Principal Investigator

Prof. Dorien Herremans

Dorien Herremans is an Assistant Professor at Singapore University of Technology and Design, and has a joint-appointment at the Insitute 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. Before going to SUTD, she was a Marie Sklodowska-Curie Postdoctoral Fellow at the Centre for Digital Music at Queen Mary University of London. She received her Ph.D. in Applied Economics on the topic of Computer Generation and Classification of Music through Operations Research Methods. 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. Dr. Herremans' research interests include machine learning and music for automatic music generation, data mining for music classification (hit prediction) and novel applications in the intersections of machine learning/optimization and music.

Postdoctoral fellows

Dr. David Grunberg

David Grunberg is currently a postdoctoral research fellow at the Singapore University of Technology and Design (SUTD). He received his PhD from Drexel University in the United States of America, majoring in Electrical Engineering, and with his dissertation focused on the subject of identifying musical beats in noisy audio. His research interests are on the topic of Music-Information Retrieval, and he is especially interested in how algorithms and systems from that field can be used to obtain practical outcomes in real-world situations.

PhD students

Natalie Angus

Natalie is a PhD candidate in Singapore University of Technology and Design (SUTD). She graduated from SUTD in 2015 and received her B. Eng in Information Systems (Robotics). Her research interest includes psyhoacoustics, audio information retrieval, and room acoustic simulations. She also enjoys teaching undergraduate courses involving machine learning algorithms and audio signal processing. Her current work is focused on developing new and fast geometrical acoustic algorithms for binaural room simulations. In particular, methods that minimise computational cost while maintaining perceptual plausibility. Suitable areas for application include music and film production, virtual reality, and gaming.

Kirill Rybachuk

Kirill Rybachuk is a PhD student at the SUTD, starting his program in September under the supervision of Assistant Professor Dorien Herremans. He received BS in Applied Mathematics and Physics from Moscow Institute of Physics and Technology (MIPT) in 2011, MS in Applied Mathematics and Physics from MIPT in 2013 and MS in Economics from Academy of National Economy in 2013. Has been working in industry at several startups as a ML engineer and researcher. Currently working at, improving human pose recognition algorithms. His research interests span generative modeling in music and computer vision, any application of neural networks to audio and visual signal, acceleration and compression of neural networks.

En Yan Koh

Koh En Yan is currently a Ph.D. student in Singapore University of Technology and Design (SUTD), under the supervision of Assistant Professor Dorien Herremans. She received her Bachelor of Engineering in SUTD, under the Information Systems Technology and Design (ISTD) pillar in 2016. Her research interests lie in audio, or more specifically, in speech and music. Currently she is exploring the topic of lyrics to audio alignment.

Abigail Leon

Abigail Lee-Leon is currently a PhD student in Singapore University of Technology and Design (SUTD), under the supervision of Associate Professor Yuen Chau and Assistant Professor Dorien Herremans. She received his Bachelor of Engineering in SUTD, majoring in Engineering Product Development (EPD) in 2016. Her research interest lies in the area of machine learning and how machine learning can be applied to solve problems in the field of underwater communications.

Yin-Jyun Luo

large_507px-Placeholder_male_superhero_c.png Joining soon.

Yeo Sue-Mae

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Visiting students

  • Kin Wai Cheuk
  • Muhd Khairin
  • Omkar Ravindra Kulkarni

SUTD UROP student collaborators

  • Andre Hadianto Lesmana
  • Kenny Soh Chi Tong
  • Tan Li Yang
  • Zhou Enna
  • Zhou Xuexuan
  • Ler Yi Xiang Wesley
  • Nicholas Chan Zhi Wei
  • Sharan Sunil Pillai
  • Wu Xiaomeng
  • Lam Yao Sheng Isaac Marcus