Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Mia Mohammad Imran

Assistant Professor

Missouri University of Science and Technology

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States Professors in Artificial Intelligence Artificial Intelligence professors in United States

About

Mia Mohammad Imran is an Assistant Professor at Missouri University of Science and Technology in the United States. Her research focuses on the intersection of software development and information retrieval, with recent work emphasizing the use of clarification questions to enhance software developers' web search processes. She is dedicated to advancing understanding in this dynamic field through her scholarly contributions.

Articles (12)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2022

Collaborators (4)

Preetha Chatterjee

Assistant Professor

Drexel University

UNITED STATES

View details

Kostadin Damevski

Virginia Commonwealth University

UNITED STATES

View details

Ce Zhou

Assistant Professor at Missouri University of Science and Technology

Missouri University of Science and Technology

UNITED STATES

View details

Tarannum Shaila Zaman

Assistant Professor

University of Maryland Baltimore County

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mia Mohammad Imran

Research Interests

Make your next move.

Explore related searches

About

Articles (12)

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub

Toxicity Ahead: Forecasting Conversational Derailment on GitHub

Empirical Study on the Characteristics and Evolution of AI-usage in GitHub Repositories: Evidence from Code Comments

DePro: Understanding the Role of LLMs in Debugging Competitive Programming Code

OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering

A Low-Cost Human-in-the-Loop Investigation of Toxicity on GitHub at Scale

Learning Programming in Informal Spaces: Using Emotion as a Lens to Understand Novice Struggles on r/learnprogramming

“TODO: Fix the Mess Gemini Created”: Towards Understanding GenAI-Induced Self-Admitted Technical Debt

LLPut: Investigating Large Language Models for Bug Report-Based Input Generation

“Silent Is Not Actually Silent”: An Investigation of Toxicity on Bug Report Discussion

Using clarification questions to improve software developers’ Web search

Collaborators (4)

Preetha Chatterjee

Kostadin Damevski

Ce Zhou

Tarannum Shaila Zaman

Make your next move.