Steven Carr

Steven Carr

Western Michigan University

H-index: 24

North America-United States

About Steven Carr

Steven Carr, With an exceptional h-index of 24 and a recent h-index of 9 (since 2020), a distinguished researcher at Western Michigan University, specializes in the field of Compiler optimization, computer security education.

His recent articles reflect a diverse array of research interests and contributions to the field:

Development and evaluation of a modular experiential learning curriculum for promoting AI readiness

On Phishing: Proposing a Traffic Behavior-Based Model to Detect, Prevent, and Classify Webpage Suspicious and Malicious Activities

Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment

A Balanced Pedagogical Approach toward AI Readiness Education for STEM Learners: Instilling a balanced view of AI capabilities through active learning in both traditional …

Improving Healthcare Outcomes with Learning Models for Machine Commonsense Reasoning Systems

Case Study: Experiential Learning Activities that Build Trustworthiness in AI Across Multiple STEM Disciplines

Modular experiential learning for secure, safe, and reliable AI: Curricular Initiative to Promote Education in Trustworthy AI

Promoting AI Trustworthiness through Experiential Learning

Steven Carr Information

University

Position

___

Citations(all)

3529

Citations(since 2020)

336

Cited By

3245

hIndex(all)

24

hIndex(since 2020)

9

i10Index(all)

40

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Steven Carr Skills & Research Interests

Compiler optimization

computer security education

Top articles of Steven Carr

Development and evaluation of a modular experiential learning curriculum for promoting AI readiness

Education and Information Technologies

2023/6/22

On Phishing: Proposing a Traffic Behavior-Based Model to Detect, Prevent, and Classify Webpage Suspicious and Malicious Activities

2023/2/7

Reusable Toolkit for Natural Language Processing in an Ambient Intelligence Environment

2022/12/4

A Balanced Pedagogical Approach toward AI Readiness Education for STEM Learners: Instilling a balanced view of AI capabilities through active learning in both traditional …

2022/11/21

Improving Healthcare Outcomes with Learning Models for Machine Commonsense Reasoning Systems

2022/11/7

Case Study: Experiential Learning Activities that Build Trustworthiness in AI Across Multiple STEM Disciplines

PAPER PROCEEDINGS

2022/9/25

Modular experiential learning for secure, safe, and reliable AI: Curricular Initiative to Promote Education in Trustworthy AI

2022/9/21

Promoting AI Trustworthiness through Experiential Learning

2022/8/23

On phishing: Url lexical and network traffic features analysis and knowledge extraction using machine learning algorithms (a comparison study)

2022/7/22

Work in progress: Experiential Learning Modules for Promoting AI Trustworthiness in STEM Disciplines

2022/3/13

Workshop: Hands-on Sampling of Experiential Learning Modules that Promote AI Competency Across STEM Disciplines

2022/3/13

Design and Use of a Visualization for Teaching Integer Coercion

2022/2/22

Consumer artificial intelligence mishaps and mitigation strategies

IEEE Consumer Electronics Magazine

2021/4/27

Admonita: A Recommendation-based Trust Model for Dynamic Data Integrity.

2021

Visualization and analysis for C code security

Journal of Computing Sciences in Colleges

2020/10/1

A system for visualizing the process address space in the context of teaching secure coding in C

2020/2/26

SecureCvisual: Visualization and Analysis for C Code Security

2020/2/26

See List of Professors in Steven Carr University(Western Michigan University)