AES New York 2018 Presenter or Author
Ming-Lun Lee
Primary Affiliation: University of Rochester - Rochester, NY, USA
AES Member Type: Member
Ming-Lun Lee is an Assistant Professor of Electrical and Computer Engineering at the University of Rochester. He received his PhD in historical musicology and music theory from the University at Buffalo, as well as master’s degrees in electrical engineering and musicology from National Taiwan University. With teaching and research experience in both electrical engineering and musicology, Lee is well fitted to the interdisciplinary nature of the Audio and Music Engineering program. He is devoted to audio programming using a variety of programming languages, including C/C++, Objective-C, ChucK, Faust, Max, Pure Data, and Swift and is particularly interested in programming for interactive multimedia performance. His research interests include spatial audio recording and reproduction, AR/VR, audio preservation, audio software design, and computational analysis of musical performances and recordings. He has received funds for an AR/VR research project on making 360/3D concert videos with spatial audio and has recorded over twenty-five concerts with several binaural and Ambisonic microphones at the Eastman School of Music.
More Info: https://www.hajim.rochester.edu/ame/people/faculty/lun-lee_ming/index.html
Session List
Oct 18:
IS03: Workflows and Techniques for Ambisonic Recording and Postproduction (Chair)