Recent News

• Podcast of interview Dr. Perugini did on AI on September 15, 2023 on the The Drew Mariani Show, which airs on Relevant Radio.
• Webinar About the New Computer Science Program at Ave Maria University
• Podcast of interview Dr. Perugini did on AI on June 22, 2023 on the Treasure of Faith radio show, which airs on Divine Mercy Radio.
• View the New Brochure for the Computer Science Program at Ave Maria University.

Research

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).

Selected Publications (Full List)

• 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

Teaching

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 (active learning). 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. Introduction to Computer Programming
• CSCI 152. Discrete Structures and Functional Programming
• CPS 352/543. Concepts & Implementation of Programming Languages
• CPS 356. Operating Systems
• CPS 444/544. UNIX/Linux Programming
• CPS 452. Emerging Programming Languages
• CPS 482/582. Automata Theory
• All prior courses

Short Bio