Soumaya Rebai, PhD

Soumaya Rebai, PhD

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Software Engineer Intern

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location of Soumaya Rebai, PhDNovi, Michigan, United States

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  • Timeline

  • About me

    AI/ML Research | Research Software Engineer | Unlocking Tomorrow's Solutions | Pioneering AI for Real-World Solutions

  • Education

    • Lycée pilote de Sfax

      2010 - 2014
      Baccalaureate Mathematics 18.11 / 20
    • University of Michigan - Rackham Graduate School

      2018 - 2021
      Doctor of Philosophy - PhD COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES 4.0

      - Thesis title: Commits Analysis for Software Refactoring Documentation and Recommendation.- Supervisor: Dr. M. Kessentini.- PhD defense completed with distinguished performance.- Mentor for four masters students for their thesis research projects. - Research Interests: Software refactoring, Software quality, Refactoring Recommendations, NLP, Topic Modeling, Multi-Objective Optimization, Web Services, Design Patterns, Commits Analysis, Bots, Code Reviews.-Relevant Courses:… Show more - Thesis title: Commits Analysis for Software Refactoring Documentation and Recommendation.- Supervisor: Dr. M. Kessentini.- PhD defense completed with distinguished performance.- Mentor for four masters students for their thesis research projects. - Research Interests: Software refactoring, Software quality, Refactoring Recommendations, NLP, Topic Modeling, Multi-Objective Optimization, Web Services, Design Patterns, Commits Analysis, Bots, Code Reviews.-Relevant Courses: Data Analytics in Software Engineering, Algorithm Analysis & Design, Introduction to Artificial Intelligence, Applied Regression Analysis, Software Quality Assurance. Show less

    • SMU - South Mediterranean University (MSB- MedTech-LCI)

      2014 - 2019
      Engineer's degree Computer Software Engineering 3.98 out of 4.0
    • University of Michigan - Rackham Graduate School

      2018 - 2019
      Master of Science - MS Software Engineering 4.0

      - Supervisor: Dr. M. Kessentini- Graduated with High Distinction- Relevant Courses: Natural Language Processing, Introduction to Big Data, Web Information Management,Introduction to Data Science.

  • Experience

    • Groupe Chimique Tunisien

      May 2016 - Jul 2016
      Software Engineer Intern

      - Developed an application for leave management using JAVA and Database Management ( SQL).

    • VITALIS

      May 2017 - Aug 2017
      Software Engineer Intern

      - Learning about AML/KYC ( Know Your Customer).- Developed a mock banking system application and exposed it as a webservice which was leveraging AML/KYC's webservice. The application was useful for demonstrating and advertising AML/KYC to different banks across the country.

    • University of Michigan-Dearborn

      Oct 2017 - Nov 2017
      Temporary Instructional Aide

      - Contributed in teaching JAVA programming language to High School kids in Detroit Area Pre College Engineering Program (DAPCEP)

    • University of Michigan

      Sept 2018 - Aug 2021

      Link to the ISE-Lab: http://kessentini.net/ise-lab CIS CIS-4951 / CIS-4961/ CIS-4971 / CIS-4981 : Senior Design Seminar 1CIS-4952 / CIS-4962/ CIS-4972/ CIS-4982: Senior Design Seminar 2 Courses: CIS 275: Discrete Math I CIS 376: Software Engineering II CIS 479/579: Artificial Intelligence CIS 350: Data Struc and Algorithm Analysis

      • Research Assistant

        Oct 2017 - Aug 2021
      • Grader

        May 2020 - May 2021
      • Graduate Teaching Assistant

        Sept 2018 - May 2021
    • SEMA TECHNOLOGIES Group

      Jun 2019 - Jul 2019
      Research Intern

      - Translated my research prototype on " Automated Documentation Bot" into a Beta version of Sema's products.- Validated the Bot in a commercial settings using a large set of industrial projects.- A demo of the projects can be found at: https://www.youtube.com/watch?v=lUkzQDEJUpQ

    • Ford Motor Company

      Jun 2020 - Jul 2020
      Research & Advanced Engineering (R&A) Intern

      - Helped with identifying the business use-case and feasibility for federated learning.- Evaluated Nvidia Xavier for fine-tuning of neural networks. Evaluation parameters included speed and memory utilization.- Participated in developing reference federated learning application utilizing automotive dataset on NVIDIA Xavier.

    • Cheetah Expedite LLC

      Nov 2020 - now
      Business Consultant || Operational Strategist

      Combining my passion for technology with expertise in the transportation and trucking industry, I specialize in driving safety and regulatory compliance for businesses. With a strong foundation in Computer and Information Science, I leverage data-driven insights to develop robust safety protocols and streamline operations.I guide Cheetah Expedite through the complexities of federal and state regulations, conducting thorough compliance audits and providing tailored training that empowers teams. By integrating innovative technology solutions, I help organizations enhance efficiency and profitability while fostering a culture of safety.Committed to identifying market opportunities and promoting sustainable practices, I enable trucking businesses to thrive in a competitive landscape Show less

    • Ford Motor Company

      May 2021 - Jul 2021
      Research & Advanced Engineering (R&A) Intern

      - Researched and evaluated different model monitoring methods, classified them based on input and output data, compared them and mapped them to the possible use case at Ford after several meetings and discussions with the feature owners.- Benchmarked various hardware platforms such as Nvidia Xavier, Amabarella CV22 using five different Neural Networks. Evaluated parameters included throughput, memory utilization, optimization utilities and third party libraries. - Participated in the NextGen ( The City of Tomorrow Challenge) with Build-in Jack proposal idea. A digital badge was awarded to reach the last phase and the idea was elected as the top five innovative idea. Show less

    • Ford Motor Company

      Oct 2021 - Jun 2023
      Research Engineer, Core AI/ML Methods

      - Part of the team who led the design and development of the FNV4-AI/ML framework.- Led the design, development deployment and testing of the component responsible for the storage of AI/ML artifacts( including user-specifc and generalized ) in vehicle.- Led the end-to-end integration of the framework with various modules int he last phase of the project.- Led the FMEA ( Failure Mode and Effects Analysis) for the end-to-end system. - SI in the research project between the University of Southern California ( USC) and Ford Motor Company.- Top achiever in performance to goal assessment of the year 2022. Show less

    • University of Michigan-Dearborn

      Jan 2024 - now
      Lecturer, College of Engineering and Computer Science

      - Teach courses in Computer and Information Science( CIS).- Served as a judge for the 2024 Senior Design Day. Teaching Areas: Software Engineering, Computer and Information Science and Mathematics. - CIS 306 - Discrete Structures II- CIS 375 Software Engineering I

  • Licenses & Certifications

    • AI & Supply Chain Analytics in Smart Manufacturing Hands-On Workshop

      IBM
      Oct 2020
  • Honors & Awards

    • Awarded to Soumaya Rebai, PhD
      Digital Badge for participating in Intern City of Tomorrow Challenge 2021 Future Mobility @Ford Motor Company Jul 2021
    • Awarded to Soumaya Rebai, PhD
      Awarded full scholarship in BSc Mediterranean Institute of Technology Sep 2014