【高端学术】人工智能高端引智国际学术研讨会

主办单位：

北京航空航天大学人工智能研究院

协办单位：

中国指挥与控制学会青年工作委员会

中国指挥与控制学会集群智能与协同控制专委会

北京航空航天大学自动化科学与电气工程学院

北京工业大学北京人工智能研究院

飞行器控制一体化技术国家级实验室

未来区块链与隐私计算北京高精尖创新中心

数学、信息与行为教育部重点实验室

北航-二院二部集群智能控制联合实验室

北航-四院十七所智能协同与感知联合实验室

北航-一院研发部航天集群智能联合实验室

2022年6月18日人工智能高端引智国际学术研讨会

日程简表

 2022年6月18日  09:00-17:00 

直播链接：https://live.bilibili.com/25246389

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09:00-09:40，专家报告一

The evolving face of misinformation in text, image, and video content

Prof. David Doermann, IEEE Fellow

美国布法罗大学

报告摘要：

Unfortunately, the computer vision community has created a technology that gets more bad press than good. In 2014, the first work on Generative Advesariloy networks (GANS) demonstrated technology that automatically generated very low resolutions of faces of people that never existed from a random latent distribution. Although the technology was impressive because it was automated, it was nowhere near as good as what could be done with a simple photo editor. Recently, both industry and government have become increasingly concerned about the real dangers of using "DeepFakes" technologies from security and misinformation perspectives. To this end, academia, industry, and the government needs to come together to apply technologies, develop policies that put pressure on service providers, and educate the public before we get to the point where "seeing is believing" is a thing of the past. This talk will cover some primary efforts in applying counter manipulation detection technology. I will discuss how we are extending existing technology to deal with the problems of detecting GAN-generated content and highlighting inconsistencies between the text, audio, image, and video content in heterogeneous media "assets".

专家简介：

Dr. David Doermann is a Professor of Empire Innovation and the Director of the Artificial Intelligence and Data Science Institute at the University at Buffalo (UB). He developed, selected, and oversaw research and transition funding in computer vision, human language technologies, and voice analytics. He and his group of researchers focus on many innovative topics related to the analysis and processing of document images and video, including triage, visual indexing and retrieval, enhancement, and recognition of visual media's textual and structural components. David has over 250 publications in conferences and journals, is a fellow of the IEEE and IAPR, has numerous awards, including an honorary doctorate from the University of Oulu, Finland, and is a founding Editor-in-Chief of the International Journal on Document Analysis and Recognition.

09:40-10:20，专家报告二

Model free distributed optimization

Prof. Martin Guay

加拿大女王大学

报告摘要：

In this presentation, we will explore the problem of distributed optimization in the absence of exact knowledge of the local costs. We consider a standard distributed optimization that enforces consensus on local decision variables. We will investigate a Newton consensus approach that implements a Newton step for the dual problem of the distributed optimization problem. The proposed technique yields a Newton step without the explicit need for the inversion of the Hessian matrix. While this problem is appealing it can be difficult to implement when the number of decision variables is large. We will explore some avenues of investigation that could prevent explosions in the local problems to reduce the limitation of local storage in complex environments.

专家简介：

Dr. Martin Guay is a full professor at Department of Chemical Engineering of Queen’s University, Canada. His research interests are in the area of process control, control theory and applied statistics. He is well known for both his research accomplishments and his service to the control community. He has over 300 peer-reviewed publications and peer-reviewed conference proceedings to his record with books published by Springer and IET publications. His primary research interest is in the field of control where he has made significant technical contributions both in control theory and process control. In 2011, he received the Best Paper Award (Theory), Journal of Process Control (2008-1011). Dr. Guay received Queen’s University Chancellor Research Award in 2006. In 2018, he was awarded the D.G. Fisher Award from the Canadian Society of Chemical Engineers for his outstanding contribution to the Control and Systems division. Dr. Guay’s scholarly activities have been significant. Since 2002, he has served as Associate Editor for Automatica. He is also Associate Editor for the IEEE Transactions on Automatic Control. He is the Editor-in-Chief of Journal of Process Control and Senior Editor for the IEEE Control Systems Society Letters.

10:20-11:00，专家报告三

Applications of deep-tech in environmental service

Prof. Danwei Wang, IEEE Fellow

新加坡南洋理工大学

报告摘要：

深度智能科技已经趋于成熟，应该广泛应用到社会与工业各个领域，产生社会与经济效益。环卫系统一直是被认为低端行业，年轻人不愿意涉足。这个报告描述了深度智能技术如何应用，主要包括三个方面，（1）无人驾驶自主导航；（2）高保真遥控驾驶；（3）传感器网络安全。我们从系统角度描述深度智能技术的使用，优势与局限，以及大量的实地实验。最后对深度智能科技对环卫系统的应用前进进行讨论。

专家简介：

王郸维，新加坡工程院院士，IEEE Fellow，德国洪堡Fellow 与2017上海科技一等奖获得者。现任新加坡南洋理工大学电子与电机工程学院教授. 1989年于美国密歇根大学安娜堡分校获博士学位。他现任IEEE/RSJ IROS 主编。他发表了5本英文专著，7个书中章节，9个专利和500多篇国际杂志和会议论文。王教授涉及的研究领域包括机器人和力控制，先进控制系统设计，智能系统，学习控制，移动机器人，移动机器人路径和轨迹控制，卫星编队飞行和故障容错姿态控制，复杂系统的故障诊断和预测，交通灯控制等方面。至2022年2月，王教授的论文被科学引文索引（SCI）引用次数超过8800次以及在谷歌学术数据库引用超过15000次。

11:00-11:40，专家报告四

Control for intelligent manufacturing-A multiscale challenge

Prof. Hanxiong Li, IEEE Fellow

香港城市大学

报告摘要：

中国制造2025是计划通过物理信息系统(CPS)将生产中的供应-制造-销售有效集成，通过信息化和智能化，来实现个性化产品快速/有效的供应。其核心是智能制造：一个全面（包括设备和数据）自动化的无人工厂，这对未来的控制系统和智能决策提出了极高的要求。整个工业制造链涵盖多种生产设备和工艺过程：从单个机械动作，到多个嵌套的不同操作，乃至复杂的生产调度，和最终的智慧型管理决策。制造过程可以视为一个多变量耦合的多尺度复杂系统（包括快/慢时间尺度，时空耦合尺度，等），分布式操作累积的误差生成了多尺度不确定性，这是智能制造的关键挑战。从学术的视角来看，这是一个复杂的系统工程问题。控制的实现需要先对过程的复杂性进行分解，再对分解后的具体特性进行不同级别的操控，包括系统设计（静态控制）、过程建模与控制（动态控制），数据学习与决策（智能控制）。智能制造的核心硬件包括：智能传感器，智能处理系统，和智慧物联网。典型研究包括：多时间尺度下的设计和控制集成，时-空耦合尺度下的建模与控制，基于RFID的多功能智能感知，多维度尺度下的知识生成等。

专家简介：

李涵雄，1982 年于国防科大获学士学位，1991 年于荷兰代尔夫特（Delft）科技大学获硕士学位，1997 年于新西兰奥克兰（Auckland）大学获博士学位，现任教于香港城市大学。先后入选国家杰出青年基金（海外）获得者（2004），教育部长江学者（2006）和IEEE Fellow （2010）等。最近二十多年来一直从事智能制造方面的研究，侧重于工业过程的智能建模、设计与控制，和基于数据学习的智能决策。长期担任国际权威期刊IEEE Transactions on SMC (2002- 至今)的副主编和国内多个核心刊物的编委。出版系统建模和系统设计方面的英文专著2本；国家专利近20项；在国际权威学术期刊上发表SCI 论文250 多篇，h-index 为52 (web of science)。自2014以来一直被国际权威出版社Elsevier评为中国高被引学者。入选全球Top 1000 计算机科学家h指数(2020, 2021)。

15:00-15:40，专家报告五

Distributed consensus problems in intelligent energy systems

Prof. Xiaohua Xia, IEEE Fellow

南非比勒陀利亚大学

报告摘要：

Distributed consensus problems are abundant in intelligent energy systems such as provision of lighting, temperature, humidity and CO2 levels in office spaces, where human comfort, health and productive environment require uniformity of key livelihood indicators. In other systems such as battery energy storage systems, the balance of the state of charge is even more important in terms of safety and security. The advantage and implementation of distributed nature of the consensus are made possible by technical advances, and economic and computational requirements. This talk introduces three such cases where distributed consensus control and decision problems are posed with specific characteristics and with different level of sophistications. These are office lighting and direct expansion based air-conditioning climate control systems, and a battery energy storage system. The emphasis of the talk is to bring out the problem formulation, even though our application oriented solutions are also briefly shown.

专家简介：

Xiaohua Xia is a professor in the Electrical, Electronic and Computer Engineering at the University of Pretoria, South Africa, director of the Centre of New Energy Systems, and the director of the National Hub for the Postgraduate Programme in Energy Efficiency and Demand-side Management. He was academically affiliated with the University of Stuttgart, Germany, the Ecole Centrale de Nantes, France, and the National University of Singapore before joining the University of Pretoria in 1998. Prof. Xia is a fellow of the Institute for Electronic and Electrical Engineers (IEEE), a fellow of the South African Academy of Engineering (SAAE), and a member of the Academy of Science of South Africa (ASSAf). He has an A rating from the South African National Research Foundation (NRF). Prof Xia is a registered professional engineer with the Engineering Council of South Africa. He establishes Onga Energy, and consults extensively for the industry. He is a certified measurement and verification professional, and leads the measurement and verification team of the University of Pretoria. He served as the chair of the Technical Committee of Non-linear Systems of the International Federation of Automatic Control (IFAC). He has been an associate editor of Automatica, IEEE Transactions on Circuits and Systems II, IEEE Transactions on Automatic Control, specialist editor (control) of the SAIEE Africa Research Journal, vice editor in chief of Acta Automatica Sinica, and the editorial board member of Applied Energy, Advances in Applied Energy and Annual Review in Control. His research interests are control systems and automation, and more recently, the modelling, optimization and control of energy systems.

15:40-16:20，专家报告六

Cyber-secure performance degradation monitoring and

recovery of automatic control systems

Prof. Steven Ding

德国杜伊斯堡埃森大学

报告摘要：

It is state of the art that today’s automatic control systems in large-scale industrial processes should meet demands for high system performance and reliability. To this end, considerable research efforts have been devoted to the development of advanced performance degradation monitoring and recovering methods. The rapid development of cloud computing offers Software as a Service (SaaS) that enables online implementation of capable but complex performance degradation monitoring and recovering algorithms. A critical issue surrounding SaaS is data privacy and cyber- security. In this talk, a short introduction is given to (i) some advanced performance degradation monitoring and recovering methods, (ii) critical cyber-security issues of SaaS-based performance degradation monitoring and recovery in automatic control systems, and (iii) a control-theoretically oriented solution.

专家简介：

Prof. Steven X. Ding 1992年于德国杜伊斯堡大学获博士学位，1995年被德国University of Applied Science Lausitz 聘为终身教授，并于1998-2000年任该校副校长。2001年受聘于杜伊斯堡-埃森大学为控制工程教授，任自动控制及复杂系统所所长。自2001年起，Prof Steven X. Ding在欧盟第五、第六和第七框架项目（EC research framework programmes）担任协调者及组织者。Prof  Steven X. Ding与德国汽车和新能源工业界有着长期的紧密合作。

来源：中国挥指与控制学会