Using Synthetic Data Generators to Promote Open Science in Higher Education Learning Analytics. - Mohsen Dorodchi; Erfan Al-Hossami; Aileen Benedict; Elise Demeter (IEEE BigData, 2019)

Teaching an Undergraduate Software Engineering Course using Active Learning and Open Source Projects. - Mohsen Dorodchi; Erfan Al-Hossami; Mohammad Nagahisarchoghaei; Rohit Shenvi Diwadkar; Aileen Benedict (FIE, 2019)

CS1 Scaffolded Activities: The Rise of Students' Engagement. - Mohsen Dorodchi; Aileen Benedict; Erfan Al-Hossami (ICER, 2019)

Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storytelling. - Ahmad Al-Doulat; Nasheen Nur; Alireza Karduni; Aileen Benedict; Erfan Al-Hossami; Mary Lou Maher; Wenwen Dou; Mohsen Dorodchi; Xi Niu (AIED (1), 2020)

Clustering Students' Short Text Reflections: A Software Engineering Course Case Study (Full Paper). - Mohsen Dorodchi; Alexandria Benedict; Erfan Al-Hossami; Andrew Quinn 004; Sandra Wiktor; Aileen Benedict; Mohammadali Fallahian (EDM (Workshops), 2021)

EVIL: Exploiting Software via Natural Language. - Pietro Liguori; Erfan Al-Hossami; Vittorio Orbinato; Roberto Natella; Samira Shaikh; Domenico Cotroneo; Bojan Cukic (ISSRE, 2021)

TeamUNCC@LT-EDI-EACL2021: Hope Speech Detection using Transfer Learning with Transformers. - Khyati Mahajan; Erfan Al-Hossami; Samira Shaikh (LT-EDI@EACL, 2021)

HIJaX: Human Intent JavaScript XSS Generator. - Yaw Frempong; Yates Snyder; Erfan Al-Hossami; Meera Sridhar; Samira Shaikh (SECRYPT, 2021)

Shellcode_IA32: A Dataset for Automatic Shellcode Generation. - Pietro Liguori; Erfan Al-Hossami; Domenico Cotroneo; Roberto Natella; Bojan Cukic; Samira Shaikh (CoRR, 2021)

Pilot Recommender System Enabling Students to Indirectly Help Each Other and Foster Belonging Through Reflections. - Aileen Benedict; Erfan Al-Hossami; Mohsen Dorodchi; Alexandria Benedict; Sandra Wiktor (LAK, 2022)

Can we generate shellcodes via natural language? An empirical study. - Pietro Liguori; Erfan Al-Hossami; Domenico Cotroneo; Roberto Natella; Bojan Cukic; Samira Shaikh (Autom. Softw. Eng., 2022)

A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective. - Erfan Al-Hossami; Samira Shaikh (CoRR, 2022)

Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations. - Erfan Al-Hossami; Razvan C. Bunescu; Ryan Teehan; Laurel Powell; Khyati Mahajan; Mohsen Dorodchi (BEA@ACL, 2023)

Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models. - Smita Nannaware; Erfan Al-Hossami; Razvan C. Bunescu (KaRS@RecSys, 2023)

Can Language Models Employ the Socratic Method? Experiments with Code Debugging. - Erfan Al-Hossami; Razvan C. Bunescu; Justin Smith 008; Ryan Teehan (SIGCSE (1), 2024)

Engineering Serendipity through Recommendations of Items with Atypical Aspects. - Ramit Aditya; Razvan C. Bunescu; Smita Nannaware; Erfan Al-Hossami (CoRR, 2025)