Conference Information

ICCRD 2027: International Conference on Computer Research and Development

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Submission Date:
2026-09-30 Due in 4 days
Notification Date:
2026-10-30
Conference Date:
2027-01-15
Location:
Singapore
Years:
19
Viewed: 8777   Tracked: 2   Attend: 1

Conference Partner Index (CP-I)

51.4 / 100
Ranked #1,301 of 5,687 conferences · Top 23%
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%)
81
Community attention (10%)
25
Public record completeness (15%)
35

Inputs used: Editions on record: 19 · Researchers following it here: 2 · Researchers who opened this page in the past 24 months: 6

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 2026-09-26

Call For Papers

ICCRD 2027 (International Conference on Computer Research and Development) is an academic conference held in Singapore on 2027-01-15. The paper submission deadline is 2026-09-30. Acceptance notifications are sent on 2026-10-30.

Topics The primary focus of the conference is on new and original research results in the areas of theoretical findings, design, implementation, and applications. Both theoretical paper and simulation (experimental) results are welcome. Topics of interest include, but are not limited to the following. Algorithms and Computational Intelligence ▸ Neural Computing and Deep Learning ▸ Optimization and Metaheuristic Search ▸ Reinforcement Learning and Fuzzy Decision Systems ▸ Big Data Analytics and the IoT ▸ Robotics, Cybernetics, and Pattern Recognition ▸ Theoretical Foundations of Computational Intelligence Artificial Intelligence and Machine Learning ▸ Machine Learning Foundations and Deep Learning ▸ Computer Vision and Image Processing ▸ Natural Language Processing and Generative Models ▸ Pattern Recognition and Knowledge Discovery ▸ Decision Support Systems and Intelligent Control ▸ Reinforcement Learning and Robotics ▸ Distributed AI and Algorithms Human-Computer Interaction and User Experience ▸ Multi‑modal interaction (speech, gesture, gaze, haptics, BCI) ▸ Voice user interfaces and conversational AI ▸ Virtual, augmented, and mixed reality interfaces ▸ User experience design, usability engineering, and UX metrics ▸ Human–AI collaboration and decision support ▸ Human–robot interaction and collaborative robotics ▸ Trust, transparency, and ethics in human‑machine systems ▸ Cognitive modeling and human factors in interactive systems ▸ Accessible, assistive, and inclusive interaction technologies ▸ Affective computing and human‑centered AI ▸ Pervasive/ubiquitous computing and wearable interaction ▸ Interaction data analytics, privacy, and ethics Information Systems and Data Processing ▸ TData Management and Data Engineering ▸ TData Analytics and Mining ▸ TDistributed and Parallel Data Processing ▸ TInformation Systems Applications and Integration ▸ TAI and Machine Learning for Data Processing ▸ TData Security, Privacy, and Trust ▸ TData Visualization and Human-Computer Interaction ▸ TInformation Retrieval and Knowledge Discovery ▸ TData Acquisition and Integration ▸ TBenchmarking, Performance, and System Evaluation ▸ TEthics and Social Impact of Data Processing Systems and Hardware Design ▸ Computer Architecture and High-Performance Computing ▸ VLSI Systems and Circuit Design ▸ Embedded and Real-Time Systems ▸ Reconfigurable Computing and FPGA ▸ High-Performance Interconnects ▸ Hardware Security and Trust ▸ Emerging Computing Paradigms ▸ Design Automation and Verification ▸ Performance Evaluation and Benchmarking ▸ Reliability and Testability ▸ Power and Energy Efficiency
Last updated by Dou Sun on

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