13th International Conference on Computer Science and Engineering (CSEN 2026)

Scope & Topics

13^th International Conference on Computer Science and Engineering (CSEN 2026) offers a premier international platform for presenting and exchanging the latest advances in the theory, methodologies and applications of modern computing. As the fields of Computer Science and Computer Engineering continue to evolve at an unprecedented pace, driven by breakthroughs in artificial intelligence, large‑scale systems, data‑centric computing and emerging technologies, CSEN 2026 aims to bring together leading researchers, practitioners and industry innovators to explore these developments and foster new collaborations.

The conference seeks to highlight both foundational research and cutting‑edge innovations that are shaping the future of computing. By uniting experts from academia and industry, CSEN 2026 encourages the exchange of ideas, the formation of interdisciplinary partnerships and the advancement of knowledge across the full spectrum of computer science and engineering.

Authors are invited to submit original research papers, state‑of‑the‑art surveys, industrial case studies and innovative project results that demonstrate significant contributions to the discipline. Submissions may address any of the topics listed below, which represent a comprehensive and forward‑looking view of the most impactful and emerging areas in Computer Science and Computer Engineering. but are not limited to them.

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

Artificial Intelligence, Machine Learning and Data Centric Computing

Machine Learning and Applications
Deep Learning and Representation Learning
Generative AI and Foundation Models (LLMs, VLMs, Diffusion Models)
Retrieval Augmented Generation (RAG) and Tool Augmented LLMs
Reinforcement Learning and Multi Agent Learning
Continual, Lifelong and Online Learning
Causal Machine Learning and Causal Inference
Trustworthy, Explainable and Responsible AI
AI Safety, Alignment and Governance
Adversarial and Robust Machine Learning
Data Centric AI (data quality, labeling, curation, validation)
Synthetic Data Generation and Evaluation
Automated Machine Learning (AutoML)
AI for Science, Healthcare, Finance, Climate and Industry

Natural Language, Speech, Vision and Multimodal Intelligence

Natural Language Processing (NLP)
Large Language Models (LLMs) and Prompt Engineering
Speech and Audio Processing
Computer Vision and Pattern Recognition
Multimodal AI (vision language, audio text, sensor fusion)
Document Intelligence and Information Extraction
Generative Media (AI generated images, video, audio, 3D)

Algorithms, Theory and Quantum Computing

Algorithms and Computation Theory
Approximation, Randomized and Online Algorithms
Computational Complexity
Graph Algorithms and Network Science
Quantum Algorithms and Quantum Computing
Quantum Machine Learning
Bio Inspired and Evolutionary Computation

Systems, Architecture and High Performance Computing

Computer Architecture and Microarchitecture
High Performance Computing (HPC)
Parallel and Distributed Systems
Cloud, Edge and Fog Computing
Serverless Computing and Function as a Service
Operating Systems and Virtualization
Storage Systems and File Systems
Energy Efficient and Green Computing
Systems for AI/ML Training and Inference (GPU/TPU optimization, scheduling)
AI Optimized Compilers and Accelerator Programming (MLIR, TVM, Triton)
Hardware Software Co Design for AI Accelerators

Networks, Communication and Cyber Physical Systems

Data Communication and Computer Networks
Software Defined Networking (SDN) and Network Function Virtualization (NFV)
Wireless, Mobile and 5G/6G Networks
Edge Intelligence and Edge Native AI
Internet of Things (IoT) and Smart Devices
Cyber Physical Systems (CPS)
Network Measurement, Monitoring and Performance Engineering
Intelligent Networking and Network Automation

Security, Privacy and Cryptography

Cryptography and Information Security
Cybersecurity Engineering
Privacy Preserving Computation (MPC, Homomorphic Encryption, Differential Privacy)
Federated Learning Security and Privacy
Blockchain and Distributed Ledger Technologies
Security of AI/ML Systems
Adversarial Attacks and Defenses
Data Poisoning, Model Stealing and Secure ML Pipelines
Autonomous Cybersecurity (AI driven threat detection, self healing systems)
Trust Management and Access Control

Databases, Data Management and Information Retrieval

Database Management Systems
Big Data Storage, Processing and Query Optimization
Distributed Databases and Cloud Data Platforms
Information Retrieval and Search Systems
Recommender Systems and Personalization
Data Integration, Cleaning and Provenance
Data Governance, Quality and Compliance
Knowledge Graphs and Semantic Data Management

Software Engineering, Programming Languages and DevOps

Software Engineering Foundations and Methods
Software Architecture and Design
Software Testing, Verification and Validation
DevOps, CI/CD and Software Automation
Programming Languages, Compilers and Runtime Systems
AI Assisted Software Development (code generation, repair, agents)
Evaluation and Benchmarking of AI for Code Tools
Software Engineering for AI/ML Systems
Empirical Software Engineering
Software Maintenance, Evolution and Refactoring

Human Centered Computing, Accessibility and Interactive Systems

Human Computer Interaction (HCI)
Accessible and Inclusive Computing
User Experience (UX) and Usability Engineering
Intelligent User Interfaces
Virtual, Augmented and Mixed Reality (VR/AR/MR)
Social Computing and Digital Well Being
Human AI Collaboration and Productivity

Graphics, Multimedia and Digital Content Technologies

Computer Graphics and Animation
Multimedia Systems and Applications
Image, Video and Signal Processing
Generative Media and Creative AI
Visualization and Visual Computing

Embedded Systems, Robotics and Autonomous Systems

Embedded and Real Time Systems
Robotics and Autonomous Systems
Control Systems and Automation
Hardware Software Co Design
Sensor Networks and Smart Devices
Autonomous Vehicles and Drone Systems

Bioinformatics, Health Informatics and Computational Biology

Bioinformatics Algorithms and Tools
Computational Genomics and Proteomics
Health Informatics and Medical Data Analytics
AI for Healthcare and Precision Medicine

Modeling, Simulation and Scientific Computing

Simulation and Modeling
Computational Science and Engineering
Digital Twins and Simulation Driven Systems
Numerical Methods and Scientific Algorithms

Web, Internet and Emerging Computing Paradigms

Web Technologies and Web Scale Systems
API Ecosystems and Cloud Native Web Services
Electronic Commerce and Digital Platforms
Ubiquitous and Pervasive Computing
Web3, Decentralized Applications and Smart Contracts
Neuromorphic and Bio Inspired Computing
Emerging Computing Paradigms (DNA computing, molecular computing)

13^th International Conference on Computer Science and Engineering (CSEN 2026)

August 22 ~ 23, 2026, Dubai, UAE

Scope & Topics

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

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