MTR Research Team |
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Dr. Juan Bello
Faculty, Music Technology
Dr. Bello’s current research is mainly focused on the semantic analysis of musical signals and its applications to music information retrieval, digital audio effects, and live electronics. Dr Juan Bello did his doctoral work at the Electronic Engineering department at Queen Mary University of London. |
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Taemin Cho
Master's Student, Music Technology
Taemin Cho is a guitarist, composer, and music technologist. He received B.S. in computer science from InHa university in Korea and also received B.M. in Performance and Music Synthesis from Berklee College of Music. His main interests are realtime music controller, realtime DSP, and MIR.
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Dr. Mary Farbood
Faculty, Music Technology
Dr. Farbood's research encompasses topics in music theory and cognition, computational modeling of music, and computer-assisted/algorithmic composition systems. She completed her Ph.D. at the MIT Media Lab in 2006. Prior to that, she received a B.A. in music from Harvard and spent two years as Ph.D. student in composition and theory at Brandeis. Dr. Farbood also performs professionally as a harpsichordist and enjoys playing both early music and new music. |
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Aron Glennon
PhD Student, Music Technology
Aron Glennon is a Steinhardt Fellow in the Music Technology PhD program at NYU. His research interests include the real-time analysis of musical signals and its application to interactive music systems. He received a BS in physics from Brandies University and a MM in music technology at NYU. He also composes and performs in the greater New York City area with his band chopshop.
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Dr. Panayotis Mavromatis
Director, Music Theory
Dr. Mavromatis' current research focuses on computer modeling of musical skill and its acquisition. His work on an Intelligent Tutoring System for species counterpoint explores the applications of Artificial Intelligence in education. |
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Peter McCulloch
Doctoral Student, Music Composition
Peter McCulloch is a PhD candidate in Music Composition at New York University, where he studies with Robert Rowe, Jason Eckhardt, Nick Didkovsky, and Dinu Ghezzo. His interests include interactive algorithmic composition, alternate controllers, interactive diffusion, and spectral composition. |
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Dr. Kenneth Peacock
Director, Music Technology
Dr. Kenneth Peacock, a musicologist, technologist, and expert in such diverse fields as Scriabin and synaesthesia, has led the Music Technology Program to its current position as a focal point for musical activity in the department. Dr. Peacock received his Ph.D. in Musicology from the University of Michigan School of Music, his M.A. in Musicology from the University of California, Riverside, his A.B. in French Horn at the University of California, Los Angeles, and his B.S. in Engineering from the University of Connecticut |
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Dr. Robert Rowe
Associate Director, Music Technology
Dr. Robert Rowe is a graduate of the MIT Media Laboratory and author of the books Machine Musicianship and Interactive Music Systems. He has introduced the biannual Interactive Arts Performance Series, which unites computers, video, music, and other arts in live performance. |
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Dr. Agnieszka Roginska
Faculty, Music Technology
Dr. Roginska’s current research interests include spatial sound and acoustic environment simulation, HRTF measurement techniques, auditory displays and its applications in augmented acoustic sensing. Dr. Agnieszka Roginska received a Ph.D. in Music Technology from Northwestern University. |
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Andy Sarroff
Master's Student, Music Technology
Andy Sarroff's professional background includes audio tracking, mixing, and mastering for film and music. At Steinhardt, he is an active participant in the Music Technology research group and his research interests include music information retrieval, digital signal processing, and physical modeling. |
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Former Students |
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Yun Xiang
Master's Student, Computer Science
Yun Xiang received her bachelor degree in Computer Science from Beihang University in China. Her current research is concerned with the various theoretical and practical aspects of musical information
retrieval, including the design and formal analysis of efficient implementation and experimental evaluation of cover song retrieval.
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Ernest Li
Master's Student, Music Technology
Ernest Li's research is directed toward music information retrieval, geometrical models of tonality and harmony, and application of biological algorithms to the analysis of musical structure. Ernest holds an undergraduate degree in Biology from Occidental College, and his interests include music composition, dance, and visual arts.
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Bennett Kolasinski
Master's Student, Music Technology
After completing his undergraduate degree in Computer Science at Tufts University, Bennett led a double life as a professional computer programmer by day and a musician by night. His research interests revolve around bringing music information retrieval and machine learning into recording environments to make recording software more intuitive and accessible. He is also studying the classification and customization of HRTFs.
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