Emad Shihab, Concordia University

Research

Empirical Software Engineering Mining Software Repositories Software Analytics Software Ecosystems Software Evolution software engineering engineering ai-based software system foundation models

Latest papers

Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables' Data from the Crowd.
Sensors (Basel, Switzerland) · 2022 · senior author
Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals.
Sensors (Basel, Switzerland) · 2021 · senior author
On the Impact of Biceps Muscle Fatigue in Human Activity Recognition.
Sensors (Basel, Switzerland) · 2021 · senior author

All 5 publications

Latest funding

Using chatbots and large language models to answer drug-related questions efficiently and accurately
NSERC · 2024 · Principal investigator
$70,000
Improving the development of Trustworthy AI-based Systems using AI Advances
NSERC · 2023 · Principal investigator
$200,000
AskGit: Chat with your Software Project (Lab2Market)
NSERC · 2022 · Principal investigator
$20,000

All 10 grants and awards

5 publications.

01

Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables' Data from the Crowd.

Elshafei M, Costa DE, Shihab E

Sensors (Basel, Switzerland)2022Senior author

DOI: 10.3390/s22041454 PMID: 35214356

02

Human Activity Recognition: A Comparative Study to Assess the Contribution Level of Accelerometer, ECG, and PPG Signals.

Afzali Arani MS, Costa DE, Shihab E

Sensors (Basel, Switzerland)2021Senior author

DOI: 10.3390/s21216997 PMID: 34770303

03

On the Impact of Biceps Muscle Fatigue in Human Activity Recognition.

Elshafei M, Costa DE, Shihab E

Sensors (Basel, Switzerland)2021Senior author

DOI: 10.3390/s21041070 PMID: 33557239

04

Towards Detecting Biceps Muscle Fatigue in Gym Activity Using Wearables.

Elshafei M, Shihab E

Sensors (Basel, Switzerland)2021Senior author

DOI: 10.3390/s21030759 PMID: 33498702

05

A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors.

Dehghani A, Sarbishei O, Glatard T, Shihab E

Sensors (Basel, Switzerland)2019Senior author

DOI: 10.3390/s19225026 PMID: 31752158

Using chatbots and large language models to answer drug-related questions efficiently and accurately

Principal investigatorNSERC2024Alliance Grants

Principal investigators: Shihab, Emad E

Keywords: software chatbots; software engineering

$70,000

Improving the development of Trustworthy AI-based Systems using AI Advances

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Shihab, Emad E

Keywords: engineering ai-based software system; foundation models; software engineering

$200,000

AskGit: Chat with your Software Project (Lab2Market)

Principal investigatorNSERC2022Idea to Innovation

Principal investigators: Shihab, Emad

$20,000

Using Analytics to Improve Trust in Software Ecosystems

Principal investigatorNSERC2020Discovery Grants Program - Individual

Principal investigators: Shihab, Emad

Keywords: mining software repositories; software ecosystems; software analytics; software evolution; empirical software engineering

$288,000

Using Analytics to Improve Trust in Software Ecosystems

Principal investigatorNSERC2020Discovery Grants Program - Accelerator Supplements

Principal investigators: Shihab, Emad

$120,000

Development of Software Quality Analytics at National Bank

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Shihab, Emad

$25,000

Using big data analytics to improve decision making of system-on-module based solutions

Principal investigatorNSERC2017Strategic Projects - Group

Principal investigators: Shihab, Emad

$494,300

Test Effectiveness, Localization, Prioritization, and Risk in Ericssons's Complex Test Environment

Co-investigatorNSERC2016Collaborative Research and Development Grants

Principal investigators: Rigby, Peter

$177,885

Analysis and analytics of system-on-module data at Motsai

Principal investigatorNSERC2015Engage Grants Program

Principal investigators: Shihab, Emad

$25,000

Detecting and Recommending Mitigations for Impactful Risky Software Changes

Principal investigatorNSERC2015Discovery Grants Program - Individual

Principal investigators: Shihab, Emad

$170,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Tristan Glatard

Computer Science and Software Engineering

1 shared papers, latest 2019

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2024

Subject: Prospective PhD student: Empirical Software Engineering Dear Professor Shihab, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Toward the Personalization of Biceps Fatigue Detection Model for Gym Activity: An Approach to Utilize Wearables' Data from the Crowd." (2022), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Using chatbots and large language models to answer drug-related questions efficiently and accurately" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]