JEFF GREGORIO

About

I am currently pursuing a PhD in Drexel's Music and Entertainment Technology (MET) lab. My research interests include novel musical interfaces, real-time audio processing and synthesis, and machine listening. My experience as an active musician and multi-instrumentalist initially catalyzed my interest in engineering and has lent itself to my pursuit of music technology research.

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JEFF GREGORIO

Musician, engineer, and educator. I recently completed a PhD in Drexel's Music and Entertainment Technology (MET) lab. My research interests include novel musical interfaces, audio processing and synthesis, and machine learning applied to musical interface design.

Education

  • PhD Electrical and Computer Engineering - Drexel University 2021

  • MS Electrical and Computer Engineering - Drexel University - 2013

  • BS Electrical Engineering - Temple University - 2011

Work Experience

2013-2020 Teaching Assistant / Instructor, Drexel University

  • Instructed or led lab and recitation sections for courses covering Transform Methods, Embedded/Analog Electronics, programming in MATLAB, and introduction to entertainment engineering (digital media and interface design).

2019-2020 Systems Engineer, Where There’s Smoke, Tribeca Film Festival

  • Designed a custom IoT-based interaction and multimedia system for an interactive installation piece by writer/director Lance Weiler of Columbia University’s Digital Storytelling Lab (DSL)

  • Installed and modified on-site at the 2019 Tribeca Film Festival

2018 Systems Engineer, Frankenstein AI: A Monster Made by Many, Sundance Film Festival

  • Designed a custom, IoT-based audio system for an interactive installation piece by Lance Weiler

  • Integrated the system with the AI and visual design teams, and installed and modified on-site at the 2018 Sundance Film Festival

Workshops

2021 Arduino and the Modular Synth @ Hive76 [github]

  • Developed an accessible library for audio synthesis on AVR-based microcontrollers

  • Presented embedded systems and digital signal processing concepts necessary to use the library

2020 IoT Integration @ Columbia University’s Digital Storytelling Lab (DSL) [github]

  • Developed a reconfigurable NodeMCU-based system for wireless interaction sensing and multimedia content delivery in Max/MSP

  • Demonstrated the system and its constraints, and led a design exercise with students of DSL lab director Lance Weiler

2019 IoT Music @ University of the Arts [github]

  • Developed an accessible software library for IoT-controlled audio and control rate synthesis using the NodeMCU for integration with modular synthesizers

  • Introduced basic signal processing concepts and demonstrated the system for students of students of Assistant Professor Michael Johnson

Fellowships and Grants

John S. And James L. Knight Foundation’s arts challenge program (2016-17) - As a PhD candidate researcher at Drexel, I worked with an artist in residence to co-design a custom instrument for a tech-enhanced music performance held at Drexel’s Black Box Theater on June 17, 2017. More info at drexel.edu/excite/discovery/met-lab/residency/Drumhenge/.

NSF STEM GK-12 Fellowship (2012-2013) - I worked with several Philadelphia area high schools developing application-driven activities designed to reinforce the science and math curriculum and motivate students to pursue STEM fields by illustrating the connection between technology and the arts.

Publications

  • Gregorio, Jeff and Kim, Youngmoo E. (2021, June), Evaluation of Timbre-Based Control of a Parametric Synthesizer. Proceedings of the International Conference on New Interfaces for Musical Expression, Online and NYU Shanghai. [PubPub]

  • Gregorio, Jeff and Kim, Youngmoo E. (2019, June), Augmenting Parametric Synthesis with Learned Timbral Controllers. Proceedings of the International Conference on New Interfaces for Musical Expression, UFRGS, pp. 431–436. http://doi.org/10.5281/zenodo.3673025 [PDF]

  • Gregorio, Jeff and English, Peter and Kim, Youngmoo E. (2017, August) Sound and Interaction Design of an Augmented Drum System. In Proceedings of the 12th International Audio Mostly Conference 10.1145/3123514.3123521. [ACM]

  • Gregorio, Jeff and Kim, Youngmoo E. (2016, August), Phrase-level audio segmentation of jazz improvisations informed by symbolic data. In Proceedings of the International Society on Music Information Retrieval Conference, New York City, NY, USA. [PDF]

  • Gregorio, J., & Prockup, M., & Morton, B. G., & Kim, Y. E. (2016, May), Broader Perspectives in the Understanding of Musical Expression. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (Music and HCI Workshop), San Jose, CA, USA. [PDF]

  • Gregorio, J., & Rosen, D. S., & Morton, B. G., & Batula, A. M., & Caro, M., & Scott, J., & Kim, Y., & Lindstrom, K. M. (2015, June), Introduction to STEAM Through Music Technology (Evaluation). Paper presented at 2015 ASEE Annual Conference and Exposition, Seattle, WA, USA. [PDF]

  • Gregorio, J., & Rosen, D. S., & Caro, M., & Kim, Y. (2015, June), Descriptors for Perception of Quality in Jazz Piano Improvisation. In Proceedings of the International Conference on New Interfaces for Musical Expression, Baton Rouge, LA, USA. [PDF]

  • Gregorio, J., & Morton, B. G., & Kim, Y., & Ward, J. S. (2013, June), Music Technology as a Vehicle to STEM/STEAM for High School Students. Paper presented at 2013 ASEE Annual Conference, Atlanta, Georgia. [PDF]