Sound Interaction and Computing Lab
New Jersey Institute of Technology
Newark, NJ USA
The Sound Interaction and Computing (SInC) Lab is headed by Prof. Mark Cartwright in the Informatics Department of New Jersey Institute of Technology. The lab pursues research at the intersection of Human-Computer Interaction and Machine Learning with the aim of building tools to aid in the understanding and the creative expression of sound. To do so, the lab studies people’s needs and practices, researches new technology to meet those needs, and then studies how people use the new technology.
Prof. Mark Cartwright is the head of the Sound Interaction and Computing Lab, an Assistant Professor in the Department of Informatics, and a core faculty member of the Center for AI Research at NJIT. He researches human-centered machine listening and audio processing tools for understanding and creating sound.
Keita Ohshiro is a PhD student at NJIT in the Department of Informatics, advised by Prof. Cartwright. His research focuses on working with people with disabilities to understand and address accessibility issues related to sound, aiming to make our world and society more inclusive through sound. He is currently working with people who are deaf/Deaf, and Hard of Hearing (DHH) to identify their accessibility challenges in audio production and sound performance.
Sripathi Sridhar is a first year PhD student at NJIT in the Department of Informatics, advised by Prof. Cartwright. He researches problems in machine listening applied to both music and environmental sounds. He is currently investigating data-driven models for open set sound event classification.
Aaron Basch is a second year master’s student at NJIT in the Department of Computer Science. For his master’s thesis, Aaron is researching and developing an intelligent audio production tool for programming synthesizers.
Lucas Bastos is a BS/MS student in Computer Science. In the Sound Interaction and Computing Lab, he assists on the development of open set sound recognition models.
Danzel Serrano is a BS/MS student in Computer Science (BS) and Data Science (MS). He is researching parameterized generative models of environmental sound for use in games and film.
Mehakpreet Kaur is a fourth year undergraduate student in Computing and Business with a minor in Data Analytics. She’ll be working on research about genre-specific beat tracking models.
Simran Kaur is a second year undergraduate majoring in Computer Science. She is currently learning more about machine learning within Open World Sound Event Recognition. She will be assisting with the application of machine listening models to music and environmental sounds.