Gias Uddin, University of Calgary

Research

Machine Learning Natural Language Processing Anomaly Detection Artificial Intelligence Cloud-native software Software Failure Software log Software monitoring

Latest papers

Automatic prediction of rejected edits in Stack Overflow.
Empirical software engineering · 2023
Developer discussion topics on the adoption and barriers of low code software development platforms.
Empirical software engineering · 2023
A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months.
Empirical software engineering · 2022 · first author

All 3 publications

Latest funding

Critical incident management using log analytics for cloud-native software systems
NSERC · 2023 · Principal investigator
$55,000
Optimizing quantum imaging and sensing with machine learning
NSERC · 2023 · Co-investigator
$600,000
Human Centric Language Models for Issue Triaging Assistance in Java Runtime Systems
NSERC · 2023 · Principal investigator
$118,000

All 7 grants and awards

3 publications.

01

Automatic prediction of rejected edits in Stack Overflow.

Mondal S, Uddin G, Roy C

Empirical software engineering2023

DOI: 10.1007/s10664-022-10242-2 PMID: 36465999

02

Developer discussion topics on the adoption and barriers of low code software development platforms.

Alamin MAA, Uddin G, Malakar S, Afroz S, Haider T, Iqbal A

Empirical software engineering2023

DOI: 10.1007/s10664-022-10244-0 PMID: 36407813

03

A qualitative study of developers' discussions of their problems and joys during the early COVID-19 months.

Uddin G, Alam O, Serebrenik A

Empirical software engineering2022First author

DOI: 10.1007/s10664-022-10156-z PMID: 35692984

Critical incident management using log analytics for cloud-native software systems

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Uddin, Gias MG

Keywords: anomaly detection; artificial intelligence; cloud-native software; natural language processing; software failure; software log; software monitoring; software observability

$55,000

Optimizing quantum imaging and sensing with machine learning

Co-investigatorNSERC2023Alliance Grants

Principal investigators: Barzanjeh, Shabir SHAB

Keywords: biomedical; deep learning; machine learning; quantum imaging; quantum optical coherence tomography; quantum sensing; quantum technology

$600,000

Human Centric Language Models for Issue Triaging Assistance in Java Runtime Systems

Principal investigatorNSERC2023Alliance Grants

Principal investigators: Uddin, Gias MG

Keywords: java runtime systems; large language models; machine learning; software engineering; software testing

$118,000

Towards building advanced machine learning image translation models to estimate Amyloid-Beta and Tau PET images from structural MRI

Co-investigatorNSERC2022Alliance Grants

Principal investigators: MacDonald, Matthew Ethan MEM

Keywords: Amyloid-Beta; Image Translation; Machine Learning; Magnetic Resonance Imaging; Positron Emission Tomography

$100,000

Knowledge Enhanced Software Library Documentation

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Uddin, Gias

$12,500

One Health Modelling Network for Emerging Infections (OMNI)

Co-investigatorNSERC2020Emerging Infectious Diseases Modelling Initiative (EIDM)

Principal investigators: Zhu, Huaiping

$2,500,000

Modeling and Online Optimization of Hard Rock Drilling for Advanced Geothermal Systems

Co-investigatorNSERC2020Alliance Grants

Principal investigators: Kantzas, Apostolos A

Keywords: Digital Twin; Drilling Automation; Drillstring Dynamics; Geothermal Drilling; Hammer bit; Hard-rock drilling

$584,667

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

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 2023

Subject: Prospective PhD student: Machine Learning Dear Professor Uddin, 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 "Automatic prediction of rejected edits in Stack Overflow." (2023), 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 "Critical incident management using log analytics for cloud-native software systems" (2023), 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]