Full Paper Submission Open:16th November,2022

Final-Paper Submission Deadline:18th January,2023

Location :Chennai, India

 Conference introduction:

IEEE Winter Summit on Smart Computing and Networks, WiSSCoN 1.0 is an IEEE conference conducted by the Department of Information Technology, SSN College of Engineering for the research community. It is a conference venue for researchers to present and exchange significant and innovative contributions and ideas in the field of Smart Computing, Networks, and closely related areas. WiSSCoN 1.0 covers both theoretical and systems research. The conference is scheduled for March 15-17, 2023 on hybrid mode and includes a main technical program, several workshops, keynote talks by eminent researchers from India and abroad, panel discussions, and poster sessions.

Organizing Committee

Dr. N. Bhalaji

Dr. A. Sandana Karuppan

Dr. V. Arulkumar

Dr. K. Kabilan

Dr. Ashwinth Janarthanan

Call for Papers:

We invite high-quality submissions describing original and unpublished research work for the conference.
Topic of interest
The special focus on smart computing but not limited to:

Information management system
Networks and Applications
Heterogeneous Networks and web of things
Distributed and Parallel Computing Cloud Computing
Data Mining and Knowledge Discovery
Data Visualization and Interactive Data Exploration
Artificial Intelligence and Data Analysis
Data Models, Semantics, Query languages
Heterogeneous Networks and Web of Things
Software Defined Network (SDN) and IoT
Blockchain and Emerging Technologies for IoT
Smart Cities and Internet of Vehicles
Social Networks and Multimedia Computing
Security and Privacy for Intelligent IoT Models
Machine-to-Machine (M2M) Networks
Artificial Intelligence for IoT
Distributed Machine Learning for IoT
Industrial IoT and Cyber Physical Systems

Data Integration and Interoperability
Search and Information extraction
Data Privacy and Security
Multimodal Data Analysis
Data Classification and Regression
Deep learning for Big Data Analysis and Mining
Predictive Modeling and Analytics
Stream Data Processing
Big data Systems Modelling, Analysis, and Simulation
Data-driven Feature Learning and Pattern Recognition
Advanced Data Mining and Machine Learning Techniques
Workflows, Scientific Data Management
Big data and IoT Data Analytics
Control and Decision Making for Smart IoT
Mobile Cloud Computing (MCC) and IoT
Semantic Computing Technologies and IoT
Quality of Data/Service/Experience
Intelligent IoT Networks & Communications

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