From f81f1c476d766a3e3182b14d8994e6647bf2447d Mon Sep 17 00:00:00 2001 From: YuruZhang22 <115112404+YuruZhang22@users.noreply.github.com> Date: Mon, 15 Jan 2024 15:07:01 -0600 Subject: [PATCH] u --- _pages/about.md | 19 ++++++++----------- 1 file changed, 8 insertions(+), 11 deletions(-) diff --git a/_pages/about.md b/_pages/about.md index 8f9e8e09b2414..7059ca1f39235 100644 --- a/_pages/about.md +++ b/_pages/about.md @@ -8,24 +8,21 @@ redirect_from: - /about.html --- -I am a second-year Ph.D student and currently pursuing the Ph.D. degree in the [School of Computing](https://computing.unl.edu/) at the [University of Nebraska-Lincoln](https://www.unl.edu/). My major is Computer Science and my research interests include Wireless Networks, Edge Computing and Machine Learning. +I am a second-year Ph.D student and currently pursuing the Ph.D. degree in the [School of Computing](https://computing.unl.edu/) at the [University of Nebraska-Lincoln](https://www.unl.edu/). My major is Computer Science and my research interests include Wireless Communication, Digital Twin, Machine Learning, Edge Computing. -Currently, I hold the position of Gradated Research Assistant at the [Intelligent Network sysTem (INT) Laboratory](https://liuqiang12040913.github.io/project.html) under the guidance of [Dr. Qiang Liu](https://liuqiang12040913.github.io/index.html). I received the M.Sc. degree in transportation information engineering and control from [Xidian University](https://en.xidian.edu.cn/), Xi'an, China, in 2022, and received the Outstanding Graduate Student Award. +Currently, I hold the position of Graduated Research Assistant at the [Intelligent Network sysTem (INT) Laboratory](https://liuqiang12040913.github.io/project.html) under the guidance of [Dr. Qiang Liu](https://liuqiang12040913.github.io/index.html). I received the M.Sc. degree in transportation information engineering and control from [Xidian University](https://en.xidian.edu.cn/), Xi'an, China, in 2022, and received the Outstanding Graduate Student Award. -Research Interesting -====== -Wireless Communication, Digital Twin, Machine Learning, Edge Computing Education ====== -Ph.D. student in Computer Science, University of Nebraska–Lincoln, Aug. 2022 -- Present -M.S. in Traffic Information Engineering and Control, Xidian University, Sept. 2019 -- June 2022 -B.E. in Communication Engineering, Lanzhou Jiaotong University, Lanzhou, China, Sept. 2015 -- June 2019 +* Ph.D. student in Computer Science, University of Nebraska–Lincoln, Aug. 2022 -- Present +* M.S. in Traffic Information Engineering and Control, Xidian University, Sept. 2019 -- June 2022 +* B.E. in Communication Engineering, Lanzhou Jiaotong University, Lanzhou, China, Sept. 2015 -- June 2019 Experience ====== -Graduate Research Assistant in University of Nebraska-Lincoln, Aug. 2023-Present - Research on digital twin in wireless communication. Proposed a new approach to build digital network twin by augmenting existing network simulators. Designed new deep learning methods (e.g., NeRF) to bridge simulation-to-reality discrepancy between simulators and reality. - Research on AI/ML-driven resource management in wireless network. Built an end-to-end 5G network testbed with Ettus USRP B210, OpenAirInterface 5G RAN and Open5GS Core. Designed Bayesian learning based algorithm to automate resource allocation in network slicing. Designed robust training approach to improve the robustness of AI/ML policies via adversarial attacking on state space and defense re-training. +* Graduate Research Assistant in University of Nebraska-Lincoln, Aug. 2023-Present + * Research on digital twin in wireless communication. Proposed a new approach to build digital network twin by augmenting existing network simulators. Designed new deep learning methods (e.g., NeRF) to bridge simulation-to-reality discrepancy between simulators and reality. + * Research on AI/ML-driven resource management in wireless network. Built an end-to-end 5G network testbed with Ettus USRP B210, OpenAirInterface 5G RAN and Open5GS Core. Designed Bayesian learning based algorithm to automate resource allocation in network slicing. Designed robust training approach to improve the robustness of AI/ML policies via adversarial attacking on state space and defense re-training.