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
Marc Buchner
Applies computer gaming technology and digital signal processing, especially VR and AR, to problem-solving in fields including psychology, nursing and medicine
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
Vira Chankong
Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization
Harold Connamacher
Applies theoretical computer science techniques to discover problem structures and improve algorithm performance
Chris Fietkiewicz
Develops methods for high-performance computing, modeling and simulation
Roger French
Applies data science and analytics to energy and materials science research problems
Michael Fu
Develops video games and virtual environments to improve human health after neurological injury
Robert Gao
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems
YeongAe Heo
Promotes the resilience of structural systems and communities against natural and man-made hazards
Ming-Chun Huang
Researches directions in mobile health, wearable sensor technologies, deep learning on mobile platforms and IoT
Farhad Kaffashi
Variability analysis of multi-modal physiological time series data collected in clinical settings
Mehmet Koyuturk
Develops algorithms for transforming "big" biological data into systems biology knowledge
Daniel Lacks
Develops first-principles molecular-scale theories of chemical processes and materials properties
Jing Li
Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics
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
Anant Madabhushi
Develops and translates computational imaging, AI and machine learning approaches for precision-medicine diagnosis, prognosis, treatment response and prediction
Cameron McIntyre
Engineers the next generation of neuromodulation technology
Andy Podgurski
Develops techniques to assess and improve the reliability and securty of software systems and applications
Michael Rabinovich
Investigates solutions to improve Internet performance, scalability and security
David Wilson
Creates image analysis and image analytics for important clinical and biomedical applications
Xusheng Xiao
Develops automatic analysis tools for making software and systems more reliable, intelligent, secure, and efficient