Michael Georgiopoulos

About Michael Georgiopoulos

Michael Georgiopoulos, With an exceptional h-index of 35 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Central Florida, specializes in the field of Machine Learning, Neural Networks, Neuro-Evolutionary Neural Networks, Kernel-Based Methods.

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

The Impact of a Community of Practice Scholarship Program on Students’ Computing Identity

Board 391: Supporting and Understanding Undergraduates' Computing Pathways Through the Flit-GAP S-STEM Program

Factors Affecting the Future Career Pathway Decisions of Lower-income Computing Students

Supporting and Understanding Undergraduates' Computing Pathways Through the Flit-GAP S-STEM Program

Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions

How do educational experiences predict computing identity?

Impact of Social and Programmatic Experiences on Students’ Interest in Pursuing a Graduate Degree in a Computing Field

Uneven playing field: Examining preparation for technical interviews in computing and the role of cultural experiences

Michael Georgiopoulos Information

University

Position

Professor of ECE

Citations(all)

6236

Citations(since 2020)

1713

Cited By

5082

hIndex(all)

35

hIndex(since 2020)

16

i10Index(all)

114

i10Index(since 2020)

31

Email

University Profile Page

Google Scholar

Michael Georgiopoulos Skills & Research Interests

Machine Learning

Neural Networks

Neuro-Evolutionary Neural Networks

Kernel-Based Methods

Top articles of Michael Georgiopoulos

The Impact of a Community of Practice Scholarship Program on Students’ Computing Identity

ACM Transactions on Computing Education

2024/2/19

Board 391: Supporting and Understanding Undergraduates' Computing Pathways Through the Flit-GAP S-STEM Program

2023/6/25

Stephen Secules
Stephen Secules

H-Index: 7

Michael Georgiopoulos
Michael Georgiopoulos

H-Index: 17

Factors Affecting the Future Career Pathway Decisions of Lower-income Computing Students

2023/6/25

Supporting and Understanding Undergraduates' Computing Pathways Through the Flit-GAP S-STEM Program

American Society for Engineering Education Annual Conference: NSF Poster Session

2023/6

Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions

Pattern Recognition

2022/4/1

Michael Georgiopoulos
Michael Georgiopoulos

H-Index: 17

How do educational experiences predict computing identity?

ACM Transactions on Computing Education (TOCE)

2021/11/1

Impact of Social and Programmatic Experiences on Students’ Interest in Pursuing a Graduate Degree in a Computing Field

2021 ASEE Annual Conference

2021/7

Uneven playing field: Examining preparation for technical interviews in computing and the role of cultural experiences

2021 ASEE Virtual Annual Conference Content Access

2021/7

The impact of technical interviews, and other professional and cultural experiences on students' computing identity

2021/6/26

Non-linear Manifold Clustering based on Conformity Index

2020/11/1

George Atia
George Atia

H-Index: 15

Michael Georgiopoulos
Michael Georgiopoulos

H-Index: 17

Understanding the experiences that contribute to the inclusion of underrepresented groups in computing

2020/10/21

A multi-criteria approach for fast and robust representative selection from manifolds

IEEE Transactions on Knowledge and Data Engineering

2020/9/15

Michael Georgiopoulos
Michael Georgiopoulos

H-Index: 17

Computing Pathways: A quantitative inquiry into the dynamic pathways of students in computing with gender comparisons

2020 ASEE Virtual Annual Conference

2020/6

A multi-criteria approach for fast and outlier-aware representative selection from manifolds

arXiv preprint arXiv:2003.05989

2020/3/12

George Atia
George Atia

H-Index: 15

Michael Georgiopoulos
Michael Georgiopoulos

H-Index: 17

See List of Professors in Michael Georgiopoulos University(University of Central Florida)