Artificial Intelligence is poised to revolutionize our world, our societies and our lives through myriad applications from healthcare to transportation, to data science applications to cybersecurity. At the same time, fundamental scientific questions remain to be answered about what makes up an intelligent system and how to realize intelligent behavior through efficient computation.
Researchers at Case Western Reserve University are working to answer the fundamental questions behind AI as well as apply AI and machine learning methods to applications. To better understand these questions, we study how our brains encode sensory information, how people should interact with AI assistants, how to build AI systems that can automatically learn to decompose problems and communicate in natural language, and how to build secure AI systems.
Among applications, we apply AI and machine learning methods to healthcare, bioinformatics, software engineering, computer networks, cybersecurity, cognitive science and more.
Faculty who conduct research in Artificial Intelligence and Machine Learning
Develops next-generation medical robotic systems for surgery and image-guided interventions
High Performance Computing and Applications to Science, Engineering, Biology, and Medicine; Artificial Intelligence/Machine Learning/Data Science; Computer Assisted Diagnosis and Interventions; Medical Image Processing; Computer Architecture; Quantum Computing.
Applies theoretical computer science techniques to discover problem structures and improve algorithm performance
Develops algorithms for transforming "big" biological data into systems biology knowledge
Develops theoretical models of computation and representation in sensory coding and perception
Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics
Develops and analyzes algorithms for intelligent adaptive systems
Devise, Design, and Develop novel data management and analysis paradigms and tools to support data and knowledge exploration in the Big Data era.
Research areas mainly include cybersecurity, data mining, machine learning, and health intelligence.