Sharif Ahmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

University of Central Arkansas

Also affiliated: Boise State University (2023–2025); University of Gävle (2025)

2 h-index 13 pubs 11 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Sharif Ahmed is an Assistant Professor whose research focuses on the analysis of software development practices and the impact of social media on academic communities. His work has investigated the transformation of natural language into Unified Modeling Language, the usefulness of code review comments in scientific software, and patterns of utilization for technical papers and associated artifacts from conferences like ICSE.

Ahmed's research also examines the role of social media in computer science. He studies engagement patterns of conferences on these platforms and explores how feedback, particularly in code reviews, contributes to software quality and scientific rigor. He has received funding from the National Science Foundation (NSF) for his project "CRII: SaTC: RUI: Towards Trustworthy and Accountable IoT Data Marketplaces," totaling $169,635.

His scholarship metrics include an h-index of 2, with 16 total publications and 36 total citations. Ahmed's recent publications address topics such as emoji use in code reviews, social media engagement analysis for conferences, and the evaluation of code review comment usefulness.

Metrics

h-index: 2
Publications: 13
Citations: 11

Positions

Assistant Professor 2025–present

University of Central Arkansas Computer Science and Engineering ORCID
Graduate Research Assistant 2022–2025

Boise State University Computer Science ORCID
Graduate Teaching Assistant 2021

Boise State University Computer Science ORCID
Senior Lecturer 2017–2021

Metropolitan University Computer Science & Engineering ORCID

Selected Publications

Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor (2026)

DOI OpenAlex
Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor (2026)

arXiv (Cornell University) OpenAlex
Uncovering Scientific Software Sustainability through Community Engagement and Software Quality Metrics (2026)

Computing in Science & Engineering DOI OpenAlex