Mahmoud Jahanshahi
Scholar

Mahmoud Jahanshahi

Google Scholar ID: 6V6kApMAAAAJ
University of Tennessee Knoxville
Mining Software RepositoriesEmpirical Software EngineeringOpen Source Software
Citations & Impact
All-time
Citations
63
 
H-index
4
 
i10-index
2
 
Publications
10
 
Co-authors
7
list available
Resume (English only)
Research Experience
  • Teaching Assistant Professor, University of Tennessee, Knoxville (August 2025 – Present): Teaching courses including Introduction to the World of AI, Data Knowledge & Discovery, Data Wrangling, and Transdisciplinary Problem Solving.
  • Graduate Research Assistant, University of Tennessee, Knoxville (May 2021 – May 2025): Researching open-source software supply chains via repository mining, focusing on copy-based reuse and its implications.
  • Freelance Business Intelligence Consultant (April 2020 – May 2021): Provided financial data analysis and strategic insights across industries.
  • Senior Data Scientist, Mobile Communications Company of Iran (Hamrahe Aval) (May 2019 – April 2020): Developed reports and dashboards using OBIEE; collaborated on data warehouse design and development.
  • Strategic Investments Lead, Hamrahe Aval (February 2018 – May 2019): Led a team of 5 on complex investment projects, interfaced with C-level executives, and shaped investment strategies.
  • International Investment Analyst, Hamrahe Aval (February 2016 – February 2018): Built financial models, screened acquisition targets, forecasted market events, and interpreted financial statements.
Background
  • AI consultant and faculty member at the University of Tennessee with a Ph.D. in Computer Science.
  • Focuses on mining large-scale, complex data to uncover patterns and drive real-world solutions.
  • Developed ecosystem-scale tools for software analysis and curated safer datasets for large language models.
  • Bridges technical depth with business outcomes across academia, business intelligence, finance, and strategic decision-making.
  • Helps organizations tackle data challenges, align AI strategies with goals, and make forward-looking decisions at the intersection of data, technology, and innovation.