Join us for the eagerly awaited International Conference on Educational Technology with Machine Learning (ICETML-27) in Tokyo, Japan on 13th - 14th January 2027. World Academics is proud to host this event, which serves as a leading international stage for showcasing the latest advancements and innovations in the field. Our aim is to provide a dynamic platform where industry professionals and academics can come together to exchange ideas and discuss the latest developments
The focal point of this conference is to provide attendees with a chance to share their knowledge and insights with a worldwide audience. Our comprehensive program will include industry-driven presentations, expert panels, and keynote speeches from global thought leaders.
During the conference, attendees, presenters, keynote speakers, and volunteers will have access to top-notch facilities, resources, and opportunities, allowing them to achieve their professional goals. Furthermore, the event will serve as an excellent networking opportunity, providing delegates with the chance to form business and research relationships, engage in high-level discussions, and foster future international collaborations. These experiences will significantly enrich your professional growth and development.
✪ Our goal is to bring together key players in these fields to work collaboratively and find solutions to these pressing challenges. Throughout the conference, we will focus on recognizing current and future obstacles and finding ways to overcome them through insightful discussions and knowledge-sharing sessions.
✪ Attendees will have the chance to exchange information and ideas derived from international research and studies, as well as build valuable professional connections. This conference has been meticulously designed to not only help individuals reach their professional objectives but also drive growth in their respective industries.
World Academics is an informative and networking platform that brings together academicians and experts from various domains on one platform. Global events and breakthrough discussions transcend geographical limitations. In addition, it helps all nations be on the same page regarding the fields.
The conference offers a significant opportunity for students, industry experts, organizations, and professionals in various fields of science, technology, engineering, and the environment. The brainstorming session helps to discuss solutions, answers, future strategies, and more. In addition, we provide a platform for events such as presentations, workshops, conferences, and speeches to benefit the field and humanity. These discussions provide a great deal of exposure, learning, and engagement.
"Stay updated with important announcements, deadlines, and all the latest conference details. Keep an eye on this section for any changes and news regarding the event in Tokyo."
Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.
Vision
World Academics' vision is to be the leading platform for sharing and advancing knowledge and fostering collaboration among academicians, researchers, and industry professionals globally.
Mission
The mission of World Academics is to promote the latest and most accurate information through discussions in all fields and to provide a platform for the exchange of ideas, the presentation of research, and the development of meaningful connections and collaborations among attendees.
Goals
14th December 2026
19th December 2026
29th December 2026
13th - 14th January 2027
Opportunities for creative thinking and problem-solving through discussions and collaboration
Network and collaborate with international experts and scientists in various disciplines
Build connections and collaborations for future endeavors
Access the latest research and discoveries in the field
Gain valuable career advice and opportunities to publish research in reputed international journals
Publish articles in reputed journals and obtain citations from scientific repositories
Authors submit their research abstracts summarizing objectives and findings.
Authors are notified if their abstract is accepted or needs revision.
Authors submit their full paper, building on the accepted abstract.
Authors revise their papers as per the peer reviewer feedback.
Accepted papers are considered for publication in the conference proceedings.
Submissions undergo a peer review method, ensuring they meet conference standards.
Authors finalize their registration after acceptance.
The full paper is reviewed by experts to evaluate its quality.
The conference committee makes the final decision after reviewing the revised paper.
Best papers and presentations are eligible for awards.
Data Engineering Sr. Manager
Department of Data Engineering & Analytics
University of Hartford
Software Engineer
Bachelor of Engineering
Coimbatore Institute of Technology
Assistant Professor
Mechanical Engineering
Navsahyadri Education Society's Faculty of Engineering
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International Conference on Dental Science and Advanced Dentistry (ICDSAD)
International Conference on Business Management and Humanities (ICOBMH)
International Conference on Economics Engineering and Business Management (ICEEBM)
International Conference on Water, Energy and Environmental Management (ICWEEM-25)
International Conference on Dental Science and Advanced Dentistry (ICDSAD)
This ICETML presents a wide spectrum of session tracks covering core academic disciplines and applied research areas within Machine Learning.
It provides an opportunity for academicians, researchers, and practitioners to exchange knowledge and contribute to evolving research landscapes.
Each track is curated to support intellectual growth, collaboration, and interdisciplinary exploration.
The conference also emphasizes sustainability and ethical research aligned with global development goals.
SDG 4 – Quality Education
SDG 8 – Decent Work and Economic Growth
SDG 9 – Industry, Innovation and Infrastructure
Paper Title: Regional Attitudes of Industrial High School Students: Differences by Career Path in Local Resource-Based Educational Programs
For strengthening career-oriented education through local resource-based learning and regional development initiatives
Paper Title: Drone-Based Medical Supply Chain Optimization: Integrated Forward-Reverse Last-Mile Logistics with Financial Viability Analysis
For advancing efficient and technology-driven healthcare supply chain solutions
Paper Title: Determinants of Health and Fitness among University Students: Evidence from a Correlation Study
For promoting preventive health awareness and student well-being
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