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Multimodal Intelligent Communication and Sensing

Multimodal Intelligent Communication and Sensing

Research on integrated sensing and communication (ISAC) in natural disaster scenarios and medical-engineering multimodal sensing.

Multimodal SensingISAC Computing

Research Directions

Two Research Directions

Integrated sensing and communication (ISAC) in natural disaster scenarios and medical-engineering multimodal sensing.

Join Our Team

New Students Welcome

Explore integrated sensing and communication (ISAC) and multimodal sensing with us.

Research GuidanceEngineering MentoringIndependent Practice

01 / About the Group

About the Group

Exploring integrated sensing and communication (ISAC) and multimodal sensing‑fusion technologies for health monitoring and natural‑disaster perception‑aided rescue.

The MICS group is affiliated with the School of Computer Science, Nanjing University of Posts and Telecommunications, supervised by Dr. Yiping Zuo. The group focuses on integrated sensing and communication (ISAC) in natural disaster scenarios and medical-engineering multimodal sensing, with an emphasis on research platforms, interdisciplinary collaboration, and student research training.

2
Research Directions
35
Team Members
3
Partners
Yiping Zuo photo

02 / Supervisor

Supervisor

Yiping Zuo

Lecturer / Master Supervisor · College of Computer Science, NJUPT

Profile
Yiping Zuo is a lecturer and master supervisor at the School of Computer Science, NJUPT, and received her Ph.D. from Southeast University. She has served as a reviewer for IEEE TWC, TVT, TCOM, and TMC, led the NSFC Young Scientists Fund project and a Jiangsu higher education basic science project, and participated in an NSFC special project.
Research Interests
Multimodal sensing, wireless communication, artificial intelligence, edge computing, and integrated sensing and communication

04 / Research Platforms

Research Platforms

Four platforms span protocol-level wireless sensing, commercial WiFi feedback, 3D point clouds, and mobile-scene validation, forming a multimodal pipeline from channel perturbations to spatial motion.

WiFi CSI Acquisition Platform

01

WiFi CSI Acquisition Platform

Uses Intel 5300 WiFi cards to capture subcarrier amplitude and phase data for analyzing fine-grained channel changes caused by human activity.

BFI Acquisition Platform

02

BFI Acquisition Platform

Coordinates transmitters, receiving nodes, and sniffing devices to capture BFI packets generated during commercial WiFi communication.

Millimeter-Wave Radar Platform

03

Millimeter-Wave Radar Platform

Uses a TI AWR1843 77 GHz radar to produce 3D point clouds for chest micro-motion, posture, and gait sensing.

TurtleBot4 Mobile Platform

04

TurtleBot4 Mobile Platform

Carries LiDAR, depth cameras, and other sensors to validate multisensor fusion algorithms in dynamic environments.

05 / Team Members

Team Members

Selected members are shown here. Visit the team page for the full list.

Jiaming Liu photo

Master Student

Jiaming Liu

Hexin Liu photo

Master Student

Hexin Liu

Fuwei Zhang photo

Master Student

Fuwei Zhang

Quan Yuan photo

Master Student

Quan Yuan

Xuwen Zhang photo

Undergraduate Student

Xuwen Zhang

Chuwei Jin photo

Undergraduate Student

Chuwei Jin

Zijian Lu photo

Undergraduate Student

Zijian Lu

Chengxuan Yang photo

Undergraduate Student

Chengxuan Yang

06 / Join Us

Undergraduate Recruitment

Recruitment tasks are being prepared — stay tuned

The group welcomes undergraduate students interested in multimodal intelligent communication and sensing. Detailed topics and application requirements are available on the recruitment page.