Dorien Herremans

Dorien Herremans
Born (1982-07-26) July 26, 1982 (age 42)
Belgium
Occupation(s)Associate Professor, Singapore University of Technology and Design
WebsiteDorien Herremans

Dorien Herremans (born July 26, 1982) is a Belgian computer music researcher. Herremans is a tenured associate professor in the Singapore University of Technology and Design,[1] and previously held a joint appointment at the Institute of High Performance Computing, A*STAR. She also works as a certified instructor for the NVIDIA Deep Learning Institute and is director of SUTD Game Lab.[2] Before going to SUTD, she was a recipient of the Marie Sklodowska-Curie Postdoctoral Fellowship at the Centre for Digital Music (C4DM) at Queen Mary University of London, where she worked on the project MorpheuS: Hybrid Machine Learning – Optimization techniques To Generate Structured Music Through Morphing And Fusion.[3] She received her Ph.D. in Applied Economics on the topic of Computer Generation and Classification of Music through Operations Research Methods.[citation needed] She graduated as a commercial engineer in management information systems at the University of Antwerp in 2005. After that, she worked as a Drupal consultant and was an IT lecturer at the Les Roches University in Bluche, Switzerland. She also worked as a 'mandaatassistent' at the University of Antwerp, in the domain of operations management, supply chain management and operations research.

Herremans' work focuses on generative music AI, data mining for music classification (hit prediction) and other novel applications in the intersections of AI, machine learning/optimization and music. She is a senior member of the IEEE.[4] In 2021 she was nominated to the Singapore 100 Women in Technology list,[5] and her Mustango: Controllable text-to-music Project won the SAIL Award Top 30 at the World Artificial Intelligence Conference in Shanghai in 2024.[6]

Herremans' research on dance hit prediction, automatic piano fingering and AI automatic music generation systems (e.g. MorpheuS) has received attention in the popular press, including international magazines such as Motherboard from Vice magazine,[7] Channel News Asia's Documentary Algorithms Episode 1: "Rage Against The Machine",[8] The San Francisco Examiner,[9] Belgian national TV[10] and Belgian and French national radio.[11][12]

  1. ^ "Dr. Dorien Herremans, Assistant Professor". Singapore University of Technology and Design.
  2. ^ "Meet The Team". SUTD Game Lab.
  3. ^ "Hybrid Machine Learning – Optimization techniques To Generate Structured Music Through Morphing And Fusion". CORDIS.
  4. ^ "Dorien Herremans". IEEE. Retrieved 2022-02-03.
  5. ^ "SG100WIT 2021 List - Citations". Singapore Computer Society. Archived from the original on 22 January 2023. Retrieved 3 February 2002.
  6. ^ "Congratulations to Associate Professor Dorien Herremans on winning the SAIL WAIC Award Top 30". Information Systems Technology and Design (ISTD). Retrieved 2024-07-27.
  7. ^ Neal, Meghan (17 December 2015). "A Machine Successfully Predicted the Hit Dance Songs of 2015". Motherboard.
  8. ^ "Rage Against The Machine". Algorithms. Series 1. Episode 1. 1 October 2018. Channel NewsAsia.
  9. ^ Smoliar, Stephen (4 May 2016). "The Bleeding Edge: The Center for New Music Launches a New Concert Series". The San Francisco Examiner – via Elaine Chew Blog.[user-generated source]
  10. ^ "Op een wetenschappelijk verantwoorde manier te weten komen of je een dance-hit hebt gemaakt of niet?" [Would you like to find out in a scientifically responsible way whether you have made a dance hit or not?]. Reyers Laat (in Dutch). 1 December 2014 – via Dorien Herremans.com.
  11. ^ Rozec, Thomas (26 November 2014). "Comment prédire qu'une chanson sera un tube?" [How do you predict that a song will be a hit?]. France Info (in French).
  12. ^ Herremans, Dorien (23 February 2013). "ANT/OR - Radio 2 - FuX-app genereert muziek in de stijl van Bach, Beethoven en Haydn" [ANT/OR - Radio 2 - FuX app generates music in the style of Bach, Beethoven and Haydn]. YouTube (in Dutch).