Research Team

Asst Prof. Dr. Kat Agres

Dr. Kat R. Agres joined the Institute of High Performance Computing at A*STAR in early 2017 to help start a programme of research focused on Music Cognition. She has also been an Assistant Professor (Adjunct) at the Yong Siew Toh Conservatory of Music, National University of Singapore (NUS), since the summer of 2018. Kat received her PhD in Experimental Psychology (with a minor in Cognitive Science) from Cornell University, and completed her postdoctoral work at the University of London, where she was supported by a European Union Seventh Framework Programme grant to investigate music perception and computational creativity. She has also played cello professionally, and served as the senior research scientist for a London-based company at the intersection of music technology and health. Kat has presented her work at international workshops and conferences in more than fifteen countries, and has received numerous grants to support her research, including Fellowships from the National Institute of Health (NIH) and the National Institute of Mental Health (NIMH). Her current research explores an interdisciplinary range of topics focused on music cognition, computational simulation of music perception, statistical learning, and translational research on the clinical and therapeutic applications of music. More info on Kat 


Estefanía

Dr. Estefanía Cano Ceron

Estefanía joined the Music Cognition Group at the Agency for Science, Technology and Research A*STAR in Singapore in 2018. Estefanía received her B.Sc. degree in Electronic Engineering from Universidad Pontificia Bolivariana in Medellín - Colombia, her B.A degree in Music-Saxophone Performance from the Universidad de Antioquia in Medellín - Colombia, here M.Sc. degree in Music Engineering from the University of Miami - USA, and her Ph.D in Media Technology from the Ilmenau University of Technology in Germany.  In 2009, Estefanía joined the Semantic Music Technologies group at the Fraunhofer Institute for Digital Media Technology IDMT as a research scientist working on diverse applied research projects in audio, music, and information retrieval. Her research interests include music and audio information retrieval, sound source separation, and computational musicology.


Steffen_Herff

Dr. Steffen A. Herff

Dr. Steffen Herff joined the Institute of High Performance Computing at A*STAR in late 2017. Steffen studied Experimental Psychology at the Heinrich-Heine University in Duesseldorf, Germany, and received his PhD from the MARCS Institute for Brain, Behaviour, and Development at Western Sydney University, Australia. Steffen’s main research focus is situated at the intersection of memory and music perception.The crossroad between memory and music gives rise to a plethora of phenomena such as memory for melodies’ resilience towards interference.Through his research, he explores ways in which music can inform us about the functionality of human memory, whilst simultaneously using the framework and methodology of memory research to understand music perception. Steffen’s research investigates a range of interdisciplinary topics, from negotiations in joint musical performances and statistical learning to neuroscience using ECoG, and he has been awarded several grants to support his work. Together with Dr. Andrew Milnes, Steffen developed XronoMorph, a free app for the algorithmic composition of new rhythms.


Scott

Dr. Scott Beveridge

Dr. Scott Beveridge joined A*STAR in May 2018.  His prior roles include post-doctoral research at the Institute of Musicians’ Medicine (IMM) University of Music Carl Maria von Weber in Dresden, Germany and the Fraunhofer Institute for Digital Media Technology (IDMT), Germany.  Dr. Beveridge also held a lecturer position at Glasgow Caledonian University, Scotland.  He completed his PhD at Glasgow Caledonian University under the supervision of Dr. Don Knox and Professor Raymond MacDonald. The dissertation explored the relationship between perceived emotion and music.


Dorien Herremans

Asst Prof. Dr. Dorien Herremans

Dorien Herremans is an Assistant Professor at Singapore University of Technology and Design, and has a joint-appointment at the Institute of High Performance Computing, A*STAR . Before that she was a Marie Sklodowska-Curie Postdoctoral Fellow at the Centre for Digital Music 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''. Dr. Herremans 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. Dr. Herremans' research interests include novel applications in the intersection of machine learning/optimization/AI and music. More info on Dorien.


pinar

Pinar Bilgin

Pinar is currently a Computer Science and Engineering PhD student in NTU, under the SINGA-ASTAR scholarship, working on Brain-Computer Interface (BCI). She is interested in emotion regulation and control using BCI, music emotion retrieval and music information retrieval using tunes as stimuli, computational neuroscience, and neural rehabilitation using BCI.


Huzaifah Muhammad

Muhammad Huzaifah bin Md Shahrin

Huzaifah obtained his Bachelor’s degree in Physics from Imperial College London in 2015. Upon graduation he spent a year with the Intuitive Interaction Technologies group in IHPC developing middleware for a social teaching robot. He is currently pursuing a PhD at the National University of Singapore Graduate School for Integrative Sciences and Engineering (NGS) under the A*STAR Graduate Scholarship, focussing on deep learning-based research with applications to audio synthesis. In his spare time, he enjoys playing the piano and guitar, taking photos, and learning the Japanese language. 


Yin-Jyun Luo

Yin-Jyun Luo

Yin-Jyun Luo is a SINGA-ASTAR awardee and a Ph.D student at Singapore University of Technology and Design. He is under the supervision of Prof. Dorien Herremans and Dr. Kat Agres. Based in Taiwan, he was a full-time research assistant in the Music and Culture Technology Lab lead by Dr. Li Su in Academia Sinica, and received an M.S. in Sound and Music Innovative Technologies, National Chiao Tung University. Yin-Jyun’s is currently working on deep generative models and representation learning for music.


Kin Wai Cheuk

Kin Wai Cheuk

Kin Wai Cheuk is a Ph.D candidate at Singapore University of Technology and Design, under the supervision of Professor Dorien Herremans and Dr. Kat Agres. He received both his Bachler of Science in Physics (Minor in Music) and Master of Philosophy in Mechanical Engineering in The University of Hong Kong. His research interest is neural network based music composition and music audio transcription.


Praveena

Praveena Satkunarajah

Praveena obtained her Bachelor’s degree in Computer Science at Nanyang Technological University, and is currently pursuing a Master’s in Information Studies there. She is currently a research engineer at the Institute for High Performance Computing in the Social and Cognitive Computing department. Her research interests include Data Mining, Machine Learning and Cognitive Science.