Conference Information

CSTY 2026: International Conference on Computer Science and Information Technology

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Submission Date:
2026-08-14
Notification Date:
2026-10-10
Conference Date:
2026-12-26
Location:
Dubai, UAE
Years:
Viewed: 14748   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

50.9 / 100
Ranked #1,332 of 5,650 conferences · Top 24%
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
69
Community attention (10%)
13
Public record completeness (15%)
55

Inputs used: Editions on record: 12 · Researchers who opened this page in the past 24 months: 5

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

CSTY 2026 (International Conference on Computer Science and Information Technology) is an academic conference held in Dubai, UAE on 2026-12-26. The paper submission deadline is 2026-08-14. Acceptance notifications are sent on 2026-10-10.

SCOPE 12th International Conference on Computer Science and Information Technology (CSTY 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Computer Science, Engineering and Information Technology. The conference looks for significant contributions to all major fields of the Computer Science, Engineering and Information Technology in theoretical and practical aspects. CSTY 2026 welcomes significant contributions that advance theory, methodology, and engineering practice and real world applications across all major domains of modern computing. Authors are invited to submit high quality research articles, experimental studies, survey papers and industrial case studies that highlight progress in areas such as machine learning, generative AI, multimodal intelligence, distributed systems, quantum computing, graph machine learning, health informatics, AI security, software engineering and sustainable computing. Authors are solicited to contribute to the conference by submitting manuscripts that present research results, innovative projects, surveying works and industrial experiences describing significant advances in the diverse and rapidly expanding fields of Computer Science, Engineering and Information Technology. Topics of interest Adversarial Machine Learning Agentic AI and Autonomous LLM Agents AI Augmented Software Engineering AI for Code and Program Synthesis AI Hardware and Neuromorphic Computing AI Policy, Governance and Regulation AI Systems, Optimization and Model Serving Algorithms and Complexity Theory Autonomous Systems and Robotics Big Data and Distributed Data Systems Bioinformatics and Computational Biology Climate Informatics and Environmental AI Computational Social Science Computer Vision Cryptography and Secure Computation Cyber Physical Systems Cybersecurity, Privacy and Trust Data Mining and Knowledge Discovery Deep Learning and Foundation Models Digital Health Twins Distributed Systems and Cloud Computing Edge, Fog and IoT Computing Extended Reality (XR), AR/VR and Spatial Computing Generative AI and Diffusion Models Graph ML and Graph Foundation Models Green AI and Sustainable Computing Health Informatics and Medical AI Human AI Collaboration Human Computer Interaction Information Retrieval and Neural Search LLM Security and Jailbreak Defense Machine Learning and Applications Model Compression and Efficient Inference Multimodal AI and Vision Language Models Natural Language Processing Next‑Gen Networking (SDN, NFV, 5G/6G, NTN) Quantum Computing Retrieval Augmented Generation (RAG) Software Engineering and DevOps Space Computing and Satellite AI Streaming Data Systems Vector Databases and Embedding Stores AI Safety, Alignment and Responsible AI
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