2nd International Conference on Deep Learning and Visual Artificial Intelligence
(ICDLAI-2025)
JIET Jodhpur, Rajasthan, India
About Conference
The 2nd International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI-2025) will be held on December 20-21, 2025, at the Jodhpur Institute of Engineering and Technology, Jodhpur, India. It served as a global forum for researchers, academicians, and industry experts to discuss and exchange ideas on the latest advancements in deep learning and visual artificial intelligence. The conference provided a collaborative platform to explore innovative research, cutting-edge applications, and emerging trends in AI-driven solutions.
ICDLAI-2025 played a crucial role in bridging the gap between theoretical advancements and real-world applications in artificial intelligence. It brought together experts in neural networks, computer vision, and intelligent systems to foster interdisciplinary research and technological breakthroughs. The conference emphasized the importance of AI in revolutionizing industries such as healthcare, autonomous systems, and intelligent automation.
ICDLAI-2025 contributed significantly to shaping the future of AI and deep learning by integrating theoretical insights with practical solutions. It provided an engaging environment for knowledge sharing, networking, and collaboration, empowering researchers and practitioners to address contemporary challenges in artificial intelligence and visual computing.
All ICDLAI-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.
Highlights
Key insights, research presentations, and discussions on AI and advanced materials.
- Learn from the best in the industry
- Discover the best tools and practices
- Meet developers from all over the world
- Grow your network
- Academics, researchers, and PhD scholars in computer science and engineering
- Professionals from the AI, cybersecurity, and data science industries
- Government and industry stakeholders exploring intelligent solutions
- Students and enthusiasts interested in advanced algorithms and computing
- Technology developers and innovators
Keynote
Swiss School of Business & Management, Faculty of AI applied to Business & Computer Science, Geneva, Switzerland
University of Raparin, Ranya, Kurdistan Region- Iraq
Department of Computer Science, Namibia’s University of Science and Technology, Windhoek, Namibia
Department of Computer Science, Global Knowledge Research Foundation, Ahmedabad, Gujarat, India
Department of Electrical Engineering
Prince Mohammad Bin Fahd University, Kingdom of Saudi Arabia
University of Bisha, Saudi Arabia
Department of Computer Science and Engineering , Techno International New Town, Kolkata, India
Faculty of Electrical Engineering University of Malta Msida, Malta
25 September 2025
Paper Acceptance
30 November 2025
Registration
Final Camera Ready
Conference Dates
20-21 December 2025
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 2nd International Conference on Deep Learning and Visual Artificial Intelligence 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.
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.
All ICDLAI 2025 presented papers will be send for publication in conference proceedings (Proposal Submitted)
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.
Organized By
Supporting Partner
Publication Partner
Publication Partner
Proceedings of ICDLAI - 2024
