October 2026
CE 4240: Modules 4–6 and Homework 3–4 are up
Linear system theory, drinking water networks, and traffic flow modules are now posted, along with Homework 3 and 4 and solutions for Homework 2 and 3. One module left in the semester.
Hey, I’m Ahmad
I work on the modeling, control, and learning of large-scale dynamical systems — power grids, water networks, transportation, and climate — and I write papers with mostly my students —
This site also holds the more personal side of things: writing, food, travel, and other interests that matter to me —

Recent papers, teaching updates, travel notes, and announcements from the past year.
October 2026
Linear system theory, drinking water networks, and traffic flow modules are now posted, along with Homework 3 and 4 and solutions for Homework 2 and 3. One module left in the semester.
September 11, 2026
A new essay explains how infeasibility certificates from convex optimization can rapidly prove that a desired state-space maneuver cannot be reached.
September 2026
Two recent works are now available as preprints: one accepted for publication in IEEE Transactions on Intelligent Vehicles, and one conditionally accepted for publication in IEEE Transactions on Automatic Control.
September 2026
The new Infrastructure Systems Engineering course page includes the syllabus, the first two modules, and the first two homework assignments. More course content will be added as it is developed.
August 2026
A long-form piece on reduced-order models, compression, language, fashion, infrastructure, and the cost of throwing away hidden modes.
August 2026
An earlier offering of the class is now available online for anyone who wants a preview of the material.
August 2026
A new post collects some thoughts from the summer and a gallery of pictures from the trip.
August 2026
The paper develops a large-scale optimization model for multimodal transportation networks.
July 2026
A new conference paper on anomaly detection appeared at the International Conference on Machine Learning. Congrats, Yilin.
My group develops theory and algorithms in control engineering, machine learning and AI, large-scale optimization, and network science, and validates them on the energy, water, transportation, and climate systems that society depends on. The figure is the map I keep coming back to: core methods in the center, application domains around them, and dashed arrows for the places where one infrastructure sector leans on another.

A recurring theme is turning messy infrastructure questions into certificates, bounds, algorithms, or feedback laws that stay useful when models are nonlinear, data is incomplete, and uncertainty refuses to be polite. Lately that includes asking the same control-theoretic questions of learning models themselves: what a neural network or a language model can reach, steer, or certify.