Prof. Alessandro Barbiero Department of Economics, Management and Quantitative Methods, University of Milan, Italy.
Prof. Alessandro Barbiero is currently Associate Professor of Statistics at the Department of Economics, Management and Quantitative Methods of the University of Milan, where he has been working since 2008, first as a post-doc fellow and then as a fixed-time researcher. Here he teaches Statistics to both undergraduates and graduate students. He holds a PhD in Statistics from the University of Milano-Bicocca and a master degree in Management Engineering from the University of Udine. His research interests include approximation of continuous random variables, copulas and dependence modeling, stochastic reliability, resampling techniques, missing data imputation. His works were published in Annals of Operations Research, Communications in Statistics - Simulation and Computation, Psychometrika, Multivariate Behavioral Research, Applied Stochastic Models in Business and Industry, etc. He is member of the Editorial Board of several international journals; Among them, the International Journal of Business Intelligence and Data Mining (Inderscience) and the Journal of Probability and Statistics (Hindawi).
Speech Tilte: A New Method for Building a Discrete Counterpart to a Continuous Random Variable Based on Minimization of a Distance Between Distribution Functions
Abstract: A novel procedure is introduced and described for constructing a discrete counterpart to a continuous probability distribution, which is based on the minimization of a statistical distance between cumulative distribution functions. The procedure, which leads to a closed-form expression of the resulting probability mass function for most parametric distributions, is compared to existing discretization techniques, also with reference to the exponential case. An application is also provided, related to the insurance field, which underlines the usefulness of constructing discrete counterparts.
Prof. Wenfeng Wang, School of Electrical and Electronic Engineering, Shanghai Institute of Technology, China.
Prof. Wenfeng Wang is the editor in chief of International Journal of Electrical and Electronics Engineering (IJEEE) and International Journal of Applied Nonlinear Science. He is currently a full professor of School of Electrical and Electronic Engineering, Shanghai Institute of Technology. He is also the director of International Academy of Visual Art and Engineering in London and the JWE Technological Research Center in Shanghai. He has been invited as a tenured professor by IMT Institute in India and the director of Sino-Indian Joint research center of artificial intelligence and robotics. He was selected in 2018 as a key tallent in Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences. He is a reviewer of many SCI journals, including some top journals - Water Research, Science China-Information Sciences, Science of the Total Environment, Environmental Pollution, IEEE Transactions on Automation Science and Engineering and etc. He served as a keynote speaker of AMICR2019, IACICE2020, OAES2020, 3DIT-MSP&DL2020, NAMSP2021 and etc. He is also the scientist in chief of several influential companies (e.g., RealMax, SLAI Lab and etc.). Professor Wang has great will to serve for interested journals and he also knows well about how to develop these journals. His belief is to work at the best for each dream.
Speech Tilte: A Nonlinear Framework of Layered Intelligence for Video-based Recognition
Abstract: Many algorithms for multidimensional signal processing were presented in the past decades although, video-based recognition of occluded faces is still a great challenge. This research presents a new approach to tackle this challenge, which can be summarized as a “five layer intelligence”. These five intelligence layers are respectively environments sensing, active learning, cognitive computing, intelligent decision making and automatic control/execution. The experimental results are very promising and also present a new approach for other real challenges in multidimensional signal processing.
Prof. Yanpu Zhao, School of Electrical Engineering and Automation, Wuhan University, Wuhan, China
Biography: Prof. ZHAO Yanpu was graduated from Hebei University of technology with a bachelor's degree, and in 2009, he graduated from Nankai University with a master's degree in computational mathematics. In 2010, he went to the Department of electrical engineering of Hong Kong Polytechnic University to study for a doctor's degree. In 2015, he joined the school of electrical and computer engineering of Purdue University for postdoctoral research. In May 2016, he joined the R & D headquarters of American ANSYS company in Canonsburg, Pennsylvania and served as senior algorithm R & D Engineer of ANSYS Maxwell 3D low frequency electromagnetic field products. In July 2019, he returned home full-time to join the school of electrical and automation of Wuhan University.
Research field: in recent ten years, it has been committed to the research and development of engineering electromagnetic field numerical method, multi physical coupling calculation of high voltage equipment, equipment optimization design and engineering finite element software development. The future research group will devote itself to the exploration and research of core research fields related to computational high voltage engineering.
Academic part-time: IEEE member, member of the technical committee of ichve 2020 and ei22020 international conferences, member of the integrated energy system digital twin special committee of China simulation society, member of the power system digital twin Technical Subcommittee of IEEE PES China, member of the power system dynamic Technical Committee of IEEE PES China, serving as IEEE Reviewers of many international journals such as IET and ijnm and international conferences on computational and applied electromagnetic fields (COMPUMAG, CEFC, INTERMAG, aces, etc.).
Academic papers: Published 30 papers in IEEE Transactions on industrial electronics, IEEE Transactions on magnetism and other top SCI journals of the discipline; He has published more than 40 international conference papers.
Speech Title: Low- and Mid-frequency Electromagnetic Field Simulation Methods and Implementation Techniques
Abstract: Two kinds of formulations for low-frequency electromagnetic field computation will be introduced and reviewed first. Finite element programming techniques and implementation difficulties will be demonstrated, basis function and right hand side computation methods are emphasized to ensure the uniqueness and solvability of the discretized algebraic matrix equation. In the next, a new kind of dual formulations based on the magnetic vector potential A and the magnetic field intensity H for magnetostatic problems will be presented. This method is featuring the same coefficient matrix for both A and H formulation, and it can provide both the upper and lower limit of the system energy and hence it has a great advantage when computing the inductance parameters. In the last part, a new kind of mid-frequency electromagnetic field computational method is proposed by simultaneously considering the inductive and capacitive effects of the system. Numerical schemes are provided and the symmetric version of the discrete scheme is given. Numerical examples are illustrated for validating the proposed scheme, including computing the resonant frequency and a field-circuit coupled capacitor example. The numerical implementation with FreeFem++ is also demonstrated.
Prof. Xiong Li, School of Systems Science and Engineering, Sun Yat-sen University, China.
Biography: Prof. Xiong Li focuses on researching in System Analysis and Simulation, Agent-based Modeling, Complex Systems Engineering, and Logistics Data Analytics. He has published a book entitled “Agent-based Warfare Modeling” by National Defense Industry Press in 2013, and more than 100 papers in scientific journals, of which 60 have been indexed by SCI and EI. Besides, his PhD thesis entitled “Study on Warfare System Modeling Based on Meta-agents Interaction Chain” was nominated as one of the 30 Chinese PLA most excellent doctor theses in 2010 and the 100 national most excellent doctor theses in 2011, respectively. He is a reviewer of many SCI journals, such as International Journal of Production Research, Computational and Mathematical Organization Theory, and Journal of Systems Engineering and Electronics.
Speech Title: Agent-based Modeling and Simulation for Networked Equipment Support
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