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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 ...
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Dec 18 2023 |
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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...
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Jul 25 2022 |
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People, Ideas, Milestones: A Scientometric Study of Computational Thinking
Saqr M., Ng K., Oyelere S., Tedre M. ACM Transactions on Computing Education (TOCE) 3(21): 1-17, 2021. Type: Article
The fascinating debate over the definition, scope, tools, and environments for advocating computational thinking (CT) promotes interdisciplinary educational collaborations and discoveries among scientists worldwide. But what should innovative advo...
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Dec 30 2021 |
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Modern debugging: the art of finding a needle in a haystack
Spinellis D. Communications of the ACM 61(11): 124-134, 2018. Type: Article
The rapidly emerging smart Internet of Things (IoT) hardware and devices that make our lives comfortable and secure require faultless and reliable software. But what techniques and tools should programmers and software engineers be cog...
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Oct 26 2020 |
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Schedulability analysis of tasks with corunner-dependent execution times
Andersson B., Kim H., de Niz D., Klein M., Rajkumar R., Lehoczky J. ACM Transactions on Embedded Computing Systems 17(3): 1-29, 2018. Type: Article
Scarce computer memory and processor core resources create crucial challenges to the real-time execution of concurrent software. How should a multicore processor be efficiently programmed to process concurrent software with different e...
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Nov 22 2019 |
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Computational thinking in a non-majors CS course requires a programming component
Walker H. ACM Inroads 6(1): 58-61, 2015. Type: Article
Modern academic disciplines make use of computers in teaching and learning. Computational thinking is a valuable concept for helping students to reason precisely about accurate and efficient solutions to a variety of real-world problem...
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Apr 14 2015 |
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The effect of simulation games on the learning of computational problem solving
Liu C., Cheng Y., Huang C. Computers & Education 57(3): 1907-1918, 2011. Type: Article, Reviews: (3 of 3)
Problem solving requires comprehension and a strategic plan for designing and testing a solution. Simulation games might promote learning and enhance computational problem-solving skills. The design and realization of effective simulat...
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Apr 6 2012 |
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Small deviations for two classes of Gaussian stationary processes and Lp-functionals, 0 < p ≤ ∞
Fatalov V. Problems of Information Transmission 46(1): 62-85, 2010. Type: Article
Functional quantization in information theory creates stimulating questions: How should sharp asymptotes for quantization errors of a large class of Gaussian measures on a Hilbert space be derived? How should high-resolution theory of ...
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Nov 22 2010 |
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