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.
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Centers and institutes that conduct research in Big Data and Digital Solutions
Faculty who conduct research in Big Data and Digital Solutions
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
Jennifer Carter
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
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
Harold Connamacher
Associate Department Chair, Computer and Data Sciences Department
Associate Professor, Computer and Data Sciences Department
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
Professor, Materials Science and Engineering
Director, SDLE Research Center
Applies data science and analytics to energy and materials science research problems
Robert Gao
Department Chair, Mechanical and Aerospace Engineering
Professor, Mechanical and Aerospace Engineering
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems
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
Daniel Lacks
Associate Dean, Academics
Professor, Chemical Engineering
Develops first-principles molecular-scale theories of chemical processes and materials properties
Jing Li
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
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
Yue Li
Professor, Civil and Environmental Engineering
Designs and improves resilient buildings and infrastructure
Anant Madabhushi
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
Cameron McIntyre
Professor, Biomedical Engineering
Engineers the next generation of neuromodulation technology
Andy Podgurski
Professor, Computer and Data Sciences Department
Develops techniques to assess and improve the reliability and securty of software systems and applications
Michael Rabinovich
Professor Emeritus, Computer and Data Sciences Department
Investigates solutions to improve Internet performance, scalability and security
Satish Viswanath
Assistant Professor, Biomedical Engineering
develops novel medical image analysis and machine learning tools for targeting and evaluating interventions
David Wilson
Professor, Biomedical Engineering
I use image processing and machine/deep learning on biomedical images to advance health.
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.