AIDLCNMA2022: Artificial Intelligence and Deep Learning for Computer Network Management and Analysis |
Website | https://sites.google.com/thapar.edu/aidlcnma/home |
Submission link | https://easychair.org/conferences/?conf=aidlcnma2022 |
In recent years, particularly with the advent of Deep Learning (DL), new avenues have opened up to handle today's most complex and very dynamic computer networks, and the large amount of data (often real-time) that they generate. Artificial Intelligence (AI) and Machine Learning (ML) techniques have already shown their effectiveness in different networks and service management problems, including, but not limited to, cloud, traffic management, cyber security, etc. There exist numerous research articles in this domain but a comprehensive and self-sufficient book with covering the current state-of-art in the domain is deficient in the literature. The book aims to systematically collect quality research and ensemble all facets of AI, ML and Deep learning applications in and around, not only networks and communications but also security related areas under a single cover to provide the readers a more precise picture of how and where these approaches can be applied. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
· Learning-based signal processing schemes
· Physical layer management and analyses techniques
· Learning-based MAC protocol optimization
· Adaptive routing and end-to-end communication approaches
· Deep Learning in traffic management
· Application of AI and ML in network resource management
· Application of AI, ML and DL in network security challenges
· Cloud management, routing and traffic engineering
· Machine learning and multimedia networking
· Deep Learning and wireless communication
Committees
Program Committee
- Dr. Sangita Roy, Thapar Institute of Engineering and Technology, India
- Dr. Rajat Subhra Chakraborty, IIT Kharagpur, India
- Dr. Jimson Mathew, IIT Patna, India
- Dr. Arka Prokash Mazumdar, MNIT Jaipur, India
- Dr. Sudeshna Chakraborty, Sharda University, India
Organizing committee
- Dr. Sangita Roy, Thapar Institute of Engineering and Technology, India
- Dr. Rajat Subhra Chakraborty, IIT Kharagpur, India
- Dr. Jimson Mathew, IIT Patna, India
- Dr. Arka Prokash Mazumdar, MNIT Jaipur, India
- Dr. Sudeshna Chakraborty, Sharda University, India
Contact
All questions about submissions should be emailed to sangita.roy@thapar.edu
For other details check the following link:
https://sites.google.com/thapar.edu/aidlcnma/home