Societal Transformation: AI and Big Data Journal
Welcome to Societal Transformations: AI and Big Data (AIBD), a distinguished bi-annual research journal proudly published by the Department of Computer Science at Iqra University, Karachi, Pakistan. Our journal is dedicated to advancing the frontiers of knowledge in the dynamic realms of artificial intelligence and big data on a global scale.

About the Societal Transformation: AI and Big Data Journal
Mission and Vision:
At AIBD, our primary mission is to be at the forefront of disseminating cutting-edge research, contributing to the ever-evolving landscape of artificial intelligence and big data. By offering a unique platform, we invite academicians, researchers, scientists, and practitioners in the field of computing sciences to share their groundbreaking findings, fostering collaboration between academic and industrial research communities.
Some more about journal
Focus Areas: Our journal covers a diverse range of topics within the vast spectrum of computing sciences. Some of our key focus areas include:
• Artificial Intelligence,
• Deep Learning,
• Software Agents,
• Data Mining,
• Big Data,
• Next Generation Networks,
• Cryptography,
• Information Security,
• Software Engineering,
• Speech and Pattern Recognition,
• Evolutionary Computation,
• Community Algorithms,
• Data Provenance,
• Semantic Web,
• Database Technologies,
• Internet of Things (IoT),
• Computer Vision,
• Distributed Computing,
• and Grid and Cloud Computing.
We believe in publishing quality content; therefore, we expect academic integrity and transparency from the authors. We seek to build a partnership with authors, editors, and readers, so
- We never expect authors to pay a submission fee neither in the form of money nor in exchange for gifts
- We don’t ask authors to pay an article-processing charge (APC)
- We don’t believe in claiming falsely to represent another person or entity
- We will never use your data without your permission
We will ensure that:
- Your published paper is double-blind peer-reviewed
- Your accepted works are published and made discoverable
- We assign DOIs to your published work
- We preserve the published version of record via digital preservation archiving schemes (Tehqeeqat)