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Berzal, Fernando
University of Granada
Granada, Spain
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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.

Date Reviewed  
- 10 of 115 reviews

   Neural network methods in natural language processing
Goldberg Y.,  Morgan & Claypool Publishers, San Rafael, CA, 2017. 310 pp. Type: Book (978-1-627052-98-6)

Deep learning has become the catchphrase to refer to artificial neural networks, one of the hottest research areas within machine learning. Now in their third generation, artificial neural networks have been used to crack problems that were unfeas...

Mar 26 2018  
   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...

Jan 23 2018  
   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...

Nov 15 2017  
  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...

Oct 25 2017  
   Deep learning
Goodfellow I., Bengio Y., Courville A.,  The MIT Press, Cambridge, MA, 2016. 800 pp. Type: Book (978-0-262035-61-3), Reviews: (3 of 4)

Deep learning is currently the most popular (and maybe hyped) discipline within artificial intelligence (AI). It is a key component of current speech recognition systems and it has allowed computers to reach human-level performance in many tasks t...

Jul 21 2017  
  Simulation modeling and analysis (5th ed.)
Law A.,  McGraw-Hill Education Group, New York, NY, 2015.Type: Book (9780073401324)

Simulation models imitate the behavior of complex systems, including manufacturing processes and real-world service facilities. They are designed to gain some understanding of how the actual system behaves under different circumstances, to evaluat...

Jun 21 2017  
   The power of networks: six principles that connect our lives
Brinton C., Chiang M.,  Princeton University Press, Princeton, NJ, 2016. 328 pp. Type: Book (978-0-691170-71-8), Reviews: (1 of 2)

Christopher Brinton and Mung Chiang have taught an online course on networks to more than 100,000 students around the world using the Coursera platform since 2013 [1]. This course was based on a previous course taught by Mung Chiang at Princeton a...

May 8 2017  
   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...

Mar 15 2017  
   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...

Feb 10 2017  
   Big data over networks
Cui S., Hero A., Luo Z., Moura J.,  Cambridge University Press, New York, NY, 2016. 457 pp. Type: Book (978-1-107099-00-5)

It is always hard to provide a balanced review of an edited book with varied contributions. In this case, it is no different. Four editors, all of them IEEE Fellows, have collected 15 chapters written by 50 different authors that provide different...

Nov 15 2016  
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