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College of Liberal Arts & Sciences Neuroscience Program

Lav Varshney

Profile picture for Lav Varshney

Contact Information

314 Coordinated Science Laboratory
Associate Professor, Electrical and Computer Engineering
Research: Connectomics, Neurocomputing, and Neuroengineering

Additional Campus Affiliations

Associate Professor, Electrical and Computer Engineering
Associate Professor, Siebel School of Computing and Data Science
Associate Professor, Industrial and Enterprise Systems Engineering
Associate Professor, Coordinated Science Lab
Associate Professor, Center for Digital Agriculture, National Center for Supercomputing Applications (NCSA)
Associate Professor, Beckman Institute for Advanced Science and Technology
Affiliate, Carl R. Woese Institute for Genomic Biology

Recent Publications

Das, B. K., Varshney, L. R., & Madhok, V. (2025). Simultaneous information and energy transmission through quantum channels. Physical Review A, 111(1), Article 012609. https://doi.org/10.1103/PhysRevA.111.012609

Azimi-Abarghouyi, S. M., & Varshney, L. R. (2024). Compute-Update Federated Learning: A Lattice Coding Approach. IEEE Transactions on Signal Processing, 72, 5213-5227. https://doi.org/10.1109/TSP.2024.3491993

Azimi-Abarghouyi, S. M., & Varshney, L. R. (2024). Federated Learning via Lattice Joint Source-Channel Coding. In 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings (pp. 1623-1628). (IEEE International Symposium on Information Theory - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT57864.2024.10619502

Baltaji, R., Hemmatian, B., & Varshney, L. R. (2024). Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. In V. Prabhakaran, S. Dev, L. Benotti, D. Hershcovich, L. Cabello, Y. Cao, I. Adebara, & L. Zho (Eds.), C3NLP 2024 - 2nd Workshop on Cross-Cultural Considerations in NLP, Proceedings of the Workshop (pp. 17-31). (C3NLP 2024 - 2nd Workshop on Cross-Cultural Considerations in NLP, Proceedings of the Workshop). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.c3nlp-1.2

Baltaji, R., Basu, S., & Varshney, L. R. (2024). Efficient Model-Agnostic Multi-Group Equivariant Networ. Transactions on Machine Learning Research, 2024.

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College of Liberal Arts & Sciences Neuroscience Program

2355/57 Beckman Institute

405 North Mathews Avenue

Urbana, IL 61801

(217) 300-7978

Email: nsp-admin@illinois.edu

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