Dhia Elhaq Rzig
Ph.D. Candidate in Computer and Information Science
Rackham Graduate School, University of Michigan - Dearborn
Biography
A Current Ph.D. candidate with a background in Software Engineering and a Master’s in information Processing. I have a had the pleasure of working in the past for both NGOs and multiple companies and am enthusiastic about learning new things, building my research skills, and making a positive impact in the world. I have had Leadership and Management experiences in the context of Student-Led organizations, and have a research background in DevOps, Machine Learning, Software Testing, Generative AI, Virtual Reality, and more to come as I continue to diversify my Research experience. Published in various A-level Conferences and Q1 journals, and have attended ESEM 2022, ESEM 2023, ISSTA 2023, and ASE 2022 conferences.
- DevOps
- Continuous Integration
- Machine Learning
- Testing
- Virtual Reality
- Generative AI
Ph.D. in Computer and Information Science, Planned: 12-2024
Rackham Graduate School, University of Michigan - Dearborn
M.Res. in Information Processing and Complexity of Living Systems, 2020
National Engineering School Of Tunis (ENIT) and Paris Cité University
Bachelors in Software Engineering, 2020
National Institute of Applied Sciences And Technology (INSAT)
Experience
- Research Internship at Gray Systems Lab, about the intersection of LLMs and Data.
- Research paper currently going through drafting.
- Supervised by Dr. Jordan Henkel (jordan.henkel@microsoft.com)
- Research Collaboration with Gray Systems Lab over automatic Prompt fixing and improvement.
- Research paper currently under submission.
- Supervised at Microsoft by Dr. Jordan Henkel (jordan.henkel@microsoft.com)
- Assisted with the organization of the ACM SIGSOFT International Symposium on Software Testing and Analysis 2023
- Assisted with the organization of the IEEE/ACM International Conference on Automated Software Engineering 2022
- Research Collaboration with Nachiappan Nagappan (nnagappan@acm.org) and Chetan Bansal (chetanb@microsoft.com) on CI within ML projects.
- Working under the supervision of Dr. Foyzul Hassan (foyzul@umich.edu)
- Resulting publication: Characterizing the usage of CI tools in ML projects
- Researching DevOps tools and practices in the context of AI/ML, VR/AR software projects,and other emerging technologies
- Working under the supervision of Dr. Foyzul Hassan (foyzul@umich.edu)
- 4 Publications in top venues so far, 3 as first author
Responsibilities include:
- Teaching labs
- Holding office hours
- Gradeing assignments and tests Classes instructed so far:
- Undergraduate: CIS 285 Software engineering tools class, and CIS 376 Software Engineering II.
- Graduate: CIS 580 Data Analytics in Software Engineering, and CIS 565 Software Quality Assurance.
- Developed new Knowledge-Based components in an automated software refactoring solutions using association rules mining algorithms and historical data concerning
- Work accomplished under the supervision of Dr. Marouane Kessentini (kessentini@oakland.edu).
- Developed a Google Assistant bot used in a card game created by DI.
- Collected and cleaned Data for election Ad billboards.
- Created an interactive map that shows the positions of these Ad billboards.
- Designed, developed, and tested two Marketing-Mix-Modelling ‘marketing to sales’ decomposition automatic modelers that use Machine Learning, specifically Genetic Algorithms.
- Deployed these modelers to the cloud.
- Developed a knowledge-based crossover operators for the Genetic algorithm used in the Multi-Objective Software Refactoring to improve its efficacy and efficiency.
- Work performed Under the supervision of professors from INSAT (meriemchater@yahoo.fr) and UM Dearborn (kessentini@oakland.edu).
Featured Publications
Publications
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