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. 

News: Big Data and Digital Solutions

View All News For Big Data and Digital Solutions

Centers and institutes that conduct research in Big Data and Digital Solutions

Solar Panel and Sunflower

SDLE Research 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

Profile Photo

Marc Buchner

Associate Professor Emeritus, Department of Electrical, Computer and Systems Engineering
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

Anon Photo

Jennifer Carter

Faculty Director, SCSAM
Associate Professor, Materials Science and Engineering

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

Profile Photo

Vira Chankong

Associate Professor, Department of Electrical, Computer and Systems Engineering

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

Profile Photo

Harold Connamacher

Associate Department Chair, Computer and Data Sciences Department
Robert J. Herbold Professor of Transformative Teaching
Associate Professor, Computer and Data Sciences Department

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

Profile Photo

Chris Fietkiewicz

Develops methods for high-performance computing, modeling and simulation

Profile Photo

Roger French

Kyocera Professor
Professor, Materials Science and Engineering
Director, SDLE Research Center

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

Profile Photo

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

Anon Photo

Mehmet Koyutürk

Andrew R. Jennings Professor of Computing Sciences
Professor, Computer and Data Sciences Department

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

Anon Photo

Daniel Lacks

Associate Dean, Academics
C. Benson Branch Professor
Professor, Chemical Engineering

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

Profile Photo

Jing Li

Leonard Case Jr. Professor of Engineering
Professor, Computer and Data Sciences Department

Develops computational approaches and software tools for genomics, bioinformatics and systems biology, and creates computational solutions for big data analytics

Profile Photo

Pan Li

Associate Professor, Department of Electrical, Computer and Systems Engineering

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

Anon Photo

Yue Li

Leonard Case, Jr. Professorship in Engineering
Professor, Civil and Environmental Engineering

Designs and improves resilient buildings and infrastructure

Profile Photo

Anant Madabhushi

Donnell Institute Professorship
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

Profile Photo

Cameron McIntyre

School of Medicine campus
Professor, Biomedical Engineering

Engineers the next generation of neuromodulation technology

Profile Photo

Andy Podgurski

Professor, Computer and Data Sciences Department

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

Profile Photo

Michael Rabinovich

Professor Emeritus, Computer and Data Sciences Department

Investigates solutions to improve Internet performance, scalability and security

Profile Photo

Satish Viswanath

School of Medicine campus
Assistant Professor, Biomedical Engineering

develops novel medical image analysis and machine learning tools for targeting and evaluating interventions

Anon Photo

David Wilson

Robert J. Herbold Professor of Biomedical Engineering
Professor, Biomedical Engineering

I use image processing and machine/deep learning on biomedical images to advance health.

Profile Photo

Yinghui Wu

Associate Professor, Computer and Data Sciences Department

Devise, design, and develop novel data management and analysis techniques and tools to support data and knowledge management and exploration.