2021 西北工业大学智能通讯与安寰球外研讨会将于 2021 年 6 月 23 日至 6 月 24 日在西北工业大校友谊校区爱生楼 401进行国产 拳交，具体议程实时刻安排如下：

汇报[1]：联邦学习在挪动通讯收集合的应用

时 间 ：2021年06月23日(星期三)14:00-14:45

汇报[2]：分散式机器学习在无线信说念接洽中的应用

时 间 ：2021年06月23日(星期三)15:30-16:15

汇报[3]：车联网安全问题与挑战

时 间 ：2021年06月23日(星期三)17:00-17:45

汇报[4]：协同感知本事在智能网联汽车中的应用

时 间 ：2021年06月23日(星期三)17:45-18:30

汇报[5]：智能无线电中信号检测纪律接洽

时 间 ：2021年06月23日(星期三)19:00-19:45

汇报[6]：数据安全挑战及发展趋势接洽

时 间 ：2021年06月23日(星期三)20:30-21:15

汇报[7]：面向物联网工作的雾资源分拨接洽

时 间 ：2021年06月23日(星期三)22:00-22:45

汇报[8]：基于车载通讯的说念路安全增强纪律接洽

时 间 ：2021年06月23日(星期三)22:45-23:30

汇报[9]：Systematical Verification of Concurrent Trigger-action IoT Systems

汇报东说念主：于银菠

时 间 ：2021年06月23日(星期三)14:45-15:30

本色简介：Trigger-action programming (TAP) is a popular end-userprogramming framework that can simplify the Internet of Things (IoT) automation with simple trigger-action rules. However， it also introduces new security and safety threats. A lot of advanced techniques have been proposed to address this problem. Rigorously reasoning about the security of a TAP-based IoT system requires a well-defined model and verification method both against rule semantics and physical-world features， e.g.， concurrency， rule latency， extended action， and connection-based rule interactions， which has been missing until now. In this talk， we present a novel system to detect vulnerabilities in the TAP-based concurrent IoT system using model checking. It automatically extracts TAP rules from IoT apps， translates them into a hybrid model with model slicing and state compression， and performs semantic analysis and model checking with various safety and liveness properties. Our experiments corroborate that our detection system is effective in the security analysis of IoT systems: it identifies 533 violations with 9 new types of vulnerability from 1108 real-world market IoT apps and its efficiency of vulnerability detection is 60000 times faster than the baseline without optimization at least.

汇报东说念主简介：Yinbo Yu received the B.Sc. and Ph.D. degrees in information and communication engineering from Wuhan University， China， in 2014 and 2020. He is currently an Associate Professor with the School of Cybersecurity， Northwestern Polytechnical University， China. He was a visiting Ph.D. student with Northwestern University， USA from 2017 to 2019. His research interests span on the area of networking， security， and software verification.

汇报[10]：Research on Behavior Recognition Technology Based on Wearable Device

汇报东说念主：毕红亮

时 间 ：2021年06月23日(星期三)16:15-17:00

本色简介：In recent years， Intelligent perception devices widely exist in people's lives， and the research of behavior recognition based on Intelligent perception technology has been further developed. Contact IntelliSense technology is mainly based on wearable devices， which has the characteristics of low cost， convenient deployment and not easy to be interfered by the external environment. However， the signal collected wearable devices is often weak and difficult to detect. The traditional window function method can not extract the behavior signal effectively. Many behaviors are similar and it is difficult to use the machine learning method to build the accurate recognition model directly. To address these two challenges， given the universality of wearable devices and the importance of behavior recognition， four key issues， namely Chinese character and stroke order recognition， pen-holding posture recognition， rhythm-based tap authentication and head gesture recognition during walking are studied.

汇报东说念主简介：Hongliang Bi received his B.S.， M.S. and Ph.D. degrees in Engineering from Xi'an University of Technology， Soochow University and Wuhan University in 2013， 2015 and 2020， respectively. He is currently an assistant professor in the School of Cybersecurity of Northwestern Polytechnical University. His research interests include machine learning， IntelliSense， privacy security and Internet of Things， etc.

汇报[11]：UAV-enabled Internet of Things

汇报东说念主：王曲北剑

时 间 ：2021年06月23日(星期三)19:45-20:30

本色简介：We have seen the proliferation of the Internet of Things (IoT)， which has been wildly used in the industry， agriculture， smart city and other fields. IoT is essentially connecting things (or objects) to the Internet. However， there are two critical challenges when IoT is practically deployed. The first challenge is constrained network coverage (how to conduct data transmission when IoT infrastructure is hardly or not available).The second challenge issecurity vulnerability (how to guarantee the security of data transmission in IoT). Unmanned aerial vehicles (UAVs) have been widely used in wireless communications， thanks to their mobility and flexibility. Therefore， in this presentation， we mainly focus on utilizing UAVs to overcome the above challenges in IoT.

汇报东说念主简介：Qubeijian Wang received the Ph.D. degree from Macau University of Science and Technology， Macau， China. He is currently an assistant professor with the School of Cybersecurity， Northwestern Polytechnical University， China. His research interests include UAV communications， physical-layer security， and larger-scale network performance analysis.

汇报[12]：Disturbance rejection and tracking control for quadrotor UAVs based on equivalent-input-disturbance approach

汇报东说念主：蔡娴静

时 间 ：2021年06月23日(星期三)21:15-22:00

本色简介：Quadrotor unmanned aerial vehicle (QUAV) has four cross-coupled propellers. This special mechanical structure enables it many distinct abilities such as perform vertical take-off and landing (VTOL)， hovering， and cruising. Relying on those abilities， QUAVs are used to accomplish some practical missions， and thus they are widely used and studied in the world. The control of QUAVs is the key to accomplish missions. Thus， the research on the control scheme of QUAVs has important scientific research value and engineering application prospect. Our study focuses on three typical problems in the control of QUAVs: fixed-point tracking control， waypoint-tracking control， and trajectory-tracking control. Considering the influences of nonlinearities， uncertainties， and underactuation， we put forward three control methods to improve the robustness and accuracy of the controller， and dynamic and steady-state performance of the system.

汇报东说念主简介：Wenjing Cai， School of Cybersecurity， Northwestern Polytechnical University. Received her Ph.D. degree from China University of Geosciences at 2020， and her B.Sc. & M.Sc. degrees from China University of Geosciences. She has been an exchange Ph.D. student at Tokyo University of Technology from 2016 to 2018. Nowadays， she is a young teacher in the School of Cybersecurity at Northwestern Polytechnical University. Her research areas include UAV control， nonlinear system analysis， and robust control.

汇报[13]：智能高铁中的5G新基建

汇报东说念主：艾渤

时 间 ：2021年06月24日(星期四)8:30-9:15

本色简介：第5代挪动通讯（5G）是现时国外学术界及工业界接洽和怜惜热门。多场景、多缱绻、多本事交融是5G远离于其他几代挪动通讯系统的垂死特征。国外电信定约ITU、世界无线筹辩论坛WWRF、中国5G尺度鼓动组IMT-2020、欧盟5G接洽组织NGMN以及METIS等王人将高速铁路或高速挪动性四肢5G垂死场景，高速铁路是5G的典型垂直应用行业之一。本汇报面向往日高速铁路发展的业务和应用需求，指出5G/B5G本事应用于智能高速铁路系统的必要性和科学意旨，并从高速铁路业务模子、收集架构、信说念模子、可靠传输关键本事几个方面来征询5G/B5G本事在往日高速铁路通讯系统中的应用，具体本当事人要包括毫米波通讯、大范围天线阵列、波束料理、超可靠低时延等关键本事。

汇报东说念主简介：艾渤，北京交通大学二级西宾、博士生导师，轨说念交通按捺与安寰球度重心实践室常务副主任。国度杰青、优青、英国皇家学会牛顿高等学者基金、国度中组部万东说念主探讨领军东说念主才、中国科协“求是了得后生奖”、詹天助铁说念科技奖后生奖赢得者；中国工程院“中国工程前沿了得后生学者”；赢得北京市优秀教师荣誉名称。于今发表IEEE期刊论文150余篇，获IEEE VTS协会Neil Shepherd Memorial Best Propagation Award最好期刊论文奖和IEEE Trans. on Commun.最好期刊论文奖；获IEEE Globecom、IEEE VTC等国外会论说文奖励13项；赢得27项授权发明专利；被ITU， 3GPP等秉承提案21项；获省部级科技奖励9项。接洽效果写入国度行业尺度4项，效果应用于京沪等高速铁路，上百条、3万多公里的铁路表示修复。英国工程师学会会士（IET Fellow），IEEE BTS西老实会主席，IEEE VTS北京分会副主席，IEEE VTS了得讲师。中国电子学会会士，中国通讯学会监事会监事，中国挪动轨说念交通定约5G产业推动委员会主任，国度6G总体组大家。

汇报[14]：MetaEverything: Intelligent MetaMaterial aided Sensing and Communications

汇报东说念主：宋令阳

时 间 ：2021年06月24日(星期四)9:15-10:00

本色简介：Intelligent MetaMaterial recently stands out as a novel approach to improve the quality of communication links.The talk will provide the state-of-the-art of research on meta-surface assisted sensing and communications from the perspectives of physical， MAC， network， and application layers. It focuses on two main types of meta-surface based applications， i.e.， cellular communications and RF sensing. It will discuss the meta-surface hardware design as well as machine learning techniques for different sensing applications. Technical issues related to communications will also be addressed including beamforming scheme design， phase shift optimization， and MAC layer protocol design.

汇报东说念主简介：宋令阳，英国约克大学博士、挪威奥斯陆大学博士后、好意思国哈佛大学博士后、英国飞利浦接洽院高等接洽员，现为北京大学博雅特聘西宾、学科修复办公室副主任、电子学系副主任、信息与通讯接洽所长处。主要接洽标的是无线通讯收集、信号处理和机器学习。赢得莳植部当然科学一等奖、国度当然基金委了得后生科学基金、首届国度973探讨后生专题模样首席科学家、首届国度当然基金委优秀后生科学基金、中组部后生拔尖东说念主才、中国后生科技奖、北京市五四后生奖章、IEEE通讯协会亚太地区了得后生接洽奖、IEEE Communication Society Leonard G. Abraham Prize、IEEE Communications Society Heinrich Hertz Award等。曾被评为IEEE Fellow、Clarivate Analytics高被引科学家等。

汇报[15]：Edge Learning: Theory， Algorithm and System Design

汇报东说念主：郭嵩

时 间 ：2021年06月24日(星期四)10:00-10:45

本色简介：Driving by flourishing of both distributed machine learning and mobile edge computing， there is a stringent need to combine the advantages of these technologies so as to provide the learning tasks with high performance. Edge Learning， as an emerging learning concept， is complementary to the cloud-based methods for big data analytics by enabling distributed edge nodes to cooperatively train models and conduct inferences with their local data. This talk will focus on learning paradigms， fundamental theories， and enabling technologies for Edge Learning. We will first explain the background and motivation for AI running at the network edge. Then， we will review the challenge issues existing in Edge Learning. Furthermore， we will provide an overview of the overarching architectures， frameworks， and emerging key technologies for learning performance， security， privacy， and incentive issues toward training/inference at the network edge. Finally， we will discuss future research opportunities on Edge Learning.

汇报东说念主简介：Song Guo is a Full Professor at Department of Computing， The Hong Kong Polytechnic University. He also holds a Changjiang Chair Professorship awarded by the Ministry of Education of China. Prof. Guo is a Fellow of the Canadian Academy of Engineering and a Fellow of the IEEE (Computer Society). His research interests are mainly in big data， edge AI， mobile computing， and distributed systems. He published many papers in top venues with wide impact in these areas and was recognized as a Highly Cited Researcher (Clarivate Web of Science). He is the recipient of over a dozen Best Paper Awards from IEEE/ACM conferences， journals， and technical committees. Prof. Guo is the Editor-in-Chief of IEEE Open Journal of the Computer Society and the Chair of IEEE Communications Society (ComSoc) Space and Satellite Communications Technical Committee. He was an IEEE ComSoc Distinguished Lecturer and a member of IEEE ComSoc Board of Governors. He has also served for IEEE Computer Society on Fellow Evaluation Committee， and been named on editorial board of a number of prestigious international journals like IEEE TPDS， IEEE TCC， IEEE TETC， etc. He has also served as chairs of organizing and technical committees of many international conferences.

汇报[16]：Intelligent Reflecting Surface Empowered Space-Air-Ground Integrated Network

汇报东说念主：徐赛

时 间 ：2021年06月24日(星期四)10:45-11:30

本色简介：With cooperative transmission of different access ways and unified resource management， the integration of space-air-ground network has become a historic tendency because of its distinctive superiority in the global coverage， massive connectivity， high capacity and low latency， etc. Intelligent reflecting surface (IRS) techniques rising recently are positioned as a vital enabler for facilitating wireless communication networks. In view of these， this article attempts to give an overview of space-air-ground integrated network (SAGIN) and IRS， as well as to provide a new perspective of how to apply IRS into SAGIN. Based on these， some important research agendas are identified. Then， we present two examples of IRS-based vehicle-to-vehicle (V2V) backscatter communication in integrated space-ground network and IRS-assisted SAT and HAP integrated network. Finally， preliminary simulations verify the feasibility of the proposed strategy and evidence the benefit of integrating IRS into SAGIN.

汇报东说念主简介：Sai Xu [S'17， M'20] received the Ph.D. degree from the Harbin Institute of Technology， Harbin， China， in 2020. He was also a joint Ph.D. student with the Electrical Engineering Department， University of California， Los Angeles， CA， USA， from October 2017 to April 2019. He is currently an AssociateProfessor with the School of Cybersecurity， Northwestern Polytechnical University. His research interests include intelligent reflecting surface， physical layer security， 5G and 6G communications， and satellite communications.

汇报[17]：A Study on Deep Learning-based Routing for Intelligent Traffic Control

汇报东说念主：毛伯敏

时 间 ：2021年06月24日(星期四)11:30-12:15

本色简介：Recent years， the global networks are challenged by the surging traffic demand since a growing number of devices are connected to offer users various kinds of services. The traffic control algorithms are becoming more important to avoid the congestion and ensure the satisfying end-to-end transmissions. Inspired by the development of Artificial Intelligence and computation platform， researchers are exploring new opportunities in packet processing and transmissions with deep learning to realize communication intelligentization. In this presentation， I will introduce our research on intelligent routing to reduce the end-to-end latency and improve network throughput. The talk will begin with the supervised learning-based routing model for a fixed backbone network. Then， the network dynamics including changing traffic and topology are considered and analyzed in the development of corresponding deep learning-based routing models. In the talk， we can find different deep learning strategies， such as supervised learning， online learning， and reinforcement learning， can be adopted to improve the throughput for different network scenarios.

汇报东说念主简介：Bomin Mao (S'15， M'9) is currently a full professor with the School of Cybersecurity， Northwestern Polytechnical University. He was an associate professor at the Graduate School of Information Sciences (GSIS)， Tohoku University， Japan， from 2020 to 2021. He also served as an assistant professor from 2019 to 2020. His research interests are involving intelligent wireless networks， software defined networking， IoT， particularly with applications of machine intelligence and deep learning. He received several Best Paper Awards from IEEE conferences， such as IEEE Global Communications Conference in 2017 (GLOBECOM'17)， GLOBECOM'18， and IEEE International Conference on Network Infrastructure and Digital Content in 2018 (IC-NIDC 2018). He was a recipient of the prestigious 2020 Niwa Yasujiro Outstanding Paper Award and 2020 IEEE Computer Society Tokyo/Japan Joint Local Chapters Young Author Award.

汇报[18]：Aerial Computing: Enhancing Air-to-Ground Coverage for Next Generation Wireless Networks

汇报东说念主：盛敏

时 间 ：2021年06月24日(星期四)14:00-14:45

本色简介：Aerial base stations (ABSs) are promising to provide ubiquitous coverage in next-generation wireless networks due to the agility. However， trajectory planning and resource allocation (TPRA) for multiple ABSs is challenging since 1) ABSs fail to simultaneously cover all users due to the high mobility and energy limitation， and 2) the trajectory planning and resource allocation of ABSs are coupled. In this talk， we will discuss TPRA for multiple high-mobility ABSs to provide energy-efficient coverage， which is aided by efficient aerial computing. Especially， we focus on how to design decentralized trajectory planning algorithm based on decentralized reinforcement learning. Moreover，a transfer learning-based resource allocation algorithm is also presented to cater to the high mobility characteristics of ABSs.

汇报东说念主简介：盛敏，西安电子科技大学西宾、博士生导师。莳植部长江学者特聘西宾，国度当然科学基金委了得后生基金赢得者，中国后生女科学家团队清雅东说念主，中国电子学会会士，中国通讯学会会士。现为西安电子科技大学详细业务网表面及关键本事国度重心实践室主任，主要从事天下一体异构收集交融、无线自组织收集、空间信息收集等范围的接洽职责；现任科技部6G总体大家构成员、中国电子学会后生科学家俱乐部副主席。主理包括国度重心研发探讨、国度当然科学基金了得后生科学基金、载东说念主航天重心模样、科技部973模样等在内多项接洽课题，获国度本事发明二等奖2项。

汇报[19]：数据安全的近况与瞻望

汇报东说念主：李洪伟

时 间 ：2021年06月24日(星期四)14:45-15:30

本色简介：在数字经济中，数据已成为垂死的生成因素。然则，数据在集中、传输、存储、使用等经过中还存在诸多安全问题。本汇报将从国度需求、学术前沿、产业应用等多个维度来分析数据安全的近况，并瞻望数据安全往日的发展标的。

汇报东说念主简介：李洪伟，莳植部长江学者特聘西宾（2019），电子科技大学收集空间安全接洽院副院长，科技部十四五“收集空间安全治理”重心专项大家构成员、国度当然科学基金委员会会议评审大家、四川省学术和本事带头东说念主。IEEE通讯学会安全分会Secretary（中国大陆首位任职该分会的学者）、IEEE Vehicular Technology Society Distinguished Lecturer、《IEEE Internet of Things Journal》Associate Editor、ACM China SIGSAC 2019 TPC Co-chair。永恒从事数据安全范围的基础和应用接洽，主理国度重心研发探讨课题和国度当然科学基金重心模样。发表学术论文100余篇，其中中科院JCR-1区/CCF-A类论文36篇，赢得了包括麻省理工学院Srinivas Devadas西宾在内的数十位ACM/IEEE Fellow的援用和正面评价；获IEEE ICPADS 2020、IEEE MASS 2018和IEEE Healthcom 2015的最好论文奖。接洽效果已应用于金融、医疗等范围，获2019年国度科技卓绝一等奖、2019年四川省科技卓绝二等奖、2018年中国收集安全与信息产业“金智奖-十大东说念主物奖”、2018年和2017年中国银行业信息科技风险料理课题效果奖。

汇报[20]：工业收集系统的分散式感知与协同传输：机制想象与完满

汇报东说念主：陈彩莲

时 间 ：2021年06月24日(星期四)15:30-16:15

本色简介：跟着信息通讯本事的不断发展，无线本事在工业自动化监控中得到越来越平方的应用。然则，与有线通讯比较，无线通讯面对着诸多新挑战。复杂严重的电磁干预、动态多变的无线链路、大型开辟的挪动装璜，导致监控系统的感知信息传输实时性和可靠性难以保证。通过充分期骗时-频-空多域多维度资源想象协同传输机制，简略灵验地违反雕零、扼制干预，显耀地提高端到端的信息传输性能。本汇报将以工业坐褥经过监控系统为对象，接洽收集系统的分散式动态感知纪律与实时可靠传输机制想象，提议匹配工艺的干系特征学习机制和资源预分拨战略，幸免传统动态接入机制下的复杂合手手支出，从而裁汰接入时延，提高资源期骗遵守。开发了确保传输性能的时刻敏锐收集(TSN)网关等开辟，完满活泼设立和动态组网，为升迁工业收集系统的感知和监控才能提供通讯基础要领保险。

汇报东说念主简介：陈彩莲，上海交通大学自动化系西宾，国度了得后生科学基金赢得者。主要从事工业收集系统的感知、传输与按捺接洽职责。主理科技部重心研发探讨模样、NSFC重心模样等国度级和省部级模样20余项，在IEEE Transactions特别他国外期刊发表SCI论文100余篇，接洽效果获2018年国度当然科学二等奖1项（名轮番3），“莳植部当然科学一等奖”2项，“上海市本事发明一等奖”1项。曾赢得“IEEE疲塌系统汇刊了得论文奖”及最好会论说文奖4项，中国自动化学会后生科学家奖等。先后担任IEEE Trans. Vehicular Technology， IET Cyber-Physical Systems: Theory and Applications等多个英文期刊编委，担任IASA19的TPC主席， IEEE Globecom'16和IEEE VTC 2016-Fall， 2020-Fall等旗舰会议的Symposium TPC共同主席。

汇报[21]：卫星物联网立时接入本事

汇报东说念主：赵波

时 间 ：2021年06月24日(星期四)16:15-17:00

本色简介：The satellite Internet-of-Things (IoT) is one of the important application scenarios in the field of wireless communications， and it is also an important part of the B5G and airspace-ground integrated networks. Random access (RA) has become a typical multiple access method in the satellite IoT because it does not require resource allocation and central scheduling， and it has also received extensive attention. However， with the increase in the number of satellite IoT devices and the intelligent and energy-efficient development of satellite IoT， RA is also constantly facing new challenges. On the one hand， the massive number of satellite IoT devices puts huge pressure on the RA of the satellite IoT， which will lead to severe collision between accessing devices and even network congestion; On the other hand， the satellite IoT devices are gradually miniaturized and intelligentized， which poses huge challenges to device's computational complexity， transmission power， and energy consumption. In order to cope with these issues， research on key techniques of the RA for satellite IoT has been carried out from three scenarios: RA for inter-satellite non-cooperative satellites， RA for inter-satellite cooperative satellites， and RA for relay-assisted satellites， and many effective satellite RA protocols are proposed in terms of different metrics. This talk presents the proposed effective RA protocols.

汇报东说念主简介：赵波于2020年毕业于西安电子科技大学并取得博士学位，2021年加入西北工业大学收集空间安全学院，一直从事卫星物联网、卫星大地中继网立时多址接入本事接洽，期骗传统的最优化算法以及智能学习算法措置多址接入中的问题。

汇报[22]：Trajectory Optimization and Resource Allocation in Air-Ground Integrated Networks

汇报东说念主：郭鸿志

时 间 ：2021年06月24日(星期四)17:00-17:45

本色简介：Due to the outstanding characteristics of unmanned aerial vehicles (UAV)， i.e.， maneuverability and flexibility， UAV enabled mobile edge computing (MEC) has become a widely attractive research direction. However， single UAV cannot be qualified for numerous tasks and applications scenarios in view of its limited computing capacity， while multi-UAV enabled MEC is still in the initial stage， and most existing work transformed the problem of multi-UAV enabled MEC into multiplied single UAV. The UAV swarm can make UAVs cooperate intelligently， and accomplish diversified tasks in complex environments at low cost， which is regarded as a promising development direction of UAV technology. In this talk， we present some of our works on UAV enabled air-ground edge computing， with special emphasis on trajactory optimization and resource allocation. Besides， our recent thinkings of UAV swarm-based edge computing， including air-air cooperation， role division， etc.， are also shared.

汇报东说念主简介：Hongzhi Guo received his B.S.， M.S.， and Ph.D. degrees in Computer Science and Technology from Harbin Institute of Technology in 2004， 2006， and 2011， respectively. He is currently an associate professor with the School of Cybersecurity， Northwestern Polytechnical University. He was the recipient of WiMob Best Paper Award 2019. His research interests cover MEC， AI， FiWi， IoT， 5G， smart grid， etc. He has published more than 30 peer-reviewed papers in many prestigious IEEE journals and conferences， and currently serves as an editor for IEEE Transactions on Vehicular Technology， Int. J. of Multimedia Intelligence and Security， and Frontiers in Communications and Network.

西北工业大学收集空间安全学院

西安市国外科技配合基地（I型）——无东说念主系统安全与智能通讯

2021年6月22日国产 拳交

• 智能
• 国产 拳交
• 2021
• 西北
• 工业大学