Master of Science in Software Engineering

Goseva-Popstojanova’s research interests are in software engineering, cybersecurity, and data analytics. Her current research is focused on using machine learning to automatically classify software vulnerabilities and to detect fault-prone parts of software systems. She also does research focused on verification and validation of autonomous systems and application of machine learning in radio astronomy for detection of pulsars. Some of her published work includes a series of research works that are based on real NASA missions' software as well as large open-source projects focused on prediction and empirical evaluation of software faults, failures, and vulnerabilities. She produced pioneering work on intrusion tolerant and resilient systems. For more information review the Q&A session with her.

Dzielski leads the online Master of Science Software Engineering graduate program at WVU. He has participated on various research grants including CITeR and ARPA-E GENSETS programs. He is performing software engineering research for NASA IV&V through the NASA West Virginia Space Grant Consortium in the areas of effort and risk of architecture technical debt and the evaluation of binary code. His primary research focus includes distance learning environments, collaborative environments, software engineering, effort and risk associated to ATD, business process management and supply chain, enterprise architecture frameworks, and interoperability. Dzielski is a results-oriented Project Management Professional (PMP®), Certified Management Accountant (CMA®), Certified SAFe® Agilist, and an IEEE senior member, with 35 years of extensive experience.

Edgell is a lecturer at West Virginia University with 31-years of technical, program and executive management experience. Edgell has served as the Chief Technology Officer for DHA Group, Inc. and Executive Director at ManTech International, Vice President of Technology at Marada Corporation and Project Leader/Software Engineer at Bell Labs. He has experience spanning multiple areas, including vision development, domain analysis, requirements development, product design, implementation, testing of specific applications, program P & L, business development, establishment of partnerships, and program staffing.

Hany Ammar is a Professor Emeritus of computer engineering in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. He has published more than 200 articles in prestigious international journals and conference proceedings, and co-authored a book entitled Pattern-Oriented Analysis and Design published by Addison-Wesley. Ammar has been the principal investigator on a number of research projects on software risk assessment and software architecture metrics funded by NASA and NSF. He has served as chairman and as a member of steering and program committees for several international conferences. His education includes:

• PhD, University of Notre Dame
• MS, electrical engineering, University of Texas at El Paso
• BS, physics, Cairo University
• BS, electrical engineering, Cairo University

Brian Woerner is a Professor in the Lane Department of Computer Science & Electrical Engineering, where he teaches and conducts research on communications and networking.

Dr. Woerner received his Bachelor's degree in Computer & Electrical Engineering from Purdue University in 1986. He received MS and Ph.D. degrees in Electrical Engineering Systems from the University of Michigan, in 1987 and 1991, respectively. He also holds a Master of Public Policy degree from the University of Michigan, awarded in 1992.

Dr. Woerner initially focused on signal processing techniques to improve the physical layer performance of wireless communications systems, but in recent years, Dr. Woerner’s focus has shifted to include networks, security and autonomous vehicles.