Preetha Chatterjee

Office: 3675 Market Street, Office 1160, Philadelphia, PA 19104
Email: preetha[dot]chatterjee[at]drexel[dot]edu

Preetha Chatterjee is an Assistant Professor in the Department of Computer Science at Drexel University, where she leads the SOftware Engineering and Analytics Research (SOAR) Lab. Her research focuses on Software Engineering (SE), with an emphasis on developing tools, knowledge sources, and strategies to support software maintenance and improve developer productivity. Her work advances research in areas including LLM-assisted software development and maintenance, developer collaboration in distributed software teams, and knowledge extraction from large-scale software artifacts. Her research has been funded by the National Science Foundation (NSF) and OpenAI.
She earned her M.S. and Ph.D. in Computer Science from the University of Delaware. Prior to her academic career, she worked in the industry as a Software Engineer for more than five years.

Research: Publications in leading SE conferences (ICSE, FSE, ASE, MSR) and journals (EMSE, TOSEM, JSS). [List of publications]
Teaching: Undergraduate and graduate courses in Software Engineering and Software Analytics. [List of courses]
Service: Organizing and program committees in major SE conferences, as well as editorial and reviewer roles for leading journals. [List of roles]

I am currently NOT accepting new PhD students for funded positions. However, I am open to hiring candidates who bring their own external funding or sponsorship (e.g., government scholarships). If you are self-sponsored, please include details of your funding source in your email.

MS or undergraduate students at Drexel interested in working with me are encouraged to reach out via email [Instructions here].

Latest News!

Aug 2026: Received an NSF grant on Preparing AI-Native Software Engineers for Secure Software Development. Thanks NSF!

Jul 2026: Paper accepted at ASE 2026, Research Paper track

Jul 2026: Received an NSF grant on Co-Designing an AI-Supported Empathic Communication Platform for High School Classrooms. Thanks NSF!

Jun 2026: Paper accepted at ICSME 2026, Tool Demo track

Jun 2026: Paper accepted at TOSEM journal

Jun 2026: I received the Drexel CCI Faculty Research Excellence Award

Apr 2026: I will be speaking at the 2026 CRA UR2PhD Workshop in New Orleans, USA.

Jan 2026: One paper accepted at MSR 2026 Mining Challenge track. Another paper accepted at ICSE 2026 FoSE track.

Dec 2025: Paper accepted at ICSE 2026, technical track

Nov 2025: I will be serving as the PC co-chair of MSR 2027

Oct 2025: Paper accepted at IST journal

Sept 2025: Paper accepted at EMSE journal

Aug 2025: Paper accepted at ASE 2025, Research Paper track (Direct acceptance rate: 9.4%)

Aug 2025: I received Open AI Cybersecurity grant to support our research in software security

Media/Blog Coverage

Our paper, "Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub", has sparked interest across both academia and industry. Here are a few selected mentions:

Recognition at FSE 2024: Drexel CCI news

Our research on morality in open source: Compassionate Coding Newsletter

Our research on emotion mining in SE texts: Drexel CCI news

Our research on mining developer chat communications: ABB news

Starting ACM-W Chapter at University of Delaware: UDaily article

Research Focus

Improving LLM-Assisted Bug Resolution and Automated Program Repair

Despite the rapid adoption of LLMs in software development, effectively using them for issue resolution and automated program repair remains challenging. Our research investigates how developers interact with these models, what information and context they need to succeed, and how to design methods that improve repair effectiveness and reliability.

[ASE'25] [MSR'25] [EMSE'25] [ASE'26]

Securing AI-Assisted Software Engineering

AI is increasingly used across software engineering workflows, but it also introduces new security challenges, from vulnerability-prone code generation to the validation of reported weaknesses. Our research studies how AI-assisted development can create or expose security risks, and develops practical methods and tools to detect, confirm, and mitigate those risks in real-world software engineering settings.

[EMSE'25] [Preprint] [Preprint]

Understanding and Governing Agentic AI in Software Engineering

As LLM-based agents become increasingly integrated into software engineering workflows, it is critical to understand how they behave, why they fail, and how their decisions align with developer goals. Our research studies agent behavior in real software workflows, grounds analysis in concrete software artifacts, and lays the foundation for more explainable, trustworthy, and governable agentic systems.

[MSR'26] [ICSME'26]

Quality, Maintainability, and Technical Debt in AI-Generated Software

AI-generated code can improve short-term productivity while also introducing downstream maintenance burden, quality concerns, and technical debt. Our research examines these longer-term effects, identifies early signs of risk, and develops insights that support more sustainable and reliable adoption of AI in software engineering practice.

[TOSEM'26]

Mining Emotions from Software Engineering Communication

Emotions impact collaborative tasks in software development. Positive emotions (e.g., Joy) can enhance productivity and job satisfaction, whereas negative emotions (e.g., Frustration) can lead to reduced motivation and team attrition. This project aims to mine emotions in software-related text to improve collaboration and productivity.

LLMs for emotion detection tasks: [ICSE'26] [ICSE'24_1], [ICSE'24_2], [ICSE NIER'24]
Empirical Studies and Datasets: [ASE'22], [MSR'24], [ICSE'23], [FSE'23_1], [FSE'23_2], [NLBSE'25] [IST'25]

Mining Information from Developer Chat Conversations

Public chat communities (e.g., Slack) contain valuable software development discussions, including API descriptions, best practices, and debugging solutions. This project develops techniques for automatically identifying and extracting useful information to enhance software maintenance tools.

[MSR'22], [TOSEM'21], [ICSE'21], [MSR'20], [MSR'19]

Studying Developer Focus on Q&A Forums

While platforms like Stack Overflow serve as rich knowledge resources, finding relevant answers can be time-consuming. This project develops methods to help developers quickly identify useful code and text within Q&A forums.

[NLBSE'22], [JSS'19]

Learning About Code Snippet Characteristics in Software Artifacts

Large collections of software-related documents (e.g., blogs, bug reports, emails, research articles) offer opportunities to extract knowledge from discussions about code snippets. This project examines how developers describe code in various contexts to enhance documentation, search, and recommendation systems.

[ICSME'25] [SANER'17] [MSR'17]

Publications

2026:

How Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair
Ramtin Ehsani, Irene Manotas, Saurabh Pujar, Luca Buratti, and Preetha Chatterjee
The 41st IEEE/ACM International Conference on Automated Software Engineering (ASE), Research Papers Track, Oct 2026.

Preprint DOI

Faster Code, Deeper Debt? A Multivocal Literature Review on Technical Debt and Its Early Signs in LLM‑Assisted Software Development
Ramtin Ehsani, Shriya Rawal, Yuanfang Cai, and Preetha Chatterjee
Transactions on Software Engineering and Methodology (TOSEM)

DOI

Toxicity Ahead: Forecasting Conversational Derailment on GitHub
Mia Mohammad Imran, Robert Zita, Rahat Rizvi Rahman, Preetha Chatterjee, and Kostadin Damevski
The 48th International Conference on Software Engineering (ICSE), Research Track, Apr 2026.

Preprint

TraceView: Interactive Visualization of Agentic Program Repair Trajectories
Amirali Sajadi, Tu Nguyen, Kimmie Huynh, Esteban Parra, and Preetha Chatterjee
The 42nd International Conference on Software Maintenance and Evolution (ICSME), Tool Demonstration and Data Showcase Track, Sept 2026.

Preprint Demo Video

Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
Ramtin Ehsani, Sakshi Pathak, Shriya Rawal, Abdullah Al Mujahid, Mia Mohammad Imran, and Preetha Chatterjee
The 23rd International Conference on Mining Software Repositories (MSR), Mining Challenge Track, Apr 2026.

Preprint Recorded Talk DOI

Towards A Sustainable Future for Peer Review in Software Engineering
Esteban Parra, Sonia Haiduc, Preetha Chatterjee, Ramtin Ehsani, and Polina Iaremchuk
The 48th International Conference on Software Engineering (ICSE), Future of Software Engineering (FoSE) Track, Apr 2026.

Preprint

Feasibility Study of an AI Chatbot‑Powered Cognitive‑Behavioral Lifestyle Modification Program
Evan M. Forman, Charlotte J. Hagerman, Asher E. Hong, Zhuoran Huang, Hannah C. McCausland, Jasmine H. Sun, Lauren C. Taylor, Meghan L. Butryn, Preetha Chatterjee, Ramtin Ehsani, Nawal Syed
Annals of Behavioral Medicine, Jul 2026.

DOI

2025:

Hierarchical Knowledge Injection for Improving LLM-based Program Repair
Ramtin Ehsani, Esteban Parra Rodriguez, Sonia Haiduc, and Preetha Chatterjee
The 40th IEEE/ACM International Conference on Automated Software Engineering (ASE), Research Papers Track, Nov 2025.

Preprint Recorded Talk DOI

What Characteristics Make ChatGPT Effective for Software Issue Resolution? An Empirical Study of Task, Project, and Conversational Signals in GitHub Issues
Ramtin Ehsani, Sakshi Pathak, Esteban Parra Rodriguez, Sonia Haiduc, and Preetha Chatterjee
Journal of Empirical Software Engineering (EMSE), Sept 2025.

Preprint DOI

Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
Amirali Sajadi, Kostadin Damevski, and Preetha Chatterjee
Journal of Information and Software Technology (IST), Oct 2025.

Preprint DOI

Do LLMs Consider Security? An Empirical Study on Responses to Programming Questions
Amirali Sajadi, Binh Le, Anh Nguyen, Kostadin Damevski, and Preetha Chatterjee
Journal of Empirical Software Engineering (EMSE), Apr 2025.

Preprint DOI Blog Post

Towards Detecting Prompt Knowledge Gaps for Improved LLM‐guided Issue Resolution
Ramtin Ehsani, Sakshi Pathak, and Preetha Chatterjee
The 22nd International Conference on Mining Software Repositories (MSR), Technical Track, Apr 2025.

Preprint DOI

AI‑Powered Commit Explorer (APCE)
Yousab Grees, Polina Iaremchuk, Ramtin Ehsani, Esteban Parra, Preetha Chatterjee, and Sonia Haiduc
41st International Conference on Software Maintenance and Evolution (ICSME), Tool Demonstration Track, Sept 2025.

Preprint Demo DOI

Analyzing Toxicity in Open Source Software Communications Using Psycholinguistics and Moral Foundations Theory
Ramtin Ehsani, Rezvaneh (Shadi) Rezapour, and Preetha Chatterjee
The 4th International Workshop on Natural Language‐based Software Engineering (NLBSE), co‐located with ICSE, Apr 2025.

Preprint DOI

Shifting Narratives in Media Coverage: A Decade of Drug Discourse in The Philadelphia Inquirer
Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, and Rezvaneh (Shadi) Rezapour
Journal of Medical Internet Research (JMIR) Infodemiology, Jan 2025

Preprint DOI

2024:

Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
Ramtin Ehsani, Mia Mohammad Imran, Robert Zita, Kostadin Damevski, and Preetha Chatterjee
The 21st International Conference on Mining Software Repositories (MSR), Data Showcase Track, Apr 2024.

Preprint Dataset Slides DOI

Exploring ChatGPT for Toxicity Detection in GitHub
Shyamal Mishra, and Preetha Chatterjee
The 46th International Conference on Software Engineering (ICSE), New Ideas and Emerging Results Track, Apr 2024.

Preprint DOI Slides

Shedding Light on Software Engineering-specific Metaphors and Idioms
Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski
The 46th International Conference on Software Engineering (ICSE), Research Track, Apr 2024.

Preprint DOI Slides

Uncovering the Causes of Emotions in Software Developer Communication Using Zero-shot LLMs
Mia Mohammad Imran, Preetha Chatterjee, and Kostadin Damevski
The 46th International Conference on Software Engineering (ICSE), Research Track, Apr 2024.

Preprint DOI Slides Blog Post

2023:

Exploring Moral Principles Exhibited in OSS: A Case Study on GitHub Heated Issues
Ramtin Ehsani, Rezvaneh Rezapour, and Preetha Chatterjee
The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Ideas, Visions and Reflections Track, Dec 2023.

Preprint DOI

Towards Understanding Emotions in Informal Developer Interactions: A Gitter Chat Study
Amirali Sajadi, Kostadin Damevski, and Preetha Chatterjee
The 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Ideas, Visions and Reflections Track, Dec 2023.

Preprint DOI

Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests
Amirali Sajadi, Kostadin Damevski, and Preetha Chatterjee
The 45th International Conference on Software Engineering (ICSE), New Ideas and Emerging Results Track, May 2023.

Preprint DOI Slides

The Evolution of Substance Use Coverage in the Philadelphia Inquirer
Layla Bouzoubaa, Ramtin Ehsani, Preetha Chatterjee, and Rezvaneh Rezapour
The 17th International AAAI Conference On Web And Social Media (ICWSM), Data Challenge, Jun 2023.

Preprint DOI

2022:

Data Augmentation for Improving Emotion Recognition in Software Engineering Communication
Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, and Kostadin Damevski
The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), Research Track, Oct 2022.

Preprint DOI Slides

DISCO: A Dataset of Discord Chat Conversations for Software Engineering Research
Keerthana Muthu Subash, Lakshmi Prasanna Kumar, Sri Lakshmi Vadlamani, Preetha Chatterjee and Olga Baysal
The 19th International Conference on Mining Software Repositories (MSR), Data Showcase Track, May 2022.

Preprint DOI Dataset

Automatic Identification of Informative Code in Stack Overflow Posts
Preetha Chatterjee
The 1st International Workshop on Natural Language-based Software Engineering (NLBSE), co-located with ICSE, May 2022.

Preprint DOI Slides Talk

Empirical Standards for Repository Mining
Preetha Chatterjee, Tushar Sharma, Paul Ralph
The 19th International Conference on Mining Software Repositories (MSR), Tutorial, May 2022, May 2022.

Preprint DOI Empirical Standards

2021:

Automatic Extraction of Opinion-based Q&A from Online Developer Chats
Preetha Chatterjee, Kostadin Damevski, and Lori Pollock
The 43rd International Conference on Software Engineering (ICSE), Technical Track, May 2021.

Preprint DOI Slides Talk

Automatically Identifying the Quality of Developer Chats for Post Hoc Use
Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, and Lori Pollock
Transactions on Software Engineering and Methodology (TOSEM), Feb2021

Preprint DOI Slides Talk

Mining Information from Developer Chats Towards Building Software Maintenance Tools (Ph.D. Thesis)
Preetha Chatterjee
University of Delaware

Manuscript

2020:

Software-related Slack Chats with Disentangled Conversations
Preetha Chatterjee, Kostadin Damevski, Nicholas A. Kraft, and Lori Pollock
The 17th International Conference on Mining Software Repositories (MSR), Data Showcase Track, Oct 2020. Seoul, South Korea

Preprint DOI Dataset Slides Talk

Extracting Archival-Quality Information from Software-Related Chats
Preetha Chatterjee
The 42nd International Conference on Software Engineering (ICSE), Doctoral Symposium Track, Oct 2020. Seoul, South Korea

Preprint DOI Slides

Finding Help with Programming Errors: An Exploratory Study of Novice Software Engineers’ Focus in Stack Overflow Posts
Preetha Chatterjee, Minji Kong, Lori Pollock
Journal of Systems and Software (JSS), Research Paper, Jan 2020.

Preprint DOI Slides Talk

2019:

Exploratory Study of Slack Q&A Chats as a Mining Source for Software Engineering Tools
Preetha Chatterjee, Kostadin Damevski, Lori Pollock, Vinay Augustine, and Nicholas A. Kraft
The 16th International Conference on Mining Software Repositories (MSR), Research Track, May 2019. Montreal, Canada

Preprint DOI Slides Press Coverage

2017:

Extracting Code Segments and Their Descriptions from Research Articles
Preetha Chatterjee, Benjamin Gause, Hunter Hedinger, and Lori Pollock
The 14th International Conference on Mining Software Repositories (MSR), Research Track, May 2017. Buenos Aires, Argentina

Preprint DOI Slides

What Information about Code Snippets Is Available in Different Software-Related Documents? An Exploratory Study
Preetha Chatterjee, Manziba Akanda Nishi, Kostadin Damevski, Vinay Augustine, Lori Pollock, and Nicholas A. Kraft
The 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), Early Research Achievements Track, Feb 2017. Klagenfurt, Austria

Preprint DOI

2015:

Exploring the Generality of a Java-based Loop Action Model for the Quorum Programming Language (Ph.D. Preliminary Project)
Preetha Chatterjee
University of Delaware

Manuscript

Teaching

Fall 2026: Introduction to Software Engineering and Development (SE 201) @ Drexel University [Instructor]

Spring 2026: Software Analytics (SE 611) @ Drexel University [Instructor] -- Course Syllabus

Fall 2025: Introduction to Software Engineering and Development (SE 201) @ Drexel University [Instructor]

Fall 2024: Introduction to Software Engineering and Development (SE 201) @ Drexel University [Instructor]

Fall 2023: Introduction to Software Engineering and Development (SE 181) @ Drexel University [Instructor]

Spring 2023: Software Analytics (CS T680) @ Drexel University [Instructor]

Fall 2022: Introduction to Software Engineering and Development (SE 181) @ Drexel University [Instructor]

Spring 2022: Introduction to Software Engineering and Development (SE 181) @ Drexel University [Instructor]

Fall 2021: Introduction to Software Engineering and Development (SE 181) @ Drexel University [Instructor]

Summer 2019: Introduction to Computer Science II (CISC 181) @ University of Delaware [Instructor]

Fall 2018: Intro to Computer Science Research (CISC 367) @ University of Delaware [Substitute Instructor]

Spring 2018: Communication Skills for CS Researchers (CISC 667) @ University of Delaware [Substitute Instructor]

Fall 2017: Advanced Software Systems: Text Analysis for Software Engineering (CISC 879) @ University of Delaware [Substitute Instructor]

Spring 2016: Advanced Web Technologies (CISC 474) @ University of Delaware [Teaching Assistant]

Fall 2015: Web Applications using Computer Science (CISC 103) @ University of Delaware [Teaching Assistant]

Spring 2015: General Computer Science for Engineers (CISC 106) @ University of Delaware [Teaching Assistant]

Fall 2014: Introduction to Computer Science II (CISC 181) @ University of Delaware [Teaching Assistant]

Service

Academic Service

At Drexel, along with Dr. Colin Gordon, I co-lead the Drexel Programming Systems seminar.
Beyond Drexel, a subset of my academic service is available as a snapshot on my conf.researchr.org profile .

Below is a brief (selected) listing of my service to the Software Engineering research community.

Editorial Board:

Journal of Systems of Software (2021-2024)

Organizing Committee:

PC Co-chair, 24th Intl. Conf. on Mining Software Repositories (MSR 2027)
Tutorials Co-chair, 22nd Intl. Conf. on Mining Software Repositories (MSR 2025)
Journal‐first Co‐Chair, 32nd IEEE/ACM Intl. Conf. on Program Comprehension (ICPC 2024)
Mining Challenge Co‐Chair, 21st Intl. Conf. on Mining Software Repositories (MSR 2024)
NIER PC co‐Chair, 23nd IEEE Intl. Conf. on Source Code Analysis and Manipulation (SCAM 2023)
PC Co-Chair, 3rd International Workshop on Software Engineering and AI for Data Quality in Cyber‐Physical Systems/Internet of Things (SEA4DQ 2023)
Diversity and Inclusion co-Chair, International Conference on Mining Software Repositories (MSR 2023)
PC Co-Chair, 1st International Workshop on Recruiting Participants for Empirical SE (RoPES 2022)
Editorial Board, Journal of Systems and Software (JSS), 2021 - Present
Conference social media chair for the International Conference on Mining Software Repositories (MSR 2020, 2022)

Program Committee Member:

International Conference on Software Engineering (ICSE 2026 - Technical Track)
International Conference on Automated Software Engineering (ASE 2025 - TechnicalTrack)
International Conference on Software Engineering (ICSE 2025 - Technical Track)
The Foundations of Software Engineering (FSE 2025 - Technical Track)
International Conference on Software Engineering (ICSE 2024 - Technical Track)
The Foundations of Software Engineering (ESEC/FSE 2024 - Technical Track)
International Conference on Mining Software Repositories (MSR 2024 - Technical Track)
The Foundations of Software Engineering (ESEC/FSE 2023 - Technical Track) -- Distinguished Reviewer
International Conference on Software Engineering (ICSE 2023 - SEIP Track)
International Conference on Mining Software Repositories (MSR 2023 - Technical Track)
International Workshop on Natural Language-based Software Engineering (NLBSE 2023)
International Conference on Mining Software Repositories (MSR 2022 - Technical Track)
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2022 - ERA Track)
International Conference on Software Engineering (ICSE 2022 - SEET Track)
International Conference on Software Maintenance and Evolution (ICSME 2021 - Tool Demo Track)
International Conference on Mining Software Repositories (MSR 2021 - Mining Challenge Track)
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2021 - ERA Track)

Journal Reviewer:

Empirical Software Engineering (EMSE)
Transactions on Software Engineering and Methodology (TOSEM)
Transactions on Software Engineering (TSE)
Journal of Systems and Software (JSS)
Automated Software Engineering (ASE)
Information and Software Technology (IST)

Professional Memberships and Affiliations

Lifetime Member, Association for Computing Machinery (ACM)

Member, Institute of Electrical and Electronics Engineers (IEEE)

Member, Association for Computing Machinery, Special Interest Group on Software Engineering (ACM-SIGSOFT)

Member, Association for Computing Machinery, Women (ACM-W)

Students

SOAR Lab, May 2024

Current Students

Ramtin Ehsani, (2023-Present), Ph.D. Student, Drexel University

Amirali Sajadi (2022-Present), Ph.D. Student, Drexel University

Sakshi Pathak (WI'24-Present), M.S. Student, Drexel University

Shriya Rawal (WI'25-Present), M.S. Student, Drexel University

Mokshad Sankhe (SP'26-Present), M.S. Student, Drexel University

John Nguyen (FA'25-Present), Undergraduate Student, Drexel University

Amoz Lee (WI'26-Present), Undergraduate Student, Drexel University

Former Students

Kimmie Huynh (WI'26-SP'26), Undergraduate Student, Drexel University

Moon Mustafa (SP'25-SU'25), Undergraduate Student, Drexel University

Taqi Tahmid (SU'24), Undergraduate Student, Drexel University

Binh Le (SP'24-SU'24), Undergraduate Student, Drexel University

Anh Nguyen (SP'24, SU'24), Undergraduate Student, Drexel University

Giles Odigwe (SP'24), Undergraduate Student, Drexel University

Mustafa Bookwala (WI'24), Undergraduate Student, Drexel University

Shyamal Mishra (SU'23), M.S. Student, Drexel University

Vanessa Martinez (WI'23), Undergraduate Student, Drexel University

Thomas Do (WI'22), Undergraduate Student, Drexel University

Yashasvi Jain (2021-2022), Undergraduate Student, Drexel University

Brian Phillips (2019-2020), Undergraduate Student, University of Delaware

Humpher Owusu (2019-2020), Undergraduate Student, University of Delaware

Kevin Mason (2019-2020), Undergraduate Student, University of Delaware

Minji Kong (2018), Undergraduate Student, University of Delaware

Qilin Ma (2017), Undergraduate Student, University of Delaware

Benjamin Gause (2016), Undergraduate Student, University of Delaware

Hunter Hedinger (2016), Undergraduate Student, University of Delaware

Prospective Students

I am generally on the lookout for highly motivated students (at all levels - undergrad, MS, and PhD) with strong academic background to work at the intersection of software engineering, machine learning, and natural language processing at Drexel University.

Qualifications: An ideal candidate has strong programming skills, communication/writing skills, and willingness to learn. Experience in software engineering and machine learning research are a plus.

How to Apply: Please submit the following documents via email to preetha.chatterjee@drexel.edu under the subject “Potential Student Application”.

Brief cover letter including: your research interests, outline of previous research experience, preferred start date

Your current resume/CV (including major accomplishments e.g., projects, publications, awards, etc.)

One or two references that I can contact for a letter of reference (e.g., previous supervisors, instructors)

Unofficial Transcripts

Sample publications (if any)

I encourage you to include links to any projects/software that you have worked on. The review of applications will begin immediately and will continue until the positions are filled. I will carefully go through all the applications, and contact potentially eligible candidates for a brief interview (via Zoom).

Resources For Applying To Drexel University: All PhD students are fully supported with an assistantship in the Computer Science PhD program at Drexel University. Assistantships may be in the form of research, teaching or a combination of the two. These assistantships carry appropriate stipend, tuition remission, and subsidized health insurance. PhD admissions are rolling until department closes review (no hard deadlines). If you are thinking about applying to the Ph.D. program at Drexel University, I have included some resources:

Drexel University Graduate Program Admissions

Drexel University PhD in Computer Science Admissions and Requirements

If you are already a student at Drexel University, feel free to email me to discuss potential research opportunities.