2022 6th International Conference on Mechanics, Mathematics and Applied Physics (ICMMAP 2022)



Prof. Jianzhong Lin, Ningbo University / Zhejiang University, China

His works were funded by more than 40 research projects, including National Natural Science Fund for Distinguished Young Scientists, Key Project of the National Science Foundation of China. So far he has published more than 700 academic papers and won more than ten science and technology awards. He is now the member of council of the Chinese society of mechanics.

Research Areas: Multiphase Flow, Microfluidics, Turbulent flow, Fluid Machinery

Personal Website: Click 

Speech Title: Hydrodynamic behavior of two-phase flow with self-driven particles

Abstract: In this paper, the Lattice Boltzmann-immersed boundary method is used to simulate the hydrodynamic behavior of two-phase flow with self-driven particles. It is found that the velocity distribution induced by the self-propelled particle deviates from Maxwell distribution, and its velocity strongly depends on the location of singularities. For the hydrodynamic interaction between a self-rotation rotator and passive particles in a two dimensional confined cavity, the passive particle gradually departs from the rotator although its relative displacement to the rotator exhibits a periodic oscillation. The relative distance between the two particles and the rotator’s rotational frequency are responsible for the oscillation amplitude and frequency. For the system of three particles, the passive particle’s velocities exhibit a superposition of a large amplitude oscillation and a small amplitude oscillation at the lower Re, and the large amplitude oscillation will disappear at the higher Re. For the Squirmer swimming in power-law fluid, it is found that the swimming speed and efficiency of Squirmer with different swimming modes are affected by Re and power-law index in varying extent. For the hydrodynamic properties of Squirmer swimming in power-law fluid near a wall, four new swimming behaviors are found for the first time, and the causes of these swimming behaviors are analyzed. It is found that only increasing Re can change the swimming behavior of the Squirmer. The reason is that the increase of Re weakens the attraction of the wall. For the hydrodynamic interaction between a pair of Squirmers in power-law fluid, it is found that the collision process of a pair of Pullers is significantly different from that of a pair of Pushers. Parallel swimming Pushers attract each other while the Pullers first repel each other and finally turn into a "head-to-head" contact state. A pair of pushers moving in opposite directions is very easy to "lock" in a certain position, while a pair of Pullers always departs from each other after collision. With the increase of power index, the degree of difficulty of Squirmer's rotation increases synchronously in the process of interaction.


Prof. Daoxin Yao, Sun Yat-sen University, China

Daoxin Yao is a professor and doctoral supervisor at the School of Physics, Sun Yat-sen University. He received his B.S. degree in physics from Zhejiang University in 1994, his M.S. degree in theoretical physics from Zhejiang University in 1998, and his Ph.D. degree in physics from Boston University in 2007. After that, he did postdoctoral research at Purdue University, the University of Tennessee, and Oak Ridge National Laboratory. In 2009, he returned to China to work as a professor of School of Physics, Sun Yat-sen University, and a regular researcher of State Key Laboratory of Optoelectronic Materials and Technology and Neutron Science and Technology Center. His research interests include related electronic systems, including superconductors, quantum magnetism, topological physics, computational physics, etc. He has published more than 110 academic papers in famous international Physics journals, including Nature Physics, Nature Communications, Physical Review Letters, and 1 chapter monograph by Science Press. He is or has served as the deputy secretary general of Guangdong Physics Society, deputy director of guangdong Undergraduate Physics Teaching Steering Committee, deputy dean of School of Physics and head of theoretical Physics discipline of Sun Yat-sen University, and won the guangdong Special Support Plan leading talent.

Research Areas: Related Electronic Systems, High Temperature Superconductivity, Quantum Magnetism, Quantum Monte Carlo, Topological Matter, Two-dimensional Electronic Systems, Photoelectric Properties, etc.

Personal WebsiteClick 


Prof. Zhen Wang, Dalian University of Technology, China

Dr. Zhen Wang is a professor and doctoral supervisor of Dalian University of Technology. He is one of the top young talents of "Xingliao Talents" in Liaoning Province, xinghai Outstanding Young Scholar of Dalian University of Technology, and young Science and Technology star of Dalian city. His research interests include nonlinear water wave dynamics and statistical simulation of Marine environment.The dynamic behavior and integrability of nonlinear water waves are studied.He has presided over 3 projects of national Natural Science Foundation of China, 1 sub-project of National Key Basic Research Program, high-tech Ship special sub-project of Ministry of Industry and Information Technology, doctoral Fund of Ministry of Education and more than 10 other projects.He has published 1 monograph in Both Chinese and English, 1 textbook and 36 SCI papers.His research achievements have won one second prize of Science and Technology Award of Liaoning Province (the first accomplisher), one first prize of Natural Science Award of Ministry of Education, two second prizes of Natural Science Award of Ministry of Education, one second prize of Ocean Engineering Science and Technology Award, one third prize of Education and teaching Achievement of Liaoning Province, and one excellent Instructor of Dalian University of Technology.

Research Areas: Nonlinear water wave dynamics, statistical simulation of Marine environment

Personal Website: Click 


Prof. Weiwei Zhang, Dongguan University of Technology, China

He graduated from Jinan University with with a Ph.D. The Thesis was entitled Studies on Crack Identification Methodology for Structure Based on Mode Analysis and Stress Wave. After graduating, he went to work at Taiyuan University of Science and Technology. In July 2021, He transferred to Dongguan University of Technology. He presided over 2 research projects of NSFC: 1) Dynamic response and damage identification method of nonlinear stress wave due to Microscopic defects under moving loads (2012.1-2014.12); Studies on bifurcation theory of nonlinear stress wave due to microscopic defects and its application (2019.1-2022.12), and 2 Natural Science Foundations of Shanxi Province: 1) Research on the propagation of guided Waves in welded Pipes and duffing oscillator identification Method (2012.1-2013.12); Nonlinear mixing characteristics and Application of stress waves induced by defects in rail (2018.12-2020.12). In past, He published 1 monograph entailed Pipe Ultrasonic Guided Wave and Chaos System Inspection Technology, more than 50 academic papers, ant 5 authorized invention patents.

Research Areas: Damage Detection, Structural Health Monitoring, Mechanical History

Personal Website: Click 

Speech Title: Studies on Chaos system inspection of weak ultrasonic guided wave

Abstract: Ultrasonic guided wave (UGW)-based damage detection technology is a method of exciting ultrasonic  along the length of the pipeline, and the UGW are reflected when they encounters defects such as cracks, welds, and corrosion. Pipeline defect can be identified by analyzing the amplitude and time of the defect echo. In recent years, as the service environment of pipeline becomes more and more complex, for the small defects in the early stage of pipeline damage, the defect echo is usually weak signal under strong noise. In order to improve the detection efficiency of small defects in the pipeline, a weak guided wave identification method based on the parameter sensitivity of the Duffing chaotic system is proposed. The parameters of Duffing system are determined as the following: the driving force frequency is determined according to the frequency of the signal-to-be-detected; 2) the damping is an arbitrary constant; 3) the amplitude of the driving force is changed, and the bifurcation diagram of the Duffing system with it was calculated. 4) The critical value of the Duffing detection system was determined at the critical point of system transition from periodic state to chaotic state. After determination of Duffing inspection system, the signal-to-be-detected is added on the driving force, and the weak ultrasonic guided wave signal could be detected by using the chaotic phase transition features. Finally, two chaotic systems are proposed to identify the amplitude identification and arriving time of the defect echo, and the size and location of pipeline defects are identified based on them.

Anum Shafiq副教授.png

A. Prof. Anum Shafiq, Nanjing University of Information Science and Technology

Dr. Anum Shafiq did her Master’s and PhD from Quad-I-Azam University Islamabad Pakistan during 2012-2016. During her Master’s studies she explored the significance of “Axisymmetric flow of third great fluid between two disks’’. The results of the Master work were compiled into two manuscripts and published in Applied Mathematics and Mechanics, and Computers and Fluids. During PhD, Dr. Anum’s research covered Steady flows of viscoelastic fluids due to moving surfaces with heat transfer, which produced 25 first and co-authored publications, while collaborating with Master’s students as part of the PhD dissertation work. Dr. Anum also attended North-West University as a postdoctoral research fellow and published several ISI and SCI papers. She has supervised 24 undergraduate students, 9 Masters, and 1 PhD as co-supervisor. She is acting as an Assistant professor at Preston University Islamabad and many others. Since July 2019, Dr. Anum is serving as Associate professor at School of Mathematics and Statistics, Nanjing University of Information Science and Technology. Her research interests include Fluid Flow with Nanoparticles; Computational Fluid Dynamics (CFD); Mechanical engineering; Mathematical and computational methods in statistics; Applied Mathematics; Fluid processing and heat transfer systems; Groundwater modeling; Heat and Mass Transfer; Non-Newtonian fluids; Nonlinear analysis; Series Solutions of Nonlinear Problems; Boundary value problems; Differential system of equations; Mathematical modeling; Homotopy analysis method and its applications; Response Surface Methodology; Solutions of Nonlinear Differential equations; Artificial Neural Network; Sensitivity Analysis; Statistics; Distribution Theory; Bayesian Inference.

Personal Website: Click 

Research Areas: Fluid Flow with Nanoparticles, Computational Fluid Dynamics (CFD), Mechanical engineering,Mathematical and computational methods in statistics, Applied Mathematics, Fluid processing and heat transfer systems, Groundwater modeling, Heat and Mass Transfer, Non-Newtonian fluids, Nonlinear analysis, Series Solutions of Nonlinear Problems, Boundary value problems, Differential system of equations, Mathematical modeling, Homotopy analysis method and its applications, Response Surface Methodology, Solutions of Nonlinear Differential equations, Artificial Neural Network, Sensitivity Analysis, Statistics, Distribution Theory, Bayesian Inference

Speech Title: Modeling of Soret and Dufour's convective heat transfer in nanofluid flow through a moving needle with artificial neural network

Abstract: In this study, forced convective heat and mass transfer of a nanofluid using the Buongiorno model and moving radially through a thin needle has been analyzed using the Runge - Kutta fourth order technique and the shooting approach. In order to analyze the thermo-diffusion and diffusion-thermo effects on the flow, Dufour and Soret effects have been investigated and the mass transport phenomenon has also been investigated by activation energy. Partial differential systems of the flow model have been obtained with the boundary layer approach and modified by using the appropriate transformations to be connected to nonlinear ordinary differential systems. Using the RK-4 strategy with a shooting strategy, a data set has been created for different flow scenarios, and using this data set, an artificial neural network model has been developed to predict skin friction coefficient, Sherwood number and Nusselt number values. 70% of the data used in ANN models developed with different numbers of datasets have been used for training, 15% for validation and 15% for testing. The results show that ANN models can predict skin friction coefficient, Sherwood number and Nusselt number values with error rates of -0.33%, 0.08% and 0.03% respectively.


A. Prof. Fengming Du, Dalian Maritime University, China

He has won the honor titles of "Ten Thousand Talents Project in Liaoning Province", "Star of Dalian Youth Science and Technology", "Dalian High-level Talents", and one Academic Achievement Award of Natural Science in Liaoning Province. I presided over 1 key project of State Administration of Science, Technology and Industry for National Defense, 1 key project of Liaoning Provincial Natural Science Foundation, 1 Joint shipping fund of Liaoning Province, 1 China Postdoctoral fund, 1 project of Dalian high-level talent innovation support plan, 2 special funds for basic scientific research of Central Universities and 1 enterprise cooperation project. I participated in more than 10 National Natural Science Foundation of China, Pre research projects of the Ministry of equipment development, projects of the State Administration of science, technology and industry for national defense, high-tech ship projects of the Ministry of industry and information technology and horizontal topics. More than 50 academic papers have been published, more than 40 have been indexd by SCI, and one invention patent has been authorized. I am the reviewers of the <Journal of Materials Processing Technology>, <International Journal of advanced manufacturing technology>, <steel research international>, <International Journal of engine research> and other journals.

In the update!


Keynote Speakers of Past Sessions


Prof. Boming Yu

Huazhong University of Science and Technology


Prof. Guoping Zhao

Sichuan Normal University


Prof. Kuahai Yu

Henan University of Science and Technology


Prof. Weiwei Zhang

Dongguan University of Technology


Prof. C W LIM

City University of Hong Kong


Prof. Zhi Zong

Dalian University of Technology


Prof. Zhen Wang

Dalian University of Technology


Prof. Min Dai

National University of Singapore, Singapore


Prof. Zahriladha Zakaria

Universiti Teknikal Malaysia, Malaysia


Prof. Weizhu Bao

National University of Singapore, Singapore

Prof. Shahrom Mahmud.jpg

Prof. Shahrom Mahmud

Universiti Sains, Malaysia

A.Prof. Siti Norasmah Surip.jpg

A.Prof. Siti Norasmah Surip

Universiti Teknologi MARA, Malaysia