Aakash Bansal

Assistant Professor

Contact

abansal@lsu.edu
Office 3272Y
Patrick F. Taylor Hall

Educational Background

Ph.D. of Computer Science - University of Notre Dame 2024

MSc. Computer Science in ML - University of Surrey 2017

BSc. Computer Systems Engineering (EECS) - Lancaster University 2014

Aakash Bansal

  •  CSC 4332: Software Quality and Testing
  • Software Engineering
  • Artificial Intelligence
  • Code Security and Privacy
  • Eye-Tracking
  • Human Factors in AI/SE 
  • Su, C., Bansal, A., McMillan, C., "Revisiting File Context for Source Code Summarization", in Automated Software Engineering (ASE Journal), accepted, 2024.
  • Karas, Z., Bansal, A., Zhang, Y., Li, T., McMillan, C., Huang, Y., "A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization", in ACM Transactions on Software Engineering and Methodology (TOSEM), 2024.
  • Su, C., Bansal, A., Jain, S., Ghanavati, S., McMillan, C., "A Language Model of Java Methods with Train/Test Deduplication", in 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Demonstrations (FSE'23 Demos), December 3 - 9, 2023.
  • Bansal, A., Su, C., Karas, Z, Zhang, Y., Huang, Y., Li, T., McMillan, C., "Modeling Programmer Attention as Scanpath Prediction", in 38th IEEE/ACM International Conference on Automated Software Engineering, New Ideas and Emerging Results (ASE'23 NIER), September 11 - 15, 2023.
  • Bansal, A., Eberhart, Z., Karas, Z., Huang, Y., McMillan, C., "Function Call Graph Context Encoding for Neural Source Code Summarization", in Transactions on Software Engineering (TSE), vol. 49, no. 9, September 2023.
  • Bansal, A., Sharif, B., McMillan, C., "Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization", in 15th ACM Symposium of Eye Tracking Research & Applications (ETRA'23), May 30 - June 2, 2023.
  • Haque, S., Eberhart, Z., Bansal, A., McMillan, C., "Semantic Similarity Metrics for Evaluating Source Code Summarization", in 30th International Conference on Program Comprehension (ICPC'22), May 16 - 17, 2022.
  • Bansal, A., Haque, S., McMillan, C., "Project-Level Encoding for Neural Source Code Summarization of Subroutines", in 29th IEEE/ACM International Conference on Program Comprehension (ICPC'21), May 18-20, 2021.
  • Bansal, A., Eberhart, Z., Wu, L., McMillan, C., "A Neural Question Answering System for Basic Questions about Subroutines", in 28th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER'21), March 9-12, 2021.
  • Eberhart, Z., Bansal, A., McMillan, C., "A Wizard of Oz Study Simulating API Usage Dialogues with a Virtual Assistant", in Transactions on Software Engineering (TSE), accepted.
  • IEEE/TCSE Distinguished Paper Award 2021