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Amos O Olagunju
St Cloud State University
St Cloud, Minnesota
 

Amos Olagunju is a professor in the Department of Computer Science and Information Technology at St. Cloud State University (SCSU) in Minnesota. He previously served as the interim dean of undergraduate studies for two years at SCSU. Prior to that position, he served as the dean of the School of Graduate Studies and chief research officer at Winston Salem State University in North Carolina. Amos served as the chair of the Mathematics and Computer Science Department, and later the Computing and Information Sciences Department, at Delaware State University (Dover, DE). Before that, he taught in the Asian Division at the University of Maryland University College, North Carolina A&T State University, and Michigan State University.

A faculty fellow and later a senior faculty fellow selected jointly by the American Society of Engineering Education and the Navy, Amos developed manpower mobilization and data-mining algorithms for monitoring the retention behaviors of personnel. As a member of the technical staff at Bell Communications Research (now Telcordia), he developed an architecture for a generalized C transaction environment, quantitative models for system workload projection and characterization, software metrics, and managerial decision support systems.

Amos developed statistical methods for the determination of content validity to obtain his doctorate in educational research and evaluation from the University of North Carolina at Greensboro. He investigated a distributed model as a basis for keyword detection to earn his master’s in computer and information sciences from Queen’s University (Canada). He received a bachelor’s degree in mathematics and computer science from Ahmadu Bello University in Nigeria. Amos was designated as an ACM senior member in 2007. His current research interests are in the areas of bioinformatics, quantitative security risk assessments, numerical computing, and artistic storytelling of breakthrough computing algorithms and technologies. He has been a reviewer for Computing Reviews since 2005, and has written over 100 reviews.


     

A comprehensive guide for Web3 security: from technology, economic and legal aspects
Budorin D., Huang K., Tan L., Ma W., Zhang Z., Springer International Publishing, Cham, Switzerland, 2023. 259 pp.  Type: Book (9783031392870)

The rapidly emerging technologies for Web3 applications and digital assets pose challenges for the creators, legislators and end users of complicated financial ecosystems. Today, security threats continue to be the potent enemies of technologies a...

 

What came first, math or computing?
Vardi M. Communications of the ACM 66(11): 5-5, 2023.  Type: Article

The intellectual debate on the emergence of mathematics and computing is long overdue. Did mathematicians create the field of computer science (CS), or have mathematics and CS coexisted for a long time? Vardi offers some succinct insights into thi...

 

GraphQL: a systematic mapping study
Quiña-Mera A., Fernandez P., García J., Ruiz-Cortés A. ACM Computing Surveys 551-35, 2023.  Type: Article

Software architects ought to continuously strive to develop secure, dependable, and effective software services that can cope with the scalability, revival, idleness, multi-occupancy, and other operational issues of cloud applications. To overcome...

 

 Hierarchical reinforcement learning for efficient and effective automated penetration testing of large networks
Ghanem M., Chen T., Nepomuceno E. Journal of Intelligent Information Systems 601-23, 2023.  Type: Article

Cybersecurity practitioners require alternative approaches and tools for combating the emerging security threats worldwide. How effective are current penetration testing (PT) training modules in cybersecurity degree and certification programs for ...

 

ACE: toward application-centric, edge-cloud, collaborative intelligence
Wang L., Zhao C., Yang S., Yang X., McCann J. Communications of the ACM 6662-73, 2023.  Type: Article

Futuristic artificial intelligence (AI) applications in electronic business, urban surveillance, and medicine require more teamwork among researchers and practitioners. But with the rising number of autonomous AI applications in different domains,...

 
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