, J., Johnson, D., Jones, M., Smith, V., Steiger, C., Stephanapoulos, G., Walker, L., Williams, E., & Zimba, P. (2012). Sustainable Development of Algal Biofuels in the United States. The National Academies Press: Washington, D.C., 231.
Ubando, A. T., Culaba, A. B., Aviso, K. B., Tan, R. R., Cuello, J. L., Ng, D., & El-Halwagi, M. M. (2016). Fuzzy mixed integer non-linear programming model for the design of an algae-based eco-industrial park with prospective selection of support tenants under product price variability. JOURNAL OF CLEANER PRODUCTION, 136, 183-196.