Education & Academic Journey

Academic Degrees & Qualifications

2014 – 2022

Ph.D. & MSc in Computer and Information Science

University of Arkansas at Little Rock, Little Rock, AR

Focus: Data and Information Science, Graph-Based Unsupervised Entity Resolution.
Dissertation: "Graph-Based Unsupervised Entity Resolution for Identifying Entity Profiles in Ambiguous Data"
Mentors: Dr. John Talburt, Dr. Elizabeth Pierce • Outstanding Doctoral Graduate Award (2022)

2017 – 2021

Ph.D. & MSc Graduate Studies (Transferred 72 Credit Hours)

The University of Texas at Austin, Austin, TX

School of Information and Department of Statistics & Data Sciences.
Fellowship & Graduate Research Assistant at Texas Advanced Computing Center (TACC).
Mentors: Dr. Jacek Gwizdka, Dr. Ying Ding • UT Austin Graduate Recruitment Fellowship Award

2011 – 2013

Professional MSc in Computer and Information Science

Arkansas Tech University, Russellville, AR

Graduation Project: "Displaying Data Structures & Algorithms in a Graphical User Interface for Genesis Programming Language"

2003 – 2008

BSc in Electrical & Computer Engineering (Systems Engineering)

Ain Shams University, Cairo, Egypt

Capstone Project: "Intersection Collision Avoidance System (ICAS) for Automated Traffic Systems" (Distinctive Capstone Project Award)

2000 – 2003

General Secondary Diploma (Mathematics Major)

The English School in Cairo (El Nasr School), Cairo, Egypt

Professional Engineering Certifications:
FE (Fundamentals of Engineering)
ITIL Certified
Egyptian Syndicate of Engineers (2008)

Academic Endeavors, Mission & Vision

I am an Assistant Professor and researcher whose academic foundation was shaped by systematic training in Mathematics, Systems Engineering, and Computer & Information Science across Egypt and leading United States institutions. My Ph.D. work investigated automated data integration, entity resolution, and knowledge discovery, bridging graph theory, machine learning, and natural language processing.

Information Science combines computer science, data science, library science, psychology, and cognitive ergonomics. Coming from an Electrical and Computer Engineering background, I was drawn to this interdisciplinary synthesis to understand how complex data architectures interact with real-world users and biomedical discovery pipelines.

Mission

To advance scientific discovery by fostering an accessible, ethical, and artificially intelligent data ecosystem. Driving automatic integration of scientific information, ensuring responsible and sustainable scientific computing, and empowering underrepresented groups in computational and data sciences.

Vision

A future where data quality, graph theory, and foundation models unite into transparent, ethical systems that accelerate biomedical discovery. To define the next generation of biomedical intelligence where structured relational networks clarify the underlying logic of life.

Research Expertise & Technical Skillset

Core Research Domains

  • • Entity Resolution & Data Quality: Graph theory, modularity optimization, and NLP for ambiguous records.
  • • Biomedical Information Retrieval: Graph representation learning and vector embedding models for PubMed literature.
  • • Human Factors & Cognitive Modeling: Eye tracking, scanpath entropy, and operator cognitive load.
  • • Scientific Visualization: WebGL, OpenGL, Unity, and immersive CAVE VR environments.

Technical Tools & Systems

  • • Modern Stack: Python, C/C++, Unix, PyTorch, PyTorch Geometric, TensorFlow, Scikit-Learn.
  • • High-Performance Computing: HPC cluster configuration, CUDA particles, SLURM, TACC workflows.
  • • Data Engineering: SQL Server, T-SQL views & triggers, Microsoft BI Studio Data Warehouses.
  • • Interactive 3D & Graphics: OpenGL, WebGL, D3.js, OpenCV, VRPN, Leap Motion, Unity.

Universities Attended & Industry Employers

Academic Institutions

Industry & Professional Experience