Research Team

Dr. Kat R. Agres

Dr. Kat 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. 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.

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.

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. 

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. 

Pinar Bilgin

I am currently a Computer Science and Engineering PhD student in NTU, under the SINGA-ASTAR scholarship, working on Brain-Computer Interface (BCI). I am interested in emotion regulation and control using BCI, machine learning, music emotion retrieval, and music information retrieval using tunes as stimuli, and control-BCI using robotics.

Kumaresh S/O Darmalingam

graduated from Royal Melbourne Institute of Technology, with a Degree in Applied Science (Computer Science) with Distinction. I am also a graduate of Singapore Polytechnic with a Diploma in Electronics Computer and Communication Engineering, majoring in Microelectronics. My prior experiences varies in the fields within Engineering and Computer Science. Currently, I am a Research Engineer within Social & Cognitive Computing involved in projects within Music Cognition and, Psychometrics and Decision Science. I am fascinated with the human mind, its intricacy and astounding capacity to regulate, reason, and react. Even at birth, its capabilities are nothing short of fascinating. Yet, it is easily malleable by its environment, experience and age. The complexity of learning, understanding and working with it, brings together fields and professionals from Anthropology, Philosophy, Psychology, Neuroscience, Computer Science, Engineering, Linguistics, and Music. It is a challenging and exciting adventure for me to be a part of.