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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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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, ...
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May 1 2023 |
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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 ...
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Feb 20 2023 |
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RxNet: Rx-refill graph neural network for overprescribing detection Zhang J., Kuo A., Zhao J., Wen Q., Winstanley E., Zhang C., Ye Y. CIKM 2021 Queensland, Australia, Nov 1-5, 2021) 2537-2546, 2021. Type: Proceedings The intensifying rates of opioid overuse and drug misuse require effective drug prescription scrutinizing tools. Despite the available prescription drug monitoring programs (PDMPs) in countries like the US, how should indispensable PDMPs be devise...
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Jan 6 2023 |
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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...
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Dec 8 2022 |
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Service robots for affective labor: a sociology of labor perspective Dobrosovestnova A., Hannibal G., Reinboth T. AI & Society 2(37): 487-499, 2021. Type: Article Smart robots will likely continue to provide hospitality and industrial management services. The continued increase of robotic roles in technologically advanced societies requires better understanding of human-robot interaction (HRI). But are the ...
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Oct 26 2022 |
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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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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 ...
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Jul 19 2022 |
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SARDE: A Framework for Continuous and Self-Adaptive Resource Demand Estimation Grohmann J., Eismann S., Bauer A., Spinner S., Blum J., Herbst N., Kounev S. ACM Transactions on Autonomous and Adaptive Systems 2(15): 1-31, 2020. Type: Article
Reliable performance estimation of complex software systems requires models that are adaptable to the system’s environment and workload. Grohmann et al. present SARDE for active and endless “self-adaptive resource d...
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Apr 6 2022 |
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An empirical study of students’ perceptions on the setup and grading of group programming assignments Aivaloglou E., van der Meulen A. ACM Transactions on Computing Education (TOCE) 3(21): 1-22, 2021. Type: Article
The ever-changing business world requires teams of agile developers, testers, technical leaders, product owners, and scrum masters to cooperatively develop and maintain new products. But how should academic institutions effectively be ...
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Mar 15 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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