AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
NM

Nancy R. Mead

Software Engineering

Carnegie Mellon University

No ratings yetBe the first to rate
Loading...

About Nancy R. Mead at Carnegie Mellon University (CMU)

Nancy R. Mead is a prominent academic figure at Carnegie Mellon University, where they contribute to the Software Engineering through intensive research in Information Security, Cyber Security, Software Engineering Education, Open Source Software, Supply Chain Risk Management, Software Engineering Practices, AI in Software Engineering. A representative example of their recent contribution is the study titled "An antitrust amendment for stakeholder", which offers critical insights into the dynamics of Information Security and Cyber Security. Additional work such as "Introduction to the Minitrack on Industry, Quality, and Social Issues (IQSI)" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

Information SecurityCyber SecuritySoftware Engineering EducationOpen Source SoftwareSupply Chain Risk ManagementSoftware Engineering PracticesAI in Software Engineering
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

Research output metrics for Nancy R. Mead aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations2

Emerging researcher

Publications2

Selective publication record

h-index1

Developing track record

Lab Environment

No lab data yet for Nancy R. Mead

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.