C3.ai DTI Announces AI to Transform Cybersecurity and Secure Critical Infrastructure Awards – four involving Digital Futures
C3.ai Digital Transformation Institute (C3.ai DTI) has announced the third round of C3.ai DTI funded advanced research awards, focused on using artificial intelligence (AI) to harden information security and secure critical infrastructure.
The Institute awarded a total of $6.5 million in cash awards to leading research scientists at the University of California, Berkeley, the University of Illinois at Urbana-Champaign, Carnegie Mellon, Princeton, University of Chicago, KTH Royal Institute of Technology, and MIT.
Twenty-four projects were awarded $100,000 to $700,000 each, for an initial period of one year. The four involving Digital Futures are:
AI Techniques for Power Systems Under Cyberattacks
- Javad Lavaei, Associate Professor, Industrial Engineering and Operations Research, University of California, Berkeley
- Somayeh Sojoudi, Assistant Professor of Electrical Engineering & Computer Science, University of California, Berkeley
- Steven Low, Professor of Computing and Mathematical Sciences and Electrical Engineering, California Institute of Technology
- Jan Kronqvist, Assistant Professor, KTH Royal Institute of Technology
- Jeremy Lawrence, Principal Technical Leader at Electric Power Research Institute, Electric Power Research Institute
Physics-aware AI-based Approach for Cyber Intrusion Detection in Substation Automation Systems
- Alberto Sangiovanni-Vincentelli, Professor, University of California, Berkeley
- Ming Jin, Assistant Professor of Electrical and Computer Engineering, Virginia Tech
- Carlo Fischione, Professor, KTH Royal Institute of Technology
- Chen-Ching Liu, American Electric Power Professor, Virginia Tech
Cyber Safety Cage for Networks
- Cyrille Valentin Artho, Associate Professor KTH Royal Institute of Technology
- Roberto Guanciale, Associate Professor, KTH Royal Institute of Technology
- Reyhaneh Jabbarvand, Assistant Professor, University of Illinois at Urbana-Champaign
- Brighten Godfrey, Professor, University of Illinois at Urbana-Champaign
Causal Reasoning for Real-Time Attack Identification in Cyber-Physical Systems
- György Dán, Professor, KTH Royal Institute of Technology
- Klara Nahrstedt, Grainger Distinguished Chair in Engineering, University of Illinois at Urbana-Champaign
- Saurabh Amin, Associate Professor, MIT
- Henrik Sandberg, Professor, KTH Royal Institute of Technology
C3.ai DTI selects research proposals that inspire cooperative research and advance machine learning and other AI subdisciplines. Projects are peer-reviewed on scientific merit, prior accomplishments of the principal investigator and co-principal investigators, the use of AI, machine learning, data analytics, and cloud computing in the research project, and the suitability for testing the methods at scale. Visit C3DTI.ai to learn more about the Institute’s programs, award opportunities, and selected research proposals.
More about the project abstracts, researchers and universities.
Read the C3aiDTI press release here.
