An image background detection project for a visual exploration of DFS and BFS. - Ali Erkan; Diyan Gochev (SIGCSE, 2008)

Exposure to research through replication of research: a case in complex networks. - Ali Erkan; Sam Newmark; Nicolas Ommen (ITiCSE, 2009)

TIG: a utility for generating course web pages and a case study for teaching data structures. - Ali Erkan (J. Comput. Sci. Coll., 2009)

Discrete mathematics/structures: how do we deal with the late appreciation problem? - David Gries; Michael Eckmann; Ali Erkan; James E. Heliotis (J. Comput. Sci. Coll., 2009)

Use of satellite imagery in multidisciplinary projects. - Ali Erkan; Jason Hamilton; Tom Pfaff; Michael Rogers 003 (SIGCSE, 2010)

Role and value of quantitative instruments in gauging student perspectives in a computing curriculum. - Henry MacKay Walker; Ali Erkan; Mark Guzdial; Steve Cooper (SIGCSE, 2011)

Educating the educator through computation: what GIS can do for computer science. - John Barr 001; Ali Erkan (SIGCSE, 2012)

Sustainability themed problem solving in data structures and algorithms. - Ali Erkan; Tom Pfaff; Jason Hamilton; Michael Rogers 003 (SIGCSE, 2012)

Dictionary-Based Concept Mining: An Application for Turkish. - Cem Rifki Aydin; Ali Erkan; Tunga Güngör; Hidayet Takçi (CoRR, 2014)

Algorithms + Organization = Systems. - Ali Erkan; John Barr 001 (ITiCSE, 2016)

Developing a Holistic Understanding of Systems and Algorithms through Research Papers. - Ali Erkan; John Barr 001; Tony Clear; Cruz Izu; Cristian Jose Lopez Del Alamo; Hanan Mohammed; Nadimpalli V. R. Mahadev (ITiCSE-WGR, 2017)

The educational insights and opportunities afforded by the nuances of Prim's and Kruskal's MST algorithms. - Ali Erkan (ITiCSE, 2018)

A novel introduction to file I/O using KML and google earth. - Elizabeth Vidal Duarte; Ali Erkan (ITiCSE, 2018)

Geographic Information Systems (GIS): Opportunities of Spatial Data Processing for Computer Science Education (Abstract Only). - Ali Erkan; John Barr 001 (SIGCSE, 2018)

Holistic Approaches to Computer Science. - Ali Erkan; John Barr 001; Valerie Barr; Michael Goldweber; Deepak Kumar 002 (SIGCSE, 2018)

Generating Word and Document Embeddings for Sentiment Analysis. - Cem Rifki Aydin; Tunga Güngör; Ali Erkan (CICLing (2), 2019)

Connecting Majors/Non-Majors Courses Via Tabular Data. - Ali Erkan; Adam Lee (ITiCSE, 2019)

Using Google Earth and KML to teach Fundamental Object Oriented Programming. - Elizabeth Vidal Duarte; Eveling Castro Gutierrez; Ali Erkan (SCCC, 2019)

ITiCSE best paper: the educational insights and opportunities afforded by the nuances of Prim's and Kruskal's MST algorithms. - Ali Erkan (Inroads, 2019)

Sentiment Analysis Using Averaged Weighted Word Vector Features. - Ali Erkan; Tunga Güngör (CoRR, 2020)

Analysis of Deep Learning Model Combinations and Tokenization Approaches in Sentiment Classification. - Ali Erkan; Tunga Güngör (IEEE Access, 2023)

Spreadsheets As Hands-on Learning Tools In a Discrete Math/Structures Course. - Ali Erkan; John Barr 001 (J. Comput. Sci. Coll., 2023)

Teaching Dynamic Programming: Top Down or Bottom Up? - Ali Erkan; Suryash Malviya (J. Comput. Sci. Coll., 2025)

An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure. - Ali Erkan; Tunga Güngör (CoRR, 2025)