Saverio Perugini, Ph.D.

Research and Publications

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).Engaged Student Learning: Re-conceptualizing and Evaluating a Core Computer Science Course for Active Learning and STEM Student Success. 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 (Full List)

• Perugini, S. (2023). Programming languages: Concepts and implementation. 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. [DOI/PDF].
• 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. [DOI | preprint PDF | postprint PDF].
• 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. [DOI | preprint PDF].
• Perugini, S. (2019). Emerging languages: An alternative approach to teaching programming languages. Journal of Functional Programming, 29, E13. Cambridge, UK: Cambridge University Press. [DOI | WWW | PDF | preprint PDF].
• 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. [DOI | PDF].
• 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. [DOI | PDF].
• 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 | PDF].
• Perugini, S. (2010). Personalization by website transformation: Theory and practice. Information Processing and Management, 46(3), 284-294 [DOI | PDF].
• Perugini, S. & Ramakrishnan, N. (2010).  Program transformations for information personalization. Computer Languages, Systems and Structures, 36(3), 223-249 [DOI | PDF].
• 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 [DOI | PDF].
• Perugini, S. (2008). Symbolic links in the Open Directory Project. Information Processing and Management, 44(2), 910-930 [DOI | PDF].
• 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. [DOI | PDF].
• Perugini, S. & Ramakrishnan, N. (2006).  Interacting with web hierarchies. IEEE IT Professional, 8(4), 19-28 [DOI | PDF].
• 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. [DOI | PDF].
• 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. [DOI | PDF].
• 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. [DOI | PDF].

Access to My Research Papers from Other Publication Indices

• Google Scholar
• eCommons
• bepress
• DBLP

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