reasoning

Efficient Long-Form Video Understanding: Scaling Perception, Selecting Evidence, and Adapting Computation

Shuming Liu, Ph.D. Student, Computer Science

Nov 18, 19:00 - 21:00

Zoom Meeting 95938664864

scene understanding Advanced Perception reasoning Efficient AI visual computing multimodal models

This dissertation advances efficient long-form video understanding by developing methods that allocate limited computational resources across three stages: scaling video perception, selecting relevant visual evidence, and adapting reasoning effort to individual questions.

Causal Reasoning in Medical Digital Twins: Methods and Architectures

Sakhaa Alsaedi, Ph.D. (former), Computer Science

Apr 29, 03:00 - 05:00

B3 R5209

explainable AI reasoning causal representation learning medical digital twins personalized medicine AI AI for healthcare

This dissertation develops a principled computational framework for causal reasoning in Medical digital twins (MDT) systems, moving beyond correlation-driven approaches toward explainable and biologically grounded decision support.

Mohammad Zbeeb

Intern

reasoning Safety Agents

Computer Science student at the American University of Beirut (AUB) and research assistant focused on large language models, alignment, and AI safety at KAUST