Mabrok Lab

Associate Professor of Applied Mathematics · Qatar University

Mathematics that has to work outside the page

Artificial intelligence for medicine, agentic systems that act and not only predict, and the control theory that says whether they will hold. Teaching runs on the same conviction: a method is understood when you know where it comes from, when it applies, and what it looks like when it fails.

The teaching platform The research

Dr. Mohamed A. Mabrok
Currently
  • Multimodal AI for breast cancer detection, with explainability as a requirement rather than a feature.
  • Agentic systems, and what control theory has to say about whether they hold.
  • Rebuilding the teaching platform to run several mathematics courses side by side.
40
journal papers
from OpenAlex, weekly
38
conference papers
15
years teaching
four countries

What the lab works on

AI for healthcare

Deep learning for stroke diagnosis, breast cancer detection and multimodal imaging, built to be explainable, because a clinician has to be able to see why.

Agentic AI

Systems that decide and act rather than only predict: agents that plan, use tools, hold a goal across many steps, and can be held to account for what they did.

Robust and optimal control

Negative imaginary systems theory, robust stability, and feedback design for systems that ring, settle and interconnect.

Robotics and autonomy

Perception, navigation and online learning for UAVs and ground robots in environments that do not hold still.

Dynamics and game theory

Passivity of replicator dynamics, stability analysis, and how strategic agents settle into equilibria.

AI in mathematics education

What a course looks like when every answer is machine checkable, the tutor has read the same pages the student has, and the record of a term is a dataset.

Recent work

Everything, by year →

Teaching

Seven courses at Qatar University run on a platform built for them rather than bought: worked examples that stay closed until you have tried the problem, practice that explains rather than ticks, a tutor that has read the same pages the student has, and an exam bank where every answer has been re-derived by a computer algebra system before a student ever meets it.

MATH 101

Calculus I

MATH 102

Calculus II

MATH 213

Differential Equations

MATH 217

Mathematics for Engineering

MATH 220

Foundations of Mathematics

MATH 231

Linear Algebra

MATH 285

Mathematics for Electrical Engineering

How the teaching works → · Go to the courses →

News

Working with the lab

Students interested in AI for healthcare, agentic AI, control theory or robotics are welcome to write. A CV and a short note about what you want to work on is much easier to answer well than a general enquiry.