Towards Supporting Tactile Human-to-Machine Communications with An Intelligent Optical Access Network

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IEEE PCJS Young Professional Talk Series 2024

Towards Supporting Tactile Human-to-Machine Communications with

An Intelligent Optical Access Network

Dr. Lihua Ruan

Pengcheng Laboratory

Shenzhen, China

About the Talk

Communicating tactile-haptic sensations such that humans can immersively interact with distant real/virtual environments through machines/robots, i.e., H2M communication, is a fascinating but challenging leap to our current networks. The optical fiber access network, as a pillar of support for low-latency applications, will need continuous capacity upgrading and latency reduction for succeeding H2M communications. The required improvement could partly be made with the rapid-advancing machine learning (ML) techniques to innovate network control solutions. In this talk, we will go through how intelligent bandwidth decisions can be driven by ML to support tactile H2M communications over optical access networks.

About the Speaker

Lihua Ruan received her Ph.D. from the University of Melbourne (UoM), Australia, in 2020. In Mar 2019 and April, 2019, she was a visiting student at Massachusetts Institute of Technology (MIT), USA. From 2020 to 2022, she was a Postdoctoral Fellow at the Chinese University of Hong Kong, Shenzhen, China. She is currently a Researcher at Pengcheng Laboratory, Shenzhen. Lihua pursues a research passion on fiber-wireless access networks, machine learning for networks, tactile Internet and low-latency communications, and wireless sensing and security. Lihua actively serves as a reviewer of many high-rank journals and is/was on the Technical Program Committee (TPC) of OFC, IEEE ICC, and ACP conferences. She was a guest editor for Elsevier Computer Networks Special Issue and was invited for talks in 2024, 2023 ICOCN and 2024 OECC.

Sponsors:  IEEE Princeton/Central Jersey Section

                   IEEE Photonics Society PCJS Chapter

                   IEEE Young Professional PCJS Chapter

                   IEEE Women in Engineering PCJS Chapter

                   IEEE Signal Processing PCJS Chapter

All are welcome! You do not have to be a member of the IEEE to attend. The registration is free and required.

Event link:
https://events.vtools.ieee.org/m/428308

Time:  8:30~9:30PM (Eastern Time), Wednesday August 7th, 2024

Zoom: https://futurewei.zoom.us/j/6135444997

Zoom ID: 613 544 4997

Registration Required (Please Click "Register Now" at the end of this page to finish your registration)