• Riphah International University, Islamabad, Pakistan Conference Venue
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Welcome to CAIDS-25

The Faculty of Computer Science & Information Technology, University of Science & Technology Bannu (UST Bannu), in collaboration with the Faculty of Computing, Riphah International University Islamabad (RIU Islamabad), the University of Lakki Marwat (ULM Lakki Marwat), the Gomal University D.I Khan, Kalam Bibi International Women Institute, Bannu and Multimedia University Malaysia (MMU Malaysia), is proud to host the 3rd International Conference on Recent Advances in Computing, Artificial Intelligence, and Data Science (CAIDS-2025). The event will take place at Riphah International University, Islamabad, on December 23-24, 2025, following the successful organization of CAIDS-2023 and CAIDS-2024.
Over the past two years, CAIDS has witnessed remarkable participation from the global research community. CAIDS-2023 received 69 submissions with 44 accepted for presentation, while CAIDS-2024 attracted 93 submissions, with 56 accepted and 42 selected for publication in international journals and proceedings. This consistent growth highlights the conference’s rising reputation as a trusted platform for disseminating quality research in Computing, AI, and Data Science.
CAIDS-2025 aims to provide a premier platform for researchers, academicians, and industry professionals from across the globe to present their latest research findings and innovative ideas. This joint initiative by UST Bannu, RIU Islamabad, ULM Lakki Marwat, Gomal University, KIWI Bannu (Pakistan), and MMU Malaysia seeks to foster collaboration and knowledge exchange between academia, industry, and government sectors, with a special focus on practical applications and advancements relevant to Pakistan.
The conference receives significant financial and technical support from its organizing partners: UST Bannu, RIU Islamabad, ULM Lakki Marwat, Gomal University, and KIWI Bannu. The event is also proudly supported by the Pakistan Science Foundation (PSF) through the competitive research grant for the project titled “Political Pulse: An Explainable AI-Based Deep Learning Platform for Detecting and Analyzing Multilingual Disinformation on Social Media” (Project No. PSF-CRP / TUBITAK-IV/AI / KPK-GU (33)). Furthermore, support from the Higher Education Commission of Pakistan (HEC) is currently in process. Accepted and presented papers will be considered for publication in the associated journals of MMU Press Malaysia (subject to an additional round of journal-specific peer review).
CAIDS-2025 will be held in a hybrid mode, allowing both onsite and online participation, ensuring wider accessibility and engagement.
We warmly invite you to be a part of CAIDS-2025 and contribute to making this two-day international event a valuable, productive, and memorable experience in Islamabad – one of the most beautiful capital cities in the world.
24 December 2025
23 December 2025

Prof. Dr. Aurangzeb Khan

Chief Organizer
Prof. Dr. Aurangzeb Khan is the Chief Organizer of the 3rd International Conference on Recent Advances in Computing, AI & Data Science (CAIDS-2025) on behalf of the University of Lakki Marwat (ULM) and the University of Science & Technology Bannu (UST Bannu). He is currently serving as Vice Chancellor of ULM and Vice Chancellor of Kalam Bibi International Women Institute, Bannu, in addition to his role as Professor at UST Bannu.
He holds a PhD in Information Technology from Universiti Teknologi PETRONAS, Malaysia. His research interests include Big Data, Data Science, Machine Learning, and Web Mining. Over the course of his career, he has published 71 research papers, contributed to three book chapters, and presented in more than 20 national and international conferences and workshops.
Prof. Dr. Aurangzeb Khan is an HEC-approved PhD Supervisor and has received multiple research grants and academic awards for his outstanding contributions to the field of Computer Science and IT. His leadership, academic excellence, and vision make him a driving force behind CAIDS-2025.

Prof. Dr. Muhammad Zubair

Chief Organizer
Prof. Dr. Muhammad Zubair is the Chief Organizer of the 3rd International Conference on Recent Advances in Computing, AI & Data Science (CAIDS-2025) on behalf of Riphah International University, Islamabad, Pakistan. He is currently serving as Dean, Faculty of Computing at Riphah International University.
With over 25 years of teaching and research experience at both national and international levels, Dr. Zubair has made significant contributions to curriculum development for undergraduate and graduate programs. He is highly experienced in academic program accreditation, with expertise in both national bodies (NCEAC, PEC) and international standards (ABET).
As an academic leader, he is passionate about integrating emerging technological trends into curricula to ensure that students are well-prepared for industry challenges. His academic vision, administrative expertise, and commitment to excellence make him a key driving force behind CAIDS-2025.

Topics of Interest

Topics of interest include but not limited to the following:
Computing, AI and DS concepts, Infrastructures and Applications Modeling and Simulation Concepts and Applications Mathematical and Statistical Foundations Algorithms and Data Structures
Fog, Edge, Cloud, Grid, Cluster and P2P Computing Concurrent, Parallel and Distributed Computing Systems Ubiquitous Computing Computer Networks, Communication and Security
Computer Architectures: CPU and GPU Based Systems Computer Graphics and Medical Imaging Advanced Databases Concepts and Optimizations Software Engineering Concepts, Tools and Applications
Artificial Intelligence Machine Learning Algorithms Computer Vision Neural Networks
Cyber Security Ethics and Bias Climate Change and Environmental Monitoring Robotics
Optimization Algorithms Generative AI Games, Augmented and Virtual Reality Parallel and Distributed Simulation Systems and Virtual Worlds
Data Visualization Deep Learning Data, Text and Web Mining Exploratory Data Analysis (EDA)

Jointly Organized and Sponsored by