ICDCIT 2027 (International Conference on Distributed Computing and Intelligent Technology) is an academic conference held in Bhubaneswar, India on 2027-01-08. The paper submission deadline is 2026-08-28. Acceptance notifications are sent on 2026-10-12.
The International Conference on Distributed Computing and Intelligent Technology, from its inception (2004), provides a platform where researchers, educators, and practitioners can create, exchange, and synthesize their ideas and discuss the most recent innovations, trends, experiences, and challenges in the field of distributed computing and intelligent technology. The swift advancement and widespread integration of Artificial Intelligence across various fields of science and engineering have led to the inclusion of “intelligent technology” within the conference’s scope. These technologies are essential for individuals and organizations designing, developing, and deploying large-scale systems incorporating AI-based components and subsystems.
The forthcoming 23 rd International Conference on Distributed Computing and Intelligent Technology (ICDCIT-2027) is scheduled to convene in Bhubaneswar from 8 January to 11 January 2027. Hosted by the Kalinga Institute of Industrial Technology (KIIT) in Bhubaneswar, India, the event seeks to foster discussions and progress in the field. In keeping with tradition, Springer plans to publish the conference proceedings in the prestigious Lecture Notes in Computer Science series, as done in previous editions.
ICDCIT-2027 seeks original research papers that contribute to the foundations and applications of Distributed Computing, Intelligent Technology and AI for Science. The topics include, but are not limited to:
Distributed Computing
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
Intelligent Technologies
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
AI for Science
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
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