Islam Akef Ebeid

Islam Akef Ebeid

Assistant Professor of Computer Science at Texas Woman's University

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Mission

To contribute to the organization, integration, cleaning, archival, and mining of all scientific information.
To promote the collaboration between data science, artificial intelligence, and the sciences.
To contribute to making scientific computing and artificial intelligence more ethical and environmentally sustainable.
To empower underrepresented groups in computational, information, and data sciences, like women, refugees, and financially challenged populations.

I recently graduated from the University of Arkansas at Little Rock with a Ph.D. in Computer and Information Science, focusing on Data and Information Science. I worked under the guidance and mentorship of John Talburt and Elizabeth Pierce. Prior to that, I was a Ph.D. student at the University of Texas at Austin, where I worked with Ying Ding. Other mentors I worked with in the past years: Serdar Bozdag, Mariofanna Milanova, Ningnig Wu, Yan Zhang, Jacek Gwizdka, Abhra Sarkar, Mohammed Yassine Belkhouche, Carolina Cruz Neira, Dirk Reiners, Roger Fang, Jerry Wood, Larry Morell.

iebeid@twu.edu, iaebeid@utexas.edu, iaebeid@gmail.com

C: 512 921 1311, O: 940 898 2165

Texas Woman’s University

MCL 412

Denton, TX 76204

University of North Texas, Denton, Texas (2022): Postdoctoral Training in Computer Science

University of Arkansas at Little Rock, Little Rock, Arkansas (2014-2022): MSc, Ph.D. in Computer & Information Science

The University of Texas at Austin, Austin, Texas (2017-2020): Graduate work at the Ph.D. program in Information Science

Arkansas Tech University, Russellville, Arkansas (2011-2013): Professional MSc in Computer & Information Science

Ain Shams University, Cairo, Egypt (2003-2008): BSc in Electrical & Computer Engineering

The English School in Cairo (El Nasr School), Cairo, Egypt (2000-2003): General Secondary Diploma in Mathematics

Certifications: FE, ITIL

Data2AI4Science Laboratory @ TWU

The Advacned Computing Center @ TWU

Center for Refugee Interdisciplinary Studies and Education (RISE) @ TWU

Recent Projects

Recent Publications

Foundations of Data Science
Fundamentals of Informatics
Computer Science II
Statistical Programming
Programming for Informatics
Database Management Systems
Data Warehousing
The Unix Operating Systems

Hiking & Photography
Writing

Research Interests

My research interests and experiences are centered around the role of data quality, curation, and engineering in artificial intelligence and their applications in the sciences. I develop and adapt methods and frameworks rooted in graph theory, natural language processing, machine learning, and deep learning. I apply the developed methods in information retrieval (computer science), data mining of digital libraries and information networks (information science), biomedical informatics (biology), non-profit studies (social sciences), and human-computer interaction (psychology). My vision is to aid and automate the process of scientific discovery and inquiry by developing ethical and artificially intelligent systems capable of integrating, cleaning, organizing, and mining scientific information automatically and efficiently.

Main research specializations:

Entity resolution and matching with graph theory and natural language processing
Biomedical information retrieval with graph representation learning

Secondary research specializations:

Human factors in computing and information seeking with eye tracking
Scientific visualization of biological data

My current skillset (Python, C\C++, Unix):

Graph theory and network mining algorithms
Applied linear algebra algorithms
Natural language processing algorithms
Machine learning and deep learning models and experimentation with TensorFlow
Setting up high-performance computing environments and data management systems

My older skillset (C\C++, Java, SQL):

Experimental design and statistical analysis in eye-tracking studies
Image processing with OpenCV, mainly for filtering, localization, and mapping
Computer graphics with OpenGL and WebGL for creating scientific visualizations
Software engineering, especially web applications and services based on the MVC design pattern and backend ETL operations