Grants per year
Fingerprint
Dive into the research topics where Assured and Scalable Data Engineering, Center for (CASCADE) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
Gail-Joon Ahn
- Arizona State University, Information Assurance Center (IA) - Professor
- Arizona State University, Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Arizona State University, Computer Science and Engineering - Professor
- Arizona State University, Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Arizona State University, LightWorks - Professor
Person
-
Tamiko Azuma
- Arizona State University, Assured and Scalable Data Engineering, Center for (CASCADE) - Associate Professor
- Arizona State University, Health Solutions, College of (CHS) - Associate Professor
- Arizona State University, Executive Vice President and Provost, Office of the (EVPP) - Assistant Vice Prov & Associate Professor
Person
-
Chitta Baral
- Arizona State University, Computer Science and Engineering - Professor
- Arizona State University, Cybersecurity and Digital Forensics, Center for (CDF) - Professor
- Arizona State University, Engineering, Ira A. Fulton Schools of (IAFSE) - Professor
- Arizona State University, Assured and Scalable Data Engineering, Center for (CASCADE) - Professor
- Arizona State University, Global Futures Laboratory, Julie Ann Wrigley (GFL) - Professor
- Arizona State University, Knowledge Enterprise (KE) - Professor
Person
-
Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration
Liu, H. (CoI) & Candan, K. (PI)
National Science Foundation (NSF)
7/1/23 → 6/30/26
Project: Research project
-
III: SMALL: Graph Contrastive Learning for Few-shot Node Classification
Liu, H. (PI)
National Science Foundation (NSF)
1/1/23 → 12/31/25
Project: Research project
-
PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems
Wu, T. (PI) & Candan, K. (CoI)
National Science Foundation (NSF)
1/1/23 → 12/31/25
Project: Research project
Scholarly Works
-
ACM TECS Special Issue on Embedded System Security Tutorials
Shrivastava, A., Chen, J. J., Kumar, A. & Das, A., Jun 1 2023, In: ACM Transactions on Embedded Computing Systems. 22, 3, 41.Research output: Contribution to journal › Editorial › peer-review
-
A Holistic Curriculum Towards Teaching Smart Home Security
Wang, F., Xu, K. & Xue, G., Mar 6 2023, SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education. Association for Computing Machinery, Inc, p. 1284 1 p. (SIGCSE 2023 - Proceedings of the 54th ACM Technical Symposium on Computer Science Education; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations -
Auction-Based Learning for Question Answering over Knowledge Graphs
Agrawal, G., Bertsekas, D. & Liu, H., Jun 2023, In: Information (Switzerland). 14, 6, 336.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Press/Media
-
Transforming Urban Traffic: The Dawn of Real-Time Monitoring
12/23/23
1 item of Media coverage
Press/Media: Press / Media
-
Study Findings from School of Computing Science and Engineering Provide New Insights into Breast Cancer (Glnet: Global-local Cnn's-based Informed Model for Detection of Breast Cancer Categories From Histopathological Slides)
12/14/23
1 item of Media coverage
Press/Media: Press / Media