WELCOME TO 2024 ICAIML
The Inaugural International Conference on Artificial Intelligence and Machine Learning (ICAIML'24) stands as a flagship event hosted by the School of Computer Science and Technology at KITS. Our primary aim is to foster innovation in AI and ML, specifically tailored to address the challenges and opportunities presented by Cyber Security, Big Data and Cloud Computing applications. ICAIML'24 serves as a pivotal platform for practitioners, developers, and users to engage in vibrant exchanges, showcasing their insights, methodologies, outcomes, and practical experiences. We welcome researchers actively involved in real-world projects, offering solutions that push the boundaries of contemporary Big Data and Cloud Computing technologies.
Over the past decade, the landscape of computing has undergone significant transformations, ushering in a wave of sophisticated innovations. With the advent of revolutionary paradigms like Cloud Computing, Big Data analytics, and other groundbreaking advancements, ICAIML'24 pledges to be a pinnacle forum for the dissemination of fresh perspectives, technology-centric discussions, groundbreaking research findings, and discourse on the evolutionary trajectory of computing.
Join us as we navigate the ever-evolving realm of Artificial Intelligence and Machine Learning, contributing to the advancement of both academic inquiry and industrial progress.
We invite researchers, students and industrialists with innovative ideas to submit their research findings.
Our previous publications:
THRUST AREAS OF CONFERENCE (But not limited to...)
Health Care
- Adaptive Modelling / Neuroscience
- AI for Assisted Living
- AI in Biomedical Applications
- Medical Image Analysis
- Clinical Decision Support Systems (CDSS)
- Predictive Analytics
- Remote Patient Monitoring
- Virtual Health Assistants
- Continuous Monitoring and Improvement
Internet of Things
- Data Security and Privacy
- Device Authentication and Authorization
- Predictive Maintenance
- Quality of Service (QoS) Optimization
- Energy Efficiency
- Real-time Analytics and Decision Making
- Interoperability and Standardization
- Anomaly Detection
- Optimized Resource Management
- Personalized User Experiences
- Cognitive IoT
- Edge Computing
Cyber Security
- Smart Blockchain Applications/Cybersecurity
- Behavioral Analysis
- Threat Intelligence and Information Sharing
- Vulnerability Assessment and Penetration Testing
- Malware Detection and Mitigation
- Security Analytics
- User Authentication and Access Control
- Privacy and Data Protection
- Cyber Threat Hunting
Big Data Analytics
- Natural Language Processing (NLP)
- Graph Analytics
- Stream Processing
- Feature Engineering and Dimensionality Reduction
- Transfer Learning
- Large Language Models (LLM)
- Automated Machine Learning (AutoML)
- Privacy-Preserving AI
- Explainable AI (XAI)
Computer Vision
- Deep Learning and Neural Networks
- Object Detection and Recognition
- Semantic Segmentation
- Instance Segmentation
- Generative Adversarial Networks (GANs)
- 3D Computer Vision
- Video Analysis and Action Recognition
- Domain Adaptation and Transfer Learning
- Robustness and Adversarial Defense
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