Mahnaz Behroozi

Works (5)

Updated: July 5th, 2023 15:33

2020 article

Debugging hiring: what went right and what went wrong in the technical interview process

Behroozi, M., Shirolkar, S., Barik, T., & Parnin, C. (2020, June 27). International Conference on Software Engineering.

By: M. Behroozi n , S. Shirolkar n, T. Barik* & C. Parnin n

author keywords: career; hiring practices; interview feedback; opinion mining; reviews; software engineering; technical interviews; whiteboard
topics (OpenAlex): Open Source Software Innovations; Knowledge Management and Sharing; Software Engineering Techniques and Practices
TL;DR: The findings provide a set of guidelines to help companies improve their hiring pipeline practices, such as being deliberate about phrasing and language during initial contact with the candidate, providing candidates with constructive feedback after their interviews, and bringing salary transparency and long-term career discussions into offers and negotiations. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: November 1, 2021

2019 article

Beyond the Code Itself: How Programmers Really Look at Pull Requests

Ford, D., Behroozi, M., Serebrenik, A., & Parnin, C. (2019, May 1). 2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN SOCIETY (ICSE-SEIS 2019), pp. 51–60.

By: D. Ford n, M. Behroozi n , A. Serebrenik * & C. Parnin n

author keywords: transparency; code contributions; open source software development; eye-tracking; socio-technical ecosystems
topics (OpenAlex): Open Source Software Innovations; Software Engineering Research; Wikis in Education and Collaboration
TL;DR: It is found that after the code snippet, the second place programmers spent their time fixating is on supplemental technical signals, such as previous contributions and popular repositories, and it is also found that programmers fixated on social signals more than recalled. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
5. Gender Equality (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 5, 2020

2018 article

Dazed

Behroozi, M., Lui, A., Moore, I., Ford, D., & Parnin, C. (2018, May 27). Proceedings - International Conference on Software Engineering, pp. 93–96.

By: M. Behroozi n , A. Lui *, I. Moore n, D. Ford  n & C. Parnin n

Contributors: M. Behroozi n , A. Lui *, I. Moore n, D. Ford  n & C. Parnin n

author keywords: technical interviews; cognitive load; eyetracking
topics (OpenAlex): Visual and Cognitive Learning Processes; Gaze Tracking and Assistive Technology; Human-Automation Interaction and Safety
TL;DR: An approach where a head-mounted eye-tracker and computer vision algorithms are used to collect robust metrics of cognitive state to create a vision for creating a more inclusive technical interview process through future studies of interventions that lower cognitive load and stress. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 3, 2018

2016 article

A Multiple-Classifier Framework for Parkinson’s Disease Detection Based on Various Vocal Tests

Behroozi, M., & Sami, A. (2016, January 1). International Journal of Telemedicine and Applications, Vol. 2016.

By: M. Behroozi*  & A. Sami *

Contributors: M. Behroozi*  & A. Sami *

topics (OpenAlex): Voice and Speech Disorders; Speech Recognition and Synthesis; Music and Audio Processing
TL;DR: A new framework that applies an independent classifier for each vocal test is introduced that enhances classification accuracy up to 15% and also enhances filter-based feature selection. (via Semantic Scholar)
Source: ORCID
Added: June 9, 2019

2013 article

Presenting a new cascade structure for multiclass problems

Behroozi, M., & Boostani, R. (2013, November 1). 2013 International Conference on Electronics, Computer and Computation, ICECCO 2013, pp. 192–195.

By: M. Behroozi*  & R. Boostani *

Contributors: M. Behroozi*  & R. Boostani *

topics (OpenAlex): Imbalanced Data Classification Techniques; Machine Learning and Data Classification; Face and Expression Recognition
TL;DR: A new architecture of cascaded classifiers is proposed to handle multi-class tasks and LogitBoost is used as the base classifier due to its low sensitivity to the noisy samples. (via Semantic Scholar)
Source: ORCID
Added: June 9, 2019

Employment

Updated: October 10th, 2018 20:27

2016 - present

North Carolina State University Raleigh, NC, US
Research Assistant Computer Science

2014 - 2016

Shiraz University Shiraz, Fars, IR
Researcher Computer Science & Engineering

Education

Updated: September 10th, 2020 23:46

2011 - 2014

Shiraz University Shiraz University, Fars, IR
Artificial Intelligence M.Sc. Computer Science & Engineering

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