Artificial Intelligence, Machine Learning and Data Science
• Machine Learning, Deep Learning and Representation Learning
• Foundation Models and Large Language Models (LLMs)
• Multimodal AI (Vision–Language, Speech–Language, Multisensory AI)
• Generative AI (Diffusion Models, GANs, Text to X Systems)
• AI Agents, Autonomous AI Systems and Tool Using AI
• Reinforcement Learning, Multi Agent Systems and Decision Making
• Neuro Symbolic AI, Reasoning and Logical Inference
• Graph Machine Learning and Network Science
• Data Centric AI, Data Quality, Labeling and Synthetic Data
• Federated Learning, Edge AI and On Device ML
• Efficient AI: Quantization, Distillation, Sparse Models and Low Rank Adaptation
• Explainable, Trustworthy, Robust and Responsible AI
• AI Safety, Alignment, Red Teaming and Governance
• AI for Science, Healthcare, Climate, Materials and Chemistry
Natural Language Processing and Speech Technologies
• Natural Language Understanding and Generation
• Retrieval Augmented Generation (RAG) and Prompt Engineering
• LLM Evaluation, Safety, Jailbreak Detection and Alignment
• Multilingual, Low Resource and Cross Lingual NLP
• Information Retrieval, Search and Question Answering
• Speech Recognition, Synthesis and Spoken Dialogue Systems
• Computational Linguistics and Language Modeling
Computer Vision, Graphics and Immersive Technologies
• Image Processing, Pattern Recognition and Object Detection
• 3D Vision, Scene Understanding and Reconstruction
• Vision Transformers and Diffusion Models for Vision
• AR/VR/MR, Digital Twins and Immersive Environments
• Graphics, Rendering, Simulation and Animation
• Synthetic Data Generation and Data Centric Vision
• Embodied Vision and Perception for Robotics
Systems, Architecture and High Performance Computing
• Computer Architecture, Accelerators (GPU/TPU/NPU) and Heterogeneous Computing
• AI Native Operating Systems and AI First Infrastructure
• Parallel, Distributed and High Performance Computing
• Distributed Training for Large Scale Models
• Cloud, Edge, Fog and Serverless Computing
• Operating Systems, Virtualization and Containerization
• AI Systems, ML Infrastructure and Model Serving
• Energy Efficient, Sustainable and Carbon Aware Computing
• Real Time, Embedded and Cyber Physical Systems
Networking, Communications and Cyber Physical Systems
• Computer Networks, Protocols and Internet Architecture
• AI Driven Networking and Autonomous Network Control
• In Network Computing, SmartNICs and P4/eBPF Acceleration
• 5G/6G, Non Terrestrial Networks and Satellite Internet
• IoT, Ubiquitous Computing and Smart Environments
• Networked AI Systems and Distributed Intelligence
• Network Digital Twins and Large Scale Network Simulation
Security, Privacy and Cryptography
• Cybersecurity, Threat Detection and Malware Analysis
• LLM Security: Prompt Injection, Model Extraction and Data Poisoning
• AI Generated Threats: Deepfakes, Synthetic Identities and Automated Attacks
• Cryptography, Post Quantum Cryptography and Secure Protocols
• Blockchain, Distributed Ledgers and Web3 Security
• Privacy Preserving Computation (MPC, HE, Differential Privacy, FL)
• Secure ML Pipelines and Supply Chain Security
• Secure Hardware, TEEs and Side Channel Defenses
• Identity, Access Control and Trust Management
Software Engineering, Programming Languages and DevOps
• Software Engineering Methods, Tools and Processes
• AI Augmented Software Development (Code Agents, Program Repair, Debugging)
• Software Engineering for ML Systems (MLOps, ModelOps)
• Programming Languages, Compilers and Runtime Systems
• Software Testing, Verification and Validation
• Requirements Engineering, Architecture and Design
• Empirical Software Engineering and Developer Productivity
Databases, Data Engineering and Knowledge Technologies
• Database Systems, Query Processing and Optimization
• Distributed Databases, NoSQL/NewSQL and Cloud Native Data Systems
• Vector Databases, Embedding Stores and AI Native Data Systems
• Data Lakehouse Architectures and Unified Batch/Streaming
• Streaming Data Systems and Real Time Analytics
• Learned Indexes and ML Enhanced Query Optimization
• Knowledge Graphs, Semantic Web and Ontologies
• Data Governance, Quality, Lineage and Versioning
• Intelligent Information Systems and Information Retrieval
Human–Computer Interaction and User Experience
• Human–AI Interaction, Co Creation and AI Assisted Workflows
• AI Mediated Communication and Digital Humans
• User Experience, Interaction Design and Usability
• Assistive Technologies and Accessibility
• Social Computing, Digital Behavior and Computational Social Science
• Ethics, Societal Impacts and Responsible Technology
Modeling, Simulation and Theoretical Foundations
• Algorithms, Complexity Theory and Theoretical Computer Science
• Formal Methods, Verification and Model Checking
• Modeling and Simulation of Complex Systems
• Digital Twins, Agent Based Modeling and Computational Modeling
• Mathematical Foundations of Computing
Emerging Technologies and Interdisciplinary Computing
• Quantum Computing, Quantum Algorithms and Quantum Machine Learning
• Neuromorphic Computing and Brain Inspired Systems
• Robotics, Autonomous Vehicles and Intelligent Control
• Spatial Computing, Geospatial AI and GIS
• Bioinformatics, Computational Biology and Synthetic Biology
• Sustainable Computing, Green IT and Climate Tech
• Space Computing, Autonomous Space Systems and On Orbit AI

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.