22nd International Conference on Distributed Computing and Intelligent Technology
January 16th – 19th, 2026
Kalinga Institute of Industrial Technology
Deemed to be University, Bhubaneswar, Odisha, India
Call for Papers
The International Conference on Distributed Computing and Intelligent Technology, from its inception (2004), provides a platform where researchers, educators, and partitioners 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 22nd International Conference on Distributed Computing and Intelligent Technology (ICDCIT-2026) is scheduled to convene in Bhubaneswar from 16 January to 19 January 2026. 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.
Important Dates
Abstract Submission, Anywhere on Earth(AoE)
August 30, 2025
August 8, 2025
Submission of full papers (AoE)
August 30, 2025
August 15, 2025
Paper acceptance notification to authors
October 15, 2025
Final camera-ready paper submission due
October 22, 2025
Conference Date : January 16th – 19th, 2026
ICDCIT-2026 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
- Autonomous Computing, Self- organization and Self- stabilization
- Blockchain & Its Applications
- Cloud and Edge Computing
- Distributed and Cloud Storage
- Distributed and Concurrent Data Structures
- Distributed Auctions Algorithms
- Distributed Graph Algorithms
- Distributed Machine Learning Algorithms
- Distributed Operating Systems, Middleware, Databases
- Fault-tolerant Algorithms
- Federated Learning
- Game-Theoretic Approaches to Distributed Computing
- High-Performance, Cluster and Grid Computing and IoT Systems
- Memory Management
- Mobile Robots, Autonomous Agents, Programmable Particles, Nanoscale Robots, Biological Systems
- Multi-Agent Systems
- Parallel Multiprocessor and Multi-Core Architectures and Algorithms
- Peer-to-Peer Systems, Overlay Networks
- Replication and consistency
- Security in Distributed computing, Cryptographic Protocols
- WSN, Mesh and ad hoc networks
Intelligent Technologies
- Affective Computing
- AI and Formal Verification
- AI planning
- Authenticity, Honesty & Deception
- Automated Vehicles
- Business Analytics
- Computational Intelligence
- Cyber-Physical Systems
- Deep Learning
- Engineering Intelligent Systems
- Ethics and AI
- Explainability in AI
- Federated Learning
- Health Care Systems
- Intelligent Manufacturing
- Intelligent Transport Systems
- Knowledge Management
- Knowledge Representation
- Machine Learning
- Machine Vision
- Meta Learning
- 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
- Constraint Satisfaction Problems
- Supply chain optimization
AI for Science
- Retrosynthesis prediction and reaction modeling
- Virtual screening
- ADMET prediction (Absorption, distribution, metabolism, excretion, and toxicity prediction)
- Drug-like properties prediction (Binding affinity and binding specificity)
- Druggability prediction
- Amyloidogenicity prediction
- Allergenicity prediction
- Toxicity prediction
- Solubility prediction
- Membrane Permeability and BBB Permeability Prediction
- Protein and peptide structure prediction
- Polymorph prediction and crystal structure prediction
- Biomarker discovery
- Protein and peptide folding time prediction
- Drug discovery
- Drug repurposing
- Medical image (fMRI, CT, X-ray, and PET images) based disease classification
- LLMs for genomic analysis
- LLM-based molecule generation
- Generative AI for organics and peptide design
- AI models for thermal stability prediction
- Electronic health record (EHR) analysis
- Drug pricing optimization
- Binding pose prediction in protein-ligand complex structures
- AI models for serum stability (half-life) of peptides
- AI models for carcinogenicity prediction
- AI models for genotoxicity prediction
- AI based force-field development
- Physics-informed machine learning
- Artificial Intelligence in High Energy and Nuclear Physics
- AI in crop science and agriculture
- Precision harvesting with AI
- AI for climate modeling and weather prediction
- AI-based satellite imagery analysis
Special Issue
Extended and revised versions of selected papers from the Distributed Computing track will be taken into consideration for inclusion in a special issue of the international journal Theoretical Computer Science (TCS).
Paper Submission
Authors are cordially invited to electronically submit their papers in English, adhering to the LNCS format, with a maximum length of 16 pages. Submissions should encompass unpublished research findings or inventive practical applications, ensuring the novelty of the work and its non-submission elsewhere. All submissions are to be made electronically, and the submitted papers will undergo a thorough peer-review process for potential inclusion in the conference proceedings. The proceedings are anticipated to be published by Springer-Verlag as a volume in the Lecture Notes in Computer Science.
Note
During the paper submission (on the easy chair link given below), you will be required to choose one of the three tracks: Distributed Computing or Intelligent Technology or AI for Science. Please choose the track based on the topics mentioned above.
Anonymous Submissions (Double Blind Review)
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…”). This approach aids PC members and external reviewers in forming an unbiased initial judgment. The intention is not to prevent the discovery of authors but to allow an unbiased assessment.
The conference’s double-blind review process is designed to mitigate bias. However, measures taken to ensure anonymity should not compromise the quality of submissions or burden reviewers unnecessarily. Specifically, vital references must not be omitted or anonymized.
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.
Format for paper preparation:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
At least one of the authors of each accepted paper must register for the conference and present the paper in person at the conference.
Papers are to be submitted through the Easychair: https://easychair.org/conferences/?conf=icdcit26
Conference Committee
Chief Patron
Achyuta Samanta, KIIT, India
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
Advisory Committee
Saranjit Singh, KIIT, India
D.N.Dwivedy, KIIT, India
Jnyana Ranjan Mohanty, KIIT, India
Raj Bhatnagar, University of Cincinnati, USA
Rajkumar Buyya, University of Melbourne
Diganta Goswami, IIT Guwahati, India
Biswajit Sahoo, KIIT, India
Samresh Mishra, KIIT, India
Stéphane Devismes, University of
Picardie Jules Verne, France
Krishendu Mukhopadhyay, ISI Kolkata, India
General Chairs
Prof. Bapi Chatterjee, IIIT Delhi, India
Prof. Neeraj Mittal, University of Texas, Dallas
Program Chairs
Kishore Kothapalli, IIIT Hyderabad (DC Track)
Dinesh Singh, IIT Mandi India (IT Track)
N Arul Murugan, IIIT Delhi, India (AI/ML for Science Track)
Conference Management Chair
Bindu Agarwalla, KIIT, India
Organizing Chair
Satarupa Mohanty, KIIT, India
Finance Chairs
Arup Abhina Acharya, KIIT, India
Hrudaya Kumar Tripathy, KIIT, India
Publicity Chairs
Lipika Mohanty,KIIT, India
Jyoti Prakash Meher,KIIT, India
Registration Chairs
Junali Jasmine Jena,KIIT, India
Jagannath Singh,KIIT, India
Session Management Chairs
Prasenjeet Maity,KIIT, India
Adyasha Dash,KIIT, India
Namita Panda,KIIT, India
Publications Chairs
Santwana Sagnika,KIIT, India
Ramakanta Parida,KIIT, India
Student Symposium Chairs
Anjan Bandyopadhyay,KIIT, India
Suneeta Mohanty,KIIT, India
Industry Symposium Chairs
Krishna Chakravarty,KIIT, India
Prachet Bhuyan,KIIT, India
Roshni Pradhan,KIIT, India
Project Innovation Chairs
Kunal Anand,KIIT, India
Ajit Kumar Pasayat,KIIT, India
Saurabh Bilgaiyan, KIIT, India
Workshop Chairs
Sushruta Mishra,KIIT, India
Manas Ranjan Lenka,KIIT, India
Abhaya Kumar Sahoo,KIIT, India
Ph.D Symposium Chairs
Himansu Das,KIIT, India
Hrudaya Kumar Tripathy,KIIT, India
Hackathon Chairs
Abhishek Ray,KIIT, India
Utpal Dey,KIIT, India
Bhaswati Sahoo,KIIT, India
Pradeep Kumar Mallick,KIIT, India