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:
Track 1: Artificial Intelligence and Machine Learning:
This track will focus on the latest developments in AI and machine learning algorithms, methodologies, and applications. Submissions are encouraged in areas such as:
- 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. Relevant topics include:
- 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
With the increasing integration of IoT in everyday life, this track will focus on smart systems and IoT applications across various industries. Topics include:
- 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 4: Cyber-Security and Cryptography
This track will address the emerging challenges and techniques in ensuring data security, privacy, and integrity in modern computational environments. Topics of interest include:
- Cryptography and Encryption Techniques
- Intrusion Detection and Prevention Systems
- AI and Machine Learning for Cyber-security
- Block-chain and Distributed Ledger Technologies
- Security in Cloud Computing
- Cyber-security 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 (NLP) and Speech Recognition
This track focuses on techniques and applications related to NLP, speech processing, and human-computer interaction. Submissions are welcome in areas such as:
- Language Models and Transformers
- Machine Translation
- Text Summarization and Sentiment Analysis
- Speech Recognition and Synthesis
- Information Retrieval and Extraction
- AI in Conversational Agents and Chat-bots
- Multimodal Language Processing
- Low-Resource Language Processing
- NLP for Healthcare and Social Media
- Ethics in NLP
Track 6: Computer Vision and Image Processing
This track will highlight the latest research in computer vision, image processing, and related AI applications in visual data. Topics include:
- Image Classification and Segmentation
- Object Detection and Tracking
- Facial Recognition Systems
- Deep Learning for Computer Vision
- 3D Vision and Reconstruction
- Image and Video Enhancement
- Medical Image Processing
- AI in Autonomous Vehicles
- Augmented Reality and Virtual Reality
- Scene Understanding and Semantic Segmentation
Track 7: Computational Intelligence
This track showcases the latest advancements in computational intelligence methods and their applications in solving complex, real-world problems. Emphasis is placed on innovative algorithms, hybrid models, and intelligent system design. Areas of interest include:
- Artificial Neural Networks and Deep Learning
- Fuzzy Logic and Soft Computing
- Evolutionary and Genetic Algorithms
- DSwarm Intelligence and Nature-Inspired Optimization
- Hybrid Computational Intelligence Systems
- Reinforcement Learning and Adaptive Systems
- Bio-Inspired Computing Models
- Computational Intelligence in Robotics and Automation
- Intelligent Decision Support Systems in Healthcare, Finance, and Security
- Explainable and Interpretable Computational Intelligence
Track 8: Interdisciplinary Research
This track is dedicated to promoting collaboration across multiple disciplines, exploring how computational techniques can integrate with fields outside traditional computer science. Areas of interest include:
- AI in Healthcare and Bioinformatics
- Computational Social Sciences
- AI in Education and E-learning
- AI in Finance and FinTech Innovations
- Computational Techniques in Environmental Science
- AI for Drug Discovery and Development
- Computational Models in Psychology and Cognitive Science
- AI in Art, Music, and Creative Industries
- AI and Ethics in Interdisciplinary Contexts
- AI in Legal Tech and Governance
