Aditya Vadlamani

Aditya Vadlamani's work spans several distinct areas within computer science, including graph-based machine learning (such as heterogeneous graph neural networks and graph pattern mining), auditing and ethical evaluation of AI systems, and online/educational technology (MOOC platforms and engineering design education). Prospective students would likely engage with topics ranging from algorithmic and statistical methods for graph data to practical questions about how AI systems behave in real-world deployment and how online learning tools can be designed and evaluated.

Publication output was minimal or absent in the earlier part of the decade but has become more frequent and steady since 2022, averaging about two publications per year over the last five years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026