Conference Information

ICACS 2026: International Conference on Algorithms, Computing and Systems

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Submission Date:
2026-10-15 Due in 3 days Extended
Notification Date:
2026-11-15
Conference Date:
2026-12-18
Location:
Phuket, Thailand
Years:
10
Organizer:
Add to calendar: Google Calendar · Outlook / Apple (.ics)
Viewed: 18877   Tracked: 13   Attend: 2
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ICACS
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Conference Partner Index (CP-I)

49.9 / 100
Ranked #1,643 of 5,697 conferences · Top 29%

#69 of 142 in Theory & Algorithms

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%)
65
Community attention (10%)
43
Public record completeness (15%)
35

Inputs used: Editions on record: 10 · Researchers following it here: 13 · Researchers who opened this page in the past 24 months: 9

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · 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 2026-10-12

Call For Papers

ICACS 2026 (International Conference on Algorithms, Computing and Systems) is an academic conference held in Phuket, Thailand on 2026-12-18. The paper submission deadline is 2026-10-15 (extended). Acceptance notifications are sent on 2026-11-15.

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of algorithms, computing and systems including, but not limited to Track 1: Algorithms and Complexity ▪ Design and analysis of algorithms ▪ Randomized and approximation algorithms ▪ Parallel and distributed algorithms ▪ Computational complexity and lower bounds ▪ Quantum algorithms and complexity ▪ Algorithmic game theory and mechanism design ▪ Optimization algorithms for machine learning ▪ Online learning and reinforcement learning algorithms ▪ Federated learning and privacy-preserving algorithms ▪ Graph algorithms and network flows ▪ Combinatorial optimization and integer programming ▪ Dynamic programming and greedy algorithms ▪ Streaming algorithms and sublinear algorithms ▪ Computational geometry and topology ▪ Bioinformatics algorithms and computational biology ▪ Cryptographic algorithms and protocols ▪ Approximation and online algorithms for scheduling Track 2: Computing Technologies ▪ High-performance computing and supercomputing ▪ Cloud computing and edge computing ▪ GPU computing and FPGA-based acceleration ▪ Distributed systems and blockchain technologies ▪ Consensus algorithms and fault tolerance ▪ Peer-to-peer networks and distributed databases ▪ Quantum computing and hybrid quantum-classical systems ▪ Scalable computing architectures ▪ Serverless computing and microservices ▪ Energy-efficient computing and green IT ▪ In-memory computing and storage systems ▪ Mobile computing and ubiquitous systems ▪ Edge AI and on-device machine learning ▪ Computational storage and memory-centric computing ▪ Neuromorphic computing and brain-inspired architectures ▪ Reconfigurable computing and adaptive systems ▪ High-availability and fault-tolerant systems Track 3: Artificial Intelligence and Machine Learning ▪ Deep learning architectures and models ▪ Explainable AI and interpretability ▪ Natural language processing and text generation ▪ Computer vision and image processing ▪ Reinforcement learning and autonomous systems ▪ Generative models (e.g., GANs, diffusion models) ▪ AI for healthcare, finance, and robotics ▪ Multimodal AI systems and applications ▪ Transfer learning and domain adaptation ▪ Self-supervised and unsupervised learning ▪ Federated learning and decentralized AI ▪ AI-powered recommendation systems ▪ AI for cybersecurity and anomaly detection Track 4: Systems and Networks ▪ Operating systems and resource management ▪ Real-time and embedded systems ▪ Virtualization and containerization technologies ▪ Network architectures and protocols (e.g., 5G/6G, IoT) ▪ Software-defined networking (SDN) ▪ Network security and privacy ▪ Cryptography and secure communication ▪ Intrusion detection and prevention systems ▪ Privacy-preserving technologies (e.g., differential privacy) ▪ Internet of Things (IoT) and edge networking ▪ Wireless and mobile networks ▪ Network function virtualization (NFV) ▪ Content delivery networks (CDNs) ▪ Network performance optimization and QoS ▪ Blockchain and decentralized network systems ▪ Cyber-physical systems and industrial IoT ▪ Network simulation and modeling tools ▪ Next-generation internet architectures Track 5: Applications and Emerging Trends ▪ Data science and big data analytics ▪ Data mining and knowledge discovery ▪ Human-computer interaction and user experience ▪ Augmented reality (AR) and virtual reality (VR) ▪ Internet of Things (IoT) and smart cities ▪ Autonomous systems and robotics ▪ Green computing and sustainable technologies ▪ Wearable computing and ubiquitous systems ▪ Digital twins and simulation-based optimization ▪ Emerging applications in healthcare, education, and industry ▪ Computational social science and digital humanities ▪ Smart agriculture and precision farming ▪ AI-driven climate modeling and environmental monitoring ▪ Fintech and blockchain applications ▪ E-governance and smart public services ▪ Personalized medicine and healthcare analytics ▪ Educational technology and AI in learning ▪ Entertainment computing and gaming technologies ▪ Disaster management and emergency response systems
Last updated by Dunn Carl on

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