Heba Elgazzar

Education

• Ph.D., Computer Science and Engineering, Speed School of Engineering, University of Louisville
• M.S., Computer Science, Speed School of Engineering, University of Louisville
• B.S., Electrical Engineering, Faculty of Engineering, Zagazig University, Egypt

Professional Certificate:

• Data Science and Big Data Analytics: Making Data-Driven Decisions, Massachusetts Institute of Technology (MIT), USA

Teaching Interests

• Machine Learning
• Algorithms
• Data Structures
• Programming Languages

Research Interests

• Machine Learning
• Data Science and Data Mining
• Network Science and Network Analytics
• Social Networks
• Image Mining and Image Processing

Profile

Dr. Heba Elgazzar is an assistant professor of computer science in the School of Engineering and Computer Science at Morehead State University. She received both her Ph.D. in Computer Science and Engineering and her M.S. in Computer Science from the University of Louisville. She received her B.S. in Electrical Engineering from Zagazig University, Egypt. Her research interests include machine learning, data science, data mining, network science, network analytics, social networks, image mining and image processing. She served as a reviewer and member of the editorial board of international journals and as a member of the technical program committee of international conferences. Elgazzar taught various computer science courses at Morehead State University at the undergraduate and graduate levels. She received the Outstanding Teaching Award from the Department of Mathematics, Computer Science, and Physics at Morehead State University in 2013. Elgazzar is a professional member of the Association of Computing Machinery (ACM), and she is the faculty sponsor and advisor of the ACM Student Chapter at Morehead State University. She served as an advisor and mentor for many undergraduate and graduate students. She enjoys interacting with her students and helping them succeed in their future careers.

 

PUBLICATIONS AND PRESENTATIONS:

• Heba Elgazzar, "Activity Recognition for Elderly using Machine Learning Algorithms,"  accepted for publication as a full transaction paper in Advances in Artificial Intelligence and Applied Cognitive Computing, Springer Nature-Research Book Series, Transactions on Computational Science & Computational Intelligence (accepted also for oral presentation at the 22nd International Conference on Artificial Intelligence (ICAI'20), July 27-30, 2020.)
• Tristan Jordan and Heba Elgazzar, "Content-Based Image Retrieval Using Deep Learning" accepted for publication as a full transaction paper in Advances in Data Science and Information Engineering, Springer Nature-Research Book Series, Transactions on Computational Science & Computational Intelligence (accepted also for oral presentation at the 19th International Conference on Information & Knowledge Engineering (IKE'20), July 27-30, 2020.)
• Craigory Coppola and Heba Elgazzar, "Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks," International Journal of Artificial Intelligence and Applications, Volume 11, Number 1, pp. 65-77, January 2020.
• Sahar Ghanem and Heba Elgazzar, "Prediction of FRP-RC Columns Behavior using Data Mining Techniques," accepted for oral presentation at the EMI/PMC 2020, May 22-29, 2020.
• Craigory Coppola and Heba Elgazzar, "Novel Machine Learning Algorithms for Centrality and Clique Detection in Social Networks," Posters-at-the-Capitol, Frankfort, KY, March 5, 2020.
• S. Sareh Ahmadi, Sherif Rashad, and Heba Elgazzar, "Machine Learning Models for Activity Recognition and Authentication of Smartphone Users" presented and published in the proceedings of the IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON 2019), pp. 560-566, October 10-12,2019.
• S. Sareh Ahmadi, Sherif Rashad, and Heba Elgazzar, "Efficient Feature Selection for Intrusion Detection Systems" presented and published in the proceedings of the IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (IEEE UEMCON 2019), pp. 1044-1049, October 10-12, 2019.
• Craigory Coppola and Heba Elgazzar, "Social Network Analytics using Machine Learning" presented at the 2019 National Undergraduate Research Conference (NUCR 2019).
• Asim Chaudhry and Heba Elgazzar, "Design and Implementation of a Hybrid Face Recognition Technique," presented and published in the proceeding of the 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 384-391, January 7-9, 2019.
• Craigory Coppola and Heba Elgazzar, "Social Network Analytics using Machine Learning," presented at the 2019 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2019.
• Andrew McCoy and Heba Elgazzar, "A Study and Implementation of Low Level Graphics APIs," presented at the 2019 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2019.
• Heba Elgazzar and Adel Elmaghraby, "Evolutionary Centrality and Maximal Cliques in Mobile Social Networks," International Journal of Computer Science & Information Technology, Vol 10, No 4, pp. 13-24, August 2018.
• Binamarata Sharma and Heba Elgazzar, "Convolutional Neural Networks for Genus Image Classification," presented at the 2018 National Undergraduate Research Conference (NUCR 2018).
• Christian Sain and Heba Elgazzar, "Prediction of Humans' Movement using Machine Learning Techniques," presented at the 2018 National Undergraduate Research Conference (NUCR 2018).
• Binamarata Sharma and Heba Elgazzar, "Content-based Image Retrieval," presented at the 2018 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2018.
• Christian Sain and Heba Elgazzar, "Prediction of Humans' Movement using Machine Learning Techniques," presented at the 2018 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2018.
• Elgazzar and Adel Elmaghraby, "Network Science Algorithms for Mobile Networks," presented and published in the proceeding of the IEEE SoutheastCon 2017, pp. 1-7, March 30 -April 2, 2017. January 2017.
• William Burriss and Heba Elgazzar, "Comparison between Different Classification Techniques," presented at the 2015 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2015.
• Jorge Chang and Heba Elgazzar, "Image Recognition and Classification Using Multi-Histogram Approach," presented at the 2014 National Conferences on Undergraduate Research (NCUR 2014).
• Jorge Chang and Heba Elgazzar, "Quantum Computing Implementation of Shor's Algorithm," presented at the 2014 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2014.
• Scott Blankenship and Heba Elgazzar, "Data mining on Medical Data," presented at the 2014 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2014.
• Wesley Kelsey and Heba Elgazzar, "PeerSync: Synchronizing without Servers," presented at the 2014 MSU Annual Celebration of Student Scholarship, Morehead State University, April 2014.
• Jorge Chang and Heba Elgazzar, "Content-based Image Retrieval with Multi-histogram Approach," presented at the 99th Annual Meeting of the Kentucky Academy of Science, Computer and Information Sciences Section, Morehead, KY, November 9, 2013. (Presented by Jorge Chang and he was the first place winner in the undergraduate research competition).
• N. Durak, O. Nasraoui, J. Gomez, F. Gonzalez, H. Elgazzar, S. Sellah, C. Rojas, J. Schmelz, J. Roames, K. Nasraoui, “Mining Coronal Loops in Solar Images from the SOHO collection," Annual Meeting of the North American Fuzzy Information Processing Society, 2007. (NAFIPS '07), P. 514 – 519, 24-27 June 2007.
• Heba Elgazzar and Olfa Nasraoui, "Mining Solar Images to Support Astrophysics Research: Phase I," Poster in the 2006 Engineers' Day, Speed School of Engineering, University of Louisville.
• Heba Elgazzar and Olfa Nasraoui, "Needle in a Haystack: Mining NASA's Web Databases," Poster in the 2005 Engineers' Day, Speed School of Engineering, University of Louisville, 2005 (Received Certificate of Recognition, CECS Dept., University of Louisville).
• Heba Elgazzar and Olfa Nasraoui, "Solar Loop Mining for the Coronal Heating Problem," Presentation in the Knowledge Discovery and Web Mining Lab Seminar Series, University of Louisville, 2005.

GRANTS/FUNDING:

• "Design and Implementation of Network Science Algorithms for Social Networks," Internal Research Grant, PI, Morehead State University (January 2020 – December 2020).
• Unity License Grant, Software licensing for 30 activations for Unity Pro 6.x, iOS Pro 6.x, Android Pro 6.x. Awarded by Unity Technologies for use in courses and activities that include game design and development (December 2018-December 2019).