International Conference on Artificial Intelligence and Deep Learning Applications (ICAIDLA-2025)
OCT 16-18, 2025 | IBIS Pune, Pune, Maharashtra, India | Hybrid (In-person & Virtual)
Organized by NERD Publication
Welcome to ICAIDLA-2025
The International Conference on Artificial Intelligence and Deep Learning Applications (ICAIDLA-2025) is a premier platform for researchers, academics, industry professionals, and students to explore and discuss cutting-edge advancements in artificial intelligence (AI) and deep learning. Organized by NERD Publication, this hybrid event brings together global experts to share innovative research, foster collaboration, and shape the future of AI-driven technologies.
Join us on OCT 16-18, 2025, at the IBIS Pune in Pune, Maharashtra, India, or participate virtually from anywhere in the world. ICAIDLA-2025 offers a unique opportunity to present your research, engage with keynote speakers, and network with the AI and deep learning community.
Why Attend? Present your research, gain global visibility through publication in our peer-reviewed proceedings, and connect with leading experts in AI and deep learning.
Conference Highlights
Call for Papers: Submit your research papers on AI and deep learning applications by the deadline. Check the Call for Papers page for submission guidelines.
Key Details
Whether you’re presenting a paper, attending as a participant, or joining as a keynote speaker or session chair, ICAIDLA-2025 is your platform to contribute to the advancement of AI and deep learning.
Contact Us
For inquiries about ICAIDLA-2025, including registration, paper submission, or participation as a keynote speaker or session chair, please reach out to our organizing committee:
📞 Contact: +91 9561854529
🔗 Website: www.nerdpublication.com
📬 Email: nerd.publication@gmail.com
Email: nerd.publication@gmail.com
Phone .No: 9561854529
Scope
•Artificial Intelligence
•Cognitive Computing
•Decision Support Systems
•Human-Computer Interaction
•Machine Learning
•Data Mining
•Predictive Analytics
•Statistical Modelling
•Neural Networks
•Signal Processing
•Image Analysis
•Time-Series Analysis
•Deep Learning
•Feature Engineering
•Big Data Analytics
•Real-Time Processing
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
The International Conference on Artificial Intelligence and Deep Learning Applications (ICAIDLA-2025) invites researchers, academics, professionals, and doctoral scholars to submit original contributions in the form of extended abstracts, short papers, or full manuscripts for presentation at the conference, scheduled for OCT 16-18, 2025 at IBIS Pune, Pune, Maharashtra, India. The conference provides a global platform for sharing knowledge, discussing recent advances, and engaging in academic dialogue across diverse fields such as deep learning, computer vision, natural language processing, AI ethics, and interdisciplinary AI applications.
Submission Guidelines
Submissions must be sent via email to nerd.publication@gmail.com with the subject line “Paper Submission – ICAIDLA-2025.” Authors should include the following in their submission:
Submission Formats:
All documents must be written in English and submitted in Microsoft Word format (.doc or .docx). Authors are encouraged to use the official paper template available in the Downloads section.
Note: Submissions must be original and not under consideration elsewhere. Plagiarism checks will be conducted during the review process.
Paper Presentation
ICAIDLA-2025 offers multiple presentation formats to accommodate diverse research contributions:
Important:
Important Information
ICAIDLA-2025 will be hosted in a hybrid mode, allowing participants to present either in-person at IBIS Pune or live online. Key details include:
For detailed submission guidelines and the official paper template, visit the Downloads section. We look forward to your participation and contributions to advancing AI and deep learning research
REGISTRATION
Participation in the conference requires registration by at least one author of each accepted paper. All attendees, whether presenting or participating, must complete their registration before the specified deadlines to gain access to all sessions, materials, and participation certificates. The registration fee includes access to keynote lectures, technical sessions, and publication in the conference proceedings. Early registration is encouraged to ensure timely inclusion in the final conference program and proceedings.
International Conference Registration Fee Details | |||||
---|---|---|---|---|---|
Foreign Author's | Indian Authors | ||||
Physical Conference Registration Fees* | Virtual Conference Registration Fees** | Physical Conference Registration Fees*(Rs) | Virtual Conference Registration Fees**(Rs) | ||
Extended Early-Bird Registration 15 Th june , 2025 | Students: | $500 | $400 | 12000 | 12000 |
Extended Registration 15 July, 2025 | Non-Students: | $590 | $450 | 14000 | 14000 |
Listener Registration | ALL | $200 | $150 | 5000 | 4000 |
Co-author(Lunch and Conference KIT ) | 5000 | Lunch for accompany person | 4000 | ||
*Please note that registration fees are not refundable under any circumstances. If you have paid the physical registration fee but can’t attend in person, you can choose to present your paper virtually. |
Papers presented at the conference will be eligible for the Best Paper Award, which will be granted based on peer review scores and evaluations by the session chairs. Only registered authors who deliver their presentations are considered for this recognition.
Note: Please note that registration fees are not refundable under any circumstances. If you have paid the physical registration fee but can’t attend in person, you can choose to present your paper virtually.
REGISTRATION
Thank you for your interest in participating in a NERD Publication conference. Registration is mandatory for all attendees, including authors and non-presenting participants, to access conference sessions, materials, and participation certificates. Below, you will find detailed information about the registration process, benefits, awards, and payment instructions.
Registration Benefits:
Best Paper Award
Papers presented at the conference are eligible for the prestigious Best Paper Award. The award will be granted based on peer review scores and evaluations by the session chairs. Only registered authors who deliver their presentations during the conference will be considered for this recognition.
Eligibility for Best Paper Award:
To complete your registration, please make the payment using one of the following methods. After making the payment, kindly send the payment confirmation.
💰 Payment Options:
G-Pay/UPI: 9561854529
Bank Transfer:
Registration Policy
Publication
All submitted papers will undergo a thorough peer-review process conducted by two to three expert reviewers from the conference committee. Following a rigorous evaluation, all accepted papers will be included in the official conference proceedings .
Important Note:
Submissions must present original research findings—either experimental or theoretical—that have not been previously published or are not under review elsewhere. Papers must adhere to high academic and ethical standards. The conference maintains a strict policy against plagiarism and any form of academic misconduct, which will not be tolerated under any circumstances.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Plagiarism and Peer Review Policy
1. Plagiarism Checks Policy
This conference enforces a strict anti-plagiarism policy to uphold academic integrity and publication ethics. Plagiarism is defined as the unauthorized use of ideas, text, images, or datasets from other sources—including the author’s own previously published works—without appropriate acknowledgment of the original source.
All submitted manuscripts are screened using Turnitin plagiarism detection software. A maximum similarity index of 20% is allowed. Authors will be asked to revise their manuscripts if the similarity score exceeds this threshold. In cases of substantial plagiarism, the manuscript will be rejected without review.
2. Peer Review Process
All manuscripts submitted to the conference are subject to a double-blind peer review process to ensure the quality, integrity, and relevance of published research. In this process, the identities of both authors and reviewers remain anonymous to each other throughout the review. This anonymity supports objective assessment and minimizes potential bias, ensuring that all submissions are evaluated solely on their scholarly merit.
2.1 Initial Article Evaluation
A preliminary screening is conducted by a member of the Scientific Committee to determine the manuscript’s suitability for review. Submissions may be rejected at this stage for one or more of the following reasons:
•The manuscript contains poor English language or grammar, which significantly impairs readability and understanding.
•The submission lacks originality or fails to present new and meaningful contributions to the field.
•The article exhibits a breach of academic integrity, including plagiarism or unethical research practices.
•The content of the paper does not align with the scope or focus areas of the conference.
2.2 Reviewer Assignment
Following the initial evaluation, manuscripts deemed suitable for peer review are assigned to qualified reviewers who possess expertise in the relevant subject area. Reviewers are selected from the Scientific Committee to ensure alignment between the content of the manuscript and the reviewer’s academic or professional background. This careful matching process helps ensure that each manuscript is evaluated by individuals with the necessary knowledge to provide constructive, informed, and fair assessments. All reviewers are expected to maintain confidentiality and uphold the ethical standards of the review process.
2.3 Review Criteria
Reviewers evaluate each manuscript according to the following key criteria:
•Originality of the research, including clearly defined objectives and novel contributions.
•Appropriateness and clarity of the methodology.
•Accuracy and clarity in the presentation of results.
•Adherence to ethical research standards, especially in regard to plagiarism.
•Contribution to the advancement of knowledge in the respective domain.
•Overall quality of academic writing, structure, and coherence. Reviewers may also suggest improvements in language and style.
2.4 Editorial Decisions
Based on reviewers’ evaluations, the Scientific Committee will issue one of the following decisions:
•Accept without Revisions: The manuscript is approved for publication in its original form.
•Accept with Minor Revisions: The manuscript is accepted subject to minor corrections based on reviewer suggestions.
•Accept after Major Revisions: The manuscript requires significant modifications and will be reconsidered after resubmission.
Reject: The manuscript does not meet the conference’s standards and will not be considered for publication, even if revised.
Dr. Dinesh Babu is a distinguished academic and researcher in media and communication, with a Ph.D. in Animation Studies and over a decade of teaching and research experience. He is actively involved with international bodies such as UNESCO’s MIL Cities Network and the AI4Media Global Research Association. A frequent keynote speaker and panellist, he is widely recognized for his interdisciplinary expertise bridging AI, media, and communication. His work strongly focuses on technology-driven education, environmental awareness, and inclusive digital transformation.
Keynote Speech Title: Humanizing AI: Rethinking Communication, Culture, and Cognition in the Age of Deep Learning
Keywords: AI for Social Impact, Human-Centered Design, Media Futures, Cultural Intelligence, Ethical Communication
Mr. Rahul Autade is a seasoned expert with over 22 years of experience in fintech and payment systems, having led major implementations for top U.S. banks. His work spans AI, cybersecurity, blockchain, and real-time payment infrastructure. A keynote speaker at IEEE AIC 2025 and presenter at IICE 2025, he also serves as a judge and reviewer for IEEE conferences and global innovation summits. Mr. Autade brings a unique blend of technical depth and visionary leadership to ICAIDLA-2025’s Emerging Technologies track.
Keynote Speech Title: Intelligent Convergence: Harnessing AI and Deep Learning for Real Time Decision Intelligence in Financial and Smart Ecosystems
Keywords: Artificial Intelligence, Deep Learning, Real Time Systems, Financial Technology, Smart Infrastructure, Predictive Analytics, Ethical AI, Neural Networks, Cybersecurity, Autonomous Decision Making
Dr. Meenakshi Kaushik is a seasoned professor and international keynote speaker with over 18 years of expertise in HRM, digital transformation, and leadership. She has presented at 12+ global conferences, authored two books, and published widely with 1000+ citations. A recipient of the LREA Award 2024, she blends academic depth with practical insights on AI, innovation, and the future of work.
Keynote Speech Title: Integrating AI in Education Industry: Opportunities and Challenges
Keywords: Education Industry, Digital Transformation, Artificial Intelligence, Educational Technology, Personalized Learning, Adaptive Curriculum, Individual Learning Speed, Learning Styles, Real-time Comprehension
Dr. R. Anitha has over 25 years of experience, including 10 years post-Ph.D. from Anna University, Guindy. She has guided nine Ph.D. scholars and led her department to achieve NBA accreditation three times consecutively. She has secured ₹40 Lakhs in research funding from DST and AICTE and holds five patents, two granted under IPR.
Her research focuses on cloud computing and data analytics. Dr. Anitha has presented internationally, including a CSIR-funded visit to the University of Washington, Seattle, and completed a recent Global Immersion Program in Malaysia.
Keynote Speech Title: Cloud-Edge AI and Tiny ML: Bringing Deep Learning to Resource-Constrained Environments
Ramakrishna Ramadugu is a seasoned technology leader with over 22 years of experience in Fintech, Artificial Intelligence, and Cybersecurity. He serves as a reviewer for major conferences like IEEE Life Members Conference and iLRN, and has presented at 25+ international events. His work focuses on applying AI and deep learning to financial systems, with an emphasis on risk analytics, fraud detection, and ethical AI deployment.
Keynote Speech Title: Deep Learning in Fintech: Transforming Risk and Fraud Detection
Keywords : AI in finance, deep learning, fraud detection, credit risk analytics, anomaly detection, explainable AI.
General Chair
Distinguished Professor of Chemistry and Enrico Fermi Chair in Molecular Spectroscopy, Head, Cancer Research Institute & Director, BioS pectroscopy Core Lab, Faculty of Chemistry, California South University (CSU), Irvine, USA Board Member, WATOC | Member, AACR & ASBMB President, American International Standards Institute (AISI), Irvine, USA
PROGRAM CHAIR
Principal & Professor
Veltech Multitech ANNA University, India –
Greek Ministry of Education
Directorate of Educational Technology and Innovation- Greece
Professor
BOS Chairperson in Education
Sri Padmavati Mahila Visvavidyalayam (Women's University), India
TECHNICAL/SCIENTIFIC COMMITTEE
ORGANISING COMMITTEE
STEERING COMMITTEE
ETHICS AND COMPLIANCE COMMITTEE
Core Practices of Committee:
The committee’s diverse expertise (law, education, social sciences) and international representation (UK, Australia, USA, India) ensure robust ethical oversight for AI-focused proceeding
NERD PUBLICATION
Pune-India
Email.Id:nerd.publication@gmail.com (or) editor@nerdpublication.com
Ph.No.+919561854529
Publication
All submitted papers will undergo a thorough peer-review process conducted by two to three expert reviewers from the conference committee. Following a rigorous evaluation, all accepted papers will be included in the official conference proceedings .
Important Note:
Submissions must present original research findings—either experimental or theoretical—that have not been previously published or are not under review elsewhere. Papers must adhere to high academic and ethical standards. The conference maintains a strict policy against plagiarism and any form of academic misconduct, which will not be tolerated under any circumstances.