Conference Information

ICICI 2026: International Conference on Innovations in Computational Intelligence

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Submission Date:
2025-12-31 Extended
Notification Date:
2026-02-15
Conference Date:
2026-04-24
Location:
Ghaziabad, India
Viewed: 3451   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

43.8 / 100
Ranked #3,196 of 5,645 conferences · Top 57%

#378 of 734 in Artificial Intelligence & Machine Learning

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
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%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
10
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 3

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 25% - 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 2026-08-31

Call For Papers

ICICI 2026 (International Conference on Innovations in Computational Intelligence) is an academic conference held in Ghaziabad, India on 2026-04-24. The paper submission deadline is 2025-12-31 (extended). Acceptance notifications are sent on 2026-02-15.

The International Conference on Innovations in Computational Intelligence (ICICI-2026) invites researchers, scholars, industry professionals, and practitioners from across the globe to submit their original and unpublished research papers. The conference will focus on advancements in computational techniques with a particular emphasis on artificial intelligence, machine learning, and other cutting-edge technologies. The final accepted papers will be considered for presentation in hybrid mode. All the accepted and presented papers will be submitted to IEEE Xplore (Scopus Indexed) for possible inclusion through IEEE CIS. ICICI-2026 offers a platform for the exchange of ideas and dissemination of innovative research across a variety of tracks. Contributors are invited to submit their work under the following seven tracks: All the accepted, registered, and presented papers will be submitted to IEEE Xplore (Scopus Indexed) through IEEE Computational Intelligence Society (CIS) for possible inclusion. Track 1: Artificial Intelligence and Machine Learning This track focuses on the latest developments in AI and machine learning algorithms, methodologies, and applications. Deep Learning and Neural Networks Reinforcement Learning AI in Healthcare Transfer Learning Machine Learning for Autonomous Systems Explainable AI AI for Natural Language Processing Ethical AI and Fairness AI in Robotics AI for Edge and Cloud Computing Track 2: Data Science and Big Data Analytics This track explores methods and technologies that help analyze, manage, and extract insights from large datasets. Predictive Modeling Big Data Frameworks and Platforms (Hadoop, Spark) Data Visualization Techniques Data Mining and Knowledge Discovery Big Data in Healthcare Real-time Data Processing Sentiment Analysis and Opinion Mining Data Cleaning and Preprocessing Data Privacy and Security in Big Data Machine Learning on Large-scale Data Track 3: Internet of Things (IoT) and Smart Systems This track focuses on smart systems and IoT applications across various industries. IoT Architectures and Frameworks Smart Cities and Infrastructure Edge Computing and IoT Sensor Networks and Data Management IoT for Healthcare and Wearables Industrial IoT Applications Security in IoT Networks AI in IoT Systems Smart Agriculture and Environment Monitoring Connected Vehicles and Autonomous Systems Track 4: Cybersecurity and Cryptography This track addresses emerging challenges in ensuring data security, privacy, and integrity in modern computational environments. Cryptography and Encryption Techniques Intrusion Detection and Prevention Systems AI and Machine Learning for Cybersecurity Blockchain and Distributed Ledger Technologies Security in Cloud Computing Cybersecurity in IoT Systems Threat Modeling and Risk Analysis Post-Quantum Cryptography Secure Software Development Lifecycle (SSDLC) Cyber-Physical System Security Track 5: Natural Language Processing This track covers advances in understanding, generating, and processing human language using computational methods. Large Language Models (LLMs) Machine Translation Speech Recognition and Synthesis Question Answering Systems Information Extraction and Retrieval Text Summarization Named Entity Recognition (NER) Sentiment Analysis Chatbots and Conversational AI Multilingual NLP Track 6: Computer Vision This track explores techniques enabling machines to interpret and understand visual information from the world. Image Classification and Recognition Object Detection and Tracking Facial Recognition Image Segmentation Video Analysis 3D Vision and Reconstruction Medical Image Analysis Autonomous Vehicles and Vision Systems Augmented and Virtual Reality Generative Models for Images Track 7: Computational Intelligence This track focuses on nature-inspired algorithms and intelligent systems for solving complex problems. Neural Networks Fuzzy Logic Systems Evolutionary Algorithms Swarm Intelligence Genetic Programming Hybrid Intelligent Systems Neuro-Fuzzy Systems Particle Swarm Optimization Ant Colony Optimization Artificial Immune Systems Track 8: Interdisciplinary Applications This track encourages submissions that apply computational intelligence to diverse fields and cross-disciplinary research. AI in Healthcare and Medicine Computational Social Sciences AI in Education Environmental Monitoring and Climate Modeling Smart Agriculture AI in Finance and Economics Computational Biology and Bioinformatics AI for Sustainability Human-Computer Interaction AI Ethics and Policy
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