FACULTY BIOGRAPHIES
Eng. Sara Al-Emadi (MSc)
- Emailsalemadi@hbku.edu.qa
Biography
Sara A. Al-Emadi is a Research Associate at the Qatar Computing Research Institute (QCRI). Her research work focuses on deep learning, reinforcement learning, machine learning, artificial intelligence (AI), unmanned aerial vehicles technologies, anti-drone systems, network infrastructure, computer networks, and network security.
She obtained an MSc in Computing and a BSc in Computer Engineering from Qatar University. Her MSc thesis was focused on designing a drone detection and identification system using machine learning techniques.
Research Interests
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Deep Learning
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Reinforcement Learning
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Machine Learning
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Artificial Intelligence (AI)
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Unmanned Aerial Vehicles technologies
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Anti-drone Systems
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Network Infrastructure
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Computer Networks
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Network Security.
Experience
Senior IT Engineer (ICT Strategy and Enterprise Architecture)
ICT Strategy and Enterprise Architecture, Qatar Petroleum.
Jul 2019 - Apr 2020Part-time Research Assistant
Qatar University
Jan 2018 - Dec 2020
Network Infrastructure Engineer
Systems Engineer, Network Infrastructure, Qatar Petroleum.
Feb 2018 - Jul 2019
Education
MSc in Computing (focus: Computer Engineering)
Qatar University, Doha/Qatar
2020BSc in Computer Engineering
Qatar University, Doha/Qatar
2018
Selected Publications
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Sara Al-Emadi - Abdulla Al-Ali - Abdulaziz Al-Ali; Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks
MDPI Sensors; https://www.mdpi.com/1424-8220/21/15/4953
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Sara Al-Emadi-Abdulla Al-Ali-Amr Mohammad-Abdulaziz Al-Ali; Audio Based Drone Detection and Identification using Deep Learning
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Sara Al-Emadi - Felwa Al-Senaid; Drone Detection Approach Based on Radio-Frequency Using Convolutional Neural Network
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Sara Al-Emadi-Aisha Al-Mohannadi; Towards Enhancement of Network Communication Architectures and Routing Protocols for FANETs: A Survey
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