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Grigore Albeanu
Spiru Haret University
Bucharest, Romania

Grigore Albeanu is a professor of computer science at Spiru Haret University in Bucharest, Romania. He received his PhD in mathematics, in 1996, from the University of Bucharest.

Grigore has also worked as a software analyst and developer for the Forest Research and Management Institute (1984-1986, https://icas.ro/) and the Institute of Scientific Research and Technological Engineering for Computing and Informatics (1986-1991, https://www.itc.ro/). He was an associate professor at Bucharest University until 2002, and served as the head of the UNESCO Chair in Information Technologies at the University of Oradea (2004-2007).

As principal investigator in a North Atlantic Treaty Organization (NATO) project, Grigore collaborated with colleagues from all over the world on many scientific projects, including PhD theses and national and international competitions, as well as consultancy for small and medium enterprises.

His current research interests are different aspects of computing systems, modeling and simulation, software reliability, virtual reality techniques, fog computing, smart technologies, and scientific computing, including computational intelligence, numerical methods, and machine learning.

Grigore has authored (or coauthored) over 120 papers and ten textbooks in applied mathematics and computer science. He is an active referee or editor for many journals and conferences, and has been a reviewer for Computing Reviews since 1988.

	Reviews by Grigore Albeanu

	Access controls and healthcare records: who owns the data? CACM Staff . Communications of the ACM 62(7): 41-46, 2019. Type: Article In this article, three distinguished scientists (David Evans, Richard McDonald, and Terry Coatta) debate on the most recent and challenging approaches concerning healthcare records: ownership, privacy, security, and modern medical information syst...

	A tutorial on canonical correlation methods Uurtio V., Monteiro J., Kandola J., Shawe-Taylor J., Fernandez-Reyes D., Rousu J. ACM Computing Surveys 50(6): 1-33, 2018. Type: Article Canonical correlation analysis (CCA) is used to discover relations between two or more multivariate sets of variables, called views. Data to be processed are collected for a population of individuals, and for one individual its state is described ...

	Scalable density-based clustering with quality guarantees using random projections Schneider J., Vlachos M. Data Mining and Knowledge Discovery 31(4): 972-1005, 2017. Type: Article Efficient clustering techniques are required for knowledge discovery in large databases. The efforts of scientists have contributed to the development of many clustering algorithms....

	Dempster’s rule of combination Shafer G. International Journal of Approximate Reasoning 7926-40, 2016. Type: Article The rule of combination of belief functions on infinite sets of possibilities is developed in this paper. The author continues his developments on Dempster’s theory on lower probabilities in order to generalize already-obtained results in th...

	A deterministic fully polynomial time approximation scheme for counting integer knapsack solutions made easy Halman N. Theoretical Computer Science 645(C): 41-47, 2016. Type: Article The knapsack problem (KP) appears in many forms in science, economics, and engineering. The classical formulation uses a set of items, each with a weight and a value, and asks to determine the number of each item to include in a knapsack so that t...

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