Dr. Heba Elgazzar
Associate Professor
Technology
- About
- Education
- Awards & Honors
- Research
Current Courses
TEC 283.001 Information And Imaging Technologies
TEC 151.001 Introduction To Computer Systems Technology
TEC 143.001 Introduction To Electronics For Data Communication
TEC 283.001 Information And Imaging Technologies
TEC 151.003 Introduction To Computer Systems Technology
TEC 143.001 Introduction To Electronics For Data Communication
PhD Computer Science and Engineering
University of Louisville
Louisville, KY, USA
MS Computer Science
University of Louisville
Louisville, KY, USA
BS Electrical Engineering
Zagazig University
Zagazig, Egypt
IEEE Senior Member in April 2024
IEEE
2024
Best Paper Award
13th IEEE Annual Computing and Communication Workshop and Conference (IEEE CCWC 23)
2023
Best Paper Award
12th IEEE World AI IoT Conference (IEEE AIIoT 2022)
2022
The 2022 Dean’s Citation for Excellence in Research Award,
College of Business and technology, Morehead State University
2022
The Outstanding Teaching Award
Department of Mathematics and Computer Science, Morehead State University
2013
Who’s Who Among Students in American
2006
Invited Member, Golden Key International Honor Society
Golden Key International Honor Society
2005
Book, Chapter
Elgazzar, H. Activity Recognition for Elderly using Machine Learning Algorithms. Springer (2021)
Jordan, T., & Elgazzar, H. Content-Based Image Retrieval using Deep Learning. Advances in Data Science and Information Engineering, Transactions on Computational Science and Computational Intelligence book series, Springer. Advances in Data Science and Information Engineering, Transactions on Computational Science and Computational Intelligence book series, Springer, pp. 771-785, October 2021. DOI: 10.1007/978-3-030-71704-9_56 (2021)
Conference Proceeding
Patel, M., & Elgazzar, H. Pedestrian Crosswalk Safety at Intersections Using YOLOv8 Detection. IEEE UEMCON 2024 (2024)
Patel, M., & Elgazzar, H. Classification of Road Objects using Convolutional Neural Networks. IEEE CCWC 2023 (2023)
Hensley, D., & Elgazzar, H. Classification of Stroke Victims Through Supervised Machine Learning Algorithms and Ensemble Learning. the 12th IEEE Annual Computing and Communication Workshop and Conference (2022)
Mayo, D., & Elgazzar, H. Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods. The 12th IEEE World AI IoT Congress (2022)
Jordan, T., & Elgazzar, H. Stock Market Prediction using Text-based Machine Learning. IEEE IEMTRONICS (2020)
Journal Article
Hensley, D., & Elgazzar, H. Design and Implementation of The Morehead-Azalea Compiler (MAC) Vol. 15 (2025)
Elgazzar, H., Spurlock, K., & Bogart, T. Evolutionary Clustering and Community Detection Algorithms for Social Media Health Surveillance. Machine Learning with Applications (MLWA) Journal. Elsevier Vol. 6 (2021)
Ghanem, S., & Elgazzar, H. Predicting the behavior of reinforced concrete columns confined by fiber reinforced polymers using data mining techniques. Springer Nature Applied Sciences 3.2 (2021)
Cappola, C., & Elgazzar, H. Novel Machine Learning Algorithms for Centrality and Cliques Detection in YouTube Social Networks Vol. 11 (2020)
Elgazzar, H., & Elmaghraby, A. Evolutionary Centrality and Maximal Cliques in Mobile Social Networks (2018)
Software
Elgazzar, H., Spurlock, K., & Bogart, T. Evolutionary DBSCAN and Louvain Method for Dynamic Community Discovery in Health-Related Social Network Data. Code Ocean (2021)