Discover the forefront of Data Science and Artificial Intelligence at CODE-AI 2024, hosted by Manipal Institute of Technology, (MIT-BLR). This dynamic international conference showcases the latest advancements and ethical considerations in these intertwined fields, offering unparalleled networking opportunities and cutting-edge research insights.

Themes for CODE:AI 2024

1. Data Science- Neural Networks, Deep Learning, Data Mining, Big Data Analytics, Explainable AI, Statistical Inference, Data Visualization
2. Industrial Application- Circuits, Reliability, and Fault Tolerance, Computer-Aided Design and Verification, Digital Circuits and FPGA based Designs, Emerging and Post-CMOS Technologies, System Design and Security, VLSI for Applied and Future Computing, Systems & Control
3. IoT, Security, Cloud Computing, Networks- Wireless Sensor Networks, Vehicular Communication Networks, 4G/5G/Next-generation Network Evolutions, Mobile and Wireless Communication, Optical communications, RF and microwave communications, Green Communications, IoT Architectures and protocols, QoS Management in IoT Networks, IoT in 5G Networks, Smart Grids and Microgrids, Cloud and IoT Networks, Information Theory and Coding, Cryptology, Blockchain technology, Security Protocols, Privacy-enhancing technologies, Viruses and Malware
4. Image, Video and Signal Processing- Signal processing, 2D/3D Object Detection and Recognition, Image and Video Analysis, Document Image Processing, Audio and Acoustic Processing, Image, Video Coding and Compression, Human-Computer Interaction, Digital Topology and Geometry, Biometrics, Multimedia Technologies
5. Computational Biology- DNA computing, Genetic algorithm, Artificial intelligence tools & applications, Knowledge discovery, Data mining, Knowledge management, Visual information processing, Artificial fish swarm algorithm, Hybrid intelligent algorithm, Simulated annealing algorithm, Particle swarm algorithm, Immune algorithm, Neural networks, Machine learning, Visual information processing, AI applied to the IoT (Internet of Things), Health big data, Intelligent manufacturing.
6. Computer and Information Technology- Mobile computing, and distributed systems; computer systems with a focus on architecture, parallel processing, and dependability; embedded systems; signal, image, and speech processing; software engineering; security and database systems; human-computer interaction; vision and graphics; programming languages; theory of computing; information systems; information technology; big data technologies and their applications; mobile information systems; web intelligence applications and search; the study of recent trends in information technology; computing in the context of the internet of things; leveraging machine learning for the internet of everything; and finally, information retrieval.