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Squassabia, A.
JHA
Monett, Missouri
 
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Alberto Squassabia is a software professional specializing in back-end web engineering. He also teaches computer science part-time for Regis University. Alberto is an active coder (primarily in Scala and Java), architect, and team coach with a broad perspective on software development, which he acquired in academia and in the trenches of real life. He earned his first engineering degree from the University of Bologna in Italy and, in a previous life, he practiced as a civil engineer. After admitting he enjoyed writing number-crunching computer models more than designing dams, he switched careers and then earned an MS degree in Computer Science from Colorado State University. His current technical interests include functional programming, scalability at the enterprise and internet-scale scope, testing, and the challenges of big data and distributed computing.

Teaching and keeping up with developments in his areas of interest help him stay close to fundamental principles, as well as consider computer science from the perspective of what can be done, and what cannot (yet) be done. Working in the industry provides great opportunities for intriguing conversations and challenging assignments to make the possible happen. As part of any team, Alberto enjoys the ensuing camaraderie, brain-picking (as victim or predator indifferently), and the shared sense of purpose. Alberto is a member of the ACM, and is a charter member of the Upsilon Pi Epsilon honor society, Colorado State University chapter.

Profile updated 11/3/16

 
 
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   Data cleaning
Ilyas I., Chu X., ACM Books, New York, NY, 2019. 271 pp.  Type: Book (978-1-450371-54-4)

Data cleaning provides an extensive literature review. It showcases the body of work that academia has produced over the last decades on the subject of data cleaning automation. Identifying and correcting dirty data by means of ...

Aug 4 2021  
   Data architecture: a primer for the data scientist (2nd ed.)
Inmon W., Linstedt D., Levins M., Academic Press, Inc., San Diego, CA, 2019. 431 pp.  Type: Book (978-0-128169-16-2)

Showing a perceptible pattern as a line-edited transcript consolidated from one or more slide-based seminars, this book provides many illustrations that would otherwise have been the focus of a presenter’s lecture and interac...

Jul 31 2020  
   Introduction to learning classifier systems
Urbanowicz R., Browne W., Springer Publishing Company, Incorporated, New York, NY, 2017. 123 pp.  Type: Book (978-3-662550-06-9)

In the preface, Introduction to learning classifier systems presents itself as an introductory textbook for undergraduate or graduate students, as well as for practitioners. The scope of the work is encompassing, and its brevity...

Jul 11 2018  
   Becoming agile: a grounded theory of agile transitions in practice
Hoda R., Noble J.  ICSE 2017 (Proceedings of the 39th International Conference on Software Engineering, Buenos Aires, Argentina, May 20-28, 2017) 141-151, 2017.  Type: Proceedings

The delusion of agility is as common among practicing software engineering teams as is the common cold during the fall season. A software development life cycle (SDLC) as sophisticated as agile can thrive if a team can express a suffic...

Sep 7 2017  
   C++ standard library quick reference
Van Weert P., Gregoire M., Apress, Berkeley, CA, 2016. 206 pp.  Type: Book (978-1-484218-75-4)

This small book (200 pages) represents an annotated guide to the modern (say, after 2011) C++ library. It claims to offer a “condensed, well-structured summary” of library features providing “tutorial aspe...

Nov 4 2016  
   A messy state of the union: taming the composite state machines of TLS
Beurdouche B., Bhargavan K., Delignat-Lavaud A., Fournet C., Kohlweiss M., Pironti A., Strub P., Zinzindohoue J.  SP 2015 (Proceedings of the 2015 IEEE Symposium on Security and Privacy,May 17-21, 2015) 535-552, 2015.  Type: Proceedings

By bringing consolidated structure to the panoply of requirements that make up the transport layer security (TLS) standard, this paper allows practitioners to formulate a framework for testing how compliant several of their open-source...

Oct 5 2016  
   Hadoop 2 quick-start guide: learn the essentials of big data computing in the Apache Hadoop 2 ecosystem
Eadline D., Addison-Wesley Professional, Old Tappan, NJ, 2016. 304 pp.  Type: Book (978-0-134049-94-6)

There is community-based clamor for adding an “easy” button to Hadoop. Hadoop 2 quick-start guide (from now on H2QSG) tries to meet that need, making the installation, care, and feeding of Hadoop as si...

Mar 24 2016  
   From raw sensor data to detailed spatial knowledge
Zhang P., Lee J., Renz J.  IJCAI 2015 (Proceedings of the 24th International Conference on Artificial Intelligence, Buenos Aires, Argentina, Jul 25-31, 2015) 910-916, 2015.  Type: Proceedings

This is an early work toward extracting information on the internal structure of a complex geographical region as a well-defined whole, as opposed, for instance, to a bag of logically disconnected image pixels. The approach uses points...

Dec 16 2015  
   Improving user topic interest profiles by behavior factorization
Zhao Z., Cheng Z., Hong L., Chi E.  WWW 2015 (Proceedings of the 24th International Conference on World Wide Web, Florence, Italy, May 18-22, 2015) 1406-1416, 2015.  Type: Proceedings

Do the topic preferences of social media users differ between producing and consuming content? And if so, do recommenders currently account for such differences? This paper acknowledges that the difference is real and measurable, and e...

Nov 12 2015  
   Improving top-N recommendation for cold-start users via cross-domain information
Mirbakhsh N., Ling C. ACM Transactions on Knowledge Discovery from Data 9(4): 1-19, 2015.  Type: Article

Collaborative recommender systems often provide disappointing suggestions to new users who volunteered very few or no ratings of their own for processing: this is known as the cold-start problem. Mitigating such shortcomings with cross...

Sep 29 2015  
 
 
 
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