I am currently a Ph.D. student candidate (Dec, 2023) at ECE@Purdue. I am supervised by Prof. James C. Davis. I am on the job market this year!

My research interest is mainly focused on Software engineering for AI (SE4AI) and AI Supply Chain Security, and specifically on improving the trustworthiness and reusability in open-source AI model supply chain. I am also interested in studying machine learning systems, software supply chain security, and trustworthy/responsible AI.

My work adapts methods from studies on traditional software package registries (e.g., NPM, PyPI) to open-source pre-trained AI model (PTM) supply chain. I currently work on developing novel approaches to enhancing multiple aspects of the PTM supply chain , including trustworthiness, reusability, and security.

Here is a list of projects that I am actively working on:

• Trustworthiness: Anomaly detection for PTM naming and architectural defects.
• Reusability: PTM recommendation system considering engineering requirements.
• Security: Defense against Pickle deserialization vulnerabilities in PTMs.

My work has been published at EMSE’24, ISSTA’24, ESEM’24, MSR’24, ICSE’23, MSR’23, ESEC/FSE’22, ASE’22, SCORED’22. I am also the recipient of the Estus H. and Vashti L. Magoon Research Excellence Award in 2025!

I am also the leader of Purdue’s Pre-Trained Models in Deep Learning VIP team (previously TensorFlow Model Garden VIP team where we collaborated with Google).

News

• March 2025: I am glad to be honored the Estus H. and Vashti L. Magoon Research Excellence Award! 🎉
• January 2025: I am grateful to be funded by Socket during the spring semester, enabling me to conduct further research on software supply chain security.
• December 2024: Our paper “Recommending Pre-Trained Models for IoT Devices” has been accepted to SERP4IoT’25 🎉 !
• December 2024: I finished my 6-month internship at Socket as a Research Intern! I am very grateful for the opportunity to work with such a great team and learn a lot from them.
• October 2024: I will serve as a Junior PC member for TechDebt’25 research track.
• September 2024: I will serve as a Junior PC member for MSR’25 research track.
• August 2024: I will serve as a PC member for ICSE’25 artifact evaluation track.
• August 2024: Our EMSE paper “Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision” will be presetned at ASE’24 (journal-first track) 🎉! See you in Sacramento, CA.
• July 2024: I will serve as a Shadow PC member for ICSE’25.
• July 2024: Our paper “Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters” has been accepted to ISSTA’24 🎉!
• June 2024: Our paper “Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision” has been accepted to EMSE 🎉!
• June 2024: Our paper “What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims” has been accepted to ESEM’24 🎉!
• June 2024: I am excited to announce that I will be joining Socket as a Research Intern this Summer and Fall!
• May 2024: I am invited to give a talk in Research Data Alliance FAIR for Machine Learning task force (FAIR4ML IG). Welcome to my talk on May 21st, 2024!
• April 2024: Attending MSR and ICSE 2024 in Lisbon, Portugal. I presented our MSR technical paper PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software.
• April 2024: I am invited to the Future Leader Summit for Responsible AI by the Michigan Institute for Data Science (MIDAS).
• April 2024: Previous REU student and collaborator Matt Hyatt receives NSF GRFP and DOD NDSEG fellowships. Big congrats to Matt! 🎉
• Feb 2024: Our paper PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software has been accepted to MSR’24.
• Dec 2023: Passed my Ph.D. preliminary exam! 🎉

Mentorship

I am delighted to mentor and collaborate with the following students:

Ph.D.

• Huiyun Peng (ECE@Purdue)
• Daniel Lugo (ECE@Purdue)
• Haoyu Gao (CS@University of Melbourne)
• Jerin Yasmin (CS@Queen’s University)
• Nicholas Synovic (CS@Loyola University Chicago)
• Vishal Purohit (ECE@Purdue, Research Intern@AMD Gen AI)
• Purvish Jajal (ECE@Purdue)

MSc

Graduated

• Jason Jones (ECE@Purdue, SE@BotDojo)

Current

• Parth Patil (ECE@Purdue)

Undergraduate

Graduated

• Diego Montes (ECE@Purdue, Flight SE@SpaceX)
• Vishnu Banna (ECE@Purdue, MLEng@Apple)
• Naveen Vivek (ECE@Purdue, SE@AMD)
• Feny Patel (ECE@Purdue, SE@Meta)
• Ananya Singh (CS+DS@Purdue, SE@Google)
• Pongpatapee (Dan) Peerapatanapokin (ECE@Purdue, Application Analyst@Cummins)
• Ibrahim Saeed (CS@Purdue, SE@Magnite)
• Shen Kuo (CS@Purdue, Pursuing MSc@Purdue)
• Heesoo Kim (ECE@Purdue, SE intern@Samsung, Pursuing MSc@Purdue)
• Matt Hyatt (CS@Loyola University Chicago, Pursuing PhD@Loyola University Chicago)
• Dulani Wijayarathne (ECE@purdue, Pursuing PhD@GeorgiaTech)

Not graduated

• Mingyu Kim (ECE@Purdue)
• Chingwo Cheung (ECE@Purdue, MLEng@CIMS.AI)
• Arav Tewari (CS@Purdue, SE intern@Paypal)
• Bhavesh Pareek (CS@Purdue, SE intern@Amazon)
• Adrien Qi (CS+Math@Purdue, SE intern@Meta)
• Akshath Raghave R (ECE@Purdue)
• Nathaniel Bielanski (ECE@Purdue)
• Shiva Sai Vummaji (CS+DS@Purdue)
• Isaac In (CS@Purdue)
• Yash Mehta (CS@Purdue)
• Aaryan Srivastava (CS@Purdue)
• Aryan Indarapu (ECE@UIUC)
• Rohan Sethi (CS@Loyola University Chicago)