Amogh Mannekote

Ph.D. Student, Computer Science, University of Florida

Amogh is a PhD student in Computer Science advised by Dr. Kristy Boyer. His primary research interest is in applying ML and NLP techniques to improve human-computer collaboration. Since graduating with a Bachelor's in Computer Science, he has worked at multiple AI startups as well as a research laboratory that specialized in robotics. He is currently part of the CUE project.


Ph.D., Computer Science (Expected 2026)
   University of Florida

Bachelor's Degree, Computer Science (2018)
   Ramaiah Institute of Technology


conference papers
[3]Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts. Xiaoyi Tian, Amogh Mannekote, Carly E. Solomon, Yukyeong Song, Christine Fry Wise, Tom Mcklin, Joanne Barrett, Kristy Elizabeth Boyer, Maya Israel. Proceedings of the 17th International Conference on Educational Data Mining (EDM), 2024, pp. To appear. [bib]
[2]Exploring Usability Issues in Instruction-Based and Schema-Based Authoring of Task-Oriented Dialogue Agents. Amogh Mannekote, Mehmet Celepkolu, Joseph B. Wiggins, Kristy Elizabeth Boyer. Proceedings of the 5th International Conference on Conversational User Interfaces, 2023, pp. 1-6. [bib] [doi]
[1]Don't Just Paste Your Stacktrace: Shaping Discussion Forums in Introductory CS Courses. Amogh Mannekote, Mehmet Celepkolu, Aisha Chung Galdo, Kristy Elizabeth Boyer, Maya Israel, Sarah Heckmann, Kristin Stephens-Martinez. Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE), 2022, pp. 1164-1164. [bib] [doi]