Computer Science and Artificial Intelligence research
Víctor Adrián Sosa Hernández, Ph.D.
I am a research professor at Tecnológico de Monterrey. I am part of the Computer Science Department, within the School of Engineering and Sciences. My research spans from multiobjective mathematical and evolutionary optimization and explainable artificial intelligence (XAI) to digital twins, chatbots and runtime model defense. One thread runs through all my work: the science of trade-offs — almost no decision has a single optimal answer, but a frontier of alternatives worth understanding.
Research areas
What I work on
Evolutionary multiobjective optimization
demoPareto fronts with evolutionary algorithms and mathematical programming.
Explainable AI (XAI) · decision trees
demoModels you can read: the prediction is its own explanation.
Neural Architecture Search
roadmapMultiobjective evolution + deep learning to design networks.
Digital twins
roadmapDigital twins to calibrate bioreactors.
Applied RAG · LLM
roadmapRetrieval-augmented chatbots for sensitive domains.
AI for qualitative research
roadmapAI for qualitative analysis in food systems.
AI runtime defense
roadmapDefending AI models during execution.
Live demos
Explore the applications
Simulations that run in your browser — move the parameters and watch the method apply.