Education
University of California, Irvine
Ph.D. in Computer Engineering, focused on "Efficient Deep Neural Networks on the Edge".
Investigated the use and combination of pruning, quantization, and tensor decomposition methods on state-of-the-art deep neural network models.
Developed techniques for efficient deployment of neural networks on low-energy-constrained devices.
Ph.D. in Computer Engineering, focused on "Efficient Deep Neural Networks on the Edge".
Investigated the use and combination of pruning, quantization, and tensor decomposition methods on state-of-the-art deep neural network models.
Developed techniques for efficient deployment of neural networks on low-energy-constrained devices.
Sep 2017 - Feb 2022
University of California, Irvine
Master’s degree in Computer Engineering.
Thesis: "Integration of a Low Cost EEG Headset with the Internet of Things Framework".
Integrated hardware of vital signals with IoT framework (EEG, EMG, heart beating).
Master’s degree in Computer Engineering.
Thesis: "Integration of a Low Cost EEG Headset with the Internet of Things Framework".
Integrated hardware of vital signals with IoT framework (EEG, EMG, heart beating).
2014 - 2016
University of Pennsylvania
Non-Degree Program in Philosophy, Politics, and Economics.
Non-Degree Program in Philosophy, Politics, and Economics.
2012 - 2014
Taif University
Bachelor’s degree in Computer Engineering.
Graduated with second honors.
Bachelor’s degree in Computer Engineering.
Graduated with second honors.
2006 - 2011
University of Southern California
Certificate in Game Programming, Computer Games and Programming Skills.
Lead programmer on a 3D game using Unreal Engine 5 as a group project.
Designed and programmed a 2D game using Unity as an individual project.
Certificate in Game Programming, Computer Games and Programming Skills.
Lead programmer on a 3D game using Unreal Engine 5 as a group project.
Designed and programmed a 2D game using Unity as an individual project.
Jan 2024 - May 2024
Employment
University of Tabuk & Collaborative Institutions
Team Leader for the WaterBacteria Research Initiative. Led a diverse team of 15 assistant professors from the USA and Saudi Arabia. Developed innovative methods using bacteria to produce water and irrigate arid soil in Saudi Arabia, utilizing AI to modify bacterial genetics for resilience in harsh environments.
Team Leader for the WaterBacteria Research Initiative. Led a diverse team of 15 assistant professors from the USA and Saudi Arabia. Developed innovative methods using bacteria to produce water and irrigate arid soil in Saudi Arabia, utilizing AI to modify bacterial genetics for resilience in harsh environments.
Aug 2022 - Jan 2023
Saudi Arabia
Saudi Arabia
University of Tabuk & University of California, Irvine
Team Member for the RRAM Crossbar Based Analog In-Memory AI Accelerator SOC Chip project. Designed an AI accelerator SOC chip with non-volatile resistive memory devices, custom analog crossbar computational units, and fault-tolerant neural network architectures.
Team Member for the RRAM Crossbar Based Analog In-Memory AI Accelerator SOC Chip project. Designed an AI accelerator SOC chip with non-volatile resistive memory devices, custom analog crossbar computational units, and fault-tolerant neural network architectures.
Mar 2023 - Dec 2023
Saudi Arabia
Saudi Arabia
University of Tabuk "Industrial Innovation and Robotic Center" & Neom
Project Leader for AI and Life Sciences Research Initiative. Led a team of 4 researchers in collaboration with Neom to develop innovative AI solutions for life sciences applications, managing project timelines with agile methodologies.
Project Leader for AI and Life Sciences Research Initiative. Led a team of 4 researchers in collaboration with Neom to develop innovative AI solutions for life sciences applications, managing project timelines with agile methodologies.
Oct 2022 - Mar 2023
Saudi Arabia
Saudi Arabia
University of Tabuk "Artificial Intelligence and Sensing Technologies Center (AIST)" & Saline Water Conversion Corporation (SWCC)
Member Team for Jellyfish Detection and Desalination Plant Risk Assessment. Used AI and sensing techniques to detect jellyfish emergence, analyze environmental data, and assess risks at desalination plants.
Member Team for Jellyfish Detection and Desalination Plant Risk Assessment. Used AI and sensing techniques to detect jellyfish emergence, analyze environmental data, and assess risks at desalination plants.
Feb 2023 - Present
Saudi Arabia
Saudi Arabia
Interdigital
AI Engineer Intern (Remote). Collaborated on building deep neural network models for image and video compression, optimizing neural network performance for compression efficiency.
AI Engineer Intern (Remote). Collaborated on building deep neural network models for image and video compression, optimizing neural network performance for compression efficiency.
Mar 2021 - Dec 2021
Remote
Remote
Nuaris (Contract)
Chief Technology Officer (Remote). Led the technology team to develop innovative solutions, overseeing the deployment of new products and aligning technology with business goals.
Chief Technology Officer (Remote). Led the technology team to develop innovative solutions, overseeing the deployment of new products and aligning technology with business goals.
Jul 2023 - Nov 2023
Remote
Remote
Tokyo Institute of Technology
Summer Program Participant. Developed deep neural network models for self-driving cars and integrated AI solutions into FPGA for real-time processing in automotive systems.
Summer Program Participant. Developed deep neural network models for self-driving cars and integrated AI solutions into FPGA for real-time processing in automotive systems.
Summer 2018
Tokyo, Japan
Tokyo, Japan
National Taiwan University Lab (Sponsored by Intel)
Summer Researcher. Developed an IoT framework, including an EEG module, as part of a research project sponsored by Intel, and integrated IoT components effectively.
Summer Researcher. Developed an IoT framework, including an EEG module, as part of a research project sponsored by Intel, and integrated IoT components effectively.
Summer 2016
Taipei, Taiwan
Taipei, Taiwan
Publications
Efficient Deep Neural Networks for Edge Computing
This paper proposes a novel idea of combining filter pruning with tensor decomposition to reduce the computational complexity of deep neural networks.
IEEE EDGE 2019
A Storage-Efficient Ensemble Classification Using Filter Sharing on Binarized Convolutional Neural Networks
This paper proposes a storage-efficient ensemble classification to overcome the low inference accuracy of binary neural networks (BNNs).
PeerJ Computer Science, 2022
A Two-Stage Efficient 3-D CNN Framework for EEG-Based Emotion Recognition
This paper proposes a novel two-stage framework for emotion recognition using EEG data that outperforms state-of-the-art models while keeping the model size small and computationally efficient.
IEEE International Conference on Industrial Technology (ICIT)
Integration of a Low-Cost EEG Headset with The Internet of Things
This Master thesis focuses on integrating low-cost EEG headsets with IoT devices to control electronic devices through brain signals.
University of California, Irvine, 2017
Efficient Deep Neural Networks on the Edge
This dissertation explores the application of neural networks in embedded systems, highlighting techniques for optimizing performance and efficiency in resource-constrained environments.
University of California, Irvine, 2022