Big Data and Digital Solutions

Using big data and high-tech advancements to solve pressing problems.

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

Solar Panel and Sunflower

SDLE Center

Studies solar photovoltaic and other outdoor exposed technologies using degradation science, data science and analytics.

Faculty who conduct research in Big Data and Digital Solutions

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Marc Buchner

Associate Dean, Academics
Associate Professor, Electrical Engineering and Computer Science
Director, Virtual Worlds Lab - Gaming and Simulation

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

Assistant Professor, Materials Science and Engineering

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

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Vira Chankong

Associate Professor, Electrical Engineering and Computer Science

Develops rapid learning and optimization methods for intensity modulated radiation therapy, and develops new paradigm for combinatorial optimization

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Harold Connamacher

Assistant Professor, Electrical Engineering and Computer Science

Applies theoretical computer science techniques to discover problem structures and improve algorithm performance

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Chris Fietkiewicz

Assistant Professor, Electrical Engineering and Computer Science

Develops methods for high-performance computing, modeling and simulation

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Roger French

Kyocera Professor
Professor, Materials Science and Engineering

Applies data science and analytics to energy and materials science research problems

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Michael Fu

Assistant Professor, Electrical Engineering and Computer Science

Develops video games and virtual environments to improve human health after neurological injury

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Robert Gao

Department Chair, Mechanical and Aerospace Engineering
Cady Staley Professor of Engineering
Professor, Mechanical and Aerospace Engineering

Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems

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YeongAe Heo

Assistant Professor, Civil Engineering

Promotes the resilience of structural systems and communities against natural and man-made hazards

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Farhad Kaffashi

Research Assistant Professor, Electrical Engineering and Computer Science

Variability analysis of multi-modal physiological time series data collected in clinical settings

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Mehmet Koyuturk

Professor, Electrical Engineering and Computer Science

Develops algorithms for transforming "big" biological data into systems biology knowledge

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Daniel Lacks

Department Chair, Chemical Engineering
C. Benson Branch Professor
Professor, Chemical Engineering

Develops first-principles molecular-scale theories of chemical processes and materials properties

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Jing Li

Professor, Electrical Engineering and Computer Science

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

Associate Professor, Electrical Engineering and Computer Science

Investigates big data computing and analytics, security and privacy, and their applications in complex systems and networks

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Yue Li

Associate Professor, Civil Engineering

Designs and improves resilient buildings and infrastructure

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Anant Madabhushi

F. Alex Nason Professor II
Professor, Biomedical Engineering
Director, Center for Computational Imaging and Personalized Diagnostics

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

School of Medicine campus
Professor, Biomedical Engineering

Engineers the next generation of neuromodulation technology

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Andy Podgurski

Professor, Electrical Engineering and Computer Science

Develops techniques to assess and improve the reliability and secuirty of software systems and applications

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Michael Rabinovich

Professor, Electrical Engineering and Computer Science

Investigates solutions to improve Internet performance, scalability and security

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David Wilson

Robert Herbold Professor of Biomedical Engineering
Professor, Biomedical Engineering

Creates image analysis and image analytics for important clinical and biomedical applications

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Xusheng Xiao

Assistant Professor, Electrical Engineering and Computer Science

Develops automatic analysis tools for making software and systems more reliable, intelligent, secure, and efficient