Big Data and Digital Solutions
Quicker, more accurate diagnoses. Safer drinking water. Better business decisions. Millions of connected devices are churning out billions of data points. With the right analysis, they can help tackle some of the world’s biggest challenges in health care, energy, manufacturing, education and more. We’re using informatics, analytics and high-tech computational modeling to interpret and analyze this mass of raw information and put it to work.
In addition to using digital expertise to transform our physical world, we’re pioneering the latest innovations in augmented and virtual reality, as well as creating other high-tech tools to revolutionize everything from how we teach in the classroom to how we produce on the factory floor.
Centers and institutes that conduct research in Big Data and Digital Solutions
Faculty who conduct research in Big Data and Digital Solutions
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Marc Buchner
Applies computer gaming technology and digital signal processing, especially VR and AR, to problem-solving in fields including psychology, nursing and medicine
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Jennifer Carter
deformation mechanisms of metals and metal-matrix composites; fatigue, fracture, and creep; failure analysis; electron microscopy; 3D microscopy; novel methodologies for multi-scale material characterization; data science and analytics; open science
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Vira Chankong
Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization
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Harold Connamacher
Applies theoretical computer science techniques to discover problem structures and improve algorithm performance
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Chris Fietkiewicz
Develops methods for high-performance computing, modeling and simulation
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Roger French
Applies data science and analytics to energy and materials science research problems
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Robert Gao
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems
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Mehmet Koyutürk
Develops algorithms for transforming "big" biological data into systems biology knowledge
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Daniel Lacks
Develops first-principles molecular-scale theories of chemical processes and materials properties
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Jing Li
Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics
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Pan Li
Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks
Yue Li
Designs and improves resilient buildings and infrastructure
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Anant Madabhushi
Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction
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Cameron McIntyre
Engineers the next generation of neuromodulation technology
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Andy Podgurski
Develops techniques to assess and improve the reliability and securty of software systems and applications
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Michael Rabinovich
Investigates solutions to improve Internet performance, scalability and security
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Satish Viswanath
develops novel medical image analysis and machine learning tools for targeting and evaluating interventions
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David Wilson
I use image processing and machine/deep learning on biomedical images to advance health.
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Yinghui Wu
Devise, design, and develop novel data management and analysis techniques and tools to support data and knowledge management and exploration.