AIDATA-2026

International Conference on AI-Driven Integrated Data Approaches in Thermal & Atomic Research (AIDATA – 2026)

(AIDATA-2026)
13-14 November 2026

BTU Bikaner, Rajasthan, India

Know Who We Are

About Conference

The International Conference on AI-Driven Integrated Data Approaches in Thermal & Atomic Research is a premier global forum dedicated to advancing the intersection of physics, chemistry, and artificial intelligence (AI). The conference emphasizes how data-driven methodologies can transform our understanding of thermal phenomena, atomic interactions, and material behavior, enabling breakthroughs across scientific and industrial domains.

With rapid advancements in computational power and data acquisition technologies, modern research in physics and chemistry generates vast and complex datasets. This conference focuses on harnessing AI, machine learning, and integrated data platforms to analyze, interpret, and predict physical and chemical processes at both macroscopic and atomic scales.

The event aims to unite:
Core Objectives

All AIDATA-2025 presented papers will be published in conference proceedings by Springer LNNS. ISSN: 2367-3370, Series:https://www.springer.com/series/15179 

indexed in SCOPUS, WTI AG, zbMATH, DBLP, EI Compendex, INSPEC etc.  

Why Join Us
Target Audience
Speakers and Panels

Keynote

Dr Kathrin Gabriele Kind Senior Lecturer

Swiss School of Business & Management, Faculty of AI applied to Business & Computer Science, Geneva, Switzerland

Dr. Paiman Ahmad President

University of Raparin, Ranya, Kurdistan Region- Iraq

Prof Dharm Singh Jat Professor

Department of Computer Science, Namibia’s University of Science and Technology, Windhoek, Namibia

Dr. Amit Joshi Director

Department of Computer Science, Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

Dr. Korhan Cengiz Associate Research Professor

Department of Electrical Engineering
Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia

Dr. Ajay Roy Associate Professor

University of Bisha, Saudi Arabia

Dr. Nilanjan Dey Associate Professor

Department of Computer Science and Engineering , Techno International New Town, Kolkata, India

Dr. Tien Anh Tran Researcher

Faculty of Electrical Engineering University of Malta Msida, Malta

Dates and Paper Submission
Papers submission Deadline

15 July 2026

Paper Acceptance

30 September 2026

Registration

Within 7 days of Acceptance

Final Camera Ready

Within 7 days of Acceptance

Conference Dates

13-14 November 2026

Participants are invited to submit original research papers that align with the conference themes. All submissions will undergo a rigorous peer-review process to ensure high-quality contributions. Accepted papers will be presented at the conference and sent to the publisher for publication in the conference proceedings. 

Join us at the International Conference on Artificial Intelligence and Data Analytics for Technology Advancement to participate in this exciting journey of discovery and innovation. Together, we can push the boundaries of technology and material science to create solutions for the future. 

Please Submit Your Paper using the following link  https://cmt3.research.microsoft.com/ICDLAI2025

Authors are kindly invited to submit their formatted full papers including results, tables, figures, and references. All submissions are handled through the Portal at: Paper Submission Now.

Author Guideline for the Paper Submission: Advisory guidelines for the author to read before the submit paper.

Paper Submission Guidelines

All AIDATA-2026 presented papers will be send for publication in conference proceedings (Proposal Submitted)

Review Process

By submitting a paper to AIDATA-2026, the authors agree to the review process and understand that papers undergo a peer-review process. Manuscripts will be reviewed by qualified experts in the field selected by the Conference Committee, who will review the work and—if the submission gets accepted—the authors will have to submit a revised (“camera-ready”) copy.

All papers are reviewed using a double-blind review process: authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other’s identities, nor do the authors receive information about who has reviewed their manuscript.

ASSOCIATES & SPONSORS

Organized By

Supporting Partner

AIDATA Proceedings

Proceedings of AIDATA- 2024

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