Amal Abd El-Raouf

Dr. Amal Abd El-Raouf is a Full Time Professor in the Computer Science Department at Southern Connecticut State University, where she has served since 2005. She teaches undergraduate courses including Introduction to Programming, Data Structures, and Algorithms, along with graduate Software Engineering and Software Quality courses. As an active member of the Greater Hartford Association for Computing Machinery (ACM) Chapter, she contributes to the regional computing community.

Her academic credentials include a PhD in Computer Science and Engineering from the University of Connecticut (2005) and Bachelor's and Master's degrees from Cairo University. This foundation supports her dual expertise in theoretical computer science and practical software development.

Dr. Abd El-Raouf's research spans critical areas of modern computing: Software Engineering and Quality form the core of her work, extended into Big Data analytics, Real-time Systems, Parallel and Distributed Computing, and Object-Oriented Systems. Her investigations address fundamental challenges in software performance, maintenance, and reliability, with recent work bridging into bioinformatics and machine learning applications.

Analysis of her 2008-2019 publications reveals an evolving research trajectory: beginning with foundational work in software restructuring and maintenance, she progressively incorporated Big Data techniques and machine learning. Notable trends include applying clustering algorithms to software architecture, optimizing distributed systems, and developing predictive models for sales and software reliability - demonstrating consistent innovation from theoretical frameworks to practical implementations.

Her research program is substantially supported by diverse funding sources:

• NASA Connecticut Space Consortium grants for bioinformatics initiatives ($2,000, 2024-2025)
• Microsoft Azure Cloud Grant ($20,000, 2016-2017)
• CSU Research Grants for Big Data performance optimization ($3,000, 2018-2019) and software reliability prediction ($3,750, 2017-2018)
• NASA Space Grant for cloud-based gene expression analysis ($7,500, 2015-2016)

While specific lab infrastructure isn't detailed in available materials, her collaborative publications with researchers like Hanafi and Fergany indicate active research partnerships across institutions. Her current work on the NASA-funded Women in Bioinformatics Workshop signals ongoing expansion into interdisciplinary computational biology applications.