Aakash Bansal
PhD in CSE, University of Notre Dame
Hi! I am a tenure-track Assistant Professor of Computer Science at Louisiana State University at the AI4SE Lab at LSU. In the spring I teach CSC 4332- Software Quality and Testing.
I recently earned my PhD from the University of Notre dame advised by Prof. Collin McMillan in the Automatic Program Comprehension Lab (APCL). Before that, I earned my Masters in Computer Vision and Machine Learning at the University of Surrey with distinction. I work on developing Artificial Intelligence (AI) techniques with applications in Software Engineering (SE). My research interests are at the intersection of AI and SE. My long-term research objective is to bridge the gap between human program comprehension and automatic program comprehension. My short-term research focus is the advancement of neural networks specializing in modeling source code. Specifically, source code summarization, a well-defined task of taking source code and generating natural language descriptions, with applications in code documentation, education, and software maintainance to name a few. I am also interested in bio-inspired machine intelligence that drives my ongoing research.
I welcome any emails for collaborations!
news
| Nov 5, 2025 | Our collaborative paper Programmers’ Visual Attention on Function Call Graphs During Code Summarization, received a ACM Distinguished Paper Award. |
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| Sep 15, 2025 | Our collaborative paper Programmers’ Visual Attention on Function Call Graphs During Code Summarization, accepted at the top SE ASE 2025. |
| Jul 15, 2025 | Our paper Context Aware Code Summary Generation, accepted at the JSS Journal. |
| Mar 22, 2025 | Our paper Programmer Visual Attention During Context-Aware Code Summarization, accepted at the top SE journal TSE. |
| Aug 15, 2024 | Our paper A Tale of Two Comprehensions? Analyzing Student Programmer Attention during Code Summarization, accepted at the ACM Transactions on Software Engineering and Methodology (TOSEM). |