Dear Colleagues and Students,

The State Key Laboratory of Internet of Things for Smart City would like to invite you to join our “IOTSC Talk Series” on 21/01/2025 (Tuesday). We are pleased to invite Prof. Zhijin QIN from Tsinghua University as the speaker.

Multimodal Semantic Communication
Speaker: Prof. Zhijin QIN
Date: 21/01/2025 (Tuesday)
Time: 10:00 – 11:00
Language: English
Venue: N21-5007 (Exhibition Hall)

Abstract:
With the developments of wireless communication systems, the system capacity is gradually approaching to the Shannon limit. Existing communication systems primarily focus on how to accurately and effectively transmit symbols from the transmitter to the receiver and usually take bit-error rate or symbol-error rate as the performance metrics. Different from that, semantic communication aims to realize the successful semantic information exchange rather than receive the transmitted bit sequences or symbols accurately, which can improve the efficiency and robustness of communication systems. In this talk, the latest research of multimodal semantic communications will be introduced, including the basic framework of multimodal semantic communication, JSCC and semantic-aware coding/modulation design.

Speaker’s Bio:
Dr. Qin is an Associate Professor with the Department of Electronic Engineering, Tsinghua University. She served as a Guest Editor for IEEE JSAC Special Issue on Semantic Communications and an Area Editor for IEEE JSAC Series. She also served as an Associate Editor for IEEE TCOM and IEEE TCN. She is serving as the Area Editor of IEEE Communication Letters and Associate Editor of IEEE Signal Processing Magazine. She received several paper awards, such as the 2017 IEEE GLOBECOM Best Paper Award, the 2018 IEEE SPS Young Author Best Paper Award, the 2022 IEEE Communications Society Fred W. Ellersick Prize, the 2023 IEEE ICC Best Paper Award and the 2023 IEEE SPS Best Paper Award.

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

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