IOTSC Distinguished Visiting Scholar Series: Machine Learning in the Air: From Semantic Communications to Distributed Learning and Inference

Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Distinguished Visiting Scholar Series on 11/11/2024 (Monday). We are pleased to invite Prof. Deniz Gündüz from Imperial College London as the speaker.

Machine Learning in the Air: From Semantic Communications to Distributed Learning and Inference
Speaker: Prof. Deniz Gündüz
Date: 11/11/2024 (Monday)
Time: 15:00 – 16:00
Language: English
Venue: N21-5007 (Exhibition Hall)

Abstract:
Machine learning is poised to transform wireless communication technologies in the next decade, and seamless integration of AI technologies into 6G networks will be a transformative leap beyond previous generations. Towards this future, synergies between communications and machine learning are two-fold: data-driven methods coupled with established model driven solutions provide novel approaches and state-of-the art results to many long-standing challenges in communications, from coding to resource optimization. On the other hand, distributed learning and inference problems introduce new challenges imposing more stringent reliability and latency constraints on future communication networks. In this talk, I will touch upon both aspects, and present my group’s recent contributions spanning data compression, communications, and distributed learning and inference problems, bringing together tools from information and coding theories with recent advances in machine learning.

Speaker’s Bio:
Deniz Gündüz received the Ph.D. degree in electrical engineering from NYU Tandon School of Engineering in 2007. He is a Professor of Information Processing at Imperial College London. He held various positions at the University of Modena and Reggio Emilia, University of Padova, CTTC, Princeton University, and Stanford University. Deniz Gündüz is a Fellow of the IEEE. He serves as an Area Editor for the IEEE Transactions on Information Theory and IEEE Transactions on Communications. He is the recipient of the IEEE Communications Society CTTC Early Achievement Award in 2017, Starting (2016) and Consolidator (2022) and Proof-of-Concept (2023) Grants of the European Research Council (ERC), and has co-authored several award-winning papers, including the IEEE Communications Society – Young Author Best Paper Award (2022), and IEEE ICC Best Paper Award (2023).

 

For enquiries: Tel: 8822 9159
Email: frankielei@um.edu.mo

Best Regards,
State Key Laboratory of Internet of Things for Smart City