Saverio Perugini, Ph.D.

was a (tenured, full) Professor of Computer Science at the University of Dayton, where he served as a faculty member in the Department of Computer Science for 18 years (2004-22). In Fall 2022, Dr. Perugini joined �鶹��ý�� to start and direct the , where he is a Professor of Mathematics and Computer Science in the Department of Mathematics. At the University of Dayton, Perugini taught a variety of undergraduate and graduate courses in computer science, including programming languages, operating systems and human-computer interaction, and served as the undergraduate program director (2013-17). Perugini has a Ph.D. in Computer Science from Virginia Tech (2004). In 2023, Dr. Perugini published a textbook on programming languages titled with Jones & Bartlett Learning. He is currently working on two book manuscripts with the tentative titles Linux Programming with Go and The Little Book of Contemporary Concurrency Models: Lua, Go, Elixir, and Julia. Perugini is a senior member of the Association for Computing Machinery (ACM) and the IEEE Computer Society.

Academic web page:

Teaching web page:

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Dr. Perugini Media Samples

What Is Computer Science?

Computer science is the study of information processes, but what are we actually studying when we study information processes?

Why Study Computing?

We teach computing because an understanding of computing illuminates deep insights into the nature of our minds and our environment.

Writing Computer Programs

Writing a computer program is like writing an essay. It generates new thoughts, activates new modes of thinking, and even augments the scope of problems we can conceive of solving.

Education

B.S., Computer Science, Villanova University
M.S., Computer Science, Virginia Tech
Ph.D., Computer Science, Virginia Tech

About

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Dr. Perugini is featured in , a series of short courses presented by the faculty of �鶹��ý��.

Dr. Perugini’s Book

Perugini, S. (2023). Burlington, MA: Jones and Bartlett.

Writing Computer Programs

Writing a computer program is like writing an essay. It generates new thoughts, activates new modes of thinking, and even augments the scope of problems we can conceive of solving.

Why Study Computing?

We teach computing because an understanding of computing illuminates deep insights into the nature of our minds and our environment.

What Is Computer Science?

Computer science is the study of information processes, but what are we actually studying when we study information processes?

Research Interests

Functional programming
Engineering interactive computing systems

Research Perspective

My research lies at the intersection of programming languages and software engineering, with a focus on exploring the application of language concepts (continuations, reflection, partial evaluation, concurrency, and others) to problems in novel application domains (human-computer dialogs and web interaction management). My research goal is to develop simplistic and elegant models that leverage language concepts and techniques to improve the conception, design, implementation and security of software systems.

Funded Research

Perugini, S., Wright, D., & Bryant, A. (2017).. Funding Agency: National Science Foundation (NSF). NSF Program: Improving Undergraduate STEM Education: Education and Human Resources (IUSE: EHR). NSF Proposal Award No (FAIN): 1712406. Amount: $299,864. Duration: four years (8/1/2017-7/31/2022).

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Selected Publications ()

Perugini, S. (2023). Burlington, MA: Jones & Bartlett Learning.
Perugini, S., Yao, Z., Phung, P.H., Rettig, A., Bryant, A.R., Baldwin, R.O., Wright, D.J., & Gallagher, J.C. (2022). An Active Learning Laboratory Manual for Teaching a Contemporary Undergraduate Operating System Course. Journal of Open Source Education, 5(58), 162. [.
Williams, B.M. & Perugini, S. (2020). Staging human-computer dialogs: An application of the Futamura Projections. Journal of Computing Sciences in Colleges, 36(4), 83-92. USA: Consortium for Computing Sciences in Colleges. [ | | ].
Perugini, S. & Williams, B.M. (2020). C + Go: An alternate approach toward Linux programming course. In Heckman, S., Monge, A., & Cutter, P. (Eds.), Proceedings of the 50^st ACM Technical Symposium on Computer Science Education(SIGCSE), 933–939. New York, NY: ACM Press. [ | ].
Perugini, S. (2019). Emerging languages: An alternative approach to teaching programming languages. Journal of Functional Programming, 29, E13. Cambridge, UK: Cambridge University Press. [ | | | ].
Buck, J.W., Perugini, S., & Nguyen, T.V. (2018). Natural language, mixed-initiative personal assistant agents. In Kim, D.S., Lee, K., & Ushiama, T. (Eds.), Proceedings of the 12^th International ACM Conference on Ubiquitous Information Management and Communication (IMCOM), 82:1-82:8. New York, NY: ACM Press. [| ].
Perugini, S. & Buck, J.W. (2016). A language-based model for specifying and staging mixed-initiative dialogs. In Campos, J.C. & Schmidt, A. (Eds.), Proceedings of the 8^th International ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS), 204-216. New York, NY: ACM Press. [ | ].
Perugini, S. (2016). Mining mixed-initiative dialogs. In Su, S.-F. (Ed.), Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2287-2294. Los Alamitos, CA: IEEE Computer Society Press. [DOI | ].
Perugini, S. (2010). Personalization by website transformation: Theory and practice. Information Processing and Management, 46(3), 284-294 [ | ].
Perugini, S. & Ramakrishnan, N. (2010). Program transformations for information personalization. Computer Languages, Systems and Structures, 36(3), 223-249 [ | ].
Perugini, S. (2010). Supporting multiple access paths to objects in information hierarchies: Faceted classification, faceted search, and symbolic links. Information Processing and Management, 46(1), 22-43 [ | ].
Perugini, S. (2008). Symbolic links in the Open Directory Project. Information Processing and Management, 44(2), 910-930 [ | ].
Perugini, S., Anderson, T.J., & Moroney, W.F. (2007). A study of out-of-turn interaction in menu-based, IVR, voicemail systems. In Gilmore, D. (Ed.), Proceedings of the 25^th International ACM Conference on Human Factors in Computing Systems, 961-970. New York, NY: ACM Press. [ | ].
Perugini, S. & Ramakrishnan, N. (2006). Interacting with web hierarchies. IEEE IT Professional, 8(4), 19-28 [ | ].
Perugini, S. & Ramakrishnan, N. (2005). A generative programming approach to interactive information retrieval: Insights and experiences. In Glück, R. & Lowry, M. (Eds.), Proceedings of the 4^th International ACM Conference on Generative Programming and Component Engineering, LNCS 3676, 205-220. Berlin: Springer. [ | ].
Narayan, M., Williams, C., Perugini, S., & Ramakrishnan, N. (2004). Staging transformations for multimodal web interaction management. In Najork, M. & Wills, C. (Eds.), Proceedings of the 13^th International ACM World Wide Web Conference, 212-223. New York, NY: ACM Press. [ | ].
Perugini, S., Gonçalves, M.A., & Fox, E.A. (2004). Recommender systems research: A connection-centric survey. Journal of Intelligent Information Systems, 23(2), 107-143. [| ].

Access to My Research Papers from Other Publication Indices

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Teaching Interests

Programming languages
Artificial intelligence and machine learning
Automata theory

Teaching Perspective

I love teaching! My philosophy toward teaching computing is simple: learning by doing. Building software solutions to practical computing problems is an integral component of the courses I instruct. My teaching objective is to help students formulate problems, develop strong problem-solving, analytical-reasoning and computational-thinking skills, and implement elegant and creative software systems. I am inspired by professors who not only impart knowledge through their expertise, but also convey their passion and curiosity for a subject. I engage students in a dialog to cultivate a vibrant and dynamic experience in class. In the words of Gretchen E. Smalley, “Learning should be an adventure, a quest, a romance.”

Courses Frequently Taught

CSCI 151.
CSCI 152.

CSCI 251.
CSCI 350.
CPS 352/543.

CPS 356.
CPS 444/544.
CPS 452.
CPS 482/582.

Lecture Notes

No items found.

Research Interests

Functional programming
Engineering interactive computing systems

Research Perspective

Funded Research

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Selected Publications ()

Perugini, S. (2023). Burlington, MA: Jones & Bartlett Learning.
Perugini, S., Yao, Z., Phung, P.H., Rettig, A., Bryant, A.R., Baldwin, R.O., Wright, D.J., & Gallagher, J.C. (2022). An Active Learning Laboratory Manual for Teaching a Contemporary Undergraduate Operating System Course. Journal of Open Source Education, 5(58), 162. [.
Williams, B.M. & Perugini, S. (2020). Staging human-computer dialogs: An application of the Futamura Projections. Journal of Computing Sciences in Colleges, 36(4), 83-92. USA: Consortium for Computing Sciences in Colleges. [ | | ].
Perugini, S. & Williams, B.M. (2020). C + Go: An alternate approach toward Linux programming course. In Heckman, S., Monge, A., & Cutter, P. (Eds.), Proceedings of the 50^st ACM Technical Symposium on Computer Science Education(SIGCSE), 933–939. New York, NY: ACM Press. [ | ].
Perugini, S. (2019). Emerging languages: An alternative approach to teaching programming languages. Journal of Functional Programming, 29, E13. Cambridge, UK: Cambridge University Press. [ | | | ].
Buck, J.W., Perugini, S., & Nguyen, T.V. (2018). Natural language, mixed-initiative personal assistant agents. In Kim, D.S., Lee, K., & Ushiama, T. (Eds.), Proceedings of the 12^th International ACM Conference on Ubiquitous Information Management and Communication (IMCOM), 82:1-82:8. New York, NY: ACM Press. [| ].
Perugini, S. & Buck, J.W. (2016). A language-based model for specifying and staging mixed-initiative dialogs. In Campos, J.C. & Schmidt, A. (Eds.), Proceedings of the 8^th International ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS), 204-216. New York, NY: ACM Press. [ | ].
Perugini, S. (2016). Mining mixed-initiative dialogs. In Su, S.-F. (Ed.), Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2287-2294. Los Alamitos, CA: IEEE Computer Society Press. [DOI | ].
Perugini, S. (2010). Personalization by website transformation: Theory and practice. Information Processing and Management, 46(3), 284-294 [ | ].
Perugini, S. & Ramakrishnan, N. (2010). Program transformations for information personalization. Computer Languages, Systems and Structures, 36(3), 223-249 [ | ].
Perugini, S. (2010). Supporting multiple access paths to objects in information hierarchies: Faceted classification, faceted search, and symbolic links. Information Processing and Management, 46(1), 22-43 [ | ].
Perugini, S. (2008). Symbolic links in the Open Directory Project. Information Processing and Management, 44(2), 910-930 [ | ].
Perugini, S., Anderson, T.J., & Moroney, W.F. (2007). A study of out-of-turn interaction in menu-based, IVR, voicemail systems. In Gilmore, D. (Ed.), Proceedings of the 25^th International ACM Conference on Human Factors in Computing Systems, 961-970. New York, NY: ACM Press. [ | ].
Perugini, S. & Ramakrishnan, N. (2006). Interacting with web hierarchies. IEEE IT Professional, 8(4), 19-28 [ | ].
Perugini, S. & Ramakrishnan, N. (2005). A generative programming approach to interactive information retrieval: Insights and experiences. In Glück, R. & Lowry, M. (Eds.), Proceedings of the 4^th International ACM Conference on Generative Programming and Component Engineering, LNCS 3676, 205-220. Berlin: Springer. [ | ].
Narayan, M., Williams, C., Perugini, S., & Ramakrishnan, N. (2004). Staging transformations for multimodal web interaction management. In Najork, M. & Wills, C. (Eds.), Proceedings of the 13^th International ACM World Wide Web Conference, 212-223. New York, NY: ACM Press. [ | ].
Perugini, S., Gonçalves, M.A., & Fox, E.A. (2004). Recommender systems research: A connection-centric survey. Journal of Intelligent Information Systems, 23(2), 107-143. [| ].

Access to My Research Papers from Other Publication Indices

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