AntiWare: An automated Android malware detection tool based on machine learning approach and official market metadata. - Nuray Baltaci Akhuseyinoglu; Kamil Akhuseyinoglu (UEMCON, 2016)

PCEX: Interactive Program Construction Examples for Learning Programming. - Roya Hosseini; Kamil Akhuseyinoglu; Andrew Petersen 001; Christian D. Schunn; Peter Brusilovsky (Koli Calling, 2018)

Explaining Need-based Educational Recommendations Using Interactive Open Learner Models. - Jordan Barria-Pineda; Kamil Akhuseyinoglu; Peter Brusilovsky (UMAP (Adjunct Publication), 2019)

Crossing the Borders: Re-Use of Smart Learning Objects in Advanced Content Access Systems. - Hamza Manzoor; Kamil Akhuseyinoglu; Jackson Wonderly; Peter Brusilovsky; Clifford A. Shaffer (Future Internet, 2019)

Exploring Student-Controlled Social Comparison. - Kamil Akhuseyinoglu; Jordan Barria-Pineda; Sergey A. Sosnovsky; Anna-Lena Lamprecht; Julio Guerra 001; Peter Brusilovsky (EC-TEL, 2020)

Personalized Remedial Recommendations for SQL Programming Practice System. - Jordan Barria-Pineda; Kamil Akhuseyinoglu; Peter Brusilovsky; Kerttu Pollari-Malmi; Teemu Sirkiä; Lauri Malmi (UMAP (Adjunct Publication), 2020)

Improving Engagement in Program Construction Examples for Learning Python Programming. - Roya Hosseini; Kamil Akhuseyinoglu; Peter Brusilovsky; Lauri Malmi; Kerttu Pollari-Malmi; Christian Schunn; Teemu Sirkiä (Int. J. Artif. Intell. Educ., 2020)

Integrating personalized online practice into an introductory programming course. - Yana Kortsarts; Kamil Akhuseyinoglu; Jordan Barria-Pineda; Peter Brusilovsky (J. Comput. Sci. Coll., 2020)

Explainable Recommendations in a Personalized Programming Practice System. - Jordan Barria-Pineda; Kamil Akhuseyinoglu; Stefan Zelem-Celap; Peter Brusilovsky; Aleksandra Klasnja-Milicevic; Mirjana Ivanovic (AIED (1), 2021)

Integrating Textbooks with Smart Interactive Content for Learning Programming. - Isaac Alpizar Chacon; Jordan Barria-Pineda; Kamil Akhuseyinoglu; Sergey A. Sosnovsky; Peter Brusilovsky (iTextbooks@AIED, 2021)

Prompting for Free Self-Explanations Promotes Better Code Comprehension (Work In Progress). - Vasile Rus; Kamil Akhuseyinoglu; Jeevan Chapagain; Lasang Jimba Tamang; Peter Brusilovsky (EDM (Workshops), 2021)

Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace Table. - Zak Risha; Jordan Barria-Pineda; Kamil Akhuseyinoglu; Peter Brusilovsky (Koli Calling, 2021)

Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning. - Kamil Akhuseyinoglu; Peter Brusilovsky (UMAP, 2021)

Who are My Peers? Learner-Controlled Social Comparison in a Programming Course. - Kamil Akhuseyinoglu; Aleksandra Klasnja-Milicevic; Peter Brusilovsky (EC-TEL, 2022)

A Study of Worked Examples for SQL Programming. - Kamil Akhuseyinoglu; Ryan Hardt; Jordan Barria-Pineda; Peter Brusilovsky; Kerttu Pollari-Malmi; Teemu Sirkiä; Lauri Malmi (ITiCSE (1), 2022)

DeepCode: An Annotated Set of Instructional Code Examples to Foster Deep Code Comprehension and Learning. - Vasile Rus; Peter Brusilovsky; Lasang Jimba Tamang; Kamil Akhuseyinoglu; Scott Fleming (ITS, 2022)

Context Adaptive Personalized Privacy for Location-based Systems. - Nuray Baltaci Akhuseyinoglu; Kamil Akhuseyinoglu (UMAP (Adjunct Publication), 2022)

Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences. - Kamil Akhuseyinoglu; Peter Brusilovsky (Frontiers Artif. Intell., 2022)

Adaptive Assessment and Content Recommendation in Online Programming Courses: On the Use of Elo-rating. - Boban Vesin; Katerina Mangaroska; Kamil Akhuseyinoglu; Michail N. Giannakos (ACM Trans. Comput. Educ., 2022)

Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System. - Jordan Barria-Pineda; Kamil Akhuseyinoglu; Peter Brusilovsky (HT, 2023)

The Impact of Connecting Worked Examples and Completion Problems for Introductory Programming Practice. - Kamil Akhuseyinoglu; Aleksandra Klasnja-Milicevic; Peter Brusilovsky (EC-TEL (1), 2024)

Engaging an LLM to Explain Worked Examples for Java Programming: Prompt Engineering and a Feasibility Study. - Mohammad Hassany; Peter Brusilovsky; Jiaze Ke; Kamil Akhuseyinoglu; Arun Balajiee Lekshmi Narayanan (HEXED/L3MNGET@EDM, 2024)

Automated Identification of Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Bita Akram; Peter Brusilovsky (CSEDM@EDM, 2024)

Human-AI Co-Creation of Worked Examples for Programming Classes. - Mohammad Hassany; Peter Brusilovsky; Jiaze Ke; Kamil Akhuseyinoglu; Arun Balajiee Lekshmi Narayanan (IUI Workshops, 2024)

Authoring Worked Examples for JAVA Programming with Human AI Collaboration. - Mohammad Hassany; Jiaze Ke; Peter Brusilovsky; Arun Balajiee Lekshmi Narayanan; Kamil Akhuseyinoglu (SAC, 2024)

Exploring Adaptive Social Comparison for Online Practice. - Kamil Akhuseyinoglu; Emma McDonald; Aleksandra Klasnja-Milicevic; Carrie Demmans Epp; Peter Brusilovsky (UMAP (Adjunct Publication), 2024)

Using Self-regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming. - Jordan Barria-Pineda; Deniz Sonmez Unal; Kamil Akhuseyinoglu; Peter Brusilovsky; Erin Walker (AIED (5), 2025)

SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations of Code Examples for Automated Assessment. - Jeevan Chapagain; Arun Balajiee Lekshmi Narayanan; Kamil Akhuseyinoglu; Peter Brusilovsky; Vasile Rus (FLAIRS, 2025)

Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? - Mohammad Hassany; Kamil Akhuseyinoglu; Arun Balajiee Lekshmi Narayanan; Arav Agarwal; Jaromír Savelka; Peter Brusilovsky (FLAIRS, 2025)

Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. - Mohammad Hassany; Peter Brusilovsky; Jaromír Savelka; Arun Balajiee Lekshmi Narayanan; Kamil Akhuseyinoglu; Arav Agarwal; Rully Agus Hendrawan (LAK, 2025)

An Automated Approach to Recommending Relevant Worked Examples for Programming Problems. - Muntasir Hoq; Atharva Patil; Kamil Akhuseyinoglu; Peter Brusilovsky; Bita Akram (SIGCSE (1), 2025)