Works (5)
Updated: July 5th, 2023 15:33
2020 article
Debugging Hiring: What Went Right and What Went Wrong in the Technical Interview Process
2020 IEEE/ACM 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN SOCIETY (ICSE-SEIS 2021), pp. 71–80.
author keywords: career; hiring practices; interview feedback; opinion mining; reviews; software engineering; technical interviews; whiteboard
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
2019 IEEE/ACM 41ST INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN SOCIETY (ICSE-SEIS 2019), pp. 51–60.
author keywords: transparency; code contributions; open source software development; eye-tracking; socio-technical ecosystems
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)
research.tue.nl (repository)
UN Sustainable Development Goal Categories
5. Gender Equality
(OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: October 5, 2020
2018 article
Dazed: Measuring the Cognitive Load of Solving Technical Interview Problems at the Whiteboard
2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: NEW IDEAS AND EMERGING TECHNOLOGIES RESULTS (ICSE-NIER), pp. 93–96.
author keywords: technical interviews; cognitive load; eyetracking
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 journal article
A multiple-classifier framework for Parkinson's disease detection based on various vocal tests
International Journal of Telemedicine and Applications, 2016.
Contributors: * & A. Sami *
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 conference paper
Presenting a new cascade structure for multiclass problems
2013 International Conference on Electronics, Computer and Computation, ICECCO 2013, 192–195.
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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