We invite all leading researchers, engineers and scientists in the domain of
interest from across the world to submit their original research articles. On behalf of the Organizing
Committee (OC), We welcomes you all to submit your research papers at INCSTIC-2026 and share yours valuable
experiences with the research community. With so many exciting and interesting developments in the field of
Computer Science today, our hope is that INCSTIC-2026 draws insights and encourages collaboration from many
disciplines and backgrounds, and makes a difference in the world through the sharing of innovative ideas. The
authors are invited to submit full papers describing original, previously unpublished, complete work (not
currently under review by another conference/ journal), up to 6 pages including figure, results, and
references.
Please note that the
similarity index of submitted papers must be strictly less than 15%. All the accepted and presented paper will be submitted to Taylor's and Francis for possible inclusion in its digital library.
Track Details
This track focuses on the latest advancements in AI and ML, including cutting-edge algorithms and real-world applications
Neural Networks and Deep Learnin
Expert Systems and Decision Support
Data Mining and Predictive Analytics
Fuzzy Logic and Uncertainty Modeling
Natural Language Processing and Sentiment Analysis
AI for Cybersecurity and Threat Detection
Reinforcement Learning and Cognitive Systems
Investigates AI-driven advancements in visual perception, human-computer interaction, and computational biology.
Computer Vision and Image Processing
Video Analysis and Motion Recognition
Augmented Reality (AR) and Virtual Reality (VR) Applications
AI in Medical Diagnostics and Healthcare Imaging
Human-Computer Interaction and Assistive Technologies
AI in Drug Discovery and Disease Prediction
Biomedical Signal and Genome Analysis
Focuses on techniques and systems for extracting insights and knowledge from large and complex datasets. The possible topics would be:
Data mining and knowledge discovery
Big data frameworks (Hadoop, Spark)
Data visualization and storytelling
Predictive analytics and statistical modeling
Business intelligence systems
Data engineering and pipelines
Explores novel computing paradigms, high-performance architectures, and next-generation computing frameworks.
Quantum Computing and Quantum Information Processing
Cloud and Edge Computing Architectures
High-Performance and Parallel Computing
Cognitive and Context-Aware Computing
Grid and Distributed Computing
Embedded and Mobile Computing
Green and Sustainable Computing Solutions
Covers innovative computing trends and their transformative impact on industries and society.
Big Data Analytics and Data Science Applications
Internet of Things (IoT) and Smart Environments
Blockchain Technologies and Decentralized Systems
Cyber-Physical Systems and Real-Time Computing
Smart Cities and Machine-to-Machine (M2M) Communication
Social Computing, Digital Transformation, and Industry 4.0
Digital Twins and Intelligent Automation
Covers methods and technologies for securing systems, protecting data privacy, and enabling trusted decentralized applications. The possible topics would be: