Suresh, A., Jacobs, J., Clevenger, C., Martin, J. and Sumner, T., (under review). The TalkMoves Dataset: K-12 mathematics lesson transcripts annotated for teacher and student discursive moves (submitted). 13th Edition of its Language Resources and Evaluation Conference (LREC 2022)

Jacobs, J., Scornavacco, K., Harty, C., Suresh, A., Lai, V. and Sumner, T. (accepted). Promoting rich discussions in mathematics classrooms: Using personalized, automated feedback to support reflection and instructional change.

Suresh, A., Jacobs, J., Clevenger, C., Lai, V., Tan, C., Ward, W., Martin, J. and Sumner, T., (2021). Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. Paper accepted at the 2021 conference on Artificial Intelligence in Education (AIED 2021).

Suresh, A., Jacobs, J., Clevenger, C., Lai, V., Tan, C., Ward, W., Martin, J. and Sumner, T., (2021). Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. Paper accepted at the 2021 conference on Artificial Intelligence in Education (AIED 2021).

Bhaduri, S., Biddy, Q., Bush, J., Suresh, A., & Sumner, T., (2021). 3DnST: A Framework Towards Understanding Children’s Interaction with Tinkercad and Enhancing Spatial Thinking Skills. Paper accepted for ACM Conference on Interaction Design and Children(IDC 2021).

Suresh, A., Jacobs, J., Lai, V., Tan, C., Ward, W., Martin, J. and Sumner, T., (2021). Using transformers to provide teachers with personalized feedback on their classroom discourse: The TalkMoves Application. Paper accepted and presented at the Spring AAAI 2021 Symposium on Artificial Intelligence for K-12 Education.

Suresh, A., Jacobs, J., Lai, V., Tan, C., Ward, W., Martin, J. and Sumner, T., (2021). Using transformers to provide teachers with personalized feedback on their classroom discourse: The TalkMoves Application. Paper accepted and presented at the Spring AAAI 2021 Symposium on Artificial Intelligence for K-12 Education.

Vereshchaka, Alina, Fan Yang, Wen Dong, Abhijit Suresh, and Ibrahim L. Olokodana. "A Novel Application of Deep Learning to Predict Cognitive Control in Older Adults using EEG Data."

Suresh, A., Sumner, T., Jacobs, J., Foland, B. & Ward, W. (accepted). Automating analysis and feedback to improve mathematics teachers’ classroom discourse. Paper submitted to the ninth symposium on Educational Advances in Artificial Intelligence (EAAI 2019).

Suresh, Abhijit, et al. "Using deep learning to automatically detect talk moves in teachers' mathematics lessons." 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018.

Nguyen, Phuc, et al. "Tyth-typing on your teeth: Tongue-teeth localization for human-computer interface." Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services. ACM, 2018.

TalkBack: Realtime NLP feedback promoting mathematics teachers’ use of high leverage talk moves - T Sumner, A Suresh, B Foland, J Jacobs, W Ward -http://nsfecrconvening.org/talkback-realtime-nlp-feedback-promoting-mathematics-teachers-use-of-high-leverage-talk-moves/

Schneider, Nathan, et al. "A corpus of preposition supersenses." Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016 (LAW-X 2016). 2016.

Suresh, Abhijit, K. V. Harish, and N. Radhika. "Particle swarm optimization over back propagation neural network for length of stay prediction." Procedia Computer Science 46 (2015): 268-275.

Suresh, Abhijit, et al. "Prediction of fight or flight response using artificial neural networks." American Journal of Applied Sciences 11.6 (2014): 912-920.

Kumar, T. Senthil, Abhijit Suresh, and Aadarsh Karumathil. "Improvised classification model for cloud based authentication using keystroke dynamics." Frontier and Innovation in Future Computing and Communications. Springer, Dordrecht, 2014. 885-893