Trying to leave a better world for our kids and better kids for our world
Howdy ツ My name is Alexander, I live in Texas and consider myself a generalist, passionate about using teaching, research, and engineering to help folks. I’m a coding, reproducible research enthusiast, committed promote the use of open-source software and data to enhance collaboration and make education and research more accessible and transparent.
I love teaching, preparing assignments and presentations that enhance learning experiences. I’m very fortunate to teach, striving to make every class special, providing students with essential research methods, analytical thinking, and programming skill. I know that it might feel challenging but these are very important tools for future engineers.
Whether it’s exploring data, modeling scenarios, or creating visualizations, this practical knowledge empowers impactful decisions. I encourage students to keep experimenting and asking questions; the more they engage, the more confident they become. After all every expert was once a beginner.
Dr. Alexander Abuabara is an Instructional Assistant Professor of Data Engineering and Industrial and Systems Engineering at Texas A&M University. He earned his B.Sc. in Civil Engineering from the University of São Paulo, his M.Sc. in Production Engineering from the Federal University of São Carlos, and his Ph.D. in Urban and Regional Science from Texas A&M University, where his research focused on applications of Bayesian networks in risk assessment and decision-making.
An educator and scholar, Dr. Abuabara integrates systems thinking and probabilistic modeling to improve structured reasoning. He teaches courses in data engineering, decision and risk analysis, GIS (Geographic Information Systems), and engineering design, with an emphasis on computational reproducibility, interpretability, and practical problem-solving. His teaching prepares students to build robust data workflows, reason under uncertainty, and develop models that support informed and ethical decisions in complex systems.
His research spans optimization, logistics and scheduling, probabilistic modeling, risk assessment and management, and policy evaluation. He is also interested in how coincidences, irrational beliefs, and cognitive biases shape human judgment, as part of a broader exploration of the psychological dimensions of risk and resilience.
Dr. Abuabara is active in academic service, having served as Faculty Senator for the College of Architecture and currently serving on the Undergraduate Affairs Committee in the Department of Industrial and Systems Engineering. Through interdisciplinary collaboration and a commitment to open analytics, he contributes to advancing data engineering in strategic development and systems design.
Return home