Theme: “AI-Driven Approaches for Sustainable Edge Computing, Fog Computing, Metaverse, Autonomous Cars, Game Theory, Healthcare, and Quantum Computing.”
Overview
Welcome to the proceedings of the ICDCID 15th student research symposium, where cutting-edge research and innovation converge to explore the transformative potential of AI-driven approaches across diverse domains. In today’s rapidly evolving technological landscape, artificial intelligence (AI) stands as a cornerstone, driving innovation and reshaping the way we interact with and leverage technology.
This conference serves as a platform for students researchers and practitioners to delve into the forefront of AI-driven advancements, with a particular focus on sustainable edge computing, fog computing, metaverse technologies, autonomous vehicles, game theory, healthcare, and quantum computing. These tracks represent pivotal domains where AI is catalyzing groundbreaking solutions, revolutionizing industries, and paving the way for a smarter, more interconnected future.
Sustainable Edge Computing and Fog Computing:
Edge computing and fog computing have emerged as critical paradigms in the era of the Internet of Things (IoT) and distributed computing. These approaches enable efficient processing of data closer to its source, reducing latency and bandwidth usage while enhancing scalability and reliability. Within this track, researchers explore AI-driven optimizations for edge and fog computing systems, addressing challenges related to resource allocation, energy efficiency, security, and sustainability.
Metaverse Technologies:
The metaverse represents a convergence of virtual and physical realities, offering immersive experiences and new dimensions of interaction. AI plays a pivotal role in shaping the metaverse landscape, powering realistic simulations, personalized avatars, intelligent virtual assistants, and dynamic content generation. This track delves into AI-driven innovations within the metaverse, spanning virtual environments, augmented reality (AR), mixed reality (MR), and virtual economies.
Autonomous Cars:
Autonomous vehicles (AVs) are poised to revolutionize transportation, promising safer, more efficient, and sustainable mobility solutions. AI serves as the cornerstone of autonomous driving systems, enabling real-time perception, decision-making, and control in complex environments. This track explores the latest advancements in AI-driven autonomous cars, encompassing perception algorithms, path planning strategies, vehicle-to-everything (V2X) communication, and regulatory considerations.
Game Theory:
Game theory provides a powerful framework for modeling strategic interactions and decision-making in diverse domains, ranging from economics and biology to computer science and the social sciences. AI-driven approaches have expanded the horizons of game theory, enabling automated negotiation, adaptive strategies, and equilibrium analysis. Within this track, researchers delve into AI-powered game-theoretic models, algorithms, and applications across various domains.
Healthcare:
AI holds immense promise for revolutionizing healthcare delivery, diagnosis, treatment planning, and personalized medicine. From medical imaging and drug discovery to predictive analytics and patient care, AI-driven innovations are reshaping every facet of the healthcare ecosystem. This track explores the intersection of AI and healthcare, showcasing breakthroughs in medical image analysis, clinical decision support systems, telemedicine, and healthcare informatics.
Quantum Computing :
Quantum computing represents a paradigm shift in computation, harnessing the principles of quantum mechanics to perform complex calculations at unprecedented speed and scale. AI techniques are increasingly being integrated with quantum computing, unlocking new possibilities for optimization, machine learning, cryptography, and materials science. In this track, researchers explore the synergy between AI and quantum computing, unraveling the potential of quantum-enhanced AI algorithms and applications.
In summary, the [Conference Name] promises a stimulating exchange of ideas, insights, and discoveries at the forefront of AI-driven innovation. We invite you to embark on this journey of exploration and collaboration, as we chart the course towards a future empowered by intelligent technologies.
Submission and Publication Guidelines:
- All submitted papers must be in the given domain.
- The paper page range must be between 10-15 pages.
- Both implementation as well as survey papers will be considered for the symposium.
- The maximum number of authors in a paper should be 3.
- The original, unpublished technical content in the relevant domain will be considered for the symposium.
- Papers Submissions Submissions must be in pdf format.
- All papers must be submitted on or before 10th November 2024 through https://easychair.org/conferences/?conf=srs2025
- The Notification date to the authors is 30th November 2024.
- The selected papers will be reviewed by the technical committee of the conference.
- Accepted papers must be presented by the authors during the symposium event.
- All accepted, registered, & presented papers will be considered for publication by Cambridge Scholars Publishing.
- The top 3 papers will be awarded at the symposium event.
SRS Chair
Dr. Manjusha Pandey, KIIT, India
Phone : +918763999448
Mail Id : :[email protected]
Dr. Anjan Bandyopadhyay, KIIT, India
Phone : 9064167515
Mail id : [email protected]
Advisory committee
Dr. Maxim Bobyr, Southwest state University, Kursk, Russia
Prof. Dr.-Ing. habil. Siddhartha Bhattacharyya, Senior Research Scientist, VSB Technical University of Ostrava Czech Republic
Dr. Sekhar Verma, Dean Academics, IIIT Allahabad
Dr. Siddharth Routray, KIIT, Dean, IQAC