Satellite Conference on Scientific Computing, Simulation and Quantitative Instrumentation (SCSQI2021)


Scientific Computing, Simulation and  Quantitative Instrumentation Conference aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Scientific Computing, Modeling & Simulation and Quantitative Instrumentation Conference. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Scientific Computing, Modeling & Simulation and Quantitative Instrumentation Conference.

Scientific Computing

Computational science, also known as scientific computing or scientific computation (SC), is a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It is an area of science which spans many disciplines, but at its core it involves the development of models and simulations to understand natural systems.

  • Algorithms (numerical and non-numerical): mathematical models, computational models, and computer simulations developed to solve science (e.g., biological, physical, and social) engineering, and humanities problems
  • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components needed to solve computationally demanding problems
  • The computing infrastructure that supports both the science and engineering problem solving and the developmental computer and information science

Modeling and simulation 
Modeling and simulation is the use of models (e.g., physical, mathematical, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making.
The use of such mathematical models and simulations avoids actual experimentation, which can be costly and time-consuming. Instead, mathematical knowledge and computational power is used to solve real-world problems cheaply and in a time efficient manner. As such, M&S can facilitate understanding a system's behavior without actually testing the system in the real world. For example, to determine which type of spoiler would improve traction the most while designing a race car, a computer simulation of the car could be used to estimate the effect of different spoiler shapes on the coefficient of friction in a turn. Useful insights about different decisions in the design could be gleaned without actually building the car. In addition, simulation can support experimentation that occurs totally in software, or in human-in-the-loop environments where simulation represents systems or generates data needed to meet experiment objectives. Furthermore, simulation can be used to train persons using a virtual environment that would otherwise be difficult or expensive to produce.

Quantitative Instrumentation
It refers to an approach that examines, describes, or interprets a program. Qualitative methods make it possible to study a program or issue in more depth and detail than quantitative methods. This methodology is designed to find out what people do, plan to do, think, and feel. There are three primary methods to collect qualitative data: 1) individual or group interviews; 2) direct observations; and 3) examination of written documents such as open-ended items on questionnaires, personal journals/diaries, autobiographies, and program records. They are included but not limited to the following measurements:
Tests; Surveys; Questionnaires; Behavior Checklist; Skill Checklist;  Product Assessment Log;
Existing Data/Records


All submissions must represent original and unpublished work that is not currently under review. Each paper will be reviewed by at least three (3) PC members. Manuscripts are assessed based on originality, significance, interest, correctness, clarity, and relevance to the broader community. At least one author of each accepted paper is expected to register for the conference. Full papers are expected to report new scientific results, sharing experiences, measurements, use case studies, and appropriate quantitative evaluation if at all possible.

Authors are free to use any template at the point of submission. We accept both Microsoft Word®️ and/or LaTeX®️ format.


Topics of interest include but not limited to:

• Numerical algorithms
• Applications of computational science
• Complex systems: modeling and simulation
• Artificial Intelligence in modelling and simulation
• Computational mathematics
• Computational methods, algorithms and scientific application
• Fuzzy control and intelligent systems
• Fuzzy logic and fuzzy set theory
• Fuzzy optimization and design
• Parallel and distributed computing
• Neural Network Theory and Architectures
• Fractional Calculus


The SCSQI2021 offers you the possibility to publish your research work in form of journal publication with indexing and abstracting in Scopus®️ and/or JCR indexed journals. The full list of journals can be viewed at:

Please regularly visit this website to view our updated list.

Plenary Speaker


State Key Laboratory for Geomechanics and Deep Underground Engineering
China University of Mining and Technology, China

Dr. Xiao-Jun Yang is a full professor of Applied Mathematics and Mechanics, at State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, China. His scientific interests include: Viscoelasticity, Nonlinear Dynamics, Mathematical Physics, Analytical, Approximate, Numerical and Exact Solutions for ODEs and PDEs, Integral Transforms and Their Applications, Continuous Mechanics, Rock Mechanics, Fluid Mechanics, Heat Transfer, and Traffic Flow, Wavelets, Signal Processing, Biomathematics, General Calculus and Applications, Fractional Calculus and Applications, Local Fractional Calculus and Applications, General Fractional Calculus and Applications, Variable Order Fractional Calculus and Applications, Variable Order Fractional Calculus with Respect to Another Function and Applications, Special Functions, and Riemann Conjecture. He has published over 160 journal articles and 5 books, as well as monographs and edited volumes, and 10 chapters. He was awarded the 2019 Obada-Prize, the Young Scientist Award(Turkey), and the Springer's Distinguished Researcher Award (India).  He is currently an editor of several scientific journals, such as Fractals-Complex Geometry, Patterns, and Scaling in Nature and Society, Applied Numerical Mathematics, Mathematical Methods in the Applied Sciences, Mathematical Modelling and Analysis, International Journal of Numerical Methods for Heat & Fluid Flow,Thermal Science,n  Journal of Thermal Stresses, Journal of King Saud University-Science, and an associate editor of  Journal of Thermal Analysis and Calorimetry, Alexandria Engineering Journal, and IEEE Access. He is also as the referee of the articles and books from Springer Nature, Elsevier, World Scientific and CRC publishers.

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