28 September – 1 October 2026 | Atlanta, Georgia, USA

The 28th IEEE Workshop on Machine Learning for Signal Processing (MLSP) will bring together researchers, engineers, and industry practitioners from around the world for four days of technical exchange at the intersection of machine learning and signal processing. The workshop will take place in Atlanta, Georgia, from September 28 through October 1, 2026, with Centennial Hall on the downtown campus of Georgia State University serving as the conference venue.

MLSP has long been one of the IEEE Signal Processing Society’s key forums for emerging methods and applications in learning-driven signal processing. MLSP 2026 will continue that tradition with a program designed to highlight both foundational advances and practical impact across academia and industry. The technical program is organized around several core themes that reflect the evolving landscape of the field, including: Foundation and Generative Models for Signals; Temporal and Sequential Signal Learning; Agentic and Multimodal Learning; Machine Learning for Neuroimaging, Neuroscience, and Biomedical Signals; and Responsible, Causal, and Federated Signal Intelligence.

These themes are complemented by a broad call for contributions spanning deep learning, Bayesian and probabilistic inference, graph representation learning, federated and distributed learning, privacy and fairness, multimodal machine learning, large language models, learning from biosignals, and applications in areas such as healthcare, neuroscience, wireless communications, disaster management, and financial engineering. Together, the program reflects both the rapid methodological advances in the field and their increasing importance across real-world systems and industry applications.

The workshop will also include tutorials and special sessions intended to expose attendees to fast-moving topics and cross-disciplinary opportunities. The tutorial program is designed to be valuable to both industry and academic participants, with formats ranging from 1.5-hour short tutorials to 3.5-hour in-depth sessions. Special sessions are being solicited on emerging topics expected to have substantial near-term impact, providing a platform for focused discussion and community building.

MLSP 2026 is led by Conference Co-Chairs Sergey Plis and Vince Calhoun, supported by an international organizing committee overseeing the technical program, tutorials, keynotes, publications, finance, and publicity. The workshop will feature keynote talks from leaders in the field, including confirmed keynote speaker Tülay Adali, known for her contributions to statistical signal processing and machine learning.

For prospective authors, the paper submission portal opened on April 1, 2026, and the paper submission deadline is May 15, 2026. Accepted and presented papers will be published in IEEE Xplore. Tutorial and special session proposals are due May 10, 2026. Visa support letters will be available for registered participants who require them for travel to the United States.

Located in the heart of the southeastern United States, Atlanta is a major hub for technology, healthcare, and industry, home to a growing ecosystem of startups, Fortune 500 companies, and leading research institutions. The conference is hosted within a vibrant research environment that includes Georgia State University, Georgia Tech, and Emory University, as well as the tri-institutional Center for Translational Research in Neuroimaging & Data Science (TReNDS Center), a leading hub for advanced analytics and large-scale neuroimaging research. The downtown location places attendees within walking distance of major attractions, including Georgia Aquarium, one of the largest aquariums in the world, alongside Centennial Olympic Park, World of Coca-Cola, and the National Center for Civil and Human Rights. With its rapidly expanding role in AI, data science, and biomedical innovation, Atlanta offers an ideal setting for discussions on the future of machine learning and signal processing.

MLSP 2026 aims to provide an energizing environment for exploring new algorithms, real-world systems, and the expanding role of machine learning across modern signal processing. Additional information is available on the official conference website. 

The call for proposals closes May 15th, submit your proposal today!