Call for Papers
Prospective authors are strongly encouraged to submit their original, unpublished quality research papers (which are not concurrently under review elsewhere) related to the specified tracks. Submissions should adhere to the format outlined in the Paper Template and be submitted via Microsoft CMT for possible publication in ARISE-2026. Submitted papers must be plagiarism-free. All submissions must be in English, and papers intended for presentation should adhere to the formatting guidelines provided by the conference website.
ConferenceTracks
The scope of ARISE is to provide a global platform for researchers, engineers, academicians, industry professionals, and practitioners to present their latest research findings, innovations, and development activities in the areas of data analytics, data science, artificial intelligence, machine learning, intelligent systems, cybersecurity, data engineering, and intelligent systems engineering. The conference focuses on emerging methodologies, technologies, and applications involving data-driven and intelligent solutions, including big data analytics, predictive intelligence, computational intelligence, cloud and distributed computing, Internet of Things, cyber-physical systems, natural language processing, computer vision, and intelligent engineering applications. ARISE facilitates discussions on recent advancements, challenges, and future research directions in these rapidly evolving domains, enabling participants to exchange knowledge, explore innovative solutions, foster interdisciplinary collaboration, and contribute to the advancement of data-driven and intelligent engineering systems.
Track 1: Data Analytics, Data Science and Knowledge Discovery
Data Analytics, Data Science, Exploratory Data Analysis, Statistical Data Analysis, Data Visualization, Knowledge Discovery, Knowledge Discovery in Databases, Data-driven Decision Making, Descriptive Analytics, Diagnostic Analytics, Prescriptive Analytics, Feature Engineering, Data Quality, Data Integration, Data Representation, Analytical Modeling, Data-driven Insights.
Track 2: Big Data Analytics, Data Mining and Predictive Intelligence
Big Data Analytics, Big Data Processing, Data Mining, Predictive Analytics, Predictive Modeling, Classification, Clustering, Association Rule Mining, Sequential Pattern Mining, Anomaly Detection, Outlier Detection, Forecasting, Time-Series Analytics, Stream Analytics, Recommender Systems, High-dimensional Data Analysis, Social Media Analytics, Text Mining.
Track 3: Artificial Intelligence, Machine Learning and Deep Learning
Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models, Foundation Models, Reinforcement Learning, Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Federated Learning, Explainable AI, Responsible AI, Neural Networks, Evolutionary Learning, Meta-learning, AI Model Optimization.
Track 4: Data Engineering, Cloud Computing and Distributed Intelligence
Data Engineering, Data Management, Data Architecture, Data Pipelines, ETL and ELT, Data Warehousing, Data Lakes, Data Lakehouse, Distributed Data Processing, Cloud Computing, Edge Computing, Fog Computing, Distributed Computing, Parallel Computing, High-Performance Computing, Serverless Computing, Cloud Data Analytics, Distributed Machine Learning, Data Security and Privacy.
Track 5: Intelligent Systems Engineering, IoT and Cyber-Physical Systems
Intelligent Systems Engineering, Internet of Things, Industrial IoT, Cyber-Physical Systems, Smart Systems, Smart Manufacturing, Industry 4.0, Digital Twins, Intelligent Automation, Robotics, Autonomous Robots, Sensor Networks, Wireless Sensor Networks, Edge Intelligence, Embedded Intelligence, Smart Infrastructure, Connected Systems, IoT Analytics.
Track 6: Natural Language Processing, Computer Vision and Intelligent
Natural Language Processing, Natural Language Understanding, Large Language Models, Text Analytics, Sentiment Analysis, Information Extraction, Speech Processing, Machine Translation, Question Answering, Computer Vision, Image Processing, Image Classification, Object Detection, Image Segmentation, Pattern Recognition, Facial Recognition, Video Analytics, Multimodal AI, Intelligent Applications.