智能计算研究所

WHAT WE DO

智能计算研究所（Institute of Intelligent Computing, IIC）是隶属于山东大学计算机科学与技术学院的科研机构。研究所由成秀珍教授（IEEE Fellow）创建，目前包含教授6人、副教授3人、助理教授7人、博士及硕士研究生90余人。研究所聚焦于面向未来网络系统的智能计算理论与技术，形成了边缘智能、区块链、系统安全三大前沿研究方向，着力构建自进化、自适应、安全可信的智能计算关键理论与技术体系。

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团队成员

FACULTIES

教授&职员

成秀珍

教授、IEEE Fellow

于东晓

教授、国家优秀青年科学基金获得者

李峰

“齐鲁青年学者”特聘教授

肖梦白

“齐鲁青年学者”特聘教授

张广辉

“齐鲁青年学者”特聘教授

胡鹏飞

“齐鲁青年学者”特聘教授、山东省优青

郑艳伟

副教授

章宦乐

副教授

潘润宇

副教授

Riccardo spolaor

助理教授

王芯蕊

助理教授

杨燕妮

助理教授

邹逸飞

助理教授

张国明

助理教授

张啸

助理教授

徐明辉

助理教授

全部
博士
硕士

张红若

博士

罗琦

博士

袁旭阳

硕士

陈姝祯

博士

国益豪

博士

郭河川

博士

杨力

博士

郝东东

博士

荆冠霖

博士

陶又铭

博士

张琮伟

博士

王丽娜

博士

张翔龙

博士

张立芳

硕士

赵继超

硕士

赵欣

硕士

赵增瑞

硕士

江文

硕士

张喜连

硕士

田可

硕士

王均平

硕士

柴钰琪

硕士

陈天浩

硕士

金宗景

硕士

秦毅

硕士

王晨

硕士

王麒麟

硕士

张良旭

硕士

张子春

硕士

陈锋

硕士

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研究项目

PROJECTS

ViSee视觉平台

2023年03月29日

RPA机器人引擎

2023年03月12日

SandyChain区块链平台

2023年02月16日

ViSee视觉视觉应用——非机动车违章检测

2022年07月15日

ViSee视觉视觉应用——生态环境AI溯源

2022年05月18日

ViSee视觉视觉应用——人的不安全行为辨识

2022年04月21日

ViSee视觉视觉应用——机器、环境不安全因素识别

2022年04月21日

RPA应用——某电网智慧营销系统

2022年04月23日

SandyChain区块链平台应用——融资租赁

2023年03月29日

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学术活动

ACADEMIC ACTIVITIES

1
2021.12.07

学术报告：跨模态语音感知——识别与认证
2
2021.11.09

学术报告：多群智任务在线分配与公平优化
3
2021.11.02

学术报告：可信执行环境SGX的侧信道安全
4
2021.05.09

“CCF物联网专委会走进山东大学（青岛）”在青岛校区举行

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论文发表

PUBLICATIONS

Frequency-Invariant Sensor Selection for MVDR Beamforming in Wireless Acoustic Sensor Networks

Jie Zhang; Guanghui Zhang; Lirong Dai

IEEE Transactions on Wireless Communications

Year: 2022

BibTeX@ARTICLE{9812488, author={Zhang, Jie and Zhang, Guanghui and Dai, Lirong}, journal={IEEE Transactions on Wireless Communications}, title={Frequency-Invariant Sensor Selection for MVDR Beamforming in Wireless Acoustic Sensor Networks}, year={2022}, volume={21}, number={12}, pages={10648-10661}, doi={10.1109/TWC.2022.3185713}}
Towards Unconstrained Vocabulary Eavesdropping With Mmwave Radar Using GAN

Hu, Pengfei and Li, Wenhao and Ma, Yifan and Santhalingam, Panneer Selvam and Pathak, Parth et al.

IEEE Transactions on Mobile Computing

Year: 2022

BibTeX@ARTICLE{9970305, author={Hu, Pengfei and Li, Wenhao and Ma, Yifan and Santhalingam, Panneer Selvam and Pathak, Parth and Li, Hong and Zhang, Huanle and Zhang, Guoming and Cheng, Xiuzhen and Mohapatra, Prasant}, journal={IEEE Transactions on Mobile Computing}, title={Towards Unconstrained Vocabulary Eavesdropping With Mmwave Radar Using GAN}, year={2022}, volume={}, number={}, pages={1-14}, doi={10.1109/TMC.2022.3226690}}
A trustless architecture of blockchain-enabled metaverse

Minghui Xu, Yihao Guo, Qin Hu, Zehui Xiong, Dongxiao Yu, Xiuzhen Cheng

High-Confidence Computing

Year: 2023

BibTeX@article{XU2023100088, title = {A trustless architecture of blockchain-enabled metaverse}, journal = {High-Confidence Computing}, volume = {3}, number = {1}, pages = {100088}, year = {2023}, issn = {2667-2952}, doi = {https://doi.org/10.1016/j.hcc.2022.100088}, url = {https://www.sciencedirect.com/science/article/pii/S266729522200040X}, author = {Minghui Xu and Yihao Guo and Qin Hu and Zehui Xiong and Dongxiao Yu and Xiuzhen Cheng}, keywords = {Metaverse, Blockchain, Edge computing, Trust}, abstract = {Metaverse has rekindled human beings’ desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from building a utopia. A metaverse embraces various techniques, while at the same time inheriting their pitfalls and thus exposing large attack surfaces. Blockchain, proposed in 2008, was regarded as a key building block of metaverses. it enables transparent and trusted computing environments using tamper-resistant decentralized ledgers. Currently, blockchain supports Decentralized Finance (DeFi) and Non-fungible Tokens (NFT) for metaverses. However, the power of a blockchain has not been sufficiently exploited. In this article, we propose a novel trustless architecture of blockchain-enabled metaverse, aiming to provide efficient resource integration and allocation by consolidating hardware and software components. To realize our design objectives, we provide an On-Demand Trusted Computing Environment (OTCE) technique based on local trust evaluation. Specifically, the architecture adopts a hypergraph to represent a metaverse, in which each hyperedge links a group of users with certain relationship. Then the trust level of each user group can be evaluated based on graph analytics techniques. Based on the trust value, each group can determine its security plan on demand, free from interference by irrelevant nodes. Besides, OTCEs enable large-scale and flexible application environments (sandboxes) while preserving a strong security guarantee.} }
Intermittent jamming for eavesdropping defense in WAVE based vehicular networks

Xiaoshuang Xing, Gaofei Sun, Jin Qian, Dongxiao Yu, Xiuzhen Cheng

Vehicular Communications

Year: 2022

BibTeX@article{XING2022100542, title = {Intermittent jamming for eavesdropping defense in WAVE based vehicular networks}, journal = {Vehicular Communications}, volume = {38}, pages = {100542}, year = {2022}, issn = {2214-2096}, doi = {https://doi.org/10.1016/j.vehcom.2022.100542}, url = {https://www.sciencedirect.com/science/article/pii/S2214209622000894}, author = {Xiaoshuang Xing and Gaofei Sun and Jin Qian and Dongxiao Yu and Xiuzhen Cheng}, keywords = {Vehicular networks, Eavesdropping, Physical layer security, Intermittent friendly jamming}, abstract = {Wireless Access in Vehicular Environments (WAVE) based vehicular networking has been considered as a promising technology to improve road safety and provide diverse value-added services. However, it is vulnerable to eavesdropping attacks due to the broadcasting nature of wireless communications. Eavesdropping in WAVE based vehicular network can reveal drivers' private and can be taken as preamble to other critical attacks resulting in severe threats to drivers' personal safety and property safety. In this paper, we deal with this threat by proposing an intermittent jamming (IJ) based eavesdropping defense mechanism. The optimal IJ scheme is found by solving the problem of minimizing the jamming energy cost while disabling the eavesdropping activities. The practicability of the design is ensured by considering the network specific communication properties. Numerical analysis is conducted to investigate the relationship between the optimal IJ scheme and the network scenario. Simulation study is carried out to compare the performance of our design with that of the existing continuous jamming (CJ) based scheme. The results indicate that comparing with the CJ scheme, our design uses less energy to disable eavesdropping. IJ saves more than 34% energy while achieving an average packet error rate (PER) of 87.42% at the eavesdropper, and saves more than 22% energy while achieving an average PER of 94.95% at the eavesdropper.} }

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招生信息

WE ARE RECRUITING

RECRUITMENT

博士研究生5-10名

硕士研究生30+名

本科科研助理若干名

长期招收博士后和研究助理
ATTITUDE

对科研有浓厚的兴趣

有正确的科研价值观

积极、乐观、向上
SKILL

计算机、数学、电子、通信等学习背景

掌握C/C++、Java、Python等编程语言

良好的英语基础

What can we offer to students ?

Get opportunity to do cutting edge research and achieve results that nobody in the world has achieved.

Publish/present your papers at top-tier venues (CCF A or B journals or conferences)

Advantageous circumstance where you can do any challenging research topics as you want

Communicate with highly reputed researchers/professors around the world (e.g., IEEE Fellows, ACMFellow, academicians)

Get opportunities for academic exchanges (including both domestic and overseas).

Being a member of our group, you can get long-life assistance in your future career

智能计算研究所

Institute of Intelligent Computing

数链融合技术教育部工程研究中心

山东省数链融合技术创新中心

电话：(86)-532-58630610邮箱：dxyu@sdu.edu.cn

地址：山东省青岛市即墨区滨海公路72号邮编：266237

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