CALL FOR PAPERS

ICDCIT 2027

23rd International Conference on Distributed Computing and Intelligent Technology

January 08th - 11th, 2027

KIIT, Bhubaneswar, Odisha, India

Conference webpage: https://icdcit.kiit.ac.in/

Easy Chair link: https://easychair.org/conferences/?conf=icdcit27

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Important Dates:
Abstract Deadline: August 7, 2026 (AoE)
Full Paper Deadline: August 14, 2026 (AoE)
Paper Acceptance Notification: October 12, 2026
Camera-Ready Submission: October 23, 2026
Conference Dates: Jan 8-11, 2027
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Scope:

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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Special Issue:
Over the years, extended and revised versions of a few selected papers from the Distributed Computing track were published in a special issue of the international journal Theoretical Computer Science (TCS). This year too, we will take up such efforts for all three tracks of the conference. More details will be posted soon.
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Awards:
Recognition will be granted to the most outstanding regular paper and student paper. For a submission to qualify for the student award, it is required that at least one author maintains full-time student status during the submission period. We request that authors explicitly denote eligibility for this category (for instance, by employing the \thanks command within the title). The Program Committee reserves the right to divide the honors or refrain from presenting awards at their discretion.
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Paper Submission:

Papers are to be submitted electronically using the Easy Chair link (https://easychair.org/conferences/?conf=icdcit27) During the paper submission, you will be required to choose one of the three tracks: Distributed Computing, Intelligent Technology, or AI for Science. Please choose the track based on the topics mentioned above.
The submissions must contain original results that have not already been published and are not concurrently submitted to a journal or conference with published proceedings. By submitting a paper, the authors acknowledge that in case of acceptance at least one of the authors will register for ICDCIT 2027 and present the paper.

Submissions must be in the form of a single pdf file prepared using the LNCS latex templates and style files (Information for Authors of Springer Computer Science Proceedings). Springer's proceedings LaTeX templates are also available on Overleaf (Springer Lecture Notes in Computer Science - Overleaf, Online LaTeX Editor).
Each submission should consist of the main part of the paper, not exceeding 12 pages (including the title page and excluding the references), plus an optional clearly marked appendix (to be read at the discretion of the program committee). Any figure pertaining to the main part of the paper should be included therein (within the 12 page limit). The first page must include an indication of whether the paper is eligible for the best student paper award.

Anonymous submissions are required, with authors’ identities concealed throughout the paper. Names, addresses and affiliations must be omitted. Any references to related work should be in the third person (e.g., “The authors build on previous work…”).
Authors with additional inquiries regarding the double-blind review process are encouraged to contact the Program Committee chairs via email. They retain the freedom to share their work through platforms such as ArXiv and other online repositories and are welcome to deliver presentations on their research as customary.
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Steering Committee:
● Partha Sarathi Mandal, IIT Guwahati, India
● Sathya Peri, IIT Hyderabad, India
● Anisur Rahaman Molla, ISI, Kolkata, India
● Gokarna P. Sharma, Kent State University, USA

General Chairs:
● Kishore Kothapalli, IIIT Hyderabad, India

Program Chairs:
● Kaushik Mondal, IIT Ropar, India (DC Track)
● Sébastien Tixeuil, Sorbonne Université, France (DC Track)
● Sujit Gujar, IIIT Hyderabad (IT Track)
● Deepti R. Bathula, IIT Ropar, India (AI for Science Track)