José Acero
Professor Of Instruction at The University of Texas at San Antonio
San Antonio, Texas, United States
Summary
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Senior🎓
Top SchoolJosé Acero is a Professor of Instruction and wind energy specialist with over a decade of experience blending renewable energy research, thermo-fluids engineering, and data-driven methods such as AI and optimization. He leads curriculum design, ABET accreditation, and large-course coordination at UTSA while advising and supervising hundreds of undergraduate and graduate students each term. With sixteen years of hands-on experience in wind energy—from CFD site assessments at DNV GL to research on turbine wakes and farm topology optimization—he bridges industry-grade modeling and academic rigor. His Ph.D. work uniquely combines computational intelligence with wind-energy physics, enabling interdisciplinary multiphysics simulation and measurement-driven optimization. Based in San Antonio, he brings a rare mix of classroom leadership, technical consultancy, and applied research that informs both teaching and practical renewable energy deployments.
12 years of coding experience
10 years of employment as a software developer
Ph.D. in Engineering Sciences, Wind Energy and Computational Intelligence, 98.61/100, Ph.D. in Engineering Sciences, Wind Energy and Computational Intelligence, 98.61/100 at Tecnológico de MonterreyWind Energy Engineering, 100/100, Wind Energy Engineering, 100/100 at Coursera - Wind Energy Engineering by DTUWind Energy and Optimization, Wind Energy and Optimization at Danmarks Tekniske Universitet
Spanish, English, French
Github Skills (1)
python5
Programming languages (1)
Github contributions (1)
DTUWindEnergy/Python4WindEnergy
Oct 2013 - Mar 2014
This is a repository to gather the teaching material used for the course Python for Wind Energy organised at DTU Wind Energy
Contributions:6 commits in 4 months
python
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