Conference Information

DTESI 2020: International Conference on Digital Technologies in Education, Science and Industry

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Submission Date:
2020-02-01
Notification Date:
2020-02-15
Conference Date:
2020-06-17
Location:
Almaty, Kazakhstan
Viewed: 12549   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

42.1 / 100
Ranked #4,083 of 5,650 conferences · Top 73%

#94 of 138 in Education & Learning Technology

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

DTESI 2020 (International Conference on Digital Technologies in Education, Science and Industry) is an academic conference held in Almaty, Kazakhstan on 2020-06-17. The paper submission deadline is 2020-02-01. Acceptance notifications are sent on 2020-02-15.

The International Conference on Digital Technologies in Education, Science and Industry 2020 and will take place in the International Information Technology University (IITU), Manas Street 34/1, Almaty, Kazakhstan, 17-19 June, 2020. The DTESI 2020 is co-sponsored by IITU, Kazakhstan and IARES Inc., Canada. The conference has the focus on the frontier topics in the Digital Technologies for Education, Science, E-learning, Computational Evolutionary and Industry subjects. The DTESI 2020 conference serves as good platforms for our members and AI, Data Science, Computational Evolutionary, Data Engineering and IoT community to meet with each other and to exchange ideas. Within the framework of the DTESI-2020 conference, it is planned to discuss various aspects in the field of the application of digital technologies in education, science, industry, economics and mass media. All submitted papers will be under peer review and accepted papers will be published in the conference proceeding. Conference Tracks Industry 4.0 & Artificial Antelligence IoT and IIoT (Industrial Internet of Things) M2M (Machine-to-Machine) communication Smart Factory CPS (Cyber-Physical System) Manufacturing Software ML (Machine Learning) Data Science Smart Sensor Technology Robotic Systems System Modelling and Control Industry 4.0 Case Study Cybersecurity Vertical and Horizontal Integration Policies and management of smart industry Manufacturing with information technology Deep Learning Neural Network Web Engineering Information Technology Telecommunication & Networks Connected Machines Networking Wireless/ Mobile Communication Signal Processing Satellite Communication Systems 4G/5G Network Evolutions 5G/6G Network Evolutions Mobile Adhoc Networks Open Spectrum Solutions Communication Protocols Cognitive Radio e-Learning e-Learning Tools Mobile Learning e-Learning Organisational Issues Gamification Collaborative Learning Curriculum Content Design Educational Systems Design Virtual Learning Environments Web-based Learning Delivery Systems and Environments Evaluation and Assessment Political and Social Aspects Information systems & Cyber Systems Block chain Computer-Mediated Communication Computer-Aided Design Content Development Conceptual modeling credit recognition process Crowdsensing Customer interaction on community platform Cyber law and Intellectual Property Cyber Policy and Best Practice Cyber Strategies and Provision Cyber Ethics Cyber Integration and Convergence Cyber Policy Issues Data Security Issues Privacy and Confidentiality Data Leakage and Breach Data Mining Energy Efficient Wireless Sensor Networks Entrepreneurship as digital transformation driver Human Computer Interaction and Usability Information Search and Retrieval Information Control Models Internet and Infirmity Interfaces to information systems Interactivity and virtuality Internet and Aging Population Intelligent Systems & Optimization Knowledge-Based Management Mobile Communication Mobile privacy management Malware Infringement and Protection Network Security Object-oriented database systems Office automation Persistence and data types Potentials and challenges of enterprise software management Privacy Protection Issues Protocol for graph-based editing process outsourcing Query processing in database systems Semantic Ontology Secure Cloud Computing Simulation and evaluation of deferred lock enforcement Smart service engineering and smart service Social and Organizational Characteristics Supply chain models Social and Cyber Bookmarking Social Software Virtual Communication New Media & e-Society Citizenship, regulation and hierarchy Digitization, heterogeneity and convergence Development of Digital Services e-Journalism Freedom of Expression Innovation, identity and the global village syndrome Internet Cultures and new interpretations of “Space Polity and the Digitally Suppressed Philosophy of engineering and technology Digital media Political Reporting Digital Economy Digital transformation processes in the private and public sectors E-Governance E-Commerce E-management Digital Marketing FinTech Mobile Payment Systems E-Health Balance of Trade and Big Data Utilizing Big Data in Sustainable Development Compuational Language and Technology Building up an ESP course for IT universities Professionally oriented language teaching Computer-assisted language learning and teaching Mobile-assisted language learning and teaching Teaching English for Computer Users Computer-aided corpus linguistics Machine translation Speech recognition Computational complexity Computational semantics
Last updated by Dou Sun on

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