Call for Papers

Technical tracks and research themes for ICITIIT 2027

Call for Papers: Submission deadline 20th October, 2026, 11:59 PM IST

Technical Tracks

Artificial Intelligence is rapidly evolving beyond generative models toward intelligent, autonomous, trustworthy, and human-centric computing systems that seamlessly integrate with modern digital infrastructures. The 8th International Conference on Innovative Trends in Information Technology 2027 (ICITIIT-2027) aims to provide a premier international forum for researchers, academicians, industry practitioners, and policymakers to present cutting-edge research addressing the next generation of information technologies. The conference encompasses advances in foundation AI, machine learning, data science, cloud-edge computing, cyber-physical systems, intelligent networking, cybersecurity, quantum computing, human-centered computing, and interdisciplinary AI applications. Emphasis is placed on developing scalable, secure, explainable, privacy-preserving, and sustainable computing solutions that address real-world scientific, industrial, and societal challenges. Through interdisciplinary collaboration and high-quality research contributions, ICITIIT 2027 seeks to foster innovations that will shape the future of trustworthy and responsible intelligent computing systems for a connected digital society.Technical papers are solicited on the topics pertaining to the scope of the Conference will include, but are not limited to:

Foundation AI, Generative AI, Machine Learning and Intelligent Computing Systems

  • Foundation Models, Natural Language Processing, Large Language Models (LLMs), Small Language Models (SLMs), and Multimodal AI Systems
  • Generative AI (GenAI), Retrieval-Augmented Generation (RAG), Agentic AI, and Autonomous Intelligent Systems, GenAI applications
  • Advanced Machine Learning, Deep Learning, Graph Neural Networks, Transformer Architectures, and Continual Learning
  • Efficient AI, TinyML, Neuromorphic Computing, Model Compression, Quantization, and Edge Intelligence
  • Explainable, Interpretable, Responsible, Fair, and Trustworthy Artificial Intelligence
  • AI for Scientific Discovery, Computational Intelligence, Optimization, and Decision Support Systems

Data Science, Knowledge Engineering, and Intelligent Analytics

  • Big Data Analytics, Data-Centric AI, High-Dimensional Data Mining, and Large-Scale Data Processing
  • Knowledge Graphs, Semantic Web Technologies, Ontology Engineering, and Knowledge Representation
  • Business Intelligence, Predictive Analytics, Decision Intelligence, and Enterprise Data Platforms
  • Synthetic Data Generation, Data Quality Management, Feature Engineering, and Automated Machine Learning (AutoML)
  • Stream Analytics, Real-Time Data Processing, Edge Analytics, and Intelligent Data Pipelines
  • Information Retrieval, Recommender Systems, Personalization, and Search Technologies

IoT, Cloud Technologies, and Cyber-Physical Systems

  • Cloud Computing, Distributed Systems, High-Performance Computing, and Serverless Computing Architectures
  • Edge Computing, Fog Computing, Internet of Things (IoT), and Smart Connected Systems
  • Cyber-Physical Systems, Digital Twins, Industry 5.0, Smart Manufacturing, and Industrial Automation
  • Smart Cities, Intelligent Transportation Systems, Autonomous Vehicles, Robotics, and UAV Technologies
  • Green Computing, Sustainable Computing Infrastructures, Energy-Efficient Data Centers, and Carbon-Aware Computing
  • Scalable Computing Platforms for AI, Digital Transformation, and Enterprise Computing

Networking, Wireless Systems and Smart Connectivity

  • 5G/6G, Beyond-6G, and Future Wireless Communication Systems
  • Internet of Things (IoT), Internet of Everything (IoE), and Smart Connected Systems
  • Wireless Sensor Networks (WSN), Vehicular Networks (V2X), UAV and Satellite Communications
  • Software-Defined Networking (SDN), Network Function Virtualization (NFV), and Network Programmability
  • AI/ML for Communication Networks, Autonomous Networking, and Network Intelligence
  • Green, Sustainable, and Energy-Efficient Communication Networks
  • Optical, Visible Light (VLC), Millimeter-Wave (mmWave), and Terahertz (THz) Communications
  • Integrated Sensing and Communication (ISAC), Localization, and Context-Aware Networking
  • Network Security, Privacy, Trust Management, and Next-Generation Internet Architectures

Secure, Trustworthy, Privacy-Preserving, and Quantum Computing Technologies

  • Cybersecurity, Applied Cryptography, Blockchain Technologies, and Distributed Ledger Systems
  • Privacy-Preserving Artificial Intelligence, Federated Learning, Differential Privacy, and Secure Multi-Party Computation
  • AI Governance, Responsible Digital Technologies, Ethical Computing, Regulatory Technologies, and Human-Centered Security
  • Quantum Computing, Quantum Machine Learning, Hybrid Quantum-Classical Computing, and Quantum Algorithms
  • Post-Quantum Cryptography, Quantum Communications, Quantum Error Correction, and Secure Quantum Systems
  • Trustworthy Computing, Digital Identity Management, Zero-Trust Architectures, and Cyber Resilience

Human-Centered Computing, Digital Humanities, and Interactive Technologies

  • Computational Linguistics, Speech Technologies, and Low-Resource Language Processing
  • Computer Vision, Image Processing, Video Analytics, Medical Imaging, and Vision-Language Models
  • Multimodal Learning, Cross-Modal Intelligence, Human-AI Collaboration, and Cognitive Computing
  • Human-Computer Interaction, User Experience Design, Explainable Interfaces, and Interactive AI Systems
  • Digital Humanities Methods & Theory, Computational Cultural Heritage, Digital Archiving, Visual Culture, XR Storytelling
  • Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), Extended Reality (XR), and Metaverse Technologies
  • Brain-Computer Interfaces, Affective Computing, Emotion Recognition, Behaviour Analytics, and Intelligent User Modeling

AI for Sustainable Development, Society, and Emerging Interdisciplinary Applications

  • Artificial Intelligence for Healthcare, Precision Medicine, Medical Diagnostics, and Clinical Decision Support
  • AI for Smart Agriculture, Food Security, Water Resource Management, Climate Informatics, and Environmental Sustainability
  • ISmart Cities, Intelligent Transportation, Smart Logistics, Supply Chain Optimization, and Autonomous Mobility Systems
  • AI in Education, Adaptive Learning, Educational Technologies, and Learning Analytics
  • Financial Technologies (FinTech), Intelligent Banking, Fraud Detection, Digital Economy, and Smart Governance
  • AI for Industry 5.0: Smart Manufacturing, Intelligent Digital Twins, Industrial IoT, Autonomous Production Systems, and Sustainable Industrial Intelligence
  • Disaster Prediction, Emergency Response, Social Good, Sustainable Development Goals (SDGs), and AI for Public Policy
  • Oceanic Engineering & Technology
  • Biomedical Engineering & Bio-Inspired Technologies