Call for Papers
International Conference on Intelligent Technologies
The International Conference on Intelligent Technologies invites researchers, academicians, scientists, industry professionals, scholars, and students to contribute their innovative research papers and ideas in the fields of Artificial Intelligence, Machine Learning, Blockchain, Data Science, Deep Learning, and Emerging Technologies. The conference aims to provide a global platform for sharing knowledge, discussing technological advancements, and promoting collaborative research among academia and industry.
KALINGACONF 2026 will be hosted by S.J.M. Institute of Technology, an institution committed to academic excellence, innovation, research, and technological development. The conference will feature keynote sessions, technical paper presentations, workshops, and discussions on current trends and future challenges in intelligent technologies.
Track 1: Artificial Intelligence, Machine Learning, Blockchain, and Cybersecurity
- Artificial Intelligence in Healthcare and Telemedicine
- Machine Learning Applications for Smart Cities
- AI in Agriculture and Food Security
- Ethical AI and Responsible Technology
- AI for Disaster Management and Mitigation
- Blockchain Technologies in Financial Services and FinTech
- Cybersecurity for Critical Infrastructure
- Blockchain for Supply Chain and Logistics Management
- Digital Identity, Privacy, and Secure Authentication
- Intelligent Systems and Smart Automation
Track 2: Data Science and Digital Transformation
- Data-Driven Decision Making and Analytics
- Big Data Applications in Healthcare and Genomics
- Predictive Analytics for Environmental Sustainability
- Data Privacy, Security, and Ethical Challenges
- Digital Transformation in Education and E-Learning
- IT Solutions for Smart Healthcare Management
- Cloud Computing and Virtualization Technologies
- Business Intelligence and Data Visualization
- Smart Governance and Digital Public Services
- Emerging Trends in Data Science and Computing
Track 3: AI & ML on Deep Learning and Neural Networks
- Advances in Neural Network Architectures
- Natural Language Processing and Large Language Models
- Computer Vision and Image Processing
- Generative AI Models and Creativity Applications
- Optimization and Efficient Deep Learning Techniques
- Deep Learning Applications in Industrial Systems
- Edge AI and Mobile Intelligent Systems
- Explainable and Responsible Deep Learning
- Self-Supervised and Reinforcement Learning
- Security, Reliability, and Robustness in Deep Learning Systems
Conference Research Areas and Technical Tracks
- Artificial Intelligence and Machine Learning
- Big Data Analytics and Data Science
- Deep Learning and Neural Networks
- Cloud, Cluster, and Grid Computing
- Internet of Things (IoT) and Smart Systems
- Cyber Security and Information Assurance
- Communication and Networking Technologies
- Data Mining and Knowledge Discovery
- Image, Video, and Multimedia Signal Processing
- Pattern Recognition and Intelligent Object Tracking
- Natural Language Processing and Computer Vision
- Wireless Communication and Mobile Computing
- Antennas, Propagation, and Computational Electromagnetics
- RF and Millimeter-Wave Circuits and Systems
- Embedded Systems and VLSI Design
- Analog and Mixed Signal Integrated Circuits
- MEMS and Semiconductor Sensor Technologies
- Power Electronics and Energy Systems
- Intelligent Automation and Robotics
- Smart Healthcare and Digital Transformation Technologies