DIGITAL HEALTH, COMPUTATIONAL LEARNING, INTELLIGENT SYSTEMS

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Digital Health, Computational Learning and Intelligent Systems research group is multidisciplinary technology research, which engaged in health (eHealth), life sciences, engineering, and computer science, focus on how to design, manage, and apply a combination of computational and intelligent systems methodology to solve problems on healthcare, industry, manufacturing or other fields of application domains. 

 

Our Field of Interests

  1. Digital Health Technology 

Electronic Health (learning & service) Systems, Telehealth Apps, devices & systems, Wearable technology, Augmented & Virtual Reality, Health Web &/ Apps based platform 

 

  1. Computational Intelligence and Intelligent Systems (CIIS)

(in general)

Artificial Intelligence, Machine Learning, Deep Learning, Process Mining, Information Retrieval System, Knowledge Engineering, Forecasting-Planning-Scheduling, Statistical Data Analysis, Clustering, Distributed Systems, Embedded Systems, Pattern Recognition.

 

(in detail)

Artificial Intelligence, Machine Learning and Deep Learning, Process Mining, Natural Language Processing, Information Retrieval System, Knowledge Representation, Knowledge-based Systems, Forecasting, Planning and Scheduling, Automated Planning, Bayesian Networks, Clustering, Complex Systems, Distributed Systems, Embedded Systems, Evolutionary Systems, Expert System, Fuzzy Logic, Fuzzy Systems, Genetic Algorithm, Genetic Programming, Multi-Agent Systems, Neural Fuzzy Systems, Neural Genetic Systems, Neural network, Pattern Recognition, Probabilistic Reasoning, Qualitative Reasoning, Reinforcement Learning, Self-Organizing Maps (SOM), State Space Search, Statistical Data Analysis, Support Vector Machines, Swarm Intelligence, Time Series Analysis

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