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Olagunju, Amos
St Cloud State University
St Cloud, Minnesota
 
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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.

 
 
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   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 ...

Dec 18 2023  
  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...

Dec 1 2023  
  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...

Sep 5 2023  
  Algorithms for the people: democracy in the age of AI
Simons J., PRINCETON UNIVERSITY PRESS, Princeton, New Jersey, 2023. 320 pp.  Type: Book (0691244006)

The roles of artificial intelligence (AI) and machine learning (ML) in society and everyday pursuits continue to be a subject of intellectual debate for business executives, politicians, and research practitioners. Furthermore, how should AI globa...

Aug 7 2023  
  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,...

Aug 4 2023  
  A survey of inverse reinforcement learning
Adams S., Cody T., Beling P. Artificial Intelligence Review 55(6): 4307-4346, 2022.  Type: Article

The process of discovering and incorporating knowledge from educators into machine learning (ML) poses major challenges. Beyond coding the known or derived characteristics of systems into ML algorithms, how should innovative researchers discover, ...

May 1 2023  
  Parallel-and-stream accelerator for computationally fast supervised learning
Hector E., Luo L., Song P. Computational Statistics & Data Analysis 177(1): 1-12, 2022.  Type: Article

Large enterprises with massive amounts of data require reliable and efficient algorithms for exploring and forecasting trends in available supplies, user purchases, and advertisements. The scalability of the MapReduce approach is advantageous for ...

Feb 20 2023  
  Rule-based machine learning classification and knowledge discovery for complex problems
Urbanowicz R. ACM SIGEVOlution 7(2-3): 3-11, 2020.  Type: Article

The intricate spiraling problems in areas such as aeronautics, bioinformatics, and meteorology require innovative algorithms for intellectual discovery from unique data types and sources. How should “Space Age” intelligent-based system...

Dec 8 2022  
   What every engineer and computer scientist should know: the biggest contributor to happiness
Picard R. Communications of the ACM 64(12): 40-42, 2021.  Type: Article

Obviously, people in this world go through periods of happiness and unhappiness. But do computer engineers and scientists really understand the factors that account for true happiness in daily life? Perhaps there are useful features fo...

Jul 25 2022  
  Analysis of COVID-19 tracking tool in India: case study of Aarogya Setu mobile application
Gupta R., Bedi M., Goyal P., Wadhera S., Verma V. Digital Government: Research and Practice 1(4): 1-8, 2020.  Type: Article, Reviews: (2 of 2)

Coronavirus, like cold and flu viruses, will perhaps remain prevalent in societies around the world, even with the available vaccinations and drug treatments. Despite the existing high-tech tools for tracking and preventing the spread ...

Jul 19 2022  
 
 
 
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