International Conference on

Algorithm Design, Analysis and Optimization of Program Languages

Program Languages 2020

Theme: Techniques for learning the new technologies in the field of program language

Algorithm Design, Analysis & Optimzation of Program Languages is going to be conducted during March 18-19, 2020 at Las Vegas City, USA. Program language 2020 will focus on the theme “Techniques for learning the new technologies in the field of program language”. Program Language aims to provide a forum for exploring and evaluating ideas on all aspects of programming languages and programming systems. Modern programming languages are interesting targets for formal techniques due to their ubiquity and wide user base, stable and well-defined interfaces and platforms, and powerful libraries. Nowadays new languages and applications are continually arising, resulting in new programming languages research challenges. Work on formal techniques and tools and on the formal underpinnings of programming languages themselves naturally complement each other. Meetings International is a global leader in producing high quality conferences, meetings, workshops and symposiums in all major fields of science, technology and medicine.

Why to Attend?

The goal of Program Language 2020 is to be a premier venue for researchers and industry practitioners to share new ideas, research results and development experiences in various fields. It is one of the best respected conferences in the area of computer science.

It is the place where directors, professors, professionals, CEOs, presidents, vice-presidents, business delegates, market leaders from different industries and companies, students and researchers from all areas of computer science, computer engineering, computer application, electrical and mathematical researcher can join together.

Why in USA?

The City Las Vegas changes every time, especially on and around the strip. Las Vegas is an internationally known as the major resort city, primarily for its wagers, shopping, fine dining, entertainment, and nightlife. The leading financial, commercial, and cultural as a whole serves by the Las Vegas Valley. Las Vegas is situated within Clark County in a basin, which is on the floor of the desert known as Mojave, which is surrounded by mountain ranges from all sides. The most visited tourist attractions in Las Vegas are the casinos, for a great aerial view over Las Vegas or even the Grand Canyon they have a number of companies providing helicopter tours that take visitors over Las Vegas, Mirage Hotel for Erupting Volcano and Secret Garden, High Roller Ferris Wheel etc.

Sessions 1: Algorithm and Data Structure

In this structure all the data are organized in such an order that all items may not be required to be searched. There are two term of data structure :-( a) Interface (b) Implementation.

An algorithm can be implemented in more than one programming language. Important categories of algorithm are: - (a) Insertion (b) Deletion (c) Update (d) Search (e) Sort.

Session 2:Software Technology

It is the tool to support the term covering the methods of development, programming languages that will be used in the development of the collection of data or computer instruction that tell the computer how to work.
It is the clone intelligence of the human mind that is demonstrated by the machines.It is often used to describe as a machine which will perform the functions of the human such as learning and problem solving.
Data Science is the field of multiple studies that uses scientific methods, processs, algorithms and system by combining into a one activity. It extract the knowledge from the unstructure and structure data.

The researchers in computational complexity estimate that resources only which will be needed for a given type or class of task in order to classify different kinds of tasks into various levels of complexity. It is a task solved by a computer with the help of mechanical application in mathematical steps, such as an algorithm. One of the important roles of computational complexity theory is to determine the practical limits on what computers can and cannot do.

Session 5: Cryptography

Cryptography is the science of protecting information by transforming it into a secure format. This process called encryption, has been used for centuries to prevent handwritten messages from being read by unintended recipients. Today, cryptography is used to protect digital data. It is a division of computer science that focuses on transforming data into formats that cannot be recognized by unauthorized users.

Session 6: Graph Theory

A graph is the set of nodes which is connected by lines called arcs or edges.The basic idea of graphs were introduced in 18th century by the great Swiss mathematician Leonhard Euler.In computer science we use graph to represent the communications between networks, data organization, the flow of computation etc. To handle graph the development of algorithm had become the major part in computer science.

Session 7: Programming Language

A programming language is the sequence of instruction along with data, executing the program raw data is processed into a desired format of output. Programming languages are used in computer to implement algorithms. The term programming language generally refers to the high-level languages, such as BASIC, C, C++, COBOL, Java, FORTRAN, and Pascal. Each programming language has a distinctive set of keywords and a unique syntax for organizing program instructions. Programs are created through programming languages to control the behavior and output of a machine through accurate algorithms, similar to the human communication process.

Session 8: Embedded System

It is an operating system within a larger mechanical or electrical system with a devoted function .It is embedded to designed as a resource-efficient and authentic as part of a complete device. It also include hardware and mechanical parts.Modern embedded systems are often based on CPU with integrated memory or peripheral interfaces. It can optimize to reduce the size and cost of the product and increase the reliability and performance. Embedded technology are know a days are available to have the prime and wealth of knowledge.

Session 9: Business Intelligence

It is a technology-driven methodology for Analyzing data and dispenses the unfair information to help executives, managers, and different company end users to produce enlightened businesses selections. Basic operational choices embody product positioning or valuation. Metal is bound with a suitable kind of applications and methodologies that differentiate the corporations to collect information from internal and external sources. To prepare it for analysis we develop and activate queries against the data and build reports, dashboards and knowledge visualizations to make the analytical results on the market to the corporate decision-makers, likewise as operational staff. 

Session 10: Optimization of Program Language

Optimization of program language is a modeling language for combinatoric optimization that aims to make the problem easy and simple to solve. The main optimization problems like:- Linear programming, integer programming, and combinatorial result in a variety of function areas, which includes planning, scheduling, sequencing, resource allocation, design, and configuration. It also provides support for modeling linear, quadratic, and integer programs in the form of computer equivalents, and provides access to ultra-modern algorithms for linear programming, mathematical integer programming, and quadratic programming.

Session 11: Model of Computation

A model reports how units of computations, memories, and communications are organized.Models of computation can be classified in three categories: sequential models, functional models, and concurrent models.There are many models of computation, the following broad categories are: abstract machine and models equivalent to it, used in proofs of computability and upper bounds on computational complexity of algorithms, and decision tree models,  lower bounds on computational complexity of algorithmic problems.

Session 12: Mathematical Aspects of Materials Science

This research area brings together mathematicians, engineers, and scientists interested in the application of mathematical analysis and computation to problems in materials science. Researchers interested in this area are mathematicians, engineers, and scientists interested in the mathematics of materials science from diverse venues, such as academia, industry, and the national laboratories.

Conference on Combinatorial Optimization and Applications 13-15 December 2019 Xiamen, Fujian, China  2019 | Workshop on Algorithms and Computation 31 March - 2 April 2020 Singapore | Symposium on Theoretical Aspects of Computer Science 10-13 March 2020 Montpellier, France | Blockchain & Data Science March 18-19 2020 Las Vegas,USA


Market Analysis:
Nowadays java is the most popular language used by world's biggest companies to build desktop app and backend web system. It is basically 1 or 2 demanding language since the creation in the mid-90's.There are many programming language but the rating of java in worldwide is the highest 13.27%. This month python has reached the rating 8.5%, if it keeps this pace it will probably replace java and C in 3 to 4 years’ time becoming the most popular programming language in the world. The main reason for this is that software engineering is booming by attracting lots of newcomers to the field.
Why to organize this conference?
Programming Language is the field of an ever-changing and great languages have to come and go which will burn bright and then it will fade into obscurity.
Scope of conference:-
Program Language aims to provide a forum for exploring and evaluating ideas on all aspects of programming languages and programming systems. Knowadays we can’t tell any language as the latest programming language. Every language have their own importance and uniqueness, that is the thing to love in the languages.
List of Global Universities:-
Asia Region:
Tsinghua University, China
National University of Singapore, Singapore
Hong Kong University of Science and Technology, Hong Kong
Kyoto University, Japan
Korea Advanced Institute of Science and Technology, South Korea
Indian Institute of Science, India
Khalifa University, United Arab Emirates
Europe Region:
University of Oxford, United Kingdom
ETH Zurich, Switzerland
LMU Munich, Germany
Karolinska Institute, Sweden
Delft University of Technology, Netherlands
America Region:
Aberystwyth University, USA
The University of British Columbia, Canada
Federal University of Minas Gerais, Brazil
List of Global Research Centers:
Aisa Region:
Nature of Computer Science Research in India
Peking University, China
Ulsan National Institute of Science and Technology, South Korea
National University of Singapore, Singapore
Europe Region:
University of Edinburgh, United Kingdom
The Max Planck Institute, Germany
America Region:
CSRI - Computer Science Research Institute, USA
National Research Council of Canada
Forcast for next 5years:
The market size of Programming Language on the basis of its direct revenue sources was valued at USD 641.9 million in 2016 and on the basis on enabled revenue at USD 5,970.0 million in 2016 and AI-based gross value addition (GVA) prognoses. By its direct revenue sources the market is projected to reach USD 35,870.0 million by 2025, growing at a CAGR of 57.2% from 2017 to 2025, whereas from its enabled revenue arenas it is expected to garner around USD 58,975.4 million by 2025.

There are research opportunities identified with the gathering of complete frameworks that consolidate programming Languages, optimization, design and analysis. To address these chances, analysts must re-think the extent of the issues in which they are happy to address. We believe that each and everyday programmers are developing, inventing new technologies in the field of programming languages. Research people group ought to convey research brings about a way that is usable by other research networks, in papers as well as in exhibition frameworks.


  • Algorithm and Data Structure
  • Software Technology
  • Artificial intelligence and Data Science
  • Cryptography
  • Computational Complexity
  • Graph Theory
  • Programming Language
  • Embedded System
  • Business Intelligence
  • Optimization of Program Language
  • Model of computation
  • Mathematical Aspects of Materials Science

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