معرفی
Steven J. Zeil is an Associate Professor in the Department of Computer Science within the College of Sciences at Old Dominion University. He has maintained an active teaching and research career for several decades, with evidence of courses scheduled through Summer 2025.
- Ph.D. in Computer Science, The Ohio State University (1981)
- M.S. in Computer Science, The Ohio State University (1978)
- B.A. in Physics and Applied Mathematics, Thomas More College (1977)
Dr. Zeil's research interests have evolved significantly over his career. Initially focused on software testing and reliability measurement, his work has expanded to include digital libraries, metadata extraction systems, and distance learning technologies. His research projects include Extract (metadata extraction from large document collections), AlgAE (an algorithm animation engine for computer science instruction), and work on reliability testing methodologies including Reliability Growth During Non-Representative Testing, Knowledge-Based Refinement During Testing, and Perturbation Testing. His work bridges theoretical computer science with practical applications in software engineering and education.
Analysis of Dr. Zeil's recent publications reveals a strong focus on software engineering fundamentals, semantic web technologies, and educational tools. His work spans from theoretical aspects of software testing and configuration management to practical implementations of metadata extraction systems and algorithm animation engines. The publications demonstrate consistent expertise in software engineering principles while adapting to emerging technologies like semantic web and ontology-based systems.
Dr. Zeil has secured numerous research grants, primarily from federal sources, with projects focused on metadata extraction systems for government technical documents collections. These include multiple contracts with the Department of Defense (DTIC) and NASA, totaling hundreds of thousands of dollars in research funding.
As an educator, Dr. Zeil teaches a wide range of computer science courses including CS 252 (Introduction to Unix for Programmers), CS 361 (Advanced Data Structures and Algorithms), CS 260 (C++ for Programmers), CS 261 (Java for Programmers), CS 350 (Software Engineering), and CS 355 (Principles of Programming Languages). Many of his courses are offered as distance learning options, reflecting his interest in online education technologies. His course materials are extensively documented on his personal website, providing access to lecture notes, slides, and ungraded labs for students.
