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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.

 
 
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- 10 of 32 reviews

   
   Adversarial machine learning
Joseph A., Nelson B., Rubinstein B., Tygar J., Cambridge University Press, New York, NY, 2019. 338 pp.  Type: Book (978-1-107043-46-6)

Machine learning is behind many of the systems we typically use, both online and offline, and behind even more of the systems we might use in the future. Given their economic importance, they attract attackers who might be interested i...

Sep 8 2020  
   Introduction to high performance scientific computing
Chopp D., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2019. 453 pp.  Type: Book (978-1-611975-63-5)

Parallel programming has become commonplace in many application domains, from deep learning and other machine learning approaches to computer simulations and scientific computing. Scientific computing, understood as the use of numerica...

Jan 29 2020  
   Introduction to data mining (2nd ed.)
Tan P., Steinbach M., Karpatne A., Kumar V., Pearson, New York, NY, 2018. 864 pp.  Type: Book (978-0-133128-90-1)

The first edition of this book, published in 2006 [1], was probably the best introductory textbook on data mining available. A dozen years later, the field has evolved to become mainstream under the commercial denomination of ̶...

Jan 2 2019  
   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,...

Jan 23 2018  
   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 ...

Jul 21 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 ne...

Feb 10 2017  
   Text data management and analysis: a practical introduction to information retrieval and text mining
Zhai C., Massung S., Association for Computing Machinery and Morgan & Claypool, New York, NY, 2016. 530 pp.  Type: Book, Reviews: (2 of 4)

An old rule of thumb suggests that 90 percent of all potentially relevant business information is in unstructured form. Hence, it is no surprise that many mathematically ill-defined problems associated with text analysis have attracted...

Oct 17 2016  
   Multicore and GPU programming: an integrated approach
Barlas G., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 698 pp.  Type: Book, Reviews: (3 of 3)

Parallel programming is a key skill for current software engineers, at least if they intend to exploit the capabilities of current hardware. Multicore microprocessors are now commonplace, even in mobile devices, whereas the advent of g...

Aug 16 2016  
   Fundamentals of parallel multicore architecture
Solihin Y., Chapman & Hall/CRC, Boca Raton, FL, 2016. 494 pp.  Type: Book (978-1-482211-18-4), Reviews: (1 of 2)

Since the birth of microprocessors in the 1970s (the Intel 4004 was designed in 1971), virtual memory and pipelining were the main architectural novelties of the 1980s, on-chip caches and superscalar processors were introduced in the 1...

Jul 12 2016  
   Building great software engineering teams: recruiting, hiring, and managing your team from startup to success
Tyler J., Apress, New York, NY, 2015. 168 pp.  Type: Book (978-1-484211-34-2)

It is commonly accepted in the software engineering field that “the best programmers are up to 28 times better than the worst programmers, according to ‘individual differences’ research. Given that their p...

Oct 23 2015  
 
 
 
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