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CSEIT 2026 : 13th International Conference on Computer Science, Engineering and Information Technology

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Link: https://cseit2026.org/index
 
When Jul 16, 2026 - Jul 17, 2026
Where London, United Kingdom
Submission Deadline May 23, 2026
Notification Due Jun 20, 2026
Final Version Due Jun 27, 2026
Categories    computer science   engineering   information technology   artificial intelligence
 

Call For Papers

13th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2026)

July 16 ~ 17, 2026, London, United Kingdom

Hybrid -- Registered authors can present their work online or face to face.

Scope & Topics

The 13th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2026) serves as a premier international forum for researchers, practitioners, and industry professionals to present and discuss the latest innovations, trends, and challenges across the broad spectrum of computing. As the fields of Computer Science, Engineering, and Information Technology continue to evolve at an unprecedented pace, CSEIT 2026 aims to foster collaboration, inspire new ideas, and showcase cutting edge developments that are shaping the future of technology.

The conference welcomes significant contributions that advance theoretical foundations, propose novel methodologies, or demonstrate impactful applications. CSEIT 2026 encourages participation from both academia and industry, providing a dynamic platform where emerging researchers, seasoned experts, and technology leaders can exchange insights, share experiences, and explore new research directions .

Authors are invited to submit original research articles, case studies, survey papers, and industrial experiences that highlight meaningful progress and breakthroughs. Submissions may address any of the conference themes, including—but not limited to—the following areas:

Topics of interest include, but are not limited to, the following.

    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

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 23, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CSEIT 2026, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: May 23, 2026
Authors Notification: June 20, 2026
Final Manuscript Due: June 27, 2026

Co - Located Event

Invited Talk

  • Prof. Natarajan Meghanathan, Jackson State University, USA

Speakers

  • Praveen Ravula, USA

JFP Speakers

CSEIT 2026: PCM Membership and Invited Talk Proposals

PCMs of all previous editions, as well as authors of the CSEIT series since CSEIT 2009, are welcome to join the PCM of this edition.
Proposals for invited talks are welcome from distinguished professors and researchers in the field of Networks and Communications.
Proposals can be submitted to cseit@cseit2026.org

Journal First Papers - 13th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2026)

July 16 ~ 17, 2026, London, United Kingdom

Call for Contributions

Through CSEIT’s journal-first initiative, authors of journal-first papers accepted in the following journals are invited to present their research work to the wider audiences. It is providing an opportunity for the authors to engage directly with the conference authors and offering an additional dimension to the research track program.

Scope

  • The article is in the scope of the conference.
  • The paper has not been presented at, and is not under consideration for, journal-first programs of other conferences.
  • Extended version of conference articles, survey articles will not be considered to this track.
  • The associated journal paper needs to have been accepted in the last 12 months period.

Important Dates

  • Submission Deadline : May 23, 2026
  • Authors Notification : June 20, 2026

The journal-first manuscripts will not be part of the CSEIT conference proceedings.

Here's where you can reach us : cseit@cseit2026.org

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