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Mencar, Corrado
University of Bari
Bari, Italy
 
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Corrado Mencar is currently an assistant professor in the Department of Informatics at the University of Bari (Italy). He received his MS degree in Informatics in 2000 and a PhD in Informatics in 2005, both at the University of Bari. After receiving his master’s degree, he worked as a software analyst and designer for some Italian software firms. In 2005, he joined the University of Bari as an assistant professor, researching computational intelligence and related fields. His current research interests include fuzzy logic and fuzzy systems, granular computing, computational web intelligence, intelligent data analysis and genetic algorithms. The most important achievements in his research are related to the interpretability of fuzzy systems, that is, techniques for endowing fuzzy systems with empirically acquired knowledge that can be communicated to users in a way that is easy to read and understand.

He has been involved with several research projects and has written more than 60 peer-reviewed international papers. He also acts as a reviewer for several international journals, is member of the program committees of several conferences, and is an associate editor for the International Journal on Artificial Intelligence. Mencar has taught several undergraduate and graduate courses on topics related to his research, as well as courses on programming fundamentals, computer architectures and operating systems. He supervises of a number of PhD students and is the scientific supervisor of the department library.

In addition to his research interests, he is passionate about complex dynamical systems, including biological, social and natural systems. He is an avid reader of books in the field, and is a fan of Richard Dawkins, Douglas Hofstadter and Fritjof Capra.

 
 
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Date Reviewed  
 
1
- 8 of 8 reviews

   
   The book of why: the new science of cause and effect
Pearl J., Mackenzie D., Basic Books, Inc., New York, NY, 2018. 432 pp.  Type: Book (978-0-465097-60-9), Reviews: (2 of 2)

In fields such as data science, explainable artificial intelligence (AI), and big data analytics, “why?” is the ultimate question that needs to be answered to make sense of real data. “Why?” has ...

Aug 2 2019  
   Probability and computing: randomization and probabilistic techniques in algorithms and data analysis (2nd ed.)
Mitzenmacher M., Upfal E., Cambridge University Press, New York, NY, 2017. 484 pp.  Type: Book (978-1-107154-88-9), Reviews: (2 of 2)

Probability in computer science plays the same role as in physics: while there is a large corpus of theories and methodologies based on a purely deterministic underpinning, the introduction of probability opens the door to a vast field...

Jul 10 2018  
   Guide to discrete mathematics: an accessible introduction to the history, theory, logic and applications
O’Regan G., Springer International Publishing, New York, NY, 2016. 368 pp.  Type: Book (978-3-319445-60-1)

A book on discrete mathematics written by a software engineer certainly raises curiosity and interest because looking at math with the eye of a computer specialist allows the reader to see many of the infinite bridges connecting comput...

Jul 13 2017  
   Deep learning neural networks: design and case studies
Graupe D., World Scientific Publishing Co, Inc., River Edge, NJ, 2016. 200 pp.  Type: Book

Deep learning is a field of study that is gaining much attention both in academia and industry; hence, textbooks and monographs on this subject are increasingly in demand. At first glance, this book by D. Graupe seems well suited for t...

Apr 26 2017  
   Mathematical modeling: models, analysis and applications
Banerjee S., Chapman & Hall/CRC, Boca Raton, FL, 2014. 276 pp.  Type: Book (978-1-439854-51-8), Reviews: (2 of 2)

A fundamental concept in computer science (CS) is abstraction, which often translates into building models of reality that can be explored and simulated on a computer. Furthermore, the tight interweaving of CS and data science (the stu...

Oct 7 2014  
   On fuzziness: a homage to Lotfi A. Zadeh - Volume 1
Seising R., Trillas E., Moraga C., Termini S., Springer Publishing Company, Incorporated, New York, NY, 2013. 478 pp.  Type: Book (978-3-642356-40-7)

In 2015, science will celebrate the half-centenary of the first paper on fuzzy sets [1], which prompted a paradigm shift in the community of scientists involved in the study of machine intelligence. In preparation for the occasion, sev...

Jun 28 2013  
   Computational logic and human thinking: how to be artificially intelligent
Kowalski R., Cambridge University Press, New York, NY, 2011. 332 pp.  Type: Book (978-0-521123-36-5)

Computational thinking is a relatively new approach to education, centered on problem solving as well as system design and analysis based on the paradigms of computer science [1]. By stressing computational thinking at all levels of ed...

Jul 10 2012  
   Handbook of scientific proposal writing
Oruç A., Chapman & Hall/CRC, Boca Raton, FL, 2011. 243 pp.  Type: Book (978-1-439869-18-5)

Unfortunately, many researchers are not well prepared on how to write a convincing proposal; often, this leads to the frustrating consequence of having their proposals rejected, even if the research ideas were worth exploring. This boo...

May 15 2012  
 
 
 
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