4th International Conference on Computer Science, Information Technology & AI (CSITAI 2026) at Melbourne, Australia

4^th International Conference on Computer Science,
Information Technology & AI (CSITAI 2026)

November
14 ~ 15, 2026, Melbourne, Australia

https://csitai2026.org/index

Scope & Topics

4th International
Conference on Computer Science, Information Technology & AI (CSITAI 2026) will
provide an excellent international forum for sharing knowledge and results in
theory methodology and applications of Computer Science Information Technology
and Artificial Intelligence. The Conference looks for significant contributions
to all major fields of the Computer Science Information Technology and AI in
theoretical and practical aspects. The aim of the conference is to provide a
platform to the researchers and practitioners from both academia as well as
industry to meet and share cutting-edge development in the field.

Authors are solicited to
contribute to the conference by submitting articles that illustrate research
results, projects, surveying works and industrial experiences that describe
significant advances in the following areas, but are not limited to.

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

·      
Artificial Intelligence

·      
Machine Learning

·      
Deep Learning

·      
Foundation Models and LLMs

·      
Small Language Models (SLMs)

·      
Mixture of Experts (MoE)

·      
Generative AI and Diffusion Models

·      
Self Supervised Learning

·      
AI Agents and Autonomous AI Systems

·      
LLM Reasoning and Planning

·      
Neuro Symbolic AI

·      
Synthetic Data and Simulation

·      
Information Retrieval and Neural Search

·      
Vector Databases and RAG

·      
Natural Language Processing

·      
Speech and Audio AI

·      
Computer Vision

·      
Multimodal AI

·      
Video Language Models

·      
3D Gaussian Splatting

·      
Embodied AI

·      
Vision Language Action Models

·      
High Performance Computing

·      
Distributed and Parallel Systems

·      
Cloud, Edge and Fog Computing

·      
Serverless Computing

·      
AI Native Operating Systems

·      
AI Infrastructure and Optimization

·      
Model Compression and Efficient Inference

·      
Memory Efficient Training

·      
Massive Scale Distributed Training

·      
GPU Scheduling and Orchestration

·      
Computer Architecture and Accelerators

·      
Neuromorphic Computing

·      
Quantum Computing and QML

·      
Digital Twins

·      
Cybersecurity

·      
LLM Security and Jailbreak Defense

·      
Adversarial Machine Learning

·      
Post Quantum Cryptography

·      
Privacy Enhancing Technologies

·      
Federated Learning

·      
Secure Multi Party Computation

·      
AI Driven Threat Intelligence

·      
Biometrics and Digital Forensics

·      
Blockchain and Decentralized Systems

·      
Networking and Communications

·      
6G and Programmable Networks

·      
AI Optimized Networks

·      
Network Digital Twins

·      
Internet of Things

·      
Cyber Physical Systems

·      
Ubiquitous and Context Aware Computing

·      
Smart Cities, Geospatial AI

·      
Robotics, Robotics Foundation Models

·      
Robot Learning

·      
Imitation Learning

·      
Sim to Real Transfer

·      
Autonomous Vehicles, Autonomous Drone
Systems

·      
Brain–Computer Interfaces

·      
Human–AI Interaction

·      
Databases and Data Mining

·      
Knowledge Graphs

·      
Intelligent Information Systems

·      
Web Scale and Decentralized Web

·      
Computer Graphics, Multimedia Systems

·      
Image, Signal and Pattern Processing

·      
Game Engineering

·      
Algorithms and Bioinformatics

·      
Theoretical Computer Science

·      
Differentiable Programming

·      
Theory of LLMs

·      
Optimization for Large Scale AI

·      
Programming Languages and Compilers

·      
Modeling and Simulation

·      
AI for Healthcare, Climate, Science

·      
AI for Law and Governance, Finance

·      
Computational Sustainability and Social
Science

·      
Digital Transformation

Paper Submission

Authors are invited to
submit papers through the conference Submission System
by September 12, 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
in Computer Science &
Information Technology (CS & IT) series (Confirmed).

Selected papers from CSITAI
2026, after further revisions, will be published in the special issues of
the following journals

·      
Advanced
Computing: An International Journal (ACIJ)

·      
International
Journal of Distributed and Parallel systems (IJDPS)

·      
International
Journal of Computer Science Engineering and Applications (IJCSEA)

·      
International
Journal of Advanced Information Technology (IJAIT)

·      
International
Journal of Software Engineering & Applications (IJSEA)

·      
Information Technology in Industry (ITII)

Important Dates;

·      
Submission
Deadline : September 12, 2026

·      
Authors Notification : October 17, 2026

·      
Registration & Camera-Ready Paper Due
: October 24, 2026

Contact Us

Here's where you can
reach us : [email protected]  (or) [email protected]

Submission URL; https://csitai2026.org/submission/index.php