Todd W. Neller

Papers

Total Citations

H-Index

About

Todd W. Neller is an educator and researcher whose work sits at the intersection of artificial intelligence and computer science pedagogy, with a particular focus on making AI concepts accessible and engaging for students at all levels. His most recognized contribution, "Teaching AI through Machine Learning Projects" (2006), reflects his commitment to experiential, project-based learning as a vehicle for introducing foundational AI theory and practice — an approach that has influenced how introductory AI courses are structured and delivered. His later work, including contributions to the "AI Education Matters" column (2018), demonstrates a sustained dedication to curriculum development, highlighted by his exploration of Hidden Markov Models and their applications in temporal pattern recognition, speech recognition, and robot localization. Neller's research underscores the importance of bridging theoretical AI concepts with practical, real-world applications in educational settings. While his citation counts reflect a specialized academic audience, his influence is perhaps best measured through the generations of students and educators who have benefited from his innovative, hands-on approach to AI instruction and his ongoing efforts to democratize AI education.