Professor of Instruction in Music Theory
Texas State University, School of Music
Composer, music theorist and Professor of Instruction in Music Theory in the School of Music at Texas State University.
President
Composer, music theorist and Professor of Instruction in Music Theory in the School of Music at Texas State University.
Dimitar Ninov combines work as a music theorist, composer and educator. At the National Academy of Music 'Prof. Pancho Vladigerov' he completed a master's degree in Music Theory in 1992 and a master's degree in Composition in 1996; his composition degree work was 'Concerto for Clarinet and Orchestra'. In 2003 he earned a DMA in Composition from The University of Texas at Austin with 'Spring Symphony, for Orchestra', including a full analytical study. He has served at Texas State University since January 2006 and has held the rank of Professor of Instruction in the School of Music since Fall 2024. His teaching covers music theory, aural learning, composition, harmony and orchestration. His research centres on tonal harmony, musical form, meter and aural-training pedagogy. His professional vita describes him as a published, recorded and award-winning composer and music theorist with international outreach; his music has been performed in many countries across most continents. In 2009 he served as Chairman of the National Association of Composers, USA (NACUSA). Verified publications include 'Basic Formal Structures in Music: A New Approach' and 'The Defects of a Reigning Theory'. As a composer, he works across orchestral, chamber and keyboard genres; his university profile documents works including 'Nuages', Wind Quintet, 'The White Rhino' and the Sonata for Clarinet, Violoncello, and Piano. EuroMAC11 listed him in September 2026 as President of BSMT.
Texas State University, School of Music
Bulgarian Society for Music Theory
His research focuses on tonal harmony, musical form, meter and aural training.
Publications shown: 12
The profile is compiled from verifiable public sources; only sources recorded in the research dataset are shown.