Current
Name, Degree Level, Department, and Research Interest Areas
 | Aaron Saxton Data Engineer National Center for Supercomputing Applications AI theory, AI systems (hardware, software, frameworks), AI applications, machine learning (including deep learning), natural language processing, vision and scene understanding, big data | |||||
 | Aiman Soliman Research Scientist National Center for Supercomputing Applications AI applications, machine learning (including deep learning), vision and scene understanding, big data | |||||
 | Avik Roy Postdoctoral Research Associate National Center for Supercomputing Applications | |||||
 | Bassem Andrawes Professor Civil and Environmental Engineering Machine learning (including deep learning), vision and sense understanding, big data | |||||
 | Bo Li Assistant Professor Computer Science Machine learning (including deep learning), trustworthy AI | |||||
 | Chengxiang Zhai Affiliate Professor School of Information Sciences Intelligent information systems, information retrieval, data mining, natural language processing, machine learning, biomedical and health informatics, intelligent educational systems. | |||||
 | Jessie Chin Associate Professor School of Information Sciences Intelligent agents to augment human performance, cognitive agents, neuro-symbolic AI, human-AI interaction, digital health | |||||
 | Bryan Clark Associate Professor Physics AI applications, AI theory, machine learning (including deep learning) | |||||
 | Diab Abueidda Research Scientist National Center for Supercomputing Applications AI applications, machine learning (including deep learning), robotics | |||||
 | Ekaterina Gribkova Postdoctoral Research Associate Coordinated Science Laboratory Computational neuroscience, Biologically-inspired artificial intelligence, Cognitive mapping in artificial intelligence | |||||
 | Gautham Narayan Assistant Professor Astronomy/NCSA CAPS Machine learning (including deep learning), AI applications, big data | |||||
 | Mattia Gazzola Associate Professor Mechanical Science and Engineering AI applications, robotics | |||||
 | Wen-Mei Hwu Professor Electrical & Computer Engineering AI systems, AI applications, machine learning, real-time and Edge AI | |||||
 | Jinjun Xiong Adjunct Professor Electrical & Computer Engineering AI systems, AI applications, machine learning, real-time and Edge AI | |||||
 | Kaiyu Guan Levenick Professor of Sustainability, Natural Resources and Environmental Sciences We aim to bring domain knowledge (i.e. Earth system science, hydrology, plant physiology, biogeochemistry, ecology, agricultural science), satellite data, supercomputing, and AI/ML together to revolutionize the agricultural research, such that we can observe every crop field in real-time, monitor crop growth condition, water demands, and nutrient needs, forecast crop yield, risks and environmental impacts (e.g. greenhouse gas emission, soil carbon change), and provide farmers our solutions to best manage their fields as well as policy-makers improved agricultural policy design, across the U.S. and Worldwide. We strive to achieve co-sustainability of environment quality and food security. | |||||
 | Mark Neubauer Professor Physics AI theory, AI systems (hardware, software, frameworks), AI applications, machine learning (including deep learning), big data, real-time and Edge AI | |||||
 | Matt Hudson Professor Crop Sciences Machine learning applications in genomics and crop breeding, AI for agriculture, decision support and medical genetics. | |||||
 | Matthew Krafczyk Research Scientist National Center for Supercomputing Applications – Research Consulting AI theory, AI systems, AI applications, machine learning, big data, real-time and Edge AI, AI ethics and philosophy | |||||
 | Minjia Zhang Assistant Professor The Grainger College of Engineering Computer Science Machine Learning Systems, Parallel Computing, AI Efficiency, Model Compression, Natural Language Processing | |||||
 | Rebecca Smith Associate Professor Pathobiology AI applications, machine learning (including deep learning), big data | |||||
 | Rhanor Gillette Professor Molecular & Integrative Physiology Naturalistic Artificial Intelligence, Goal-directed use of knowledge in autonomous agents, Computational neuroscience | |||||
 | Robert Brunner Associate Dean for Innovation & Chief Disruption Officer Gies College of Business AI applications, machine learning (including deep learning), natural language processing, big data, real-time and Edge AI, AI ethics and philosophy | |||||
 | Roy Campbell Professor Computer Science AI systems (hardware, software, frameworks), AI applications, machine learning (including deep learning) | |||||
 | Sandra Rodriguez Zas Professor, Associate Dept. Head Animal Sciences AI applications, machine learning, big data | |||||
 | Seid Koric Technical Associate Director and Research Professor National Center for Supercomputing Applications and MechSE Confluence of AI/ML and numerical modeling methods | |||||
 | Shirui Luo Research Scientist National Center for Supercomputing Applications AI applications and machine learning | |||||
 | Suma Bhat Assistant Professor Electrical & Computer Engineering Natural language processing, AI applications | |||||
 | Yogatheesan Varatharajah Adjunct Assistant Professor Bioengineering Physiological systems – Neural engineering (general) | |||||
 | Vikram Adve Donald B. Gillies Professor Siebel School of Computing and Data Science AI systems, AI applications, machine learning (including deep learning), robotics, real-time and Edge AI | |||||
 | Xiaoxia Liao Technical Program Manager National Center for Supercomputing Applications | |||||
 | Xin Liu Associate Professor Astronomy AI applications, machine learning (including deep learning), big data | |||||
 | Yifang Zhang Graduate Student Grainger College of Engineering – ECE Computer Networking related research | |||||
 | Yonatan Kahn Assistant Professor Physics AI theory, deep learning | |||||
 | Yudu Li Research Assistant Professor Grainger College of Engineering Bioengineering – developing computational methodologies for biomedical imaging, with emphasis on Magnetic Resonance Imaging (MRI) |
Past
Name, Degree Level, Department, and Research Interest Areas
- Alex Schwing: Assistant Professor, Electrical & Computer Engineering, Machine learning, and vision and scene understanding
- Bertram Ludaescher: Professor, School of Information Sciences
- Jian Peng: Assistant Professor, Computer Science, AI applications, and machine learning (including deep learning)
- Nahil Sobh: Lead Data Scientist, Institute for Genomic Biology, AI applications, machine learning (including deep learning), natural language processing, big data, AI ethics and philosophy
- Dora Cai: Technical Program Manager, NCSA, AI systems (hardware, software, frameworks), AI applications, machine learning (including deep learning), big data
- Zhizhen Zhao: Assistant Professor, Electrical & Computer Engineering, Machine learning, AI applications, big data