karthikLab
| Adjunct Professor, KAIST |
AI for complex systems research landing page (coming soon…)
Graduates, PhDs, Postdocs
Please apply directly to KAIST, then indicate interest in AI co-supervision with me along with a KAIST professor focusing on a domain.
Recent papers
Model-based reinforcement learning for ultrasound-driven autonomous microrobots. Nature Machine Intelligence, 1-15. Medany, M., Piglia, L., Achenbach, L., Mukkavilli, S. K., & Ahmed, D. (2025). [Video]
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks. Bailie, T., Koh, Y. S., Mukkavilli, S. K., & Vetrova, V. (2025). arXiv preprint arXiv:2504.00349.
Higher Order Graph Attention Probabilistic Walk Networks. Bailie, T., Koh, Y. S., & Mukkavilli, K. (2024). arXiv preprint arXiv:2411.12052.
AI-driven autonomous microrobots for targeted medicine. Nature Reviews Bioengineering, 2(11), 914-915. Medany, M., Mukkavilli, S. K., & Ahmed, D. (2024).
Wealth over Woe: Global biases in hydro‐hazard research. Earth’s Future, 12(10), p.e2024EF004590. Stein, L., Mukkavilli, S.K., Pfitzmann, B.M., Staar, P.W., Ozturk, U., Berrospi, C., Brunschwiler, T. and Wagener, T. (2024).
Indus: Effective and efficient language models for scientific applications. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP). (pp. 98–112). Association for Computational Linguistics. Bhattacharjee, B., Trivedi, A., Muraoka, M., Ramasubramanian, M., Udagawa, T., Gurung, I., Pantha, N., Zhang, R., Dandala, B., Ramachandran, R., Maskey, M., Bugbee, K., Little, M., Fancher, E., Gerasimov, I., Mehrabian, A., Sanders, L., Costes, S., Blanco-Cuaresma, S., Lockhart, K., Allen, T., Grezes, F., Ansdell, M., Accomazzi, A., El-Kurdi, Y., Wertheimer, D., Pfitzmann, B., Berrospi Ramis, C., Dolfi, M., Teixeira de Lima, R., Vagenas, P., Mukkavilli, S. K., Staar, P., Vahidinia, S., McGranaghan, R., & Lee, T. (2024).