Foundations of Distributed Computing

• Distributed algorithms, lower bounds, and complexity
• Fault tolerance, self-stabilization, and resilience
• Consistency models, replication, and formal guarantees
• Distributed data structures and concurrency
• Game-theoretic and economic aspects of distributed systems

Systems and Infrastructure

• Cloud, edge, and serverless computing
• Distributed storage, databases, and data platforms
• Distributed operating systems and middleware
• High-performance and heterogeneous distributed systems
• Observability, debugging, and testing of distributed systems
• Real-time and streaming distributed systems

Cross-Cutting and Emerging Areas

• Distributed machine learning and AI systems
• Federated and privacy-preserving learning
• Blockchain and decentralized systems
• Security, privacy, and trust in distributed environments
• Multi-agent and autonomous distributed systems
• Geo-distributed and edge-to-cloud systems
• Sustainable and energy-efficient distributed computing

• Affective Computing
• AI and Formal Verification
• AI planning
• AI in Supply Chain Optimization
• Authenticity, Honesty & Deception
• Automated Vehicles
• Business Analytics
• Computational Intelligence
• Constraint Satisfaction Problems
• Cyber-Physical Systems
• Deep Learning
• Engineering Intelligent Systems
• Ethic in AI — Bias mitigation, Fairness
• Explainability in AI
• Federated Learning
• Game Theory and Mechanism Design
• Health Care Systems
• Intelligent Manufacturing
• Intelligent Transport Systems
• Knowledge Management
• Knowledge Representation
• Machine Learning
• Machine Vision
• Meta Learning
• Multi-agent systems
• Natural Language Processing
• Neuro-symbolic Computing
• Profiling and Social Networking
• Recommendation Systems
• Reinforcement Learning
• Robotics
• Security Systems
• Sentiment Analysis
• Social Memory & Cognition
• Society of Apps
• Speech Technologies
• Topic Detection
• Trustworthy computing

Drug discovery & cheminformatics

• Retrosynthesis prediction & reaction modeling
• Virtual screening & ADMET prediction
• Druggability & binding affinity prediction
• Drug repurposing & discovery
• Solubility, permeability & polymorph prediction
• Thermal stability & toxicity prediction
• Generative AI for molecular, organic & peptide design

Protein, genomics & structural biology

• Protein & RNA structure prediction and de novo design
• Protein-ligand binding & stability prediction
• Biomarker & carcinogenicity/genotoxicity prediction
• LLMs for genomic & peptide analysis
• Multi-omics data integration & Digital twins at cellular scale

Medical and clinical AI

• Medical image analysis (fMRI, CT, X-ray, PET)
• EHR analysis & drug pricing optimization

Physics, materials & earth sciences

• AI in high-energy & nuclear physics
• Physics-informed ML & neural operators
• Neural force fields & molecular dynamics
• AI for materials discovery & design
• AI for astrophysics & cosmological simulation
• AI for Earth system & climate/weather modeling
• AI for environmental & ecological monitoring

Agriculture & remote sensing

• Precision agriculture, crop genomics & food security
• Satellite imagery analysis & remote sensing

Foundation models, autonomous discovery & trustworthiness

• Scientific foundation models & SciLLMs
• Autonomous experimentation & lab-in-the-loop AI
• AI agents for hypothesis generation & verification
• Active learning & synthetic data for data-scarce science
• Benchmarking, reproducibility & responsible AI for science