The overarching goal of Prof.
Most existing learning algorithms can be categorized into supervised, semi-supervised, an
In this talk, I will talk about recent topics in generative modeling.
In essence, science is about discovering regularities in Nature.
An ontology is an explicit specification of a conceptualization of a domain.
RNAs need to form specific secondary structures for their functions.
Protein-protein interactions drive many important biological events such as infection, re
Quantitative structure-property relationships (QSPRs) using machine learning tools to rel
In this talk, I will introduce our recent progress on how deep learning models inspired u
In safety-critical application domains, it is crucial to assess the attackability of the
We propose a new optimization formulation for training federated learning models.
Recent research showed that most of the existing machine learning algorithms are vulnerab
A key to causal inference with observational data is achieving balance in predictive feat
Artificial Intelligence (AI) is a top subject in the expectations about emerging problem-
Even though CNNs achieve great success in performing complex intelligence tasks, this ach
When there are a lot of training data, or the deep neural network is too large, parallel
Scaling deep learning to a large cluster of workers is challenging due to high communicat
The Red Sea Development Company (TRSDC), one of Saudi’s premiere GigaProjects, aims to de
In this talk, I will present our progress in controlling fish feeding and monitoring wate
The challenges experienced by the oil and gas sector over the past decade have been a dri
With the advent of increasingly intelligent algorithms, robots and other cyber-physical s
KAUST is a living lab for future mobility and transportation innovations such as autonomo
There is a fair amount of hope, if not hype, to the extent that computational techniques,
