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Fernando Berzal
University of Granada
Granada, Spain

Fernando Berzal is currently an assistant professor at the Department of Computer Science and Artificial Intelligence at the University of Granada (Spain), where he is a member of Intelligent Databases and Information Systems research group (IdBIS, for short).

His current research interests include knowledge discovery in databases and data mining, OLAP and data warehousing, intelligent information systems, and almost anything related to software development, from model-driven development to design patterns and software engineering best practices.

At the University of Granada, Fernando has tried to teach courses on computer programming, databases, and computer networks, with different degrees of success. He has also been an instructor in specialized courses about advanced programming techniques.

Apart from his research and teaching work, Fernando decided that he would like to put his ideas into practice and has co-founded a start-up company called iKor Consulting. iKor Consulting offers research and development, consulting, outsourcing, and training services for those interested in pushing the limits of their technology into unchartered territories (at least, that's what he naively likes to think).

Fernando received a Bachelor's Degree in Computer Engineering from the University of Granada in 1999, and was awarded the Spanish Computer Studies First National Prize in 2000. Fernando also holds a Ph.D. in Computer Science from the University of Granada, which he obtained in 2002 with a thesis about an alternative way to build decision trees.

Fernando is a member of the Association for Computing Machinery (ACM), IEEE, and IEEE Computer Society. He was a guest editor for the ACM Crossroads issue on Windows programming and editor of the Computer Programming Briefme weekly e-zine. He has also acted as a referee for several first-class publications, such as IEEE Software and Data and Knowledge Engineering, as well as for several research-oriented conferences. Finally, he has been a reviewer for Computing Reviews, Dr. Dobb's Journal ERCB, ACM SIGMOD Record, IEEE Software, and IEEE Distributed Systems Online. Since he is an avid reader, reviewing items for publications such as Computing Reviews is one of the most gratifying activities he has found, and he sees it as an excellent way to keep himself up to date on new topics in the field.


Artificial intelligence: foundations of computational agents (2nd ed.)
Poole D., Mackworth A.,  Cambridge University Press, New York, NY, 2017. 760 pp. Type: Book (978-1-107195-39-4)

Artificial intelligence (AI) can be defined as the study of the design of intelligent computational agents. Unfortunately, this is a recursive definition caused by the lack of a consensus on what intelligence really means. In the past, it could re...


Power-up: unlocking the hidden mathematics in video games
Lane M.,  Princeton University Press, Princeton, NJ, 2017. 264 pp. Type: Book (978-0-691161-51-8)

Beautiful mathematics can be found in unlikely places. Building upon this premise, Power-up tries to address a marketing problem: Why is mathematics far from engaging for most people? Mathematics is not as engaging as, for instance, playing...


 From neuron to cognition via computational neuroscience
Arbib M., Bonaiuto J.,  The MIT Press, 2016. 808 pp. Type: Book (978-0-262034-96-8)

An old aphorism says that, if our brains were simple enough to be understood, we wouldn’t be smart enough to understand them. Fortunately, many scientists are not so pessimistic, and they are unrelentingly trying to decipher it. As 3D bodies...


 Designing software architectures: a practical approach
Cervantes H., Kazman R.,  Addison-Wesley Professional, Boston, MA, 2016. 320 pp. Type: Book (978-0-134390-78-9)

It is often forgotten that common sense is the least common of the senses. Sensible design advice, guidelines, and heuristics are often no more than just that: plain old common sense. However, rational reminders of our own fallibility and cognitiv...


Recommender systems: the textbook
Aggarwal C.,  Springer International Publishing, New York, NY, 2016. 498 pp. Type: Book (978-3-319296-57-9)

Among other things, automated recommender systems determine which posts from our contacts in a social network we read, suggest which items we could buy from e-commerce sites, bias our perception of the world around us by ranking the news according...


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