MSR 2024
Mon 15 - Tue 16 April 2024 Lisbon, Portugal
co-located with ICSE 2024
Mariam Guizani

Registered user since Wed 29 May 2019

Name:Mariam Guizani
Bio:

Dr. Mariam Guizani is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen’s University.  She holds a PhD and a second MSc from Oregon State University and was a Fulbright fellowship recipient. Additionally, she holds a BSc and a MSc degree in software engineering. At the intersection of Software Engineering and Human-Computer Interaction, her research centers around improving the state of Diversity and Inclusion in complex socio-technical ecosystems such as Open Source. More specifically, her research focuses on designing processes and tools to help Open-Source Software (OSS) communities make their projects more inclusive and attract and retain contributors. The broader impact of her work applies to academia, industry, and large OSS organizations. Dr. Mariam Guizani has worked together with Google and the Apache Software Foundation (ASF) for several years to understand communities’ experiences and needs. Her research at Microsoft Research was recognized by GitHub for its contribution to the currently deployed GitHub Discussion Dashboard, GitHub Blocks, and their future roadmap. Dr. Mariam Guizani has also collaborated with Foundations and departments such as Wikimedia, and Oregon State University IT department to empower communities to dismantle cognitive barriers in software. Her research has been published at both ACM and IEEE conferences including Conference on Computer Supported Cooperative Work (CSCW), International Conference on Software Engineering (ICSE) and Transactions on Software Engineering (TSE). Dr. Mariam Guizani has been invited to present her work at both academic and Industry venues including ICSE, CSCW, Google, GitHub, ApacheCon, and the Linux Foundation Open-Source Summit.

Country:Canada
Affiliation:Queen's University, Canada
Research interests:Open Source, Human Factors, Human Computer Interaction, Empirical Software Engineering, Diversity and Inclusion

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