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

Memo

13th International Conference on Computer Science, Engineering and Information Technology (CSEIT 2026) July 16 ~ 17, 2026, London, United Kingdom https://cseit2026.org/index SCOPE 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 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 02, 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 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 International Journal of Computer Science & Information Technology (IJCSIT) – INSPEC Indexed International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) International Journal of Computer Science and Engineering Survey (IJCSES) International Journal of Information Technology Convergence and Services (IJITCS)Information Technology in Industry (ITII) Important Dates Submission Deadline :  May 02, 2026 Authors Notification : June 20, 2026 Registration & Camera-Ready Paper Due : June 27, 2026   Contact Us Here’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.