National Level Symposium on Emerging Trends in AI and ML
Institution’s Innovation Council,
Kumaraguru College of Technology &
Internal Quality Assurance Cell
The Department of Computer Science and Engineering
Dr. S. J. Syed Ali Fathima,
Dr. S. Nithya Roopa,
Dr. P. Devaki
Date: 08th April 2022
Venue: MS Teams
ABOUT THE SYMPOSIUM
The Department of Computer Science and Engineering is organizing a National level symposium on Emerging Trends in AI and ML to bring together professionals, academic researchers and the teaching fraternity in view to present and discuss conceptual and experimental work.
The Symposium aims to provide a forum for eminent academicians, technologists, students and researchers to exchange their ideas on the latest developments and future trends in the field of Artificial Intelligence and Machine Learning.
It also provides a platform for UG and PG students to present their work based on their projects. The researchers and practitioners working on different aspects of AI and ML shall share their experiences, exchange new ideas for applying ML in various domains and throw light on the key emerging topics for future directions.
Authors are invited to submit papers describing original, previously unpublished work. Authors can submit regular or work-in-progress papers.
All Accepted and Presented papers will be published as book chapters with ISBN.
Research papers are invited on all aspects of Artificial Intelligence and Machine Learning, including but not limited to the following:
• Big Data Challenges
• Deep Learning for Big Data
• Data Analytics
• High Performance Computing
• Data Mining
• Database privacy and security Data Visualization and Data Exploration
• Deep Learning
• Neural Networks
• Computational Intelligence
• Evolutionary and Swarm Intelligence
• Natural Language Processing
• Software Engineering
• Speech Processing
• Automated Reasoning and Logic Programming
Work-in-progress, industry applications/experiences and position papers are also welcome. Each manuscript will be scrutinized and selected based on its originality, significance, technical quality, relevance and will be peer reviewed.