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
Develops experimental and analytical techniques to guide, inform and validate physics-based models of material behavior

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

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 secuirty 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