ICICSP 2022

September 16th (Sat.) - September 18th (Sun.), 2022 / Shenzhen, China(中国 深圳)

Conference Information

Conference Date

ICICSP 2022

Sep.16-18

ICICSP 2022 Plenary Speakers

 

 

Prof. Tiejun Cui (中国科学院院士, IEEE Fellow)

Southeast University, China

 

中国科学院院士,东南大学信息科学与工程学院教授、博导,作为第一完成人获2014 年国家自然科学二等奖、2018年国家自然科学二等奖、2016年军队科学技术进步一等奖及2011年教育部自然科学一等奖,获国家杰出青年科学基金资助。他在《Science》、《Nature》 子刊、《PNAS》和《PRL》等发表论文400余篇,出版专著3 部,论文被引用3万余次(H因子86,谷歌学术),授权国家发明专利80余项。

 

Plenary Talk: Intelligent Sensing and Imaging Based on Information Metasurfaces

Tie Jun Cui received his B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from Xidian University, Xi'an, China, in 1987, 1990, and 1993, respectively. In 1993, he joined the Department of Electromagnetic Engineering, Xidian University, and was promoted to associate professor in 1993. From 1995 to 1997, he was a research fellow with the Institut fur Hochstfrequenztechnik und Elektronik, University of Karlsruhe, Germany. In 1997, he joined the Center for Computational Electromagnetics, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, first as a postdoctoral research associate and then as a research scientist. In 2001, he was a Cheung-Kong Professor with the Department of Radio Engineering, Southeast University. Currently he is the Chief Professor of Southeast University. He is also the founding director of the Institute of Electromagnetic Space, Southeast University. His current research interests include metamaterials and computational electromagnetics. He has published over 500 peer-review journal papers, which have been cited more than 40,000 times (H-Factor 102; Google Scholar). He is the Academician of the Chinese Academy of Science.

 

 

Prof. Jianqi Wu (中国工程院院士)

The 38th Research Institute of China Electronics Technology Group Corporation, China

 

 

吴剑旗,雷达领域专家,1987年毕业于北京航空航天大学,1990年、2018年毕业于电子科技大学,获硕士、博士学位。现任中国电子科技集团公司首席科学家,三十八所科学技术委员会主任,现任中国电子学会雷达分会主任委员,国防科工科技委军事电子领域专业组组长,军委科技委网信领域专家委员会委员。

2021年当选中国工程院院士。

长期专注米波反隐身雷达理论研究、关键技术攻关和工程研制工作。提出米波反多径干涉理论模型和方法等,攻克米波雷达盲区大、不能测高、分辨力低和测距精度差等世界性难题,主持研制成功我国首型米波三坐标(3D)雷达、世界首部米波稀布阵4D雷达和米波搜索制导雷达等反隐身装备。增强了我国土防空反隐身能力,形成大范围对隐身飞机的警戒和引导打击能力。获国家科技进步一等奖1项(排3)、二等奖3项(均排1)。出版《先进米波雷达》中英文专著各1本和《稀布阵综合脉冲孔径雷达》中英文专著各1本。获授权发明专利15项。获全国先进工作者、全国创新争先奖状、万人计划领军人才、全国优秀科技工作者、杰出工程师等荣誉。

 

 

 

Prof. Shuguang Cui (IEEE Fellow)

the Chinese University of Hong Kong (Shenzhen), China

 

 

国家重点研发计划首席科学家,全球高被引学者,IEEE Fellow,深圳市杰出人才培养计划首批入选人。

 

Speech Title: The Merging between AI and Communication Network Optimization (Click for abstract)

Shuguang Cui received his Ph.D in Electrical Engineering from Stanford University, California, USA, in 2005. Afterwards, he has been working as assistant, associate, full, Chair Professors in Electrical and Computer Engineering at the Univ. of Arizona, Texas A&M University, and UC Davis, respectively. He is currently the Distinguished Presidential Chair Professor at the Chinese University of Hong Kong (Shenzhen), and the Director of Future Network of Intelligence Institute (FNii). His current research interests focus on the merging between AI and network design. He was selected as the Thomson Reuters Highly Cited Researcher and listed in the Worlds’ Most Influential Scientific Minds by ScienceWatch in 2014. He was the recipient of the IEEE Signal Processing Society 2012 Best Paper Award. He has served as the general co-chair and TPC co-chairs for many IEEE conferences. He has served the elected Chair for IEEE ComSoc Wireless Technical Committee (2017~2018), and a member of the Steering Committee for both IEEE Transactions on Big Data and IEEE Transactions on Cognitive Communications and Networking. He was elected as an IEEE Fellow in 2013 and an IEEE ComSoc Distinguished Lecturer in 2014. His recent work got honors of IEEE ICC’2020 best paper award, the IEEE Globecom’2020 best paper award, and the IEEE ICIP’2020 best paper finalist.

 

 

Prof. Martin Haardt (IEEE Fellow)

Ilmenau University of Technology, Germany

 

Plenary Talk: Probability Mass Estimation in Tensors with Hidden Elements Using Structure

 

Martin Haardt has been a Full Professor in the Department of Electrical Engineering and
Information Technology and Head of the Communications Research Laboratory at Ilmenau University of Technology, Germany, since 2001. After studying electrical engineering at the Ruhr-University Bochum, Germany, and at Purdue University, USA, he received his Diplom-Ingenieur (M.S.) degree from the Ruhr-University Bochum in 1991 and his Doktor-Ingenieur (Ph.D.) degree from Munich University of Technology in 1996.

In 1997 he joint Siemens Mobile Networks in Munich, Germany, where he was responsible for strategic research for third generation mobile radio systems. From 1998 to 2001 he was the Director for International Projects and University Cooperations in the mobile infrastructure business of Siemens in Munich, where his work focused on mobile communications beyond the third generation. During his time at Siemens, he also taught in the international Master of Science in Communications Engineering program at Munich University of Technology.

In 2018, Martin Haardt has been named an IEEE Fellow “for contributions to multi-user MIMO communications and tensor-based signal processing.” He has received the 2009 Best Paper Award from the IEEE Signal Processing Society, the Vodafone (formerly Mannesmann Mobilfunk) Innovations-Award for outstanding research in mobile communications, the ITG best paper award from the Association of Electrical Engineering, Electronics, and Information Technology (VDE), and the Rohde & Schwarz Outstanding Dissertation Award. (Read More)

 

 

 

Prof. Fulvio Gini (IEEE Fellow)

University of Pisa, Italy

 

Plenary Talk: Misspecified Lower Bounds and its application to Inference Problems with Complex Elliptically Symmetric Distributed Data

 

Fulvio Gini (Fellow, IEEE) received the Doctor Engineer and the Research Doctor degrees in electronic engineering from the University of Pisa, Pisa, Italy, in 1990 and 1995, respectively. In 1993, he joined with the Department of Ingegneria dell’Informazione, the University of Pisa, where, since 2006, he has been a Full Professor. Since November 2016, he has been the Deputy Head of the Department. Since January 2007, he has been an Associate Editor for the IEEE Transactions on Aerospace and Electronic Systems and for the Elsevier Signal Processing journal since December 2006.

He has been an Associate Editor and a Senior Associate Editor for the IEEE Transactions on Signal Processing since February 2016. From 2000 to 2006, he was a Member of the EURASIP JASP Editorial Board. From 2007 to 2011, he was the Co-founder and first Co-Editor-in-Chief of the Hindawi International Journal on Navigation and Observation. From 2012 to 2014, he was the Area Editor for the Special Issues of the IEEE Signal Processing Magazine. He authored or coauthored 11 book chapters, 141 journal papers, and 172 conference papers. He was the co-recipient of the 2001 and the 2012 IEEE AES Society's Barry Carlton Award for Best Paper published in the IEEE Transactions on AES and the co-recipient of the 2020 EURASIP JASP Best Paper Award. He was the recipient of the 2020 EURASIP Meritorious Service Award, the 2003 IEEE Achievement Award, and the 2003 IEEE AES Society Nathanson Award to the Young Engineer of the Year. He is the IEEE AES Society Awards Chair, a Member of the IEEE AES Society Radar System Panel from 2008 to present, a Member of the IEEE AES Society Board of Governors (BoG) from 2017 to 2022, and a Member of the IEEE Signal Processing Society BoG from 2021 to 2023. He was a Member of the IEEE SPS Awards Board (2016-2018) and of the IEEE SPS Conference Board (2019-2020). He has been a Member of the Signal Processing Theory and Methods Technical Committee (TC) of the IEEE Signal Processing Society and of the Sensor Array and Multichannel TC for many years. From 2020 to 2021, he is a Member of the IEEE TAB Awards and Recognition Committee. He was a Member of the Board of Directors of the EURASIP Society, the Award Chair from 2006 to 2012 and the EURASIP President from 2013 to 2016. He was a Section Editor for the Radar Signal Processing section, Vol. 3 of the Academic Press Library in Signal Processing. He is the co-editor and the Author of the book Knowledge Based Radar Detection, Tracking and Classification and the book Waveform Diversity and Design.

 

 

 

Prof. Dr.-Ing. Paolo Mercorelli

Leuphana University of Lueneburg, Germany

 

Talk: Soft Optimal Computing Techniques to Identify and Control Surface Roughness in Manufacturing

 

Paolo Mercorelli received the M.S. degree (Laurea) in Electronic Engineering from the University of Florence, Florence, Italy, in 1992, and the Ph.D. degree in Systems Engineering from Alma Mater Studiorum University of Bologna, Bologna, Italy, in 1998. In 1997, he was a Visiting Researcher for one year in the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, USA. He was awarded by the Marie Curie Actions research fellowship program sponsored by The European Commission in year 1998 which he spent in ABB (Asea Brown Boveri) Corporate Research, Heidelberg.

The Marie Curie Actions research fellowship program is a set of mobility research grant schemes funding pre- and post-doctoral researchers in Europe as well as experienced researchers from all over the world. The Marie-Curie Fellowships are Europe’s most competitive and prestigious awards, and are aimed at fostering interdisciplinary research and international collaborations. Thanks to this scholarship, from 1998 to 2001, he was a Postdoctoral Researcher with ABB (Asea Brown Boveri) Corporate Research, Heidelberg, Germany. From 2002 to 2005, he was a Senior Researcher with the Institute of Automation and Informatics, Wernigerode, Germany, where he was the Leader of the Control Group. From 2005 to 2011, he was an Associate Professor of Process Informatics with Ostfalia University of Applied Sciences, Wolfsburg, Germany. In Wolfsburg, he was involved in various projects with the Volkswagen AG Research Center. In 2010 he received the call from the German University in Cairo (Egypt) for a Full Professorship (Chair) in Mechatronics which he declined. In 2011 he was a Visiting Professor at Villanova University, Philadelphia, USA, where he received the call for Professor of Dynamic Systems which he declined. Since 2012 he has been a Distinguished Full Professor (Chair) of Control and Drive Systems at the Institute of Product and Process Innovation, Leuphana University of Lueneburg, Lueneburg, Germany. Since winter semester of the academic year 2017/2018 he has obtained a Distinguished International Visiting Professor Fellowship at the Institute of Automatic Control of Lodz University of Technology (Poland) and he is responsible for the course of „Modelling of Industrial Control Systems“ and for the course of „Modelling Methods of Analog Circuits“ at the Master in „Automation and Robotics“. Since 2018 he has obtained a Visiting Scientist Fellowship at the Czech Academy of Science of Prague (Czech Republic) with the Institute of Information Theory and Automation (UTIA) working on the Project entitled „Complex Motion Modeling and Control for Robotic Systems„. Since 2109 he has been lecturer and Visiting Professor at the PhD School of the University of Miskolc and Craiova. Since 2019 he has been lecturer for USAC (University Studies Abroad Consortium) giving each Semester online lecturer in different American Universities (University of Nevada, Reno, University of Arkansas, Wright State University, Dayton, Ohio). He received seven best international conferences paper awards: IECON 2013, IECON 2014, CoDIT 2014, ICCC 2017, FedCSIS 2019, ACD 2019, ICCC 2020.

 

 

ICICSP 2022 Plenary Speakers of Special Section

 

 

Prof. Weiyang Qiao

Northwestern Polytechnical University, China

 

 

Head of Turbomachinery Aerodynamics and Acoustics Laboratory (TAAL), Northwestern Polytechnical University

 

 

Prof.-Dr. Qiao Weiyang, is a tenured professor and the head of the Turbomachinery Aerodynamics and Acoustics Laboratory (TAAL) in Northwestern Polytechnical University (Xi’an, China). At present, he is also a member of the expert panel of the National Aero Engine and Gas Turbine major special basic research committee, and a member of engine test technical committee of Chinese Aeronautical Society, the director of the academic committee of Key Laboratory of aerodynamic noise control in CARDC, the deputy director of the academic committee of Key Laboratory of aero engine internal flow aerodynamics of shaanxi province. Prof.-Dr. Qiao Weiyang has more than 30 years experiences in unsteady flow, aeroacoustics and related fields, where he generally emphasizes the analysis of the unsteady flow field and sound field of turbomachinery and sound source localization with microphone array. He has led and participated in numerous National projects and Natural Science Foundation of China (NSFC) projects related to aircraft noise reduction and gas turbine engine design, and has published more than 300 papers in turbomachinery aerodynamics and aeroacoustics.

 

 

Prof. Ali Mohammad-Djafari

Université Paris-Saclay, France

 

 

 

 

Ali Mohammad-Djafari received the B.Sc. degree in electrical engineering from Polytechnic of Teheran, in 1975, the diploma degree (M.Sc.) from Ecole Supérieure d'Electricit(SUPELEC), Gif sur Yvette, France, in 1977, the "Docteur-Ingénieur" (Ph.D.) degree and "Doctorat d'Etat" in Physics, from the University of Paris Sud 11 (UPS), Orsay, France, respectively in 1981 and 1987. He was Assistant Professor at UPS for two years (1981-1983). Since 1984, he has a permanent position at "Centre National de la Recherche Scientifique (CNRS)" and works at "Laboratoire des signaux et systèmes (L2S)" at SUPELEC. He was a visiting Associate Professor at University of Notre Dame, Indiana, USA during 1997-1998. From 1998 to 2002, he has been at the head of Signal and Image Processing division at this laboratory.

Presently, he is "Directeur de recherche" and his main scientific interests are in developing new probabilistic methods based on Bayesian inference, Information Theory and Maximum Entropy approaches for Inverse Problems in general in all aspects of data processing, and more specifically in imaging and vision: image reconstruction, signal and image deconvolution, blind source separation, sources localization, data fusion, multi and hyper spectral image segmentation. The main application domains of his interests are Computed Tomography (X rays, PET, SPECT, MRI, microwave, ultrasound and eddy current imaging) either for medical imaging or for non destructive testing (NDT) in industry, multivariate and multi dimensional data, signal and image processing, data mining, clustering, classification and machine learning methods for biological or medical applications.

He has supervised more than 20 Ph.D. Thesis, more than 10 Post-doc research activities and more than 50 M.Sc. Student research projects. In 2013, he was supervising 6 Ph.D. Thesis where four graduated successfully. He has more than 40 full journal papers and more than 200 papers in national and international conferences. He has organized or co-organized about 10 international workshops and conferences. He has been expert for a great number of French national and international projects. Since 1988 he has many teaching activities in M.Sc. and Ph.D. Level in SUPELEC, University of Paris sud, ENSTA and Ecole centrale de Paris.

 

Prof. Jerome Antoni

University of Lyon, France

 

 

 

 

Prof. Jerome Antoni received a M.S. degree in Mechanical Engineering (1995), University of Technology of Compiegne, France, and the Ph.D. degree in signal processing (2000) from the Grenoble Institute of Technology, France. He currently holds a full Professor position at the University of Lyon, France. He has spent several periods at the University of New South Wales, Australia, and at the VrijeUniversiteit Brussel, Belgium. He isregular expert for the ANR (National Research Agency; regular expert for the AERES (Evaluation Agency for Research and Higher education ); expert for the FWO (National Fund for Scientific Research; regular expert for the Italian Research Assessment Exercise. Jerome Antoni is with the Editorial Boards of Mechanical System and Signal Processing, International Journal of Condition Monitoring, International Journal of Rotating Machinery, and Diagnostika. Prof. Jerome Antoni received “Robert Houdin” Prize for the most innovative paper “Principes de moindre action en analyse modale opérationnelle ", and Best paper award for “Cyclostationarity for Ship Detection Using Passive Sonar: Progress towards a Detection and Identification Framework”, presented at the Australian Acoustics Society National Conference.
The main direction of his research activity is concerned with the development of signal processing methods for mechanical systems, in particular for Condition Monitoring. Another theme is the resolution of inverse problems in acoustics and vibrations, in particular from probabilistic approaches. Current interests deal with the cyclostationary modelling of rotating machine signals, blind source separation, and (non-) parametric identification of mechanical systems and material properties, source identification and acoustic imaging. He is also actively involved in national projects like SEMAFOR funded by the Fondation Recherche Aéronautique Espace, a virtual lab composed of MicrodB, Ecole Centrale de Lyon and INSA-Lyon with research activities in imaging techniques for aeroacoustics.