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International Symposium on 

Measurement and Control

March 10, 2021

Huazhong University of Science and Technology, China

Free online symposium:


Meeting ID: 375 400 6028

Passcode: 210310

All are welcome!

Honorary Chair:

Professor Han Ding

Member, Chinese Academy of Sciences

Director of Academic Committee

Huazhong University of Science and Technology

Executive Chairs:

Professor Zhigang Zeng

Fellow, IEEE

Dean, School of Artificial Intelligence and Automation

Huazhong University of Science and Technology

Professor Wenzhong Liu

School of Artificial Intelligence and Automation

Huazhong University of Science and Technology

Professor Dongrui Wu

School of Artificial Intelligence and Automation

Huazhong University of Science and Technology


Time shown is Beijing Time. Time in Poland is 7 hours behind, e.g., the first talk starts at 9AM in Poland.


Professor Janusz Kacprzyk


Member, Polish Academy of Sciences, Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, International Academy for Systems and Cybernetics Sciences (IASCYS)

Foreign Member, Bulgarian Academy of Sciences, Finnish Society of Sciences and Letters, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Royal Flemish Academy of Belgium for Science and the Arts (KVAB)

President, Polish Operational and Systems Research Society

Title: Cognitive biases in human centric decision making and control

Time: 16:00-16:30

Host: Dongrui Wu

Abstract: We deal with the broadly perceived decision making and control in a human centric context, that is, when the human being is a key elements, and his/her judgments, assessments and evaluations play an important role. The solutions obtained by using some mathematical modeling, decision analytic and control tools and techniques should be transparent, explainable and trustworthy to the human agent(s)s involved, and hence easier acceptable and implementable. We present an approach in which in the models considered the reflection of some human specific characteristocs is advocated, notably some cognitive biases which are some deviations from what traditional models, usually based on the utility maximization, postulate, and which are often followed by humans. After a brief review of main cognitive biases, we concentrate on the status quo bias, i.e. a tendency to defend and bolster the status quo, and avoid changes, and illustrate it use in a control model of regional agricultural development. 

Bio: Janusz Kacprzyk is Professor of Computer Science at the Systems Research Institute, Polish Academy of Sciences, WIT – Warsaw School of Information Technology, and Chongqing Three Gorges University, Wanzhou, Chinqgqung, China, and Professor of Automatic Control at PIAP – Industrial Institute of Automation and Measurements. He is Honorary Foreign Professor at the Department of Mathematics, Yli Normal University, Xinjiang, China. He is Full Member of the Polish Academy of Sciences, Member of Academia Europaea, European Academy of Sciences and Arts, European Academy of Sciences, Foreign Member of the: Bulgarian Academy of Sciences, Spanish Royal Academy of Economic and Financial Sciences (RACEF), Finnish Society of Sciences and Letters, and Flemish Royal Academy of Belgium of Sciences and the Arts (KVAB). He was awarded with 5 honorary doctorates. He is Fellow of IEEE, IET, IFSA, EurAI, IFIP and SMIA.
His main research interests include the use of modern computation computational and artificial intelligence tools, notably fuzzy logic, in systems science, decision making, optimization, control, data analysis and data mining, with applications in mobile robotics, systems modeling, ICT etc.
He authored 7 books, (co)edited more than 150 volumes, (co)authored more than 650 papers, including ca. 100 in journals indexed by the WoS. His bibliographic data are: Google Scholar: citations: 29898; h-index: 76, Scopus: citations: citations: 8977; h-index: 41, Publons: citations: 9612, h-index=43, Web of Science: citations: 7168; h-index: 36. He is listed in 2020 ”World’s 2% Top Scientists” by Stanford University, Elsevier (Scopus) and ScieTech Strategies and published in PLOS Biology Journal.
He is the editor in chief of 7 book series at Springer, and of 2 journals, and is on the editorial boards of ca. 40 journals.. He is President of the Polish Operational and Systems Research Society and Past President of International Fuzzy Systems Association.

Professor Leszek Rutkowski

Fellow, IEEE

Member, Polish Academy of Sciences

Title: Dealing with concept drift in stream data mining

Time: 16:30-17:00

Host: Dongrui Wu

AbstractThis lecture presents an overview of techniques to deal with concept drift in stream data mining, and moreover, describes original concepts developed by the author to solve classification and regression problems in a nonstationary environment. Unlike the vast majority of previous approaches, which are largely based on heuristics, it highlights methods and algorithms that are mathematically justified. More precisely, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment. The content of the lecture will be beneficial for researchers and practitioners who deal with stream data, e.g. in telecommunication, banking, and sensor networks. The material presented in the lecture is based on the recent book:

Leszek Rutkowski, Maciej Jaworski, Piotr Duda, “Stream Data Mining: Algorithms and Their Probabilistic Properties”, Studies in Big Data, Springer 2020.

Bio: Professor Leszek Rutkowski (IEEE Fellow and Full Member of the Polish Academy of Sciences) received the M.Sc. degree in cybernetics, the Ph.D. and D.Sc. degrees in automatic control/learning systems from the Wrocław University of Technology, Wrocław, Poland, in 1977, 1980, and 1986, respectively, and the honoris causa degree from the AGH University of Science and Technology, Cracow, Poland, in 2014. He has been with the Czestochowa University of Technology, Czestochowa, Poland, since 1980, where he currently holds the position of a Full Professor. From 1987 to 1990, he held a visiting position with the School of Electrical and Computer Engineering, Oklahoma State University, Stillwater, OK, USA. In 2004, he was elected as a member of the Polish Academy of Sciences, Warsaw, Poland. He has authored/co-authored over 300 publications and 8 books. Professor Leszek Rutkowski was a recipient of the IEEE Transaction on Neural Networks Outstanding Paper Award and, as the Chairman of the Chapter, the Outstanding Chapter Award from the IEEE Computational Intelligence Society. He was awarded by the IEEE Fellow Membership Grade for contributions to neurocomputing and flexible fuzzy systems in 2004. In 2015 Professor Leszek Rutkowski received a degree honoris causa from the prestigious AGH University of Science and Technology in Cracow “in recognition of outstanding scientific achievements in the field of artificial intelligence in particular neuro-fuzzy systems”. Professor Leszek Rutkowski is the Founding Chair of the Polish Chapter of the IEEE Computational Intelligence Society, and in 2019 was elected as the President of the Polish Neural Network Society. His current research interests include stream data mining, neural networks, deep learning, multiagent systems, fuzzy modeling, and pattern classification. He is editor-in-chief of the Journal of Artificial Intelligence and Soft Computing Research, and he is on the editorial board of the IEEE Transactions on Cybernetics, International Journal of Neural Systems, International Journal of Applied Mathematics and Computer Science and Knowledge and Information Systems. He is a widely cited and internationally recognized scholar with an H index equal to 52, 43, and 42, in Google Scholar, Web of Science, and Scopus databases, respectively. 

Professor Maciej Jerzy Ogorzalek

Fellow, IEEE

Member, Polish Academy of Sciences, European Academy of Sciences (Academia Europaea).

Editor-in-Chief, IEEE Circuits and Systems Magazine (2004-2007)

Title: Integrated circuit design for deep learning and AI applications

Time: 17:00-17:30

Host: Dongrui Wu

Abstract: Integrated circuits are omnipresent. We not only use mobile phones, personal computers but we are surrounded by systems whose operation highly depends on advances sensors, processing systems, controllers etc. such as home appliances, cars, smart cards, smart energy systems, bio-medical equipement, smart offices, transportation systems and many others. There are more and more new applications appearing in the picture with enormous data flows to deal with and process for our advantage. One of these application areas is Artificial Intelligence (AI) and specifically Deep Learning in various domains of applications. For these new envisaged applications we will need electronic systems with much improved, maybe 1000 times, performance in terms of power consumption, speed of operation and reliability. Data transfer bottleneck, power consumption and scalability become major obstacles to be overcome. 3D integration looks as a fantastic area of development and offers also unprecedented opportunities by allowing blocks fabricated in heterogeneous technologies to be integrated in one chip. This allows for stacking and integration of microprocessors, memories, RF circuitry, sensors, batteries and hyper-capacitors, energy harvesting blocks, biological and chemical sensors and many new types of building blocks in one chip. However innovation is needed for new developments. AI acceleration requires still better solutions! In this lecture we will present the state of-the-art and an outlook with commentaries what kind of new solutions might be needed.

Bio: MACIEJ J. OGORZALEK is Professor of Electrical Engineering and Computer Science and Head of the Department of Information Technologies, Jagiellonian University Krakow, Poland. He held many visiting positions in Switzerland, US, Spain, Japan, Germany. Between 2006-2009 he held the Chair of Biosignals and Systems, Hong Kong Polytechnic University under the Distinguished Scholars Scheme. In 2019/2020 he was visiting professor at the Integrated Systems Laboratory at EPFL, Switzerland. Author or co-author of over 380 papers published in journals and conference proceedings and a book Chaos and Complexity in Nonlinear Electronic Circuits. He gave over 60 plenary and keynote lectures at major conferences world-wide. He served as Editor-in-Chief of the IEEE Circuits and Systems Magazine (2004-2007), member of the editorial boards of the IEEE Transactions on Circuits and Systems Part I, Proceedings of the IEEE, International Journal of Bifurcation and Chaos, International Journal of Circuit Theory and Applications also the NOLTA Journal IEICE Japan. Dr. Ogorzalek is IEEE Fellow (1997). He was IEEE 2008 Circuits and Systems Society President. He served as IEEE Division 1 Director, Member of the IEEE Board of Directors (2016-2017). He is Member of the Polish Academy of Sciences (PAN) and Member of the European Academy of Sciences (Academia Europaea).


Professor Włodzisław Duch

Deputy Minister for Science and Higher Education, Poland (2014-2015)

Vice-President for Research and ICT Infrastructure, Nicolaus Copernicus University (2011-2014)

President, European Neural Networks Society executive committee (2006-2008-2011)

Title: Searching for fingerprints of brain activity

Time: 17:30-18:00

Host: Dongrui Wu

Abstract: In recent years great progress in methods of brain activity measurement, analysis of neuroimaging and electrophysiological data enabled understanding of some brain processes. Identifying patterns of EEG/MEG, ECoG or fMRI signals that serve as “fingerprints” of high subnetwork activity allows for many applications: linking brain activity with thoughts, intentions, emotions and other mental states, objective diagnostic methods in neuropsychiatry, reliable brain-computer interfaces (BCI), optimization of brain processes through neurofeedback, therapeutic interventions using neuromodulation, neurorehabilitation based on direct brain stimulation combined with behavioral procedures. Some commercial applications for treating epilepsy, major depression and other mental problems are already on the market.

This talk will be focused on attractor neurodynamics that engages many brain regions. “The society of mind” approach of Marvin Minsky may be used to link temporal binding of modules without fixed connections into large-scale networks. Our recent fMRI experiments show how learning leads to dynamical reconfiguration of functional brain networks. Challenges that remain to understand how brains perform complex computations will be presented.

BioWlodzislaw Duch is the head of the Neurocognitive Laboratory in the Center of Modern Interdisciplinary Technologies, and the Neuroinformatics and Artificial Intelligence group in the University Centre of Excellence Dynamics, Mathematical Analysis and Artificial Intelligence. For many years he has been running the Department of Informatics, both at Nicolaus Copernicus University, Torun, Poland. Currently his laboratory is hosting Polish node of the International Neuroinformatics Coordination Facility (INCF). In 2014-15 he has served as a deputy minister for science and higher education in Poland, and in 2011-14 as the Vice-President for Research and ICT Infrastructure at his University. Before that he has worked as the Nanyang Visiting Professor (2010-12) in the School of Computer Engineering, Nanyang Technological University, Singapore where he also worked as a visiting professor in 2003-07. MSc (1977) in theoretical physics, Ph.D. in quantum chemistry (1980), postdoc at Univ. of Southern California, Los Angeles (1980-82), D.Sc. in applied math (1987); worked at the University of Florida; Max-Planck-Institute, Munich, Germany, Kyushu Institute of Technology, Meiji and Rikkyo University in Japan, and several other institutions. He is/was on the editorial board of IEEE TNN, CPC, NIP-LR, Journal of Mind and Behavior, and 14 other journals; was co-founder & scientific editor of the “Polish Cognitive Science” journal; for two terms has served as the President of the European Neural Networks Society executive committee (2006-2008-2011), is an active member of IEEE CIS Technical committee; International Neural Network Society Board of Governors elected him to their most prestigious College of Fellows, and elected member of the Complex Systems Committee of the Polish Academy of Arts and Letters. Expert of the European Union science programs (FP4 to Horizon 2020), member of the high-level expert group of European Institute of Innovation & Technology (EIT). He has published about 360 peer-reviewed scientific papers, has written or co-authored 5 books and co-edited 21 books, and published over 150 conference abstracts and 125 popular articles on diverse subjects. His DuchSoft company has made GhostMiner datamining software package for many years marketed by Fujitsu.

Wlodek Duch is well known for development of computational intelligence (CI) methods that facilitate understanding of data, general CI theory based on similarity evaluation and composition of transformations, meta-learning schemes that automatically discover the best model for a given data. He is working on development of neurocognitive informatics, focusing on algorithms inspired by cognitive functions, information flow in the brain, learning and neuroplasticity, understanding of attention, integrating genetic, molecular, neural and behavioral levels to understand attention deficit disorders in autism and other diseases, infant learning and toys that facilitate mental development, creativity, intuition, insight and mental imagery, geometrical theories that allow for visualization of mental events in relation to the underlying neurodynamics. He has also written several papers in the philosophy of mind, and was one of the founders of cognitive sciences in Poland.


Professor Roman Szewczyk

Member, University Council of Warsaw University of Technology

Title: Modelling the magnetic and magneto-mechanical properties of materials for bio-medical and mechatronics applications

Time: 18:00-18:30

Host: Wenzhong Liu

Abstract: Our Team at Warsaw University of Technology works in the area of application of magnetic, magnetoelastic and electromagnetic properties of soft magnetic materials. We have three main areas of complementary activities: new measurement techniques, numerical modelling and industrial applications. Our team developed novel eddy current tomograph setup as well as the set of precise magnetovision systems. We have unique experience in testing the magnetic, magnetostrictive and magnetoelastic properties of novel magnetic materials, such as nanocrystalline materials, soft ferrites and microwires. We also develop methods of modelling focused on theoretical models of magnetization process, considering magnetic anisotropy and magneto-mechanical interaction. Together with our partner in Finland we develop Finite Elements Method-based models of biomedical devices and sensors, such as non-magnetic chambers, fluxgates or electropermanent magnets. We are focused on open source modelling environment, what enables simple and cost-efficient technology transfer to the industry. We were involved in development of graphene-based Hall sensors and current transformers (in production in LUMEL S.A.) as well as microwave laboratory equipment (in production in RADWAG Radom).

Bio: Roman Szewczyk PhD., DSc. is the Secretary for Scientific Affairs in Industrial Research Institute for Automation and Measurements. He is also associated professor at the Faculty of Mechatronics, the member of University Council of Warsaw University of Technology. Prof. Dr Roman Szewczyk was serving as a referee during FP7 NMP and SME calls. He was involved in realization over 10 EU-founded research projects with in FP6 and FP7. He is also involved in European projects financed by European Defence Organization. Moreover, he was leading two regional and national scale technological foresight projects and was actively organizing technological transfer between companies and scientific institutes. Roman Szewczyk PhD., DSc. is a former Vice-head of Polish Young Academy, Polish Academy of Sciences (2012-2014). Moreover he was acting as a Head of Program Committee of Foundation for Automation and Robotics. He is a Member of International Frequency Sensors Organization as well as Member of Scientific Committees of different international conferences focused on sensors and interfacing technology. Roman Szewczyk PhD., DSc. received both PhD and DSc in the field of mechatronics. He is specializing in modelling the properties of magnetic materials as well as sensors and sensor’s interfacing, especially magnetic sensors for security applications. He is leading the development of sensing unit for mobile robot for Polish Police Central Forensic Laboratory and methods of non-destructive testing based on magnetoelastic effect. Prof. Dr Roman Szewczyk is an author of 47 publications listed in Scopus base as well as about 50 publications in other technical and scientific journals. He is a co-author of 2 patents and 3 patents pending.

Professor Lijun Zhang

Title: Control engineering perspectives of vehicular dynamics and the beyond 

Time: 18:30-19:00

Host: Wenzhong Liu

Abstract: Automatic control systems in all kinds of vehicles, including conventional trains and modern electric vehicles, are getting increasingly sophisticated. This is because 1) more and more ‘smart’ devices are equipped on such vehicles, 2) the changing of how people interact with vehicles, and 3) the ability of vehicles to interact with other facilities empowered by modern technologies. In this talk, I will present some results obtained in our previous research projects on energy-efficient operational control of heavy haul trains and electric vehicles equipped with advanced technologies. After that, some future research activities about electric vehicle control and optimization considering vehicle-to-everything (V2X) possibility will be discussed. 

Bio: Lijun Zhang was an Associate Professor at the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria until 31 Jan 2021. He obtained his PhD degree from the University of Pretoria in 2016 and his MEng and BEng degrees from the Wuhan University in 2012 and 2010, respectively. He is a technical signatory for the measurement and verification of energy savings accredited by the South African National Accreditation System and a professional engineer registered with the Engineering Council of South Africa. His research interests include energy modelling, optimization and control system design for electric vehicles, heavy haul trains, micro-grids and demand side management. He has published over 60 academic papers. He served many technical committees of recognised international conferences. He is also an associate editor of Protection and Control of Modern Power Systems and a specialist editor for SAIEE Africa Research Journal.