biomedical applications

Novel Data Mining Methods for Virtual Screening of Biological Active Chemical Compounds by Othman Soufan

Othman Soufan, Ph.D., Computer Science

Nov 16, 14:00 - 15:00

H2 B9

machine learning data mining Computational biology biomedical applications Chemical compounds visualization

Abstract Drug discovery is a process that takes many years and hundreds of millions of dollars to reveal a con dent conclusion about a specific treatment. Part of this sophisticated process is based on preliminary investigations to suggest a set of chemical compounds as candidate drugs for the treatment. Computational resources have been playing a significant role in this part through a step known as virtual screening. From a data mining perspective, the availability of rich data resources is key in training prediction models. Yet, the difficulties imposed by big expansion in data and its

A journey in applied complexity: pioneering record-performing technologies in clean energy harvesting, machine vision, and smart materials - Public Colloquium

Andrea Fratalocchi, Professor, Electrical and Computer Engineering

Oct 25, 14:00 - 16:00

B9 L2 R2322

Applied complexity artificial intelligence information security biomedical applications

Applied Complexity aims to understand the physical origin of these behaviors and transform them into sustainable technologies that tackle global problems of global interest. These range from energy harvesting to clean water production, the design of smart materials, biomedical applications, information security, artificial intelligence, and global warming. In this talk, I will summarize my group's recent research, discussing present results and future challenges of Applied complexity both as a science and engineering.

Mohamed Abdelwaheb Bahloul

Ph.D., Electrical and Computer Engineering

Signal processing Estimation fractional-order derivative biomedical applications cardiovascular

My name is Mohamed Abdelwaheb Bahloul, native from Sfax, Tunisia. I am a Ph.D. candidate in the Computer, Electrical, and Mathematical Sciences and Engineering Division at King Abdullah University of Science and Technology (KAUST). I first came to KAUST, in 2015, as an intern within the Visiting Student Research Program. Impressed with the University, its facilities, and the KAUST lifestyle, I then applied to KAUST as a master's degree student and was accepted to the electrical engineering program, electro-physics track. After graduating with my M.S. in 2017, I began my Ph.D. studies at KAUST