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

Preetha Chatterjee

Assistant Professor

Drexel University

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

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Collaborators (4)

Esteban Parra

Assistant Professor

Belmont University

UNITED STATES

View details

Mia Mohammad Imran

Assistant Professor

Missouri University of Science and Technology

UNITED STATES

View details

Kostadin Damevski

Virginia Commonwealth University

UNITED STATES

View details

Charlotte Hagerman

Assistant Research Professor

Drexel University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Preetha Chatterjee

Research Interests

Make your next move.

Explore related searches

Articles (20)

How Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair

TraceView: Interactive Visualization of Agentic Program Repair Trajectories

Faster Code, Deeper Debt? A Multivocal Literature Review on Technical Debt and Its Early Signs in LLM-Assisted Software Development

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

Towards A Sustainable Future for Peer Review in Software Engineering

Toxicity Ahead: Forecasting Conversational Derailment on GitHub

Feasibility study of an artificial intelligence chatbot-powered cognitive-behavioral lifestyle modification program

Psycholinguistic analyses in software engineering text: A systematic mapping study

What characteristics make ChatGPT effective for software issue resolution? An empirical study of task, project, and conversational signals in GitHub issues

AXE: An Agentic eXploit Engine for Confirming Zero-Day Vulnerability Reports

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

Hierarchical Knowledge Injection for Improving LLM-based Program Repair

AI-Powered Commit Explorer (APCE)

Do LLMs consider security? an empirical study on responses to programming questions

Shifting Narratives in Media Coverage Across a Decade of Drug Discourse in the Philadelphia Inquirer: Qualitative Sentiment Analysis

How Safe Are AI-Generated Patches? A Large-scale Study on Security Risks in LLM and Agentic Automated Program Repair on SWE-bench

Towards Detecting Prompt Knowledge Gaps for Improved LLM-guided Issue Resolution

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads

Exploring ChatGPT for Toxicity Detection in GitHub

Shedding Light on Software Engineering-specific Metaphors and Idioms

Collaborators (4)

Esteban Parra

Mia Mohammad Imran

Kostadin Damevski

Charlotte Hagerman

Make your next move.