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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.

Date Reviewed  
- 10 of 157 reviews

   A review of fuzzy cognitive maps in medicine
Amirkhani A., Papageorgiou E., Mohseni A., Mosavi M.  Computer Methods and Programs in Biomedicine 142(C): 129-145, 2017. Type: Article

Accurate decision support systems are central to the medical prevention, diagnosis, and treatment of diseases such as autism, cancer, celiac disease, and lobar pneumonia. There are medical decision support systems that apply the properties of fuzz...

Jul 26 2017  
   The impact of a flipped classroom design on learning performance in higher education
Thai N., De Wever B., Valcke M.  Computers & Education 107(C): 113-126, 2017. Type: Article

The impact of technology on learning remains a controversial subject. Should students be required to watch lectures and go prepared for lively engagement in classroom discussions and problem solving? Are the traditional methods of teaching still e...

May 31 2017  
   Resource and performance prediction at high utilization for n-tier cloud-based service systems
Zhang W., Shi Y., Zheng Y., Liu L., Cui L.  ACSW 2017 (Proceedings of the Australasian Computer Science Week Multiconference, Geelong, Australia,  Jan 30-Feb 3, 2017) Article-No. 43, 2017. Type: Proceedings

Cloud provision providers offer pertinent services such as software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (IaaS) that require users to sign service-level agreements (SLAs). Unless there are adequate too...

Apr 27 2017  
   A new look at the semantic web
Bernstein A., Hendler J., Noy N.  Communications of the ACM 59(9): 35-37, 2016. Type: Article

The numerous demands for prevalent web advertisements and documents call for new smart information dissemination systems. Emerging and future intelligent web systems ought to reflect the current, new, and evolving products at competing websites. B...

Mar 16 2017  
   Structural analysis of user choices for mobile app recommendation
Liu B., Wu Y., Gong N., Wu J., Xiong H., Ester M.  ACM Transactions on Knowledge Discovery from Data 11(2): 1-23, 2016. Type: Article

Mobile apps are rapidly evolving due to ongoing improvements in smartphone technology. However, the use of mobile devices introduces some obstacles for rookie users. How should novice users locate suitable apps from a hierarchy of apps to accompli...

Mar 14 2017  
   Software quality
Denning P.  Communications of the ACM 59(9): 23-25, 2016. Type: Article

Unintentional security flaws in the design and implementation of large software linger as an interesting subject of debates. Information technology (IT) professionals ought to be relentlessly participating in the discussions of security issues and...

Dec 8 2016  
   Co-clustering structural temporal data with applications to semiconductor manufacturing
Zhu Y., He J.  ACM Transactions on Knowledge Discovery from Data 10(4): 1-18, 2016. Type: Article

New improvements in storage, measurement, and control methods in semiconductor engineering are rapidly producing more data. Today, there are valuable tools for monitoring and gathering time-based data for manufacturing devices such as integrated c...

Nov 15 2016  
   AutoMan: a platform for integrating human-based and digital computation
Barowy D., Curtsinger C., Berger E., McGregor A.  Communications of the ACM 59(6): 102-109, 2016. Type: Article

Programming digital computers to perform complicated concurrent tasks usually executed by several human beings is important in business intelligence decisions, but not easy. How should multifaceted or interconnected tasks be automated on computers...

Sep 12 2016  
   Kernelized information-theoretic metric learning for cancer diagnosis using high-dimensional molecular profiling data
Xiong F., Kam M., Hrebien L., Wang B., Qi Y.  ACM Transactions on Knowledge Discovery from Data 10(4): Article No. 38, 2016. Type: Article

The molecular gene expressions of tumor and blood samples are useful for detecting cancers. But the design of algorithms for diagnosing cancer using high-dimensional heterogeneous signatures of gene expression data is difficult. How should the hig...

Sep 9 2016  
   The risks of self-auditing systems
Mercuri R., Neumann P.  Communications of the ACM 59(6): 22-25, 2016. Type: Article

Impartial risk assessments of systems require independent external audits. Identifying risks posed by automatic self-auditing systems is not easy. How should internal self-auditing computing devices produce compliance data for validation by extern...

Aug 22 2016  
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