Shape

Motivation

Generative AI (GenAI) and Deep Learning represent some of the most transformative areas in modern AI, impacting domains from language processing and image generation to autonomous systems and synthetic biology. As GenAI reshapes industries from healthcare to entertainment, there is a critical need for interdisciplinary insights, scalable solutions, and ethical frameworks.

This special issue on Advances in Generative AI and Deep Learning addresses the rapid evolution of transformative AI technologies impacting diverse fields like language processing, computer vision, and healthcare. With contributions from academia and industry, it will highlight cutting-edge architectures, efficient training methods, and practical applications. By focusing on interdisciplinary advancements, ethical considerations, and industry scalability, this issue aims to bridge research and real-world impact. It will serve as a valuable resource to define research agendas, encourage responsible AI practices, and foster a community of experts dedicated to pushing the boundaries of GenAI. This platform will be essential for capturing novel techniques and exploring the future of these powerful technologies.

ICT Academy partners with Umagine 2025 organized by Government of Tamil Nadu and intends to publish a Special Issue on Advances in GenAI and Deep Learning (AGDL-2025), that brings together intellects, practitioners, researchers, academics, technology experts, and industry gurus from across the world to exchange, debate, and share new ideas and technological developments.

This Special Issue on Advances in GenAI and Deep Learning (AGDL-2025) will be launched at the mega event - Umagine Chennai, 9-10 January 2025 at Chennai Trade Center, Chennai.

Guest Editor

Dr. Sainarayanan Gopalakrishnan

Global Technology Director, HCLTech

Topics

For the special issue on Advances in Generative AI and Deep Learning, we invite research articles across a broad range of topics, including but not limited to:

GenAI and Deep Learning Architectures: Innovations in transformer models, LLMs, SLMs, CNN, GANs, Encoders, diffusion models, etc.

Efficient Training and Resource Optimization: Techniques to reduce computational demands, including model compression, quantization, and transfer learning.

Multimodal Generative AI: Research integrating multiple data types (text, image, audio, etc.) for richer, more complex models and applications.

Applications of GenAI and Deep Learning in Diverse Domains: Deployments in software development, healthcare, finance, creative industries, robotics, education, sustainability, manufacturing, logistics, supply chain and beyond.

Ethics, Fairness, and Bias Mitigation: Approaches for addressing ethical challenges, transparency, and reducing biases in GenAI systems.

Human-AI Collaboration: Studies on enhancing human-AI interactions, co-creation, and assistive GenAI applications.

Security and Privacy in Generative AI: Advances in privacy-preserving techniques & Standards, Evaluation approaches and secure model deployment


This issue seeks diverse, innovative contributions that push the boundaries of GenAI and deep learning while addressing real-world challenges and ethical considerations

Target Audience

AGDL's target audience includes scholars, academicians, scientists, Ph.D. students, and Master's students. Researchers and engineers from industry are invited and may benefit immensely from the event’s wide perspective.

Submission Guidelines

Submissions must be unique, never before published, and not presently under review. Contribution statements on substantial and innovative contributions in the context of state-of-the-art advancement should be included in submissions.

Author guidelines must be strictly followed. Please see https://ictactjournals.in/guide.aspx

Submissions for this special issue will be managed through the ICTACT journal’s centralized submission system – please do not email your submission. Submission Link: Submit your paper

Prior to submission, the paper should be screened for plagiarism using any licensed tools. Similarity percentage cannot exceed 10% (in any case either self-contents or others). An article should not include any sort of self-plagiarism or plagiarism from the work(s) of others. If you incorporate any model, idea, figure, table, data, or concluding remark from a previously published work in your paper, you must properly cite the original work.

Review Criteria

Research papers, after blind peer-review process, with good scores demonstrating new research findings or successful innovative applications will be published in the Special Issue.

Relevance – Is the topic of the paper relevant to the scope of GenAI and Deep Learning

Originality – How novel and innovative is the paper? Emphasis on new work

Clarity – Is the paper well organized and well presented?

Potential Value – We hope that others may find value in the concepts they hear or read about on GenAI and Deep Learning.

Benefits

Publication of Special Issue in ICTACT Journal on Soft Computing (listed in UGC-CARE and global indexing sources)

DOI for the published article

Launched at Mega event – Umagine Chennai 2025

Important Dates to Authors

Last Date for Paper Submission: 12 December 2024
Notification of Acceptance: 26 December 2024
Submission of Camera-Ready copy: 03 January 2025
Publication Date January 2025

For doubts/queries, write to us @ agdl2025@ictacademy.in with subject ‘Special Issue – Special Issue on Advances in GenAI and Deep Learning 2025:’ followed by the query.

Contact Us

ICT Academy

Module No. E6-03, Sixth Floor, Block E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113
Tamil Nadu, India

Contact mail: contact@ictacademy.in

Phone: T +91 44 4290 6800