Professor Petar Djuric to Deliver Plenary Talk at IEEE Statistical Signal Processing Workshop in Edinburgh

Professor Petar M. Djuric

We are proud to announce that Professor Petar M. Djuric, SUNY Distinguished Professor and Savitri Devi Bangaru Professor in Artificial Intelligence at Stony Brook University, has been selected as a plenary speaker at the upcoming 23rd IEEE Statistical Signal Processing Workshop (SSP 2025). The event will be held from June 8–11, 2025, in Edinburgh, Scotland, and is one of the premier international forums for the latest advances in statistical signal processing.

Professor Djuric’s plenary talk, titled “Quantifying causal relationships: Dynamic strengths, attributions, and confounders,” will take place on June 10 from 9:00 AM to 10:00 AM EST. His presentation addresses foundational challenges in data-driven causality, proposing novel methodologies for quantifying causal strength in both static and dynamic systems, with special attention to latent confounders and attribution analysis.

This work has broad implications across disciplines including healthcare, economics, and climate science—areas where causal understanding drives critical decisions and innovations.

Professor Djuric has been a long-standing leader in the fields of machine learning and signal and information processing. After receiving his Ph.D. from the University of Rhode Island, he joined the faculty at Stony Brook University, where he served as Chair of the Department of Electrical and Computer Engineering from 2016 to 2023. He is also the founding Editor-in-Chief of the IEEE Transactions on Signal and Information Processing Over Networks and a Fellow of IEEE, EURASIP, AAIA, and AIIA.

SSP 2025 will bring together researchers from academia and industry to explore emerging themes in statistical signal processing, ranging from sensor fusion to graph signal processing and machine learning. Professor Djuric’s inclusion as a plenary speaker underscores the global recognition of his impactful work and the strength of Stony Brook’s research community.

Early bird registration for the workshop is open until April 30, 2025. For more information, visit the official SSP 2025 website.