Recommender Systems for Cyberinfrastructure Management and Domain Knowledge Discovery

Prasad Calyam
Associate Professor, Department of Electrical Engineering and Computer Science, Director of the Center for Cyber Education, Research and Infrastructure (Mizzou CERI), Greg L. Gilliom Professor of Cyber Security in the College of Engineering
University of Missouri-Columbia
Mon, December 13, 2021 at 4:00 PM

Recent science and engineering innovations are increasingly becoming data-intensive and use workflows to automate integration and analysis of voluminous data to test hypotheses. Particularly, the workflows require fast and secure access to: big data archives, heterogeneous software and cloud/edge computing resources. In addition, deriving critical insights from the big data requires knowledge discovery techniques that identify latent topic associations within a domain, or even across domains.  As a result,  there are major challenges that need to be overcome for principled cyber and software automation approaches to data-intensive analytics using systematic integration of cyberinfrastructure technologies. In this talk, I will present our efforts on developing recommender systems equipped with intelligent agents to help decision makers of real-world applications to significantly improve efficiency and effectiveness of their workflow operations initially through automation, and ultimately through autonomous operation. I will conclude the talk with case studies involving integration of our recommender systems with intelligent agents within bioinformatics and advanced manufacturing domains,  and demonstrate how our approaches can spur high-productivity and interdisciplinary collaborations to create transformative scientific breakthroughs that greatly benefit our society.

Prasad Calyam

Prasad Calyam is an Associate Professor in the Department of Electrical Engineering and Computer Science at University of Missouri-Columbia, and Director of the Center for Cyber Education, Research and Infrastructure (Mizzou CERI). He is also the Greg L. Gilliom Professor of Cyber Security in the College of Engineering. His research and development areas of interest include: Cloud Computing, Machine Learning, Artificial Intelligence, Cyber Security, and Advanced Cyberinfrastructure. He has published over 175 peer-reviewed papers in various conference and journal venues. As the Principal Investigator, he has successfully led teams of graduate, undergraduate and postdoctoral fellows in Federal, State, University and Industry sponsored R&D projects totaling over $25 Million. His research sponsors include: National Science Foundation (NSF), Department of Energy (DOE), National Security Agency (NSA), Department of State (DOS), Army Research Lab (ARL), VMware, Cisco, Raytheon-BBN, Dell, Verizon, IBM and others. His basic research and software on multi-domain network measurement and monitoring has been commercialized as ‘Narada Metrics’. He is a Senior Member of IEEE.