Methods

Efficient and Accurate Numerical Methods for Transient Electromagnetic Analysis - 2020

Hakan Bagci, Professor, Electrical and Computer Engineering

Nov 22, 12:00 - 13:00

KAUST

Efficient numerical Methods Transient electromagnetic

Electromagnetic devices and systems are at the heart of technological advances revolutionizing many fields of science and engineering including energy management, biomedical electronics, communications and computing, and even environmental monitoring and civil design. Many of these systems are electrically large, their frequency of operation has a wide dynamic range, their device components are geometrically intricate with dimensions varying by orders of magnitude, and finally their optimal design requires many repetitions of characterizations with different parameters.

Elaf Jameel Islam

M.S., Computer Science

Deep learning Methods Recognition Genomic signals

Research Interests Evaluation of deep learning methods in recognition of genomic signals. Academic Advisor Prof. Vladimir Bajic. Education B.Sc., Computer science, UQU, MAKKAH, Saudi Arabia, 2014 2015-2018: Master student, KAUST, Thuwal, Saudi Arabia