One more milestone in a life project. I recommend this one for anyone who just love working with projects and people! Six courses on Coursera, developed by Google / Google Career Certificates, that include hands-on practice-based assessments, will equip you with essential project management skills.
Top Downloaded Article on Wiley
Our paper has been chosen as one of the most downloaded article on Wiley during its first 12 months publication in the International Journal of RF and Microwave Computer-aided Engineering.First published: 27 July 2020Citations on Google Scholar: 25 A review on the design and optimization of antennas using machine learning algorithms and techniquesDownload
Promoted to Associate Professor!
Despite all what is happening in Lebanon, nothing can stop us from moving forward and achieving what we aim for! I am happy to share that I was promoted to the rank of Associate Professor. A rank that requires teaching, mentoring, management, planning, advising, research, and services achievements.
Machine Learning-Aided Design of Dielectric-Filled Slotted Waveguide Antennas With Specified Sidelobe Levels
This paper presents the use of machine learning (ML) to facilitate the design of dielectric-filled Slotted Waveguide Antennas (SWAs) with specified sidelobe level ratios (SLR). Conventional design methods for air-filled SWAs require the simultaneous solving of complex equations to deduce the antenna’s design parameters, which typically requires further manual simulation-based optimization to reach the desired... Continue Reading →
A Deep Learning Framework for Breast Tumor Detection and Localization from Microwave Imaging Data
Breast Microwave Imaging (BMI) has emerged as a viable alternative to conventional breast cancer screening techniques due to its favorable features and a higher rate of detection. This paper presents a deep learning framework consisting of deep neural networks with convolutional layers to facilitate the process of tumor detection, localization, and characterization from scattering parameter... Continue Reading →
A Review on the Design and Optimization of Antennas Using Machine Learning Algorithms and Techniques
This paper presents a focused and comprehensive literature survey on the use of machine learning (ML) in antenna design and optimization. An overview of the conventional computational electromagnetics and numerical methods used to gain physical insight into the design of the antennas is first presented. The major aspects of ML are then presented, with a... Continue Reading →