Dominick Rizk

Professor at The School of Engineering at Catholic University
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Contact Information
us****@****om
(386) 825-5501
Location
Washington, District of Columbia, United States, US
Languages
  • English Full professional proficiency
  • French Native or bilingual proficiency
  • Arabic Native or bilingual proficiency
  • Italian Elementary proficiency
  • Spanish Elementary proficiency

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Bio

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Credentials

  • CPTP SCS Cybersecurity WBT
    Louisiana State Civil Service
    Jan, 2021
    - Oct, 2024
  • Ragin' Leadership Academy Award
    University of Louisiana at Lafayette
    Jan, 2019
    - Oct, 2024
  • Python Programming Workshop
    Notre Dame University - Louaize (NDU)
    Jan, 2016
    - Oct, 2024
  • Mobile Computing Workshop
    Eurisko Mobility
    Jan, 2015
    - Oct, 2024

Experience

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Professor
      • Aug 2023 - Present

    • United States
    • Higher Education
    • 700 & Above Employee
    • Postdoctoral Research Fellow
      • May 2023 - Present

    • Doctoral Research Fellow
      • Aug 2022 - May 2023

    • Doctoral Researcher
      • Aug 2018 - May 2023

      • Designed state-of-the-art deep learning architectures and worked on several research projects in the fields of programming, computer architecture, VLSI, FPGA, ASIC, electronic and digital circuits. • Collaborated actively with scientists and researchers in several other disciplines of informatics, computer science and engineering ranging from theory to design to implementation. • Mentored students in senior projects. • Designed state-of-the-art deep learning architectures and worked on several research projects in the fields of programming, computer architecture, VLSI, FPGA, ASIC, electronic and digital circuits. • Collaborated actively with scientists and researchers in several other disciplines of informatics, computer science and engineering ranging from theory to design to implementation. • Mentored students in senior projects.

    • Graduate Teaching Assistant
      • Aug 2018 - May 2022

      • Leading the laboratory component of the Introduction to Computer Science course which focuses on algorithm design and implementation using Python. • Includes problem solving, structured design of algorithms, implementation of algorithms, and testing and debugging of programs, data types, control structures, and abstractions. • Leading the laboratory component of the Introduction to Computer Science course which focuses on algorithm design and implementation using Python. • Includes problem solving, structured design of algorithms, implementation of algorithms, and testing and debugging of programs, data types, control structures, and abstractions.

    • United States
    • Health, Wellness & Fitness
    • 1 - 100 Employee
    • Computer Analytics and Design Intern
      • May 2020 - Jan 2021

      iTether is a leading provider of HIPAA compliant, customizable and scalable digital care technology. • Built and tested APIs and developed prototypes for remote patient management. • Designed and tested algorithms using multilevel, multi-source data (EHR, biometric, behavioral, physiological) from standardized assessments, semantic analysis, biological signals, and artifacts of human behavior) to select and predict effective interactions and treatments. • Managed clients’ data systems while ensuring HIPAA compliance. • Created predicting models on patients’ behavior and recovery paths using artificial intelligence and machine learning techniques. • Applied predictive data analysis for revenue optimization and measured patient health outcomes to objectively determine the success of certain programs and treatments. • Tracked and analyzed provider performance, patient satisfaction, and other key metrics. Show less

    • Canada
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Team Member
      • Aug 2018 - Dec 2018

      CGI is a multinational information technology consulting and systems integration company. • Worked on a full-stack data science project with CGI that includes machine learning, advanced analytics, and visualizations for the CMS Open Payments dataset. CGI is a multinational information technology consulting and systems integration company. • Worked on a full-stack data science project with CGI that includes machine learning, advanced analytics, and visualizations for the CMS Open Payments dataset.

Education

  • University of Louisiana at Lafayette
    Doctor of Philosophy - PhD, Computer Engineering
    2018 - 2023
  • University of Louisiana at Lafayette
    Master's degree, Computer Engineering
    2018 - 2020
  • Notre Dame University - Louaize (NDU)
    Bachelor of Engineering - BE, Computer and Communication Engineering
    2012 - 2017

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