Big Data and Digital Solutions
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
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
Robert Gao
Develops multi-physics sensing and stochastic modeling methods for improving observability in dynamical systems
Mehmet Koyutürk
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
New! Immediate positions for post-doc and Ph.D. students in the following areas: Probabilistic analysis, structural and systems reliability, multi-hazard assessment and mitigation, risk-informed decision making, optimization, vulnerability modeling, resilience quantification, resilient and sustainable civil infrastructure systems, earthquake engineering, wind engineering, impact of climate change and adaptation strategies. Those interested should email Dr. Li a cover letter stating qualifications, relevant experience and research interests, CV, and transcripts.
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
Satish Viswanath
develops novel medical image analysis and machine learning tools for targeting and evaluating interventions
David Wilson
I use image processing and machine/deep learning on biomedical images to advance health.
Yinghui Wu
Devise, design, and develop novel data management and analysis techniques and tools to support data and knowledge management and exploration.