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Olagunju, Amos
The University of Kansas
Overland Park, Kansas
 
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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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  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...

Jan 6 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  
  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 ...

Oct 26 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  
  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...

Apr 6 2022  
  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 ...

Mar 15 2022  
   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...

Dec 30 2021  
  Trustworthy AI
Wing J. Communications of the ACM 10(64): 64-71, 2021.  Type: Article

Artificial intelligence (AI) techniques are useful in creating effective computing tools for diverse applications in areas such as transportation, agriculture, medicine, and justice systems. Yet the credibility of AI is still an interesting subjec...

Dec 14 2021  
   Data-driven anomaly detection with timing features for embedded systems
Lu S., Lysecky R. ACM Transactions on Design Automation of Electronic Systems 24(3): 1-27, 2019.  Type: Article

The Internet of Things (IoT) continues to usher in the joys of connecting several house appliances and electronic devices via wired and wireless networks. But how should the rooted systems that support IoT provide security and privacy ...

Oct 20 2021  
 
 
 
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