CMU SEI Research Review has ended

Create Your Own Event

CMU SEI Research Review

#1

Train but Verify: Towards Practical AI Robustness

#2

Investigating Techniques for Summarizing and Searching Video

#3

Ethics in AI Engineering

#4

Knowing When You Don’t Know: Engineering AI Systems in an Uncertain World

#5

Topics in Advanced Computing: The Promise and Challenges of Recommendation Systems for the DoD

#6

Advancing Cyber Operator Tradecraft through Automated Static Binary Analysis: Program Reachability for Vulnerability and Malware Analysis

#7

Automated Code Repair for Memory Safety

#8

Static Code Analysis Classification

#9

Combining Automated Code Repair for Memory Safety and Static Code Analysis Systems

#10

Toward the Use of Human-Machine Teaming and Fully Autonomous Operations

#11

Untangling the Knot: Enabling Rapid Software Evolution

#12

TwinOps – Digital Twins meet DevOps

#13

Model Based Engineering with AADL: Transitioning Research to Practice

#14

Rapid Adjudication of Static Analysis Alerts During Continuous Integration

#15

Automated Design Conformance During Continuous Integration

#16

CMU SEI Agile Virtual Schoolhouse