I am an Assistant Professor in the Electrical and Computer Engineering department at Michigan State University. Previously I was a postdoctoral associate in Electrical & Computer Engineering at the University of Minnesota, Twin Cities, and a member of the Signal Processing in Networking and Communications (SPiNCOM) group under the supervision of Professor Georgios B. Giannakis.
My research interests include statistical learning, machine learning, statistical signal processing, and information theory. My group works on learning with noisy labels and crowdsourcing, weak and self-supervised learning, and learning and computation over graphs. See the research projects page for an overview, and the group page for the people behind it.
Contact
Engineering Building, Electrical & Computer Engineering
428 S. Shaw Lane, Rm 2308M
East Lansing, MI 48824-1226
traganit@msu.edu
News
- September 2026. Two papers accepted at the Asilomar Conference on Signals, Systems, and Computers, on estimating time-varying signals over evolving graphs and on aggregating self-supervised tasks for semi-supervised learning.
- July 2026. Delivered (remotely) the tutorial Learning with Noisy Crowdsourced Labels: Insights from Signal Processing at IEEE SAM 2026 in Shenzhen, China, with X. Fu and G. B. Giannakis.
- July 2025. Started serving as Associate Editor for IEEE Transactions on Signal Processing.
- May 2025. Our overview article Learning from Crowdsourced Noisy Labels: A Signal Processing Perspective appeared in IEEE Signal Processing Magazine.
- September 2024. Our paper Ensembles of Informative Representations for Self-Supervised Learning received the second-place best paper award at IEEE MLSP 2024.
- June 2023. Our NSF CIF Medium project Robust Learning over Graphs began, jointly with S. Aviyente and G. B. Giannakis.