Prof. Weidong Zhu
Department of Mechanical Engineering, University of Maryland, USA
Bio: Weidong Zhu received the dual B.S. degree in mechanical engineering and computational science from Shanghai Jiao Tong University, Shanghai, China, in 1986, the M.S. degree in mechanical engineering from Arizona State University, Tempe, AZ, USA, in 1988, and the Ph.D. degree in mechanical engineering from the University of California, Berkeley, CA, USA, in 1994.,From 1994 to 1997, he was an Assistant Professor with the Chinese University of Hong Kong, Hong Kong. From 1997 to 1999, he was an Assistant Professor with the University of North Dakota, Grand Forks, ND, USA. Since 2007, he has been a Professor with the Department of Mechanical Engineering, University of Maryland Baltimore County, Baltimore, MD, USA. His research interests include the fields of dynamics, vibration, control, applied mechanics, structural health monitoring, metamaterials, and wind energy, and involve analytical development, numerical simulation, experimental validation, and industrial application.,Dr. Zhu is a Fellow of the American Society of Mechanical Engineers. He has served as an Associate Editor for the ASME Journal of Vibration and Acoustics and the ASME Journal of Dynamic Systems, Measurement and Control and a Subject Editor for the Journal of Sound and Vibration and Nonlinear Dynamics.
Speech Title: Continuously Scanning Laser Doppler Vibrometry for Vibration Measurement: Principles, Recent Developments, and Applications
Abstract: A laser Doppler vibrometer can measure the surface velocity of a point on a structure. A continuously scanning laser Doppler vibrometer (CSLDV) was developed to significantly improve efficiency and spatial resolution of vibration measurement of the structure. As a non-contact system, it can avoid the mass-loading problem in vibration measurement using accelerometers. ...more...

Prof. Hongfa (Henry) Hu
Department of Mechanical, Automotive & Materials Engineering, University of Windsor, Canada
Bio: Dr. Hongfa (Henry) Hu is a tenured full Professor at Department of Mechanical, Automotive & Materials Engineering, University of Windsor. He was a senior research engineer at Ryobi Die Casting (USA), and a Chief Metallurgist at Meridian Technologies, and a Research Scientist at Institute of Magnesium Technology....more...
Speech Title: Lightweighting Electric Applications with Al-Fe Alloy
Abstract: Due to environmental concerns and government regulations, battery-powered electric vehicles (BEVs) are picking up steam on the market. To keep growing their market, it is essential for the automotive industry to develop inexpensive, lightweight, high-efficient and long range BEVs....more...

Prof. Nader Asnafi
Professor of Luleå University of Technology, Sweden; The Global Chief Technology and Business Officer, Zhejiang Chuangge Technology Co. Ltd.
Research Interests: Electromechanical motor vehicle R&D, engineering and manufacturing
Speech Title: Manufacturing Flexibility and Lower Costs through Selective Laser-Tailored Part Properties
Abstract: This investigation is focused on the stamping behavior of boron steel, the properties of which are modified by selective laser heat treatment. Both CO2 and fiber lasers are tested. Using different laser processing parameters, the hardening depth in the 1 mm thick boron steel sheet Boloc 02 is varied. Four routes are tested and verified. The forming operation (in which a so-called flexrail beam is produced) in all four routes is conducted at ambient (room) temperature. The Reference route comprises stamping of the sheet. The GridBlank route starts with selective laser heat treatment of the blank, after which the blank is allowed to cool down, moved to a hydraulic press, and stamped. In the GridTube route, the blank is first stamped, after which the part is moved to a laser cell and selectively laser heat treated. The fourth route, the RapidLaser route, is similar to the GridBlank route, but a higher laser speed is used to promote higher total productivity. The GridBlank route results in the highest hardness values and the best shape accuracy. The initial sheet material exhibits a hardness of 200 HV, while the parts produced in the GridBlank route exhibit a hardness of 700 HV. The ultimate purpose of this study is to achieve high manufacturing flexibility and lower costs, particularly for small-series production.

Assoc. Prof. Tangbin Xia
Vice Dean of the School of Mechanical Engineering, Shanghai Jiao Tong University, China. Young Chang Jiang Scholar of the Ministry of Education. Deputy Secretary General of The Shanghai Society for Modern Design Theory and Methodology Research. The Review Expert for the Government Quality Award of Shanghai Municipality.
Speech Title: Real-time Prognostic and Health Management for Manufacturing Systems: From A Functional Data Analysis Perspective
Abstract: In the realm of prognostics, the efficacy of models is often contingent upon the availability of complete historical degradation signals. However, real-world data is characterized by inconsistencies in distribution and incompleteness, posing challenges to the development of accurate degradation models. To address this issue, we propose an adaptable functional lifetime regression model with real-time prognostic capabilities. By adopting a functional perspective, we first identify viable degradation curves and informative features. Subsequently, we establish relationships between these features and lifetime labels using an innovative regression model with adjustable functional basis. Through the integration of real-time signals, our approach enables the refinement and updating of time-to-failure (TTF) predictions. Our experimental findings underscore the robustness, precision, and practical applicability of the proposed methodology in prognostics for multi-level manufacturing systems.

Prof. Juin J. Liou
Chair Professor and Director, School of Electrical and Information Engineering, North Minzu University, China
Chang Jiang Scholar Endowed Professor, Fellow of IEEE, Fellow of IET, Fellow of AAIA
Speech Title: Microelectronics: Current Status, Outlook, and Reliability Issues
Abstract: The industry of microelectronics is highly vital to the global economy. While the research and development of microelectronics has been very active and fruitful in the past 40 years, many new technologies have emerged recently which makes the microelectronics field evolving, challenging, and unpredictable in the foreseeable future. Aside from the various semiconductor processes and technologies, reliability is also a critical measure to the quality of microelectronic devices/circuits/systems, as no products can prevail in the markets without a high level of reliability.
An overview on the background, current status, and outlook of microelectronics will first be introduced in this talk. This is followed by the discussions of reliability issues for the current and emerging technologies.

Prof. Md. Mahbub Alam
Center for Turbulence Control, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
Bio: Alam Md. Mahbub is a professor at Harbin Institute of Technology (China) since 2012. He worked as a senior lecturer at the University of Pretoria (South Africa), research and postdoctoral fellows at the Hong Kong Polytechnic University, and lecturer at the Rajshahi University of Engineering and Technology (Bangladesh). More than 400 technical articles are authored and co-authored, including 200+ SCI journal papers. Most of the papers have been published in top-notched journals, including Journal of Fluid Mechanics, ...more...

Speech Title: Key features of fish swimming？
Abstract: How does a fish swim?’ is essentially a fascinating question. For hundreds of millions of years, adaptation and evolution have enabled fish to achieve excellent propulsion performance with their fast speed and high efficiency. During this long history of evolution, swimming animals have mastered an exquisite capacity to control their bodies and the flow around themselves to efficiently cruise in water. The distinctive swimming abilities of fish have inspired scientists and engineers to analyze locomotive mechanisms and to design fish-like robots....more...

Distinguished Prof. Dr.-Ing. Paolo Mercorelli
Institute for Production Technology and Systems (IPTS), Leuphana University of Lueneburg, Germany
Head of Unit, Control and Drive Systems, Editor-in-Chief, WSEAS Transactions on Computer Research, Section Editor in Chief of "Engineering Mathematics"in "Mathematics" a Journal from MDPI publishers, Basel, Switzerland
Bio: Paolo Mercorelli (Member, IEEE) received a PhD degree in systems engineering from the University of Bologna, Bologna, Italy, in 1998. In 1997, he was Visiting Researcher for one year with the Department of Mechanical and Environmental Engineering, University of California, Santa Barbara, CA, USA. From 1998 to 2001 he was Postdoctoral Researcher with Asea Brown Boveri Corporate Research, Heidelberg, Germany, and this research activity has brought him 3 patents. ...more...
Speech Title: Sliding Mode Control Strategies for Maglev Systems based on Kalman Filtering
Abstract: The aim of the talk is to show the control of a magnetic levitation (Maglev) system using a Backstepping-based variant in different sliding mode control (SMC) strategies. The Maglev system considered in this paper has no sensor for measuring the velocity, which is necessary for the application of SMC. For that reason, a Kalman filter is derived to optimally estimate this state variable. The proposed controllers are evaluated and compared based on extensive simulation studies, with and without additive disturbances, in order to compare their robustness.

Prof. Xiaogang Liu
Professor and Doctoral Supervisor of Mechanical Engineering and Instrument Science and Technology at the School of Mechanical and Electrical Engineering, Wuhan University of Technology, China. Fellow of Higher Education Academy (FHEA), Senior Member of the Chinese Mechanical Engineering Society, Expert of the high-tech industry in Wuhan
Speech Title: Torque Control of Interior Permanent Magnet Synchronous Motor for Electric Vehicles
Abstract: Interior permanent magnet synchronous motors are used in electric vehicles due to their high efficiency and power density. The accurate control of motor torque, however, is still subject to further investigation and improvement. In order to enhance the performance of Interior Permanent Magnet Synchronous Motors used in electric vehicles, this research develops a feedback torque control method based on online parameter identification. This method aims to accurately control the instantaneous electromagnetic torque. Furthermore, a model is developed based on this torque control method. On the other hand, a test rig has been developed to verify the feasibility of the torque control method and the effectiveness of the model. The torque control method is verified with this test rig, and the results show that the measured torque can accurately follow the torque command rapidly with little fluctuation. This indicates that the method developed in this research possesses features of high accuracy, high robustness, and short response time.

Assoc. Prof. Chuxiong Hu

Institute of Mechatronic Engineering, Department of Mechanical Engineering, Tsinghua University, China

Research Interests: Mechatronics, Precision Motion Control, Multi-Axes Coordinated Contouring Control, Control Theory and Applications, Intelligent Learning and Prediction, Adaptive Control, Iterative Learning Control, Neural Networks, Robot, Nonlinear Systems, Precision Metrology/Measurement Calibration

Prof. Gui Yun Tian
University of Electronic Science and Technology of China
Bio: Prof. Gui Yun Tian is a professor at the University of Electronic Science and Technology of China (UESTC) and professor at Newcastle University adjunctly. He serves as the director of the UESTC-Newcastle University International collaborative base and is also the Editor-in-Chief of Nondestructive Testing and Evaluation. His research interests include electromagnetic sensors, sensor arrays, sensor networks, electromagnetic non-destructive evaluation, advanced signal processing, and structural health monitoring systems and applications. He has published more than 400 papers and books/chapters, with an H-index of 77. Representative works include frequency-output sensors (inductance-to-digital converter LDC), pulsed eddy current, ECPT (Eddy Current Pulsed Thermography), RFID (radiofrequency identification) sensors & monitoring, programmable magnetic Barkhausen noise, and their applications in areas such as pipelines, railways, etc.
Speech Title: Nondestructive Testing and Structural Health Monitoring for Condition-based Operation & Maintenance
Abstract: Advanced Nondestructive Testing (NDT) and structural health monitoring (SHM) are introduced. Several electromagnetic, multi-physics sensing, and imaging systems with case studies and applications are presented and discussed. Feasibility studies on nondestructive testing and evaluation for quantitative characterization of erosion in collaboration with China Three Gorges Corporation are reported. Challenges and opportunities in NDT and SHM for condition-based operation & maintenance and asset management are explored. Further perspectives and different applications using advanced NDT & SHM are highlighted.

Prof. Hongtao Tang
Professor of School of Mechanical and Electrical Engineering, Wuhan University of Technology, China. Approved for Hubei High-level Talent Plan, Deputy Director of Hubei Engineering Center for Robotics and Intelligent Manufacturing. Member of the Industrial Big Data Branch of the Chinese Society of Mechanical Engineering. Member of the Scheduling Committee of the Chinese Simulation Society
Bio: Professor Tang Hongtao was awarded the Hubei Provincial High-level Talent Plan, deputy director of the Hubei Provincial Engineering Center for Robotics and Intelligent Manufacturing, a member of the Industrial Big Data Branch of the Chinese Mechanical Engineering Society, and a member of the Scheduling Committee of the Chinese Simulation Society. Won 1 second prize of China Machinery Industry Science and Technology Progress Award (ranking 1/10), 1 second prize of Hubei Province Science and Technology Progress Award (ranking 2/10), 1 second prize of China Machinery Industry Science and Technology Progress Award (ranking 2/10)....more...
Speech Title: Research and application of industrial software for digital design and manufacturing of high-performance hydraulic cylinders
Abstract: High-performance hydraulic cylinders are the core power components of the manufacturing industry. They play a huge role in my country's major national strategies such as satellites, rockets, and high-speed rail, and in the main economic battlefields such as steel, cement, and construction machinery. However, about 70% of them rely on imports, which is typical. "Stuck neck" technology. To this end, digital design and manufacturing technology is used to solve the following problems: (1) Hydraulic cylinders are highly personalized, and process design relies heavily on manual experience and historical data; (2) Non-standard high-performance hydraulic cylinders have complex processes, diverse standards, and production scheduling Difficult; (3) The delivery cycle of high-performance hydraulic cylinders is long and the whole process control is difficult.

Prof. Muhammad Ramzan
Head Fluid Mechanics Group, Department of Computer Science, Bahria University
Bio: Dr. Muhammad Ramzan is working as a Professor at Bahria University, Islamabad, Pakistan. He has an experience of 27 years of teaching and research. He obtained his Ph.D. (Applied Mathematics) from Quaid-i-Azam University, Islamabad, in 2010. He is the pioneer to start MS/Ph.D. Mathematics) programs at Bahria University, Islamabad Campus. He has published 200 plus ISI Indexed papers in internationally reputed Journals. He was a visiting Professor at Jiangsu University, China, and Sejong University,...more...
Speech Title: Surface catalyzed reactions in the carbides and oxides-based-tetra hybrid nanofluid flow in the absorbent channel with quadratic thermal radiative heat flux
Abstract: This investigation aims to elucidate the catalytic mechanism occurring in the flow of a tetra-hybrid nanofluid through an absorbent channel. The heat transfer phenomenon is investigated employing quadratic thermal radiative heat flux. Nonetheless, the mass transformation analysis is performed while considering the surface-catalyzed reactions in the presence of homogeneous-heterogeneous reactions. ...more...

Assoc. Prof. Dong Wang
Associate Professor of the School of Mechanical Engineering at Shanghai Jiao Tong University, China. National Distinguished Young Expert, Deputy Secretary General of the Chinese Society of Vibration Engineering, Editorial Board Member of Mechanical Systems and Signal Processing, and Associate Editor in Chief of IEEE Transactions on Instrumentation and Measurement.
Bio: Dong Wang received his Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2015. He was a Senior Research Assistant, a Postdoctoral Fellow, and a Research Fellow with the City University of Hong Kong.
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Speech Title: Difference mode decomposition for adaptive signal decomposition
Abstract: Adaptive extraction of concerned components (CC) from mixed frequency components remains to be a challenging topic in various research domains. Most existing adaptive mode decomposition algorithms for extracting CC, such as wavelet transform, wavelet packet transform, singular value decomposition, empirical mode decomposition, empirical wavelet transform, and variational mode decomposition, are intrinsically adaptive band-pass filter banks and they face the following two tough problems. The first problem is that they cannot separate CC from interferential components in same frequency bands. ...more...

Assoc. Prof. Weiwei Cui
Associate Professor, Deputy Head of Department of Management Science and Engineering, School of Management, Shanghai University, China. Approved by Shanghai Pujiang Talent Plan.
Research Interests: Production operation management, operations research and optimization, sustainable production and green supply chain
Speech Title: Effects and Challenges of Additive Manufacturing on the Supply Chain
Abstract: Additive Manufacturing, known for its cost efficiency, manufacturing accuracy, part complexity, and design flexibility, is a pivotal driver in major industries like automotive, aerospace, and biomedical. The unique capabilities of AM have also spurred innovations in supply chain structures, particularly through on-demand and make-to-order production schemes. We focus on exploring the benefits of novel supply chain structures enabled by AM. This includes studies on mobile supply chain structures incorporating AM technology, which have shown potential in reducing inventory costs and improving overall efficiency. However, the integration of AM technology into supply chains presents new challenges, especially simultaneous optimization of delivery and production sequences to minimize operational costs while meeting customer requirements. To address this complex problem, it is necessary to analyze the problem structure, develop mathematical models, and design optimization algorithms tailored to different scenarios, enabling efficient decision-making in dynamic environments. This presentation primarily highlights several research findings from our team, published in journals such as AM, IJPE, CIE, among others, and delves into prospective research avenues within this domain.

Assoc. Prof. Lei Wang
Associate Professor of School of Mechanical and Electrical Engineering, Deputy Director of Department of Intelligent Manufacturing, Wuhan University of Technology, China.
Research Interests: Service Oriented Intelligent Manufacturing, Digital Twin Basic Theory, Enterprise Digital Information Management Service Platform, etc.
Speech Title: Research on Reliable and Trustworthy Collaborative Management and Optimization of Manufacturing Services for Hybrid Industrial Cloud Platforms
Abstract: With the gradual promotion of Industrial Internet Platforms that enable multi-layer cross-domain linkage across various industries, it has become an inevitable trend for enterprises to realize value co-creation through dynamic sharing of manufacturing resources and capabilities in manufacturing service collaboration. However, in the hybrid industrial environment, manufacturing collaboration often faces issues of “complexity, reliability, and security”, leading to enterprises exhibiting a “reluctance to participate in collaboration, uncertainty about who to collaborate with, and lack of active collaboration”. In response to this challenge, this report sequentially explores the composition, evolution, and failure process of manufacturing service collaboration, proposes measures to address the complexity, reliability, and security of manufacturing service collaboration, and establishes a Hybrid Industrial Cloud Platform for the validation in the standard gas manufacturing industry, providing theoretical basis for the application and promotion of Industrial Cloud Platforms.

Assoc. Prof. Lei Xiao
Associate Researcher, College of Mechanical Engineering, Donghua University, China. Approved by Shanghai Youth Science and Technology Raising Star Program
Research Interests: intelligent Condition Monitoring, Maintenance Planning, Fault Diagnostics and Prognostics, Reliability Engineering
Speech Title: Intelligent Fault Diagnosis for Rolling Bearings Considering Unequal Domain Adaption
Abstract: With the increasing complexity and precision of rotating machinery, it is crucial to ensure its normal operation. As a key part of rotating machinery, the rolling bearing has a great impact on the health of the whole rotating machinery. Due to the development of deep learning and sensor technology, remarkable progress has been made in the research on intelligent fault diagnosis for rolling bearings. However, most studies assumed that training data and test data follow the same distribution with the same label space. But these assumptions are hard to meet in engineering. The fault diagnosis under unequal domain scenario with multisource-multitarget domains is considered in this study. Here, the unequal domain refers that the sample label spaces in source domains and target domains are different. Specifically, the unequal domain includes partial domain and open-set. To address the unequal domain issues, two different methods are proposed in this study. The effectiveness of the proposed methods is validated on two bearing datasets, and the results show the outperformance.